CN112766844A - Multi-level guarantee deployment method based on networked system - Google Patents
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Abstract
The invention discloses a multi-level guarantee deployment method based on a networked system, which comprises the following steps: s1, analysis modeling: according to the requirements of uniform sampling of monitoring data and energy saving of data transmission, a uniformly clustered square basic monitoring area model is established; s2, grading: comprehensively dividing according to the geographic position, the shape grade and other capabilities, carrying out grade division on the resource warehouse model, and establishing a resource warehouse according to the grade; s3, ensuring deployment: different guarantee resources are deployed according to the grade of the resource warehouse, so that the resource warehouse with a high grade is ensured to be richer in resources; s4, conveying guarantee: and the resource amount of the resource warehouse of the deployment point is known in real time, regular conveying guarantee is carried out according to the resource amount, and the position of the resource warehouse and the resource amount are uploaded to an encryption cloud. The multi-level guarantee deployment method based on the networked system not only reduces resource waste, but also can adjust resource points according to actual conditions in a regular resource configuration mode.
Description
Technical Field
The invention belongs to the technical field of resource guarantee, and particularly relates to a multi-level guarantee deployment method based on a networked system.
Background
Aiming at the current technological development condition, the technical levels of various scientific devices and weaponry are more and more advanced, and the technical performance is higher and higher, so that the requirements on corresponding equipment guarantee resources and guarantee conditions are more and more increased. In a specific operation space, how to scientifically plan and guarantee resource points, how to rapidly and efficiently provide and guarantee resources, and how to reduce cost directly determine the life cycle of equipment and directly influence the integrity of the equipment and the overall working performance of the system. Particularly for a networked system, because the information transmission of the system itself and the mesh structure of the cooperative work have the particularity of high integration and the like, it is more difficult to establish a guarantee deployment scheme of the networked system.
The Chinese patent document discloses a multi-level guarantee deployment method (No. CN106056330B) based on a networked system, which is used for deploying the networked system with multi-level guarantee layers; the method comprises the following steps: step 1: acquiring information of a multi-level guarantee layer in a networked system, wherein the multi-level guarantee layer comprises 1 st to Mth levels from low to high, and each level comprises a plurality of nodes; for the mth level barrier layer, the initial value of m is 1, and the step 2 is entered; has the advantages that: and the random optimization idea is adopted, so that the excess or shortage of material storage is avoided, and the deployment mode is more in line with the actual situation. But has the disadvantages that: the goods can not be distributed according to the actual conditions, so that the old board is too old, and the actual using effect is influenced.
Therefore, in view of the current situation, it is urgently needed to design and produce a multi-level guarantee deployment method based on a networked system so as to meet the needs of practical use.
Disclosure of Invention
The invention aims to provide a multi-level guarantee deployment method based on a networked system, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a multi-level guarantee deployment method based on a networked system comprises the following steps:
s1, analysis modeling: according to the requirements of uniform sampling of monitoring data and energy saving of data transmission, a uniformly clustered square basic monitoring area model is established;
s2, grading: comprehensively dividing according to the geographic position, the shape grade and other capabilities, carrying out grade division on the resource warehouse model, and establishing a resource warehouse according to the grade;
s3, ensuring deployment: different guarantee resources are deployed according to the grade of the resource warehouse, so that the resource warehouse with a high grade is ensured to be richer in resources;
s4, conveying guarantee: the method comprises the steps of knowing the resource amount of a resource warehouse of a deployment point in real time, carrying out regular conveying guarantee according to the resource amount, and uploading the position of the resource warehouse and the resource amount to an encryption cloud end;
s5, guarantee conveying: according to the resource amount of the resource warehouse of the deployment point, when the guaranteed resources need to be extracted, the extraction amount is selected, and if the extraction amount is insufficient, the guaranteed resources are extracted from other resource warehouses according to the principle of proximity;
s6, guarantee judgment: and if the number of the extracted guaranteed resource warehouses is more than two, reselecting a new resource warehouse capable of realizing one-time extraction of guaranteed resources, if the distance between the new resource warehouse and the guaranteed resource warehouses is less than the distance between the guaranteed resource warehouses, selecting for use, and if the distance between the new resource warehouse and the guaranteed resource warehouses is more than the distance between the guaranteed resource warehouses, further performing resource guarantee according to the previous selection.
Preferably, the resource warehouse is subjected to moisture-proof and theft-proof treatment, and the material of the resource warehouse is set as the material for ensuring the safety.
Preferably, the encryption cloud is used for storing the position and the grade of each resource warehouse and the existing resource amount of the resource warehouse, and the time for next-wave conveying guarantee is solved.
Preferably, the encryption cloud also calculates and counts the resource amount of each resource warehouse periodically, and changes the resource amount of the transportation guarantee of each resource warehouse periodically.
Preferably, each resource warehouse is provided with a circular coverage area, and the coverage areas of the resource warehouses facilitate reasonable route planning during subsequent guarantee conveying.
Preferably, in the process of guarantee judgment, the route is planned by using a map, and various routes are planned for a user to select.
Preferably, the plurality of resource warehouses are divided into a primary resource warehouse, a secondary resource warehouse and a tertiary resource warehouse.
Preferably, the safety and various data of the primary resource warehouse, the secondary resource warehouse and the tertiary resource warehouse are sequentially reduced.
The invention has the technical effects and advantages that: according to the multi-level guarantee deployment method based on the networked system, the resource configuration can be conveniently known through guarantee judgment, the route setting can be conveniently known, unnecessary travel is avoided, and the waste of resources is reduced; the resource warehouses of three levels are divided, so that the situation that the resources are too dispersed to affect the deployment and the subsequent conveying of the resources is avoided, and the encryption cloud adjusts the resource point according to the actual situation to meet different use requirements; the multi-level guarantee deployment method based on the networked system not only reduces resource waste, but also can adjust resource points according to actual conditions in a regular resource configuration mode.
Detailed Description
The technical solutions in the present disclosure will be clearly and completely described below with reference to the present disclosure, and it is obvious that the described contents are only a part of the present disclosure, and not all of the present disclosure. All other matters which can be obtained by a person skilled in the art without making creative efforts based on the contents of the present invention belong to the protection scope of the present invention.
The invention provides a multi-level guarantee deployment method based on a networked system, which comprises the following steps:
s1, analysis modeling: according to the requirements of uniform sampling of monitoring data and energy saving of data transmission, a uniformly clustered square basic monitoring area model is established;
s2, grading: comprehensively dividing according to the geographic position, the shape grade and other capabilities, carrying out grade division on the resource warehouse model, and establishing a resource warehouse according to the grade;
s3, ensuring deployment: different guarantee resources are deployed according to the grade of the resource warehouse, so that the resource warehouse with a high grade is ensured to be richer in resources;
s4, conveying guarantee: the resource amount of a resource warehouse of a deployment point is known in real time, regular conveying guarantee is carried out according to the resource amount, the position of the resource warehouse and the resource amount are uploaded to an encryption cloud end, and the encryption cloud end guarantees high safety;
s5, guarantee conveying: according to the resource amount of the resource warehouse of the deployment point, when the guaranteed resources need to be extracted, the extraction amount is selected, and if the extraction amount is insufficient, the guaranteed resources are extracted from other resource warehouses according to the principle of proximity;
s6, guarantee judgment: and if the number of the extracted guaranteed resource warehouses is more than two, re-selecting a new resource warehouse capable of realizing one-time extraction of guaranteed resources, if the distance between the new resource warehouses is less than the distance between the plurality of guaranteed resource warehouses, selecting for use, and if the distance between the new resource warehouses is more than the distance between the plurality of guaranteed resource warehouses, further performing resource guarantee according to the previous selection, designing an overall route, and reducing the overall transportation amount according to the principle of the most economical route.
Specifically, the resource warehouse is subjected to moisture-proof and theft-proof treatment, and the material of the resource warehouse is set as the material for ensuring the safety.
Specifically, the encryption cloud is used for storing the position and the grade of each resource warehouse and the current resource amount of the resource warehouse, and the time of next-wave conveying guarantee is solved.
Specifically, the encryption cloud end also periodically calculates and counts the resource amount of each resource warehouse, and periodically changes the resource amount of the transportation guarantee of each resource warehouse.
Specifically, each resource warehouse is provided with a circular coverage area, and the coverage areas of the resource warehouses facilitate reasonable route planning during subsequent guarantee conveying.
Specifically, in the process of guarantee judgment, a route utilization map is planned, and various routes are planned for a user to select.
Specifically, the plurality of resource warehouses are divided into a primary resource warehouse, a secondary resource warehouse and a tertiary resource warehouse, and the grades are selected according to actual conditions.
Specifically, the security and various data of the primary resource warehouse, the secondary resource warehouse and the tertiary resource warehouse are sequentially reduced.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing description, it will be apparent to one skilled in the art that various changes, modifications, equivalents, and improvements may be made without departing from the spirit and scope of the invention.
Claims (8)
1. A multi-level guarantee deployment method based on a networked system is characterized by comprising the following steps:
s1, analysis modeling: according to the requirements of uniform sampling of monitoring data and energy saving of data transmission, a uniformly clustered square basic monitoring area model is established;
s2, grading: comprehensively dividing according to the geographic position, the shape grade and other capabilities, carrying out grade division on the resource warehouse model, and establishing a resource warehouse according to the grade;
s3, ensuring deployment: different guarantee resources are deployed according to the grade of the resource warehouse, so that the resource warehouse with a high grade is ensured to be richer in resources;
s4, conveying guarantee: the method comprises the steps of knowing the resource amount of a resource warehouse of a deployment point in real time, carrying out regular conveying guarantee according to the resource amount, and uploading the position of the resource warehouse and the resource amount to an encryption cloud end;
s5, guarantee conveying: according to the resource amount of the resource warehouse of the deployment point, when the guaranteed resources need to be extracted, the extraction amount is selected, and if the extraction amount is insufficient, the guaranteed resources are extracted from other resource warehouses according to the principle of proximity;
s6, guarantee judgment: and if the number of the extracted guaranteed resource warehouses is more than two, reselecting a new resource warehouse capable of realizing one-time extraction of guaranteed resources, if the distance between the new resource warehouse and the guaranteed resource warehouses is less than the distance between the guaranteed resource warehouses, selecting for use, and if the distance between the new resource warehouse and the guaranteed resource warehouses is more than the distance between the guaranteed resource warehouses, further performing resource guarantee according to the previous selection.
2. The multi-level guarantee deployment method based on the networked system according to claim 1, wherein: the resource warehouse is subjected to moisture-proof and theft-proof treatment, and the material of the resource warehouse is set as the material for ensuring the safety.
3. The multi-level guarantee deployment method based on the networked system according to claim 1, wherein: the encryption cloud is used for storing the position and the grade of each resource warehouse and the current resource amount of the resource warehouse, and the time of next-wave conveying guarantee is solved.
4. The multi-level guarantee deployment method based on the networked system according to claim 1, wherein: the encryption cloud end also periodically calculates and counts the resource quantity of each resource warehouse and periodically changes the resource quantity of the conveying guarantee of each resource warehouse.
5. The multi-level guarantee deployment method based on the networked system according to claim 1, wherein: each resource warehouse is provided with a circular coverage area, and the coverage areas of the resource warehouses facilitate reasonable route planning during subsequent guarantee conveying.
6. The multi-level guarantee deployment method based on the networked system according to claim 1, wherein: and planning the route by using the map in the process of ensuring judgment, and planning various routes for a user to select.
7. The multi-level guarantee deployment method based on the networked system according to claim 1, wherein: the plurality of resource warehouses are divided into a primary resource warehouse, a secondary resource warehouse and a tertiary resource warehouse.
8. The multi-level guarantee deployment method based on the networked system according to claim 7, wherein: the safety and various data of the primary resource warehouse, the secondary resource warehouse and the tertiary resource warehouse are sequentially reduced.
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CN104965854A (en) * | 2015-05-18 | 2015-10-07 | 济南创智电气科技有限公司 | Automatic plotting method and system for material allocation based on electrical network GIS |
CN105303285A (en) * | 2014-09-04 | 2016-02-03 | 国网山东省电力公司应急管理中心 | Intelligent allocation method for power emergency disposal materials |
CN105809960A (en) * | 2016-04-07 | 2016-07-27 | 东南大学 | Urban traffic emergency resource layout method and device |
CN105868839A (en) * | 2016-02-26 | 2016-08-17 | 海南电网有限责任公司 | Emergency material reservation optimization system |
CN106056330A (en) * | 2016-05-26 | 2016-10-26 | 北京理工大学 | Multi-level guarantee deployment method based on networked system |
CN106529782A (en) * | 2016-11-02 | 2017-03-22 | 贵州电网有限责任公司贵阳供电局 | Electric power emergency goods and materials comprehensive guarantee analysis and management platform and calculation method |
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- 2021-01-05 CN CN202110009608.0A patent/CN112766844A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
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CN105303285A (en) * | 2014-09-04 | 2016-02-03 | 国网山东省电力公司应急管理中心 | Intelligent allocation method for power emergency disposal materials |
CN104965854A (en) * | 2015-05-18 | 2015-10-07 | 济南创智电气科技有限公司 | Automatic plotting method and system for material allocation based on electrical network GIS |
CN105868839A (en) * | 2016-02-26 | 2016-08-17 | 海南电网有限责任公司 | Emergency material reservation optimization system |
CN105809960A (en) * | 2016-04-07 | 2016-07-27 | 东南大学 | Urban traffic emergency resource layout method and device |
CN106056330A (en) * | 2016-05-26 | 2016-10-26 | 北京理工大学 | Multi-level guarantee deployment method based on networked system |
CN106529782A (en) * | 2016-11-02 | 2017-03-22 | 贵州电网有限责任公司贵阳供电局 | Electric power emergency goods and materials comprehensive guarantee analysis and management platform and calculation method |
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Application publication date: 20210507 |