CN112488530B - Intelligent level monitoring method, system, equipment and medium for refining enterprises - Google Patents
Intelligent level monitoring method, system, equipment and medium for refining enterprises Download PDFInfo
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Abstract
The application discloses a method, a system, equipment and a medium for intelligent level monitoring of a refining enterprise, comprising the following steps: the parameter configuration interface is used for configuring the corresponding relation between the refining enterprise and the display framework; the data acquisition interface is used for acquiring source data; the weight setting interface is used for setting the weights of the service domain, the sub-module and the value element evaluation index; the first computing unit is used for computing the intelligent level score of each sub-module to obtain the evaluation result of the sub-module; the second calculation unit is used for calculating the intelligent level score of each service domain to obtain the evaluation result of the service domain; the third calculation unit is used for calculating the intelligent level score of the whole target refining enterprise to obtain the evaluation result of the whole target refining enterprise; and the information display interface is used for displaying the evaluation result by using the display framework. Therefore, the level evaluation can be carried out on the intelligent construction of the refining enterprise, and decision support and guidance are provided for optimizing the design and implementation of the top layer of the intelligent construction.
Description
Technical Field
The invention relates to the field of construction of refining enterprises, in particular to an intelligent level monitoring method, system, equipment and medium for the refining enterprises.
Background
The oil refining and petrochemical industry is taken as the most important manufacturing industry component in the process industry and is an important basic stone of the pillar industry and entity economy of economic and social development. The oil refining process in China has great progress in aspects of industrial layout, processing scale, development of a parkization and a base, adaptability of a device structure and processed crude oil, clean production, energy conservation, environmental protection, automation, informatization and the like, but still faces constraints and challenges in aspects of resources, energy sources, environment, safety and the like. The root is that the intelligent construction level of the refining enterprises cannot keep pace with industrialization.
The environment, informatization development status and level of each refining enterprise are quite different, the capacity status, development targets and wish, faced problems and execution strategies of intelligent construction are quite different, and how to evaluate the intelligent level of the refining enterprise by adopting a reasonable and objective evaluation method is a problem to be solved 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, all departments of the refining enterprise respectively evaluate, the whole intelligent level of the refining enterprise cannot be objectively given, meanwhile, the evaluation indexes are quite different, the evaluation indexes cannot be determined based on the unified evaluation standard, and a result with comparability can be obtained.
Disclosure of Invention
In view of the above, the invention aims to provide an intelligent level monitoring method, system, equipment and medium for a refining enterprise, which can not only perform level assessment on intelligent construction of a target refining enterprise, but also analyze a construction scheme of the target refining enterprise. 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 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 a target refining enterprise; the source data comprises each service domain of the target refining enterprise, each sub-module corresponding to each service domain, each intelligent characteristic stage corresponding to each sub-module and each value element evaluation index corresponding to each intelligent characteristic stage;
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;
the first calculation unit is used for calculating the intelligent 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 characteristic stages and the total number of the value element evaluation indexes corresponding to each intelligent characteristic stage to obtain an evaluation result of the sub-module;
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-module, the weight of the sub-module and the total number of the sub-modules corresponding to each service domain, and obtaining the evaluation result of the service domain;
the third calculation unit is used for calculating the intelligent level score of the whole target refining enterprise according to the intelligent level score of the service domain, the weight of the service domain and the total number of the service domains to obtain the evaluation result of the whole 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 service domain and the overall evaluation result of the target refining enterprise by utilizing the display framework.
Preferably, in the above computer system provided by the embodiment of the present invention, the data acquisition interface includes:
the business domain data acquisition interface is used for acquiring data of a control domain, a device 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 a target refining enterprise.
Preferably, in the above computer system provided by the embodiment of the present invention, the data acquisition interface further includes:
the submodule data acquisition interface is used for acquiring data of a control submodule corresponding to a control domain of a target refining enterprise, an equipment submodule corresponding to an equipment domain, a production submodule corresponding to a production domain, a planning submodule, a scheduling submodule, a quality submodule, an energy submodule, an abnormal inspection submodule and a maintenance submodule, a purchasing submodule, a sales submodule, an inventory submodule and a transportation submodule corresponding to a supply chain domain, a product research and development submodule and a process flow 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, a strategy planning submodule corresponding to a value chain domain and a system integration submodule.
Preferably, in the above computer system provided by the embodiment of the present invention, the data acquisition interface further includes:
the intelligent characteristic stage data acquisition interface is used for acquiring data of a concept-free stage, a planning stage, a standard stage, an integration stage, an optimization stage and a leading stage corresponding to each sub-module in the target refining enterprise.
Preferably, in the above computer system provided by the embodiment of the present invention, the first calculating unit is specifically configured to calculate the intelligent level score of each sub-module by using a first formula; the first formula is:
wherein a is q Intelligent level score, alpha, representing the qth sub-module in the business domain i,j The weight of the j-th value element evaluation index corresponding to the i-th intelligent feature stage in the q-th sub-module is represented, C j The j-th value element evaluation index is represented, N represents the total number of intelligent feature stages in the q-th sub-module, and k represents the total number of value element evaluation indexes corresponding to the i-th intelligent feature stage in the q-th sub-module.
Preferably, in the above computer system provided by the embodiment of the present invention, the second calculating unit is specifically configured to calculate an intelligent level score of the service domain by using a second formula; the second formula is:
wherein A is r Intelligent level score representing the r-th business domain, a q Intelligent level score, beta, representing the qth sub-module in the business domain r,q The weight of the q sub-module corresponding to the r service domain is represented, and n represents the sub-module corresponding to the r service domainTotal number of blocks.
Preferably, in the above computer system provided by the embodiment of the present invention, the third calculating unit is specifically configured to calculate an intelligent level score of the whole target refining enterprise by using a third formula; the third formula is:
wherein S represents the intelligent level score of the whole target refining enterprise, A r Intelligent level score, gamma, representing the r-th business domain r The weight of the r-th service domain is represented, and M represents the total number of the service domains.
The embodiment of the invention also provides an intelligent level monitoring method for the refining enterprises, which comprises the following steps:
configuring a corresponding relation between a refining enterprise and a display framework through a parameter configuration interface, wherein the display framework is a framework for displaying an evaluation result;
acquiring source data corresponding to a target refining enterprise through a data acquisition interface; the source data comprises each service domain of the target refining enterprise, each sub-module corresponding to each service domain, each intelligent characteristic stage corresponding to each sub-module and each value element evaluation index corresponding to each intelligent characteristic stage;
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 intelligent level score of each sub-module through a first calculation unit according to the value element evaluation index, the weight of the value element evaluation index, the total number of the intelligent characteristic stages and the total number of the value element evaluation indexes corresponding to each intelligent characteristic stage, and obtaining an evaluation result of the sub-module;
according to the intelligent level score of the sub-module, the weight of the sub-module and the total number of the sub-modules corresponding to each service domain, calculating the intelligent level score of each service domain through a second calculation unit to obtain an evaluation result of the service domain;
according to the intelligent level score of the service domain, the weight of the service domain and the total number of the service domains, calculating the intelligent level score of the whole target refining enterprise through a third calculation unit to obtain an evaluation result of the whole 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 service domain and the overall evaluation result of the target refining enterprise through an information display interface by utilizing the display framework.
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 enterprises, 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 realizes the intelligent level monitoring method for the refining enterprises provided by the embodiment of the invention when being executed by a processor.
As can be seen from the above technical solution, the 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, wherein the display framework is used for displaying the evaluation result; the data acquisition interface is used for acquiring source data corresponding to a target refining enterprise; the source data comprises each service domain of the target refining enterprise, each sub-module corresponding to each service domain, each intelligent characteristic stage corresponding to each sub-module and each value element evaluation index corresponding to each intelligent characteristic stage; 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; the first calculation unit is used for calculating the intelligent 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 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 sub-module; 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-module, the weight of the sub-module and the total number of the sub-modules corresponding to each service domain to obtain an evaluation result of the service domain; the third calculation unit is used for calculating the intelligent level score of the whole target refining enterprise according to the intelligent level score of the service domain, the weight of the service domain and the total number of the service domains to obtain an evaluation result of the whole target refining enterprise; the information display interface is used for determining a display framework corresponding to the target refining enterprise according to the corresponding relation, and displaying an evaluation result of the sub-module, an evaluation result of the service domain and an evaluation result of the whole target refining enterprise by utilizing 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 enterprises can be quantitatively evaluated from the service field dimension, the intelligent feature stage dimension and the value element dimension of the refining enterprises, the intelligent scores of different levels are calculated through optimizing the weight level, and all sub-modules are fused into a global intelligent evaluation model to give the global intelligent level evaluation result of the target refining enterprises. According to the method, the intelligent construction of the target refining enterprise can be horizontally evaluated, the construction scheme of the target refining enterprise can be analyzed, and decision support and guidance are provided for further optimizing the design and implementation of the top layer of the intelligent construction. 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 more practicability, and the intelligent level monitoring method, equipment and computer readable storage medium have corresponding advantages.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described, and it is apparent that the drawings in the following description are only embodiments of the present invention, and other drawings may be obtained according to the provided drawings without inventive effort for those skilled in the art.
FIG. 1 is a schematic 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 a refining enterprise according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the 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 relation between the refining enterprise and the display architecture, wherein the display architecture is used for displaying the evaluation result;
the data acquisition interface 12 is used for acquiring source data corresponding to a target refining enterprise; the source data comprises each service domain of the target refining enterprise, each sub-module corresponding to each service domain, each intelligent characteristic stage corresponding to each sub-module and each value element evaluation index corresponding to each intelligent characteristic stage;
a weight setting interface 13, configured to set a weight of a service domain, a weight of a submodule, and a weight of a value element evaluation index;
a first calculating unit 14, configured to calculate an intelligent 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 intelligent feature phases, and the total number of value element evaluation indexes corresponding to each intelligent feature phase, so as to obtain an evaluation result of the sub-module;
the second calculating unit 15 is configured to calculate an intelligent level score of each service domain according to the intelligent level score of the sub-module, the weight of the sub-module, and the total number of sub-modules corresponding to each service domain, so as to obtain an evaluation result of the service domain;
a third calculation unit 16, configured to calculate an intelligent level score of the whole target refining enterprise according to the intelligent level score of the service domain, the weight of the service domain, and the total number of the service domains, so as to obtain an evaluation result of the whole target refining enterprise;
the information display interface 17 is configured to determine a display architecture corresponding to the target refining enterprise according to the correspondence, and display an evaluation result of the sub-module, an evaluation result of the service domain, and an evaluation result of the whole target refining enterprise by using the display architecture.
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 enterprises can be quantized from the service field dimension, the intelligent feature stage dimension and the value element dimension of the refining enterprises, the intelligent scores of different levels are calculated through optimizing the weight level, and all the submodules are fused into a global intelligent evaluation model to give the global intelligent level evaluation result of the target refining enterprises. According to the method, the intelligent construction of the target refining enterprise can be horizontally evaluated, the construction scheme of the target refining enterprise can be analyzed, and decision support and guidance are provided for further optimizing the design and implementation of the top layer of the intelligent construction. Therefore, scientific and reasonable intelligent level analysis and evaluation of the refining enterprises can be carried out by combining the business characteristics and the production process requirements of the target refining enterprises, and a powerful basis can be provided for intelligent construction top-level design of the refining enterprises.
In a specific implementation, in the above computer system provided by the embodiment of the present invention, the data collection interface may include: the business domain data acquisition interface is used for acquiring data of a control domain, a device 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 a target refining enterprise.
It should be noted that, according to the business topic 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, an operation chain domain, a service chain domain, a security domain, an information domain and a value chain domain, which is denoted as a m M=1, 2, …, M, where m=10; the data of the 10 service domains can be collected through the service domain data collection interface.
Further, in the implementation, the data acquisition interface may further include: the submodule data acquisition interface is used for acquiring data of a control submodule corresponding to a control domain of a target refining enterprise, an equipment submodule corresponding to an equipment domain, a production submodule corresponding to a production domain, a planning submodule, a scheduling submodule, a quality submodule, an energy submodule, an abnormal inspection submodule and a maintenance submodule, a purchasing submodule, a sales submodule, an inventory submodule and a transportation submodule corresponding to a supply chain domain, a product research and development submodule and a process flow 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, a strategy planning submodule corresponding to a value chain domain and a system integration submodule.
In particular, the control domain may include 1 control submodule, denoted A 1 ＝a 1 ；
The device domain may include 1 device submodule, denoted a 2 ＝a 2 ；
The production domain may include 7 sub-modules, respectively a production sub-module, a planning sub-module, a scheduling sub-module, a quality sub-module, an energy sub-module, an anomaly inspection sub-module, a maintenance sub-module, denoted as A 3 ＝[a 3 a 4 a 5 a 6 a 7 a 8 a 9 ] T ；
The supply chain domain may include 4 sub-modules, each of which is a purchaseSub-modules, sales sub-modules, inventory sub-modules, transport sub-modules, denoted as A 4 ＝[a 10 a 11 a 12 a 13 ] T ；
The product chain domain can comprise 2 sub-modules, namely a product research and development sub-module and a process flow design sub-module respectively, which are marked as A 5 ＝[a 14 a 15 ] T ；
The business chain domain can comprise 3 sub-modules, namely a user sub-module, a financial sub-module and a personnel sub-module, which are marked as A 6 ＝[a 16 a 17 a 18 ] T ；
The service chain domain may include 1 service submodule, denoted as A 7 ＝a 19 ；
The security domain may include 3 sub-modules, respectively a health sub-module, a site security sub-module, an environmental protection sub-module, denoted as A 8 ＝[a 20 a 21 a 22 ] T ；
The information domain may include 2 sub-modules, respectively an information security sub-module, an infrastructure sub-module, denoted a 9 ＝[a 23 a 24 ] T ；
The value chain domain may include 2 sub-modules, respectively a strategic planning sub-module, a system integration sub-module, denoted as A 10 ＝[a 25 a 26 ] T ；
Here, the data of the 26 sub-modules can be collected through the sub-module data collection interface.
Further, in the implementation, the data acquisition interface may further include: the intelligent characteristic stage data acquisition interface is used for acquiring data of a concept-free stage, a planning stage, a standard stage, an integration stage, an optimization stage and a leading stage corresponding to each sub-module in the target refining enterprise.
It can be appreciated that, according to the intelligent function implementation and intelligent method effect of the refining enterprise, the intelligent feature stage can be divided into 6 intelligent feature stages of no concept stage, planning stage, specification stage, integration stage, optimization stage and introduction stageSegment, denoted B i I=1, 2, …, N, where n=6. The data of the 6 intelligent characteristic stages can be collected through the intelligent characteristic stage data collection interface.
In addition, it should be noted that, according to the intelligent construction execution effect of the refining enterprise, the value element evaluation index corresponding to different intelligent feature stages of each sub-module in different service domains can be determined and marked as C j J=1, 2, …, k, where k is the total number of value element evaluation indicators included in different intelligent feature phases 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 evaluation indexes, and the weight of the j value element evaluation index corresponding to the i intelligent characteristic stage is marked as alpha i,j ，
In the process of determining the weights of the sub-modules of the service domains, each service domain comprises n sub-modules, and the weight of the q sub-module corresponding to the r service domain is recorded as beta r,q ，
In determining the weight of the service domain, the weight of the r service domain is marked as gamma r ，
In a specific implementation, in the above computer system provided by the embodiment of the present invention, a first calculating unit is specifically configured to calculate an intelligent level score of each sub-module by using a first formula; the first formula is:
wherein a is q Intelligent level score, alpha, representing the qth sub-module in the business domain i,j The weight of the j-th value element evaluation index corresponding to the i-th intelligent feature stage in the q-th sub-module is represented, C j The j-th value element evaluation index is represented, N represents the total number of intelligent feature stages in the q-th sub-module, and k represents the total number of value element evaluation indexes corresponding to the i-th intelligent feature stage in the q-th sub-module.
In practical application, according to the calculated intelligent level score of each sub-module, the intelligent level of the sub-module can be determined, the intelligent level is divided into 6 levels, and the corresponding relation between each level and the intelligent level score is shown in the following table:
list one
| Grade | Corresponding scoring interval |
| Grade 5 | θ+5≤X<6 |
| Grade 4 | θ+4≤X<θ+5 |
| 3 grade | θ+3≤X<θ+4 |
| Level 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 in the grade is more than or equal to theta, (0.5 < theta < 1) is divided, the grade can be considered to meet the requirement of the grade, and the higher grade evaluation is applied, and the value of the lower grade reaches 1 after reaching the standard.
In a specific implementation, in the above computer system provided by the embodiment of the present invention, the second calculating unit is specifically configured to calculate an intelligent level score of the service domain by using a second formula; the second formula is:
wherein A is r Intelligent level score representing the r-th business domain, a q Intelligent level score, beta, representing the qth sub-module in the business domain r,q The weight of the q sub-module corresponding to the r service domain is represented, and n represents the total number of sub-modules corresponding to the r service domain.
In practical application, the intelligent level of the service domain can be determined according to the calculated intelligent level score of the service domain in a first table manner.
In a specific implementation, in the computer system provided by the embodiment of the present invention, a third calculation unit is specifically configured to calculate an intelligent level score of the whole target refining enterprise by using a third formula; the third formula is:
wherein S represents the whole intelligent level score of the refining enterprise, A r Intelligent level score, gamma, representing the r-th business domain r The weight of the r-th service domain is represented, and M represents the total number of the service domains.
In practical application, according to the calculated intelligent level score of the whole target refining enterprise, the intelligent level of the whole target refining enterprise can be determined in a table-one mode.
Based on the same inventive concept, the embodiment of the invention also provides an intelligent level monitoring method for a refining enterprise, and because the principle of solving the problem of the method is similar to that of the computer system, the implementation of the method can refer to the implementation of the computer system, and the repetition is omitted.
In specific implementation, the method for monitoring the intelligent level of the refining enterprise provided by the embodiment of the invention, as shown in fig. 2, specifically includes:
s201, configuring a corresponding relation between a refining enterprise and a display framework through a parameter configuration interface, wherein the display framework is used for displaying an evaluation result;
s202, acquiring source data corresponding to a target refining enterprise through a data acquisition interface; the source data comprises each service domain of the target refining enterprise, each sub-module corresponding to each service domain, each intelligent characteristic stage corresponding to each sub-module and each value element evaluation index corresponding to each intelligent characteristic stage;
s203, 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;
s204, calculating the intelligent level score of each sub-module through a first calculation unit according to the value element evaluation index, the weight of the value element evaluation index, the total number of intelligent characteristic stages and the total number of the value element evaluation indexes corresponding to each intelligent characteristic stage, and obtaining the evaluation result of the sub-module;
s205, calculating the intelligent level score of each service domain through a second calculation unit according to the intelligent level score of the sub-module, the weight of the sub-module and the total number of the sub-modules corresponding to each service domain, and obtaining an evaluation result of the service domain;
s206, calculating the intelligent level score of the whole target refining enterprise through a third calculation unit according to the intelligent level score of the service domain, the weight of the service domain and the total number of the service domains, and obtaining the evaluation result of the whole target refining enterprise;
s207, determining a display framework corresponding to the target refining enterprise according to the corresponding relation, and displaying an evaluation result of the sub-module, an evaluation result of the service domain and an evaluation result of the whole target refining enterprise through an information display interface by utilizing the display framework.
In the intelligent level monitoring method for the refining enterprise provided by the embodiment of the invention, the intelligent evaluation indexes of the refining enterprise can be quantitatively evaluated from the service field dimension, the intelligent feature stage dimension and the value element dimension of the refining enterprise by executing the steps S201 to S207, the intelligent scores of different levels are calculated by optimizing the weight grades, and all sub-modules are fused into a global intelligent evaluation model to give a global intelligent level evaluation result of the refining enterprise. Therefore, the intelligent construction of the refining enterprise can be horizontally evaluated, 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 top layer of the intelligent construction.
For more specific working procedures of the above steps, reference may be made to the corresponding contents disclosed in the foregoing embodiments, and no further description is given here.
Correspondingly, the embodiment of the invention also discloses electronic equipment, which comprises a processor and a memory; the intelligent level monitoring method for the refining enterprise disclosed in the foregoing embodiment is implemented when the processor executes the computer program stored in the memory.
For more specific procedures of the above method, reference may be made to the corresponding contents disclosed in the foregoing embodiments, and no further description is given here.
Further, the invention also discloses a computer readable storage medium for storing a computer program; the computer program, when executed by the processor, implements the disclosed intelligent level monitoring method for the refining enterprises.
For more specific procedures of the above method, reference may be made to the corresponding contents disclosed in the foregoing embodiments, and no further description is given here.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. The apparatus, device, and storage medium disclosed in the embodiments are relatively simple to describe, and the relevant parts refer to the description of the method section because they correspond to the methods disclosed in the embodiments.
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 elements and steps are described above generally in terms of functionality in order to clearly illustrate the 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 solution. 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. The software modules may be disposed 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, wherein the display framework is used for displaying the evaluation result; the data acquisition interface is used for acquiring source data corresponding to a target refining enterprise; the source data comprises each service domain of the target refining enterprise, each sub-module corresponding to each service domain, each intelligent characteristic stage corresponding to each sub-module and each value element evaluation index corresponding to each intelligent characteristic stage; 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; the first calculation unit is used for calculating the intelligent 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 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 sub-module; 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-module, the weight of the sub-module and the total number of the sub-modules corresponding to each service domain to obtain an evaluation result of the service domain; the third calculation unit is used for calculating the intelligent level score of the whole target refining enterprise according to the intelligent level score of the service domain, the weight of the service domain and the total number of the service domains to obtain an evaluation result of the whole target refining enterprise; the information display interface is used for determining a display framework corresponding to the target refining enterprise according to the corresponding relation, and displaying an evaluation result of the sub-module, an evaluation result of the service domain and an evaluation result of the whole target refining enterprise by utilizing the display framework. 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 can be quantitatively evaluated from the service field dimension, the intelligent feature stage dimension and the value element dimension of the refining enterprises, the intelligent scores of different levels are calculated through optimizing weight grades, all sub-modules are fused into a global intelligent evaluation model, the global intelligent level evaluation result of the target refining enterprises is given, the level evaluation is carried out on the intelligent construction of the target refining enterprises, the construction scheme is 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 more practicability, and the intelligent level monitoring method, equipment and computer readable storage medium have corresponding advantages.
Finally, it is further noted that relational terms such as first and second, and the like are 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. Moreover, 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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The method, the system, the equipment and the medium for intelligent level monitoring of the refining enterprises provided by the invention are described in detail, and specific examples are applied to the explanation of the principle and the implementation mode of the invention, and the explanation of the examples is only used for helping to understand the method and the core idea of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (7)
1. A computer system for intelligent level monitoring for a refining enterprise, comprising:
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 a target refining enterprise; the source data comprises each service domain of the target refining enterprise, each sub-module corresponding to each service domain, each intelligent characteristic stage corresponding to each sub-module and each value element evaluation index corresponding to each intelligent characteristic stage; the data acquisition interface comprises: the business domain data acquisition interface is used for acquiring data of a control domain, a device 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 a target refining enterprise; the submodule data acquisition interface is used for acquiring data of a control submodule corresponding to a control domain of a target refining enterprise, an equipment submodule corresponding to an equipment domain, a production submodule corresponding to a production domain, a planning submodule, a scheduling submodule, a quality submodule, an energy submodule, an abnormal inspection submodule and a maintenance submodule, a purchasing submodule, a sales submodule, an inventory submodule and a transportation submodule corresponding to a supply chain domain, a product research and development submodule and a process flow 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, a strategy planning submodule corresponding to a value chain domain and a system integration submodule; the intelligent characteristic stage data acquisition interface is used for acquiring data of a concept-free stage, a planning stage, a specification stage, an integration stage, an optimization stage and a leading stage corresponding to each sub-module in the target refining enterprise;
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;
the first calculation unit is used for calculating the intelligent 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 characteristic stages and the total number of the value element evaluation indexes corresponding to each intelligent characteristic stage to obtain an evaluation result of the sub-module;
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-module, the weight of the sub-module and the total number of the sub-modules corresponding to each service domain, and obtaining the evaluation result of the service domain;
the third calculation unit is used for calculating the intelligent level score of the whole target refining enterprise according to the intelligent level score of the service domain, the weight of the service domain and the total number of the service domains to obtain the evaluation result of the whole 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 service domain and the overall evaluation result of the target refining enterprise by utilizing the display framework.
2. The computer system according to claim 1, wherein the first calculation unit is configured to calculate an intelligent level score for each of the sub-modules using a first formula; the first formula is:
wherein a is q Intelligent level score, alpha, representing the qth sub-module in the business domain i,j The weight of the j-th value element evaluation index corresponding to the i-th intelligent feature stage in the q-th sub-module is represented, C j The j-th value element evaluation index is represented, N represents the total number of intelligent feature stages in the q-th sub-module, and k represents the total number of value element evaluation indexes corresponding to the i-th intelligent feature stage in the q-th sub-module.
3. The computer system according to claim 2, wherein the second calculation unit is configured to calculate an intelligent level score of the service domain using a second formula; the second formula is:
wherein A is r Intelligent level score representing the r-th business domain, a q Intelligent level score, beta, representing the qth sub-module in the business domain r,q Representing the r-th service domain correspondenceAnd n represents the total number of sub-modules corresponding to the r service domain.
4. The computer system of claim 3, wherein the third computing unit is specifically configured to calculate an intelligent level score of the target refining enterprise as a whole using a third formula; the third formula is:
wherein S represents the intelligent level score of the whole target refining enterprise, A r Intelligent level score, gamma, representing the r-th business domain r The weight of the r-th service domain is represented, and M represents the total number of the service domains.
5. An intelligent level monitoring method for a refining enterprise is characterized by comprising the following steps:
configuring a corresponding relation between a refining enterprise and a display framework through a parameter configuration interface, wherein the display framework is a framework for displaying an evaluation result;
acquiring source data corresponding to a target refining enterprise through a data acquisition interface; the source data comprises each service domain of the target refining enterprise, each sub-module corresponding to each service domain, each intelligent characteristic stage corresponding to each sub-module and each value element evaluation index corresponding to each intelligent characteristic stage; the data acquisition interface comprises a business domain data acquisition interface, a submodule data acquisition interface and an intelligent characteristic stage data acquisition interface; collecting data of a control domain, a device 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 a target refining enterprise through the service domain data collecting interface; the method comprises the steps of collecting data of a control submodule corresponding to a control domain of a target refining enterprise, a device submodule corresponding to a device domain, a production submodule corresponding to a production domain, a planning submodule, a scheduling submodule, a quality submodule, an energy submodule, an abnormal inspection submodule and a maintenance submodule, a purchasing submodule, a sales submodule, an inventory submodule and a transportation submodule corresponding to a supply chain domain, a product research and development submodule and a process flow 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 corresponding to a safety domain, a field safety submodule and an environment protection submodule, 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 through a submodule data collecting interface; collecting data of a concept-free stage, a planning stage, a standard stage, an integration stage, an optimization stage and a leading stage corresponding to each sub-module in a target refining enterprise through the intelligent characteristic stage data collection interface;
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 intelligent level score of each sub-module through a first calculation unit according to the value element evaluation index, the weight of the value element evaluation index, the total number of the intelligent characteristic stages and the total number of the value element evaluation indexes corresponding to each intelligent characteristic stage, and obtaining an evaluation result of the sub-module;
according to the intelligent level score of the sub-module, the weight of the sub-module and the total number of the sub-modules corresponding to each service domain, calculating the intelligent level score of each service domain through a second calculation unit to obtain an evaluation result of the service domain;
according to the intelligent level score of the service domain, the weight of the service domain and the total number of the service domains, calculating the intelligent level score of the whole target refining enterprise through a third calculation unit to obtain an evaluation result of the whole 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 service domain and the overall evaluation result of the target refining enterprise through an information display interface by utilizing the display framework.
6. An electronic device comprising a processor and a memory, wherein the processor implements the intelligent level monitoring method of a refining enterprise of claim 5 when executing a computer program stored in the memory.
7. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the intelligent level monitoring method of a refining enterprise of claim 5.
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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 | Optimization analysis method and system for refining production process |
| 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 | Optimization analysis method and system for refining production process |
| 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 (13)
| Title |
|---|
| 中国海油炼化企业信息化现状分析及今后发展的思考;吴青;;当代石油石化(第04期);全文 * |
| 中国炼化企业智能化转型升级的研究与应用;吴青;;无机盐工业(第06期);全文 * |
| 企业信息化建设评价标准体系的建立;唐娟;;信息系统工程(第11期);全文 * |
| 会展企业智能化升级的量表开发与检验;孟凡胜;邸嘉禹;杜泽文;;科技与管理(第05期);全文 * |
| 卓越数字炼化建设概念与保障措施的研究;吴青;;炼油技术与工程(第09期);全文 * |
| 我国智能炼厂技术现状及展望;龚燕;杨维军;王如强;黄明富;;石油科技论坛(第03期);全文 * |
| 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;吴青;;化工进展(第06期);全文 * |
| 智能炼化建设塑造炼化产业新未来;吴青;;炼油技术与工程(第11期);全文 * |
| 流程工业智慧炼化建设的研究与实践;吴青;;无机盐工业(第12期);全文 * |
| 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;吴青;;炼油技术与工程(第10期);全文 * |
| 炼化信息化规划目标与重点方向;王华 等;石油规划设计;全文 * |
| 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.2017,(第01期),全文. * |
| 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;王晓冬;油气田地面工程;全文 * |
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