CN112488530A - Intelligent level monitoring method, system, equipment and medium for refining enterprise - Google Patents
Intelligent level monitoring method, system, equipment and medium for refining enterprise Download PDFInfo
- Publication number
- CN112488530A CN112488530A CN202011389780.5A CN202011389780A CN112488530A CN 112488530 A CN112488530 A CN 112488530A CN 202011389780 A CN202011389780 A CN 202011389780A CN 112488530 A CN112488530 A CN 112488530A
- Authority
- CN
- China
- Prior art keywords
- domain
- sub
- submodule
- intelligent
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000007670 refining Methods 0.000 title claims abstract description 120
- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000012544 monitoring process Methods 0.000 title claims abstract description 20
- 238000011156 evaluation Methods 0.000 claims abstract description 134
- 238000013461 design Methods 0.000 claims abstract description 12
- 238000004364 calculation method Methods 0.000 claims description 17
- 238000004519 manufacturing process Methods 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 15
- 206010063385 Intellectualisation Diseases 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 9
- 230000010354 integration Effects 0.000 claims description 8
- 238000003860 storage Methods 0.000 claims description 7
- 238000013480 data collection Methods 0.000 claims description 4
- 230000036541 health Effects 0.000 claims description 4
- 238000007689 inspection Methods 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 claims description 4
- 238000005457 optimization Methods 0.000 claims description 4
- 238000011160 research Methods 0.000 claims description 3
- 238000010276 construction Methods 0.000 abstract description 22
- 238000011161 development Methods 0.000 description 4
- 238000013210 evaluation model Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 239000003921 oil Substances 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000012356 Product development Methods 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 239000010779 crude oil Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- BTCSSZJGUNDROE-UHFFFAOYSA-N gamma-aminobutyric acid Chemical compound NCCCC(O)=O BTCSSZJGUNDROE-UHFFFAOYSA-N 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Software Systems (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Human Computer Interaction (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses an intelligent level monitoring method, system, equipment and medium for refining enterprises, which comprises the following steps: the parameter configuration interface is used for configuring the corresponding relation between the refining enterprise and the display architecture; the data acquisition interface is used for acquiring source data; the weight setting interface is used for setting the weight of the service domain, the submodule and the value element evaluation index; the first calculating unit is used for calculating the intelligentized level score of each submodule to obtain the evaluation result of the submodule; the second calculating unit is used for calculating the intelligent level score of each service domain to obtain the evaluation result of the service domain; the third calculating unit is used for calculating the overall intelligent level score of the target refining enterprise to obtain the overall evaluation result of the target refining enterprise; and the information display interface is used for displaying the evaluation result by utilizing the display framework. Therefore, the level evaluation can be made on the intelligent construction of the refining enterprise, and decision support and guidance are provided for optimizing the design and implementation of the intelligent construction top layer.
Description
Technical Field
The invention relates to the field of the construction of refining and chemical enterprises, in particular to an intelligent level monitoring method, system, equipment and medium for refining and chemical enterprises.
Background
The oil refining petrochemical industry, which is the most important part of the manufacturing industry in the process industry, is an important cornerstone of the pillar industry for the development of the economic society and the solid economy. The refining process in China makes great progress in aspects such as industrial layout, processing scale, and land-based and park-like development, adaptability of device structure and processed crude oil, clean production, energy conservation, environmental protection, automation, informatization and the like, but still faces the constraints and challenges in aspects such as resources, energy, environment, safety and the like. The root of the method is that the intelligent construction level of the refining enterprises cannot keep pace with the industrialization.
The environment, the information development status and the level of each refining enterprise are different, the capacity status, the development target and the vision, the facing problems and the execution strategy of intelligent construction are different, how to adopt a reasonable and objective evaluation method to evaluate the intelligent level of the refining enterprise is a problem to be solved urgently in the top-level design of the intelligent construction of the refining enterprise. At present, the evaluation method mainly takes artificial subjective experience as a main part, each department of the refining enterprise evaluates the evaluation respectively, the overall intelligent level of the refining enterprise cannot be objectively given, meanwhile, the evaluation indexes are different, and the evaluation indexes cannot be determined based on a uniform evaluation standard and a result with comparability can be obtained.
Disclosure of Invention
In view of the above, the present invention provides an intelligent level monitoring method, system, device and medium for an refining enterprise, which can not only make level estimation on the intelligent construction of a target refining enterprise, but also analyze the construction scheme thereof. The specific scheme is as follows:
a computer system, comprising:
the parameter configuration interface is used for configuring the corresponding relation between the refining enterprise and a display framework, and the display framework is used for displaying the evaluation result;
the data acquisition interface is used for acquiring source data corresponding to the target refining enterprise; the source data comprises all business domains of the target refining enterprise, all sub-modules corresponding to all the business domains, all intelligent characteristic stages corresponding to all the sub-modules and all value element evaluation indexes corresponding to all the intelligent characteristic stages;
the weight setting interface is used for setting the weight of the service domain, the weight of the sub-module and the weight of the value element evaluation index;
a first calculating unit, configured to calculate an intellectualization level score of each sub-module according to the value element evaluation index, the weight of the value element evaluation index, the total number of the intelligent feature phases, and the total number of the value element evaluation indexes corresponding to each intelligent feature phase, so as to obtain an evaluation result of the sub-module;
the second calculation unit is used for calculating the intelligent level score of each business domain according to the intelligent level score of the sub-modules, the weight of the sub-modules and the total number of the sub-modules corresponding to each business domain to obtain the evaluation result of the business domain;
the third calculation unit is used for calculating the overall intelligent level score of the target refining enterprise according to the intelligent level score of the business domain, the weight of the business domain and the total number of the business domains to obtain the overall evaluation result of the target refining enterprise;
and the information display interface is used for determining a display framework corresponding to the target refining enterprise according to the corresponding relation, and displaying the evaluation result of the sub-module, the evaluation result of the business domain and the evaluation result of the whole target refining enterprise by using the display framework.
Preferably, in the computer system provided in the embodiment of the present invention, the data acquisition interface includes:
and the service domain data acquisition interface is used for acquiring data of a control domain, an equipment domain, a production domain, a supply chain domain, a product chain domain, an operation chain domain, a service chain domain, a security domain, an information domain and a value chain domain of the target refining enterprise.
Preferably, in the computer system provided in the embodiment of the present invention, the data acquisition interface further includes:
a sub-module data acquisition interface used for acquiring a control sub-module corresponding to a control domain of a target refining enterprise, an equipment sub-module corresponding to an equipment domain, a production sub-module, a plan sub-module, a scheduling sub-module, a quality sub-module and an energy sub-module corresponding to a production domain, an anomaly routing inspection submodule and a maintenance submodule, a purchasing submodule, a selling submodule, an inventory submodule and a transportation submodule corresponding to a supply chain domain, a product research submodule and a process design submodule corresponding to a product chain domain, a user submodule, a financial submodule and a personnel submodule corresponding to an operation chain domain, a service submodule corresponding to a service chain domain, a health and sanitation submodule, a field safety submodule and an environment protection submodule corresponding to a safety domain, an information safety submodule and an infrastructure submodule corresponding to an information domain, and a strategy planning submodule and a system integration submodule corresponding to a value chain domain.
Preferably, in the computer system provided in the embodiment of the present invention, the data acquisition interface further includes:
and the intelligent characteristic phase data acquisition interface is used for acquiring data of a concept-free phase, a planning phase, a specification phase, an integration phase, an optimization phase and a leading phase corresponding to each submodule in the target refining enterprise.
Preferably, in the computer system provided in the embodiment of the present invention, the first calculating unit is specifically configured to calculate the intellectualization level score of each sub-module by using a first formula; the first formula is:
wherein, aqRepresenting an intelligent level score, α, of the qth sub-module in the business domaini,jWeight of j-th value element evaluation index corresponding to i-th intelligent characteristic stage in q-th submodule, CjAnd the evaluation indexes of the j-th value elements are represented, N represents the total number of intelligent characteristic stages in the q-th sub-module, and k represents the total number of the evaluation indexes of the value elements corresponding to the ith intelligent characteristic stage in the q-th sub-module.
Preferably, in the computer system provided in the embodiment of the present invention, the second calculating unit is specifically configured to calculate the intellectualization level score of the business domain by using a second formula; the second formula is:
wherein A isrAn intelligent level score, a, representing the r-th business domainqRepresenting an intelligent level score, β, of the qth sub-module in the business domainr,qAnd the weight of the q sub-module corresponding to the r-th service domain is represented, and n represents the total number of the sub-modules corresponding to the r-th service domain.
Preferably, in the computer system provided in the embodiment of the present invention, the third calculating unit is specifically configured to calculate an overall intelligent level score of the target refining enterprise by using a third formula; the third formula is:
wherein S represents the overall intelligentized level score of the target refining enterprise, ArExpressing the intelligentized level score, gamma, of the r-th business domainrIndicates the r-th serviceThe weight of the domains, M, represents the total number of business domains.
The embodiment of the invention also provides an intelligent level monitoring method for the refining enterprise, which comprises the following steps:
configuring a corresponding relation between an refining enterprise and a display framework through a parameter configuration interface, wherein the display framework is a framework for displaying evaluation results;
acquiring source data corresponding to a target refining enterprise through a data acquisition interface; the source data comprises all business domains of the target refining enterprise, all sub-modules corresponding to all the business domains, all intelligent characteristic stages corresponding to all the sub-modules and all value element evaluation indexes corresponding to all the intelligent characteristic stages;
setting the weight of the service domain, the weight of the sub-module and the weight of the value element evaluation index through a weight setting interface;
calculating the intellectualization level score of each submodule through a first calculating unit according to the value element evaluation indexes, the weight of the value element evaluation indexes, the total number of the intelligent characteristic stages and the total number of the value element evaluation indexes corresponding to each intelligent characteristic stage to obtain the evaluation result of the submodule;
calculating the intelligent level score of each business domain through a second calculating unit according to the intelligent level score of the sub-modules, the weight of the sub-modules and the total number of the sub-modules corresponding to each business domain to obtain the evaluation result of the business domain;
calculating the overall intelligent level score of the target refining enterprise through a third calculating unit according to the intelligent level score of the business domain, the weight of the business domain and the total number of the business domains to obtain the overall evaluation result of the target refining enterprise;
and determining a display framework corresponding to the target refining enterprise according to the corresponding relation, and displaying the evaluation result of the sub-module, the evaluation result of the business domain and the evaluation result of the whole target refining enterprise by using the display framework through an information display interface.
The embodiment of the invention also provides electronic equipment which comprises a processor and a memory, wherein the intelligent level monitoring method for the refining enterprise provided by the embodiment of the invention is realized when the processor executes the computer program stored in the memory.
The embodiment of the invention also provides a computer readable storage medium for storing a computer program, wherein the computer program is executed by a processor to realize the intelligent level monitoring method for the refining enterprise provided by the embodiment of the invention.
As can be seen from the foregoing technical solutions, a computer system provided by the present invention includes: the parameter configuration interface is used for configuring the corresponding relation between the refining enterprise and the display framework, and the display framework is used for displaying the evaluation result; the data acquisition interface is used for acquiring source data corresponding to the target refining enterprise; the source data comprises all service domains of the target refining enterprise, all sub-modules corresponding to all the service domains, all intelligent characteristic stages corresponding to all the sub-modules and all value element evaluation indexes corresponding to all the intelligent characteristic stages; the weight setting interface is used for setting the weight of the service domain, the weight of the submodule and the weight of the value element evaluation index; the first calculation unit is used for calculating the intellectualization level score of each submodule according to the value element evaluation indexes, the weight of the value element evaluation indexes, the total number of the intelligent characteristic stages and the total number of the value element evaluation indexes corresponding to each intelligent characteristic stage to obtain the evaluation result of the submodule; the second calculation unit is used for calculating the intelligent level score of each service domain according to the intelligent level score of the sub-modules, the weight of the sub-modules and the total number of the sub-modules corresponding to each service domain to obtain the evaluation result of the service domain; the third calculating unit is used for calculating the overall intelligent level score of the target refining enterprise according to the intelligent level score of the business domain, the weight of the business domain and the total number of the business domains to obtain the overall evaluation result of the target refining enterprise; and the information display interface is used for determining a display framework corresponding to the target refining enterprise according to the corresponding relation, and displaying the evaluation result of the submodule, the evaluation result of the business domain and the overall evaluation result of the target refining enterprise by using the display framework.
According to the computer system provided by the invention, through the interaction of the parameter configuration interface, the data acquisition interface, the weight setting interface, the first calculation unit, the second calculation unit, the third calculation unit and the information display interface, the intelligent evaluation indexes of the refining enterprise can be quantified from the service field dimension, the intelligent characteristic stage dimension and the value element dimension of the refining enterprise, the intelligent scores of different levels are calculated through optimizing the weight grade, and all sub-modules are integrated into a global intelligent evaluation model, so that the global intelligent level evaluation result of the target refining enterprise is given. According to the method, the level evaluation can be made on the intelligent construction of the target refining enterprise, the construction scheme can be analyzed, and decision support and guidance are provided for further optimizing the design and implementation of the intelligent construction top layer. In addition, the invention also provides a corresponding intelligent level monitoring method, equipment and a computer readable storage medium for the computer system, so that the computer system has higher practicability.
Drawings
In order to more clearly illustrate the embodiments of the present invention or technical solutions in related arts, the drawings used in the description of the embodiments or related arts will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a computer system according to an embodiment of the present invention;
fig. 2 is a flowchart of an intelligent level monitoring method for an oil refinery enterprise according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The present invention provides a computer system, as shown in fig. 1, comprising:
the parameter configuration interface 11 is used for configuring the corresponding relationship between the refining enterprise and a display framework, and the display framework is a framework for displaying the evaluation result;
the data acquisition interface 12 is used for acquiring source data corresponding to the target refining enterprise; the source data comprises all service domains of the target refining enterprise, all sub-modules corresponding to all the service domains, all intelligent characteristic stages corresponding to all the sub-modules and all value element evaluation indexes corresponding to all the intelligent characteristic stages;
a weight setting interface 13, configured to set a weight of the service domain, a weight of the sub-module, and a weight of the value element evaluation index;
the first calculating unit 14 is configured to calculate an intelligentization level score of each sub-module according to the value element evaluation index, the weight of the value element evaluation index, the total number of the intelligent feature stages, and the total number of the value element evaluation indexes corresponding to each intelligent feature stage, so as to obtain an evaluation result of the sub-module;
the second calculating unit 15 is configured to calculate the intelligent level score of each service domain according to the intelligent level score of the sub-modules, the weight of the sub-modules, and the total number of the sub-modules corresponding to each service domain, so as to obtain an evaluation result of the service domain;
the third calculating unit 16 is configured to calculate an overall intelligent level score of the target refining enterprise according to the intelligent level score of the business domain, the weight of the business domain, and the total number of the business domains, so as to obtain an overall evaluation result of the target refining enterprise;
and the information display interface 17 is used for determining a display framework corresponding to the target refining enterprise according to the corresponding relation, and displaying the evaluation result of the submodule, the evaluation result of the business domain and the evaluation result of the whole target refining enterprise by using the display framework.
In the computer system provided by the embodiment of the invention, through the interaction of the parameter configuration interface, the data acquisition interface, the weight setting interface, the first calculation unit, the second calculation unit, the third calculation unit and the information display interface, the intelligent evaluation indexes of the refining enterprise can be quantified for the dimension of the service field, the dimension of the intelligent characteristic stage and the dimension of the value element of the refining enterprise, the intelligent scores of different levels are calculated through optimizing the weight level, and all sub-modules are integrated into a global intelligent evaluation model to give a global intelligent level evaluation result of the target refining enterprise. According to the method, the level evaluation can be made on the intelligent construction of the target refining enterprise, the construction scheme can be analyzed, and decision support and guidance are provided for further optimizing the design and implementation of the intelligent construction top layer. Thus, scientific and reasonable intelligent level analysis and evaluation of the refining enterprises are carried out by combining the service characteristics and the production process requirements of the target refining enterprises, and powerful basis can be provided for the intelligent construction of top level design of the refining enterprises.
In a specific implementation, in the computer system provided in the embodiment of the present invention, the data acquisition interface may include: and the service domain data acquisition interface is used for acquiring data of a control domain, an equipment domain, a production domain, a supply chain domain, a product chain domain, an operation chain domain, a service chain domain, a security domain, an information domain and a value chain domain of the target refining enterprise.
It should be noted that, according to the business theme of the refining enterprise, the enterprise domain may be divided into 10 business domains, namely, a control domain, an equipment domain, a production domain, a supply chain domain, a product chain domain, a business chain domain, a service chain domain, a security domain, an information domain and a value chain domain, which are denoted as amM is 1,2, …, M, where M is 10; the data of the 10 service domains can be collected through the service domain data collecting interface.
Further, in a specific implementation, the data acquisition interface may further include: a sub-module data acquisition interface used for acquiring a control sub-module corresponding to a control domain of a target refining enterprise, an equipment sub-module corresponding to an equipment domain, a production sub-module, a plan sub-module, a scheduling sub-module, a quality sub-module and an energy sub-module corresponding to a production domain, an anomaly routing inspection submodule and a maintenance submodule, a purchasing submodule, a selling submodule, an inventory submodule and a transportation submodule corresponding to a supply chain domain, a product research submodule and a process design submodule corresponding to a product chain domain, a user submodule, a financial submodule and a personnel submodule corresponding to an operation chain domain, a service submodule corresponding to a service chain domain, a health and sanitation submodule, a field safety submodule and an environment protection submodule corresponding to a safety domain, an information safety submodule and an infrastructure submodule corresponding to an information domain, and a strategy planning submodule and a system integration submodule corresponding to a value chain domain.
In particular, the control domain may comprise 1 control submodule, denoted a1＝a1；
The device domain may include 1 device sub-module, denoted as A2＝a2；
The production domain can comprise 7 submodules, namely a production submodule, a planning submodule, a scheduling submodule, a quality submodule, an energy submodule, an abnormality inspection submodule and a maintenance submodule which are marked as A3＝[a3 a4 a5 a6 a7 a8 a9]T；
The supply chain domain may include 4 sub-modules, namely, a purchase sub-module, a sale sub-module, an inventory sub-module, and a transportation sub-module, denoted as A4＝[a10 a11 a12 a13]T；
The product chain domain may include 2 submodules, which are respectively a product development submodule and a process design submodule, denoted as A5＝[a14 a15]T；
The business chain domain may include 3 sub-modules, which are respectively a user sub-module, a finance sub-module and a personnel sub-module, and are marked as A6＝[a16 a17 a18]T；
The service chain domain may include 1Service submodule, denoted A7＝a19；
The security domain can comprise 3 sub-modules which are respectively a health and sanitation sub-module, a field security sub-module and an environment protection sub-module, and the sub-modules are marked as A8＝[a20 a21 a22]T；
The information domain may include 2 sub-modules, namely an information security sub-module and an infrastructure sub-module, which are denoted as a9＝[a23 a24]T；
The value chain domain may include 2 sub-modules, namely a strategic planning sub-module and a system integration sub-module, denoted as a10＝[a25 a26]T；
The data of the 26 sub-modules can be collected through the sub-module data collection interface.
Further, in a specific implementation, the data acquisition interface may further include: and the intelligent characteristic phase data acquisition interface is used for acquiring data of a concept-free phase, a planning phase, a specification phase, an integration phase, an optimization phase and a leading phase corresponding to each submodule in the target refining enterprise.
It can be understood that the intelligent characteristic phase can be divided into 6 intelligent characteristic phases, namely a concept-free phase, a planning phase, a specification phase, an integration phase, an optimization phase and a lead phase, according to the intelligent function implementation and the intelligent method effect of the refinery enterprise, and is marked as BiI is 1,2, …, N, where N is 6. The data of the 6 intelligent characteristic phases can be acquired through the intelligent characteristic phase data acquisition interface.
In addition, it should be noted that, according to the intelligent construction execution effect of the refinery enterprise, the value element evaluation index corresponding to different intelligent characteristic stages of each sub-module in different business domains can be determined and recorded as CjJ is 1,2, …, k, where k is the total number of value element evaluation indexes included in different intelligent feature stages of the sub-module.
In the process of determining the weight of the value element evaluation index, each intelligent characteristic stage corresponds to k value element evaluationsIndexes, the weight of the jth value element evaluation index corresponding to the ith intelligent characteristic stage is recorded as alphai,j，
In the process of determining the weight of the sub-modules of the service domain, each service domain comprises n sub-modules, and the weight of the qth sub-module corresponding to the r-th service domain is recorded as betar,q，
In the process of determining the weight of the service domain, the weight of the r-th service domain is recorded as gammar，
In specific implementation, in the computer system provided in the embodiment of the present invention, the first calculating unit is specifically configured to calculate the intellectualization level score of each sub-module by using a first formula; the first formula is:
wherein, aqRepresenting an intelligent level score, α, of the qth sub-module in the business domaini,jWeight of j-th value element evaluation index corresponding to i-th intelligent characteristic stage in q-th submodule, CjAnd the evaluation indexes of the j-th value elements are represented, N represents the total number of intelligent characteristic stages in the q-th sub-module, and k represents the total number of the evaluation indexes of the value elements corresponding to the ith intelligent characteristic stage in the q-th sub-module.
In practical application, according to the calculated intelligence level score of each sub-module, the intelligence level of the sub-module can be determined, the intelligence level is divided into 6 levels, and the corresponding relationship between each level and the intelligence level score is shown in table one:
watch 1
| Grade | Corresponding scoring interval |
| Grade 5 | θ+5≤X<6 |
| 4 stage | θ+4≤X<θ+5 |
| Grade 3 | θ+3≤X<θ+4 |
| Stage 2 | θ+2≤X<θ+3 |
| Level 1 | θ+1≤X<θ+2 |
| Level 0 | θ≤X<θ+1 |
When each grade is evaluated, the average value of all the value elements related in the grade is larger than or equal to theta (theta is more than 0.5 and less than 1) to be considered as meeting the requirement of the grade, and higher-grade evaluation is applied, wherein the value of the lower grade reaches the standard and is 1.
In specific implementation, in the computer system provided in the embodiment of the present invention, the second calculating unit is specifically configured to calculate the intelligent level score of the business domain by using a second formula; the second formula is:
wherein A isrAn intelligent level score, a, representing the r-th business domainqRepresenting an intelligent level score, β, of the qth sub-module in the business domainr,qAnd the weight of the q sub-module corresponding to the r-th service domain is represented, and n represents the total number of the sub-modules corresponding to the r-th service domain.
In practical applications, the service domain intelligentization level can also be determined according to the table one mode according to the calculated intelligentization level score of the service domain.
In specific implementation, in the computer system provided in the embodiment of the present invention, the third calculating unit is specifically configured to calculate the overall intelligent level score of the target refining enterprise by using a third formula; the third formula is:
wherein S represents the overall intelligentized level score of the refining enterprise, ArExpressing the intelligentized level score, gamma, of the r-th business domainrThe weight of the r-th service domain is represented, and M represents the total number of the service domains.
In practical application, the intelligent level of the whole target refining enterprise can be determined according to the calculated intelligent level score of the whole target refining enterprise in the form of table one.
Based on the same inventive concept, the embodiment of the invention also provides an intelligent level monitoring method for the refining enterprise, and as the problem solving principle of the method is similar to that of the computer system, the implementation of the method can be referred to the implementation of the computer system, and repeated details are not repeated.
In specific implementation, the intelligent level monitoring method for an oil refinery enterprise provided by the embodiment of the present invention, as shown in fig. 2, specifically includes:
s201, configuring a corresponding relation between the refining enterprise and a display framework through a parameter configuration interface, wherein the display framework is a framework for displaying evaluation results;
s202, acquiring source data corresponding to a target refining enterprise through a data acquisition interface; the source data comprises all service domains of the target refining enterprise, all sub-modules corresponding to all the service domains, all intelligent characteristic stages corresponding to all the sub-modules and all value element evaluation indexes corresponding to all the intelligent characteristic stages;
s203, setting the weight of the service domain, the weight of the sub-module and the weight of the value element evaluation index through the weight setting interface;
s204, calculating the intellectualization level score of each submodule through a first calculating unit according to the value element evaluation indexes, the weight of the value element evaluation indexes, the total number of the intelligent characteristic stages and the total number of the value element evaluation indexes corresponding to each intelligent characteristic stage to obtain the evaluation result of the submodule;
s205, calculating the intelligent level score of each business domain through a second calculating unit according to the intelligent level score of the sub-modules, the weight of the sub-modules and the total number of the sub-modules corresponding to each business domain to obtain the evaluation result of the business domain;
s206, calculating the overall intelligent level score of the target refining enterprise through a third calculating unit according to the intelligent level score of the business domain, the weight of the business domain and the total number of the business domains to obtain the overall evaluation result of the target refining enterprise;
and S207, determining a display framework corresponding to the target refining enterprise according to the corresponding relation, and displaying the evaluation result of the submodule, the evaluation result of the business domain and the evaluation result of the whole target refining enterprise through an information display interface by using the display framework.
In the method for monitoring the intelligent level of the refining enterprise provided by the embodiment of the invention, the intelligent evaluation indexes of the refining enterprise from the service field dimension, the intelligent characteristic stage dimension and the value element dimension can be quantified by executing the steps S201 to S207, the intelligent scores of different levels are calculated by optimizing the weight level, and the sub-modules are integrated into a global intelligent evaluation model to give the global intelligent level evaluation result of the refining enterprise. Therefore, the level evaluation can be made on the intelligent construction of the refining enterprise, the construction scheme of the refining enterprise is analyzed, and decision support and guidance are provided for further optimizing the design and implementation of the intelligent construction top layer.
For more specific working processes of the above steps, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
Correspondingly, the embodiment of the invention also discloses an electronic device, which comprises a processor and a memory; the intelligent level monitoring method for the refining enterprise disclosed by the embodiment is realized when the processor executes the computer program stored in the memory.
For more specific processes of the above method, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
Further, the present invention also discloses a computer readable storage medium for storing a computer program; the computer program is executed by the processor to realize the intelligent level monitoring method for the refining enterprise disclosed in the foregoing.
For more specific processes of the above method, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device, the equipment and the storage medium disclosed by the embodiment correspond to the method disclosed by the embodiment, so that the description is relatively simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The embodiment of the invention provides a computer system, which comprises: the parameter configuration interface is used for configuring the corresponding relation between the refining enterprise and the display framework, and the display framework is used for displaying the evaluation result; the data acquisition interface is used for acquiring source data corresponding to the target refining enterprise; the source data comprises all service domains of the target refining enterprise, all sub-modules corresponding to all the service domains, all intelligent characteristic stages corresponding to all the sub-modules and all value element evaluation indexes corresponding to all the intelligent characteristic stages; the weight setting interface is used for setting the weight of the service domain, the weight of the submodule and the weight of the value element evaluation index; the first calculation unit is used for calculating the intellectualization level score of each submodule according to the value element evaluation indexes, the weight of the value element evaluation indexes, the total number of the intelligent characteristic stages and the total number of the value element evaluation indexes corresponding to each intelligent characteristic stage to obtain the evaluation result of the submodule; the second calculation unit is used for calculating the intelligent level score of each service domain according to the intelligent level score of the sub-modules, the weight of the sub-modules and the total number of the sub-modules corresponding to each service domain to obtain the evaluation result of the service domain; the third calculating unit is used for calculating the overall intelligent level score of the target refining enterprise according to the intelligent level score of the business domain, the weight of the business domain and the total number of the business domains to obtain the overall evaluation result of the target refining enterprise; and the information display interface is used for determining a display framework corresponding to the target refining enterprise according to the corresponding relation, and displaying the evaluation result of the submodule, the evaluation result of the business domain and the overall evaluation result of the target refining enterprise by using the display framework. Therefore, through the interaction of the parameter configuration interface, the data acquisition interface, the weight setting interface, the first calculation unit, the second calculation unit, the third calculation unit and the information display interface, the intelligent evaluation indexes of the refining enterprises in the service field dimension, the intelligent characteristic stage dimension and the value element dimension can be quantified, the intelligent scores of different levels are calculated through optimizing the weight level, all the fusion modules are combined into a global intelligent evaluation model, the global intelligent level evaluation result of the target refining enterprise is given, the intelligent construction of the target refining enterprise is evaluated horizontally, the construction scheme is analyzed, and decision support and guidance are provided for further optimizing the design and implementation of the intelligent construction top level. In addition, the invention also provides a corresponding intelligent level monitoring method, equipment and a computer readable storage medium for the computer system, so that the computer system has higher practicability.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The intelligent level monitoring method, system, equipment and medium for the refining enterprise provided by the invention are introduced in detail, a specific example is applied in the method to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A computer system, comprising:
the parameter configuration interface is used for configuring the corresponding relation between the refining enterprise and a display framework, and the display framework is used for displaying the evaluation result;
the data acquisition interface is used for acquiring source data corresponding to the target refining enterprise; the source data comprises all business domains of the target refining enterprise, all sub-modules corresponding to all the business domains, all intelligent characteristic stages corresponding to all the sub-modules and all value element evaluation indexes corresponding to all the intelligent characteristic stages;
the weight setting interface is used for setting the weight of the service domain, the weight of the sub-module and the weight of the value element evaluation index;
a first calculating unit, configured to calculate an intellectualization level score of each sub-module according to the value element evaluation index, the weight of the value element evaluation index, the total number of the intelligent feature phases, and the total number of the value element evaluation indexes corresponding to each intelligent feature phase, so as to obtain an evaluation result of the sub-module;
the second calculation unit is used for calculating the intelligent level score of each business domain according to the intelligent level score of the sub-modules, the weight of the sub-modules and the total number of the sub-modules corresponding to each business domain to obtain the evaluation result of the business domain;
the third calculation unit is used for calculating the overall intelligent level score of the target refining enterprise according to the intelligent level score of the business domain, the weight of the business domain and the total number of the business domains to obtain the overall evaluation result of the target refining enterprise;
and the information display interface is used for determining a display framework corresponding to the target refining enterprise according to the corresponding relation, and displaying the evaluation result of the sub-module, the evaluation result of the business domain and the evaluation result of the whole target refining enterprise by using the display framework.
2. The computer system of claim 1, wherein the data collection interface comprises:
and the service domain data acquisition interface is used for acquiring data of a control domain, an equipment domain, a production domain, a supply chain domain, a product chain domain, an operation chain domain, a service chain domain, a security domain, an information domain and a value chain domain of the target refining enterprise.
3. The computer system of claim 2, wherein the data collection interface further comprises:
a sub-module data acquisition interface used for acquiring a control sub-module corresponding to a control domain of a target refining enterprise, an equipment sub-module corresponding to an equipment domain, a production sub-module, a plan sub-module, a scheduling sub-module, a quality sub-module and an energy sub-module corresponding to a production domain, an anomaly routing inspection submodule and a maintenance submodule, a purchasing submodule, a selling submodule, an inventory submodule and a transportation submodule corresponding to a supply chain domain, a product research submodule and a process design submodule corresponding to a product chain domain, a user submodule, a financial submodule and a personnel submodule corresponding to an operation chain domain, a service submodule corresponding to a service chain domain, a health and sanitation submodule, a field safety submodule and an environment protection submodule corresponding to a safety domain, an information safety submodule and an infrastructure submodule corresponding to an information domain, and a strategy planning submodule and a system integration submodule corresponding to a value chain domain.
4. The computer system of claim 3, wherein the data collection interface further comprises:
and the intelligent characteristic phase data acquisition interface is used for acquiring data of a concept-free phase, a planning phase, a specification phase, an integration phase, an optimization phase and a leading phase corresponding to each submodule in the target refining enterprise.
5. The computer system according to claim 1, wherein the first calculating unit is specifically configured to calculate the intelligence level score of each sub-module using a first formula; the first formula is:
wherein, aqRepresenting an intelligent level score, α, of the qth sub-module in the business domaini,jWeight of j-th value element evaluation index corresponding to i-th intelligent characteristic stage in q-th submodule, CjAnd the evaluation indexes of the j-th value elements are represented, N represents the total number of intelligent characteristic stages in the q-th sub-module, and k represents the total number of the evaluation indexes of the value elements corresponding to the ith intelligent characteristic stage in the q-th sub-module.
6. The computer system according to claim 5, wherein the second calculating unit is specifically configured to calculate the intellectualization level score of the business domain by using a second formula; the second formula is:
wherein A isrAn intelligent level score, a, representing the r-th business domainqRepresenting an intelligent level score, β, of the qth sub-module in the business domainr,qRepresents the weight of the q sub-module corresponding to the r-th service domain, n represents the sub-module corresponding to the r-th service domainTotal number of blocks.
7. The computer system of claim 6, wherein the third computing unit is specifically configured to compute the intellectualization level score of the target refining enterprise as a whole by using a third formula; the third formula is:
wherein S represents the overall intelligentized level score of the target refining enterprise, ArExpressing the intelligentized level score, gamma, of the r-th business domainrAnd the weight of the r-th service domain is represented, and M represents the total number of the service domains.
8. An intelligent level monitoring method for an oil refinery enterprise is characterized by comprising the following steps:
configuring a corresponding relation between an refining enterprise and a display framework through a parameter configuration interface, wherein the display framework is a framework for displaying evaluation results;
acquiring source data corresponding to a target refining enterprise through a data acquisition interface; the source data comprises all business domains of the target refining enterprise, all sub-modules corresponding to all the business domains, all intelligent characteristic stages corresponding to all the sub-modules and all value element evaluation indexes corresponding to all the intelligent characteristic stages;
setting the weight of the service domain, the weight of the sub-module and the weight of the value element evaluation index through a weight setting interface;
calculating the intellectualization level score of each submodule through a first calculating unit according to the value element evaluation indexes, the weight of the value element evaluation indexes, the total number of the intelligent characteristic stages and the total number of the value element evaluation indexes corresponding to each intelligent characteristic stage to obtain the evaluation result of the submodule;
calculating the intelligent level score of each business domain through a second calculating unit according to the intelligent level score of the sub-modules, the weight of the sub-modules and the total number of the sub-modules corresponding to each business domain to obtain the evaluation result of the business domain;
calculating the overall intelligent level score of the target refining enterprise through a third calculating unit according to the intelligent level score of the business domain, the weight of the business domain and the total number of the business domains to obtain the overall evaluation result of the target refining enterprise;
and determining a display framework corresponding to the target refining enterprise according to the corresponding relation, and displaying the evaluation result of the sub-module, the evaluation result of the business domain and the evaluation result of the whole target refining enterprise by using the display framework through an information display interface.
9. An electronic device comprising a processor and a memory, wherein the processor, when executing a computer program stored in the memory, implements the refinery enterprise intelligence level monitoring method of claim 8.
10. A computer-readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the method of monitoring an intelligent level of a refining enterprise as defined in claim 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011389780.5A CN112488530B (en) | 2020-12-02 | 2020-12-02 | Intelligent level monitoring method, system, equipment and medium for refining enterprises |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011389780.5A CN112488530B (en) | 2020-12-02 | 2020-12-02 | Intelligent level monitoring method, system, equipment and medium for refining enterprises |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112488530A true CN112488530A (en) | 2021-03-12 |
| CN112488530B CN112488530B (en) | 2024-02-09 |
Family
ID=74939133
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011389780.5A Active CN112488530B (en) | 2020-12-02 | 2020-12-02 | Intelligent level monitoring method, system, equipment and medium for refining enterprises |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112488530B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115689305A (en) * | 2022-10-27 | 2023-02-03 | 江苏未来智慧信息科技有限公司 | Method and system for evaluating intelligent degree of mine construction |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102520705A (en) * | 2011-12-31 | 2012-06-27 | 中国石油天然气股份有限公司 | Refining production process optimal analysis method and system |
| CN109146218A (en) * | 2017-06-27 | 2019-01-04 | 中国石油化工股份有限公司 | A kind of refinery checking maintenance contractor comprehensive safety capability evaluation system and appraisal procedure |
| CN110119863A (en) * | 2018-02-07 | 2019-08-13 | 中国石油化工股份有限公司 | A kind of Petrochemical Enterprises safety management level assessment calculation method |
| KR20200082942A (en) * | 2018-12-31 | 2020-07-08 | 현대비에스앤씨 (주) | Knowledge-based Refinery Plant Management and Maintenance |
-
2020
- 2020-12-02 CN CN202011389780.5A patent/CN112488530B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102520705A (en) * | 2011-12-31 | 2012-06-27 | 中国石油天然气股份有限公司 | Refining production process optimal analysis method and system |
| CN109146218A (en) * | 2017-06-27 | 2019-01-04 | 中国石油化工股份有限公司 | A kind of refinery checking maintenance contractor comprehensive safety capability evaluation system and appraisal procedure |
| CN110119863A (en) * | 2018-02-07 | 2019-08-13 | 中国石油化工股份有限公司 | A kind of Petrochemical Enterprises safety management level assessment calculation method |
| KR20200082942A (en) * | 2018-12-31 | 2020-07-08 | 현대비에스앤씨 (주) | Knowledge-based Refinery Plant Management and Maintenance |
Non-Patent Citations (12)
| Title |
|---|
| 吴青;: "中国海油炼化企业信息化现状分析及今后发展的思考", 当代石油石化, no. 04 * |
| 吴青;: "中国炼化企业智能化转型升级的研究与应用", 无机盐工业, no. 06 * |
| 吴青;: "卓越数字炼化建设概念与保障措施的研究", 炼油技术与工程, no. 09 * |
| 吴青;: "新态势下的炼化企业数字化转型――从数字炼化走向智慧炼化", 化工进展, no. 06 * |
| 吴青;: "智能炼化建设塑造炼化产业新未来", 炼油技术与工程, no. 11 * |
| 吴青;: "流程工业智慧炼化建设的研究与实践", 无机盐工业, no. 12 * |
| 吴青;: "炼化企业智能化发展全局性信息化评估模型的研究与应用", 炼油技术与工程, no. 10 * |
| 唐娟;: "企业信息化建设评价标准体系的建立", 信息系统工程, no. 11 * |
| 孟凡胜;邸嘉禹;杜泽文;: "会展企业智能化升级的量表开发与检验", 科技与管理, no. 05 * |
| 王华;王岩;刘建;张佃敏;: "炼化信息化规划目标与重点方向", 石油规划设计, no. 01 * |
| 王晓冬: "采油与地面工程运行管理系统商业智能体系的建设及应用", 油气田地面工程 * |
| 龚燕;杨维军;王如强;黄明富;: "我国智能炼厂技术现状及展望", 石油科技论坛, no. 03 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115689305A (en) * | 2022-10-27 | 2023-02-03 | 江苏未来智慧信息科技有限公司 | Method and system for evaluating intelligent degree of mine construction |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112488530B (en) | 2024-02-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Angilella et al. | The financing of innovative SMEs: A multicriteria credit rating model | |
| Milovic et al. | Prediction and decision making in health care using data mining | |
| Cocca et al. | A framework to assess performance measurement systems in SMEs | |
| CN109859052B (en) | Intelligent recommendation method and device for investment strategy, storage medium and server | |
| Tsalis et al. | A social LCA framework to assess the corporate social profile of companies: Insights from a case study | |
| Franceschini et al. | Techniques for impact evaluation of performance measurement systems | |
| Tsehayae et al. | Identification and comparative analysis of key parameters influencing construction labour productivity in building and industrial projects | |
| Shukla et al. | Next generation smart sustainable auditing systems using big data analytics: understanding the interaction of critical barriers | |
| Behbahani et al. | A case-based reasoning system development for statistical process control: Case representation and retrieval | |
| Roth et al. | Advancing empirical science in operations management research: A clarion call to action | |
| Chen et al. | A neural network approach to risk assessment and contingency allocation | |
| Farid et al. | Modelling the effects of employee injury risks on injury, productivity and production quality using system dynamics | |
| Sadegh Amalnick et al. | Performance assessment of human resource by integration of HSE and ergonomics and EFQM management system: A fuzzy-based approach | |
| Smerichevska et al. | FINANCIAL AND ECONOMIC NARRATIVES FOR EVALUATION OF INNOVATIVE POTENTIAL OF ENTERPRISES. | |
| Ram Matawale et al. | Lean metric appraisement: exploration of grey numbers set theory | |
| CN112488530A (en) | Intelligent level monitoring method, system, equipment and medium for refining enterprise | |
| Hasni et al. | Hybrid model for a cross‐department efficiency evaluation in healthcare systems | |
| Ziegenbein et al. | Machine learning algorithms in machining: A guideline for efficient algorithm selection | |
| Nikolić et al. | Application of FAHP–PROMETHEE hybrid model for prioritizing SMEs failure factors | |
| Kenett et al. | Analytics as an enabler of advanced manufacturing | |
| Janíčková et al. | Key performance indicators and the Balanced Scorecard approach in small and medium-sized enterprises: A literature review | |
| Remeňová et al. | How a pricing decisions are decided and executed | |
| Bechina et al. | A system of systems approach to smart Building Management: an AI vision for Facility Management | |
| Gordashnikova et al. | Methods toolkit for estimating the university ecosystem as an innovative form for upgrading education quality | |
| Jarosz | Artificial Intelligence-an agenda for management sciences |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |