CN111275248A - Ship equipment consumption law analysis system - Google Patents
Ship equipment consumption law analysis system Download PDFInfo
- Publication number
- CN111275248A CN111275248A CN202010039922.9A CN202010039922A CN111275248A CN 111275248 A CN111275248 A CN 111275248A CN 202010039922 A CN202010039922 A CN 202010039922A CN 111275248 A CN111275248 A CN 111275248A
- Authority
- CN
- China
- Prior art keywords
- boat equipment
- equipment
- boat
- consumption
- time
- 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.)
- Pending
Links
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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a system for analyzing the consumption law of boat equipment, which completes the analysis of the consumption law of the boat equipment by inputting various consumption data of the boat equipment and solves the problems that the conventional boat equipment mainly depends on experience, lacks theoretical support and simulation verification, is easy to cause fund waste and cannot accurately grasp the consumption trend of the boat equipment. Various indexes of the boat equipment are obtained by using the analysis module, and a model of the boat equipment prediction analysis module is established by using the resume of the various indexes, so that the consumption of the boat equipment in the next year is predicted.
Description
Technical Field
The invention particularly relates to a system for analyzing the consumption rule of boat equipment.
Background
In recent years, offshore tasks are complex and changeable, and higher requirements are provided for the supply guarantee of boat equipment, so that research on the consumption law of the boat equipment must be strengthened, the reasonable configuration and the effective utilization of expenses and equipment are ensured, and more accurate guarantee is provided for boats.
The boat equipment comprises boat maintenance accessories, parts and the like, and belongs to regular consumption equipment. The boat equipment has various varieties, complex types and large consumption, is vividly called as diesel oil salt of boats, but the service life and the storage time of the boat equipment have strict requirements, and long-time and large-amount stock overstock inevitably causes the reduction of the service performance of the equipment, thereby causing military and economic loss.
At present, the guarantee department of the boat equipment still adopts the empirical ordering, but the empirical ordering has the following problems: lack of theoretical support and simulation verification, easily cause fund waste, can't hold the consumption trend of ships and light boats equipment accurately.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a system for analyzing the consumption rule of boat equipment.
The technical scheme for solving the problems comprises the following steps: a kind of ship apparatus consumes the regular analytic system, including using the analytical module used for calculating every index of ship apparatus, on the basis of every index analysis consumption regular predictive analysis module of ship apparatus;
the use analysis module comprises an input module for inputting data, a calculation module for calculating various indexes of the boat equipment by using an averaging method, a least square method and a maximum likelihood estimation algorithm, and an output module for outputting a calculation result;
the input data comprises fault information data, maintenance information data and transportation data; the output module comprises a reliability index output module, a maintenance index output module and a transportation index output module;
the prediction analysis module comprises a unit consumption prediction analysis module, a ship equipment consumption prediction analysis module and ship equipment consumption prediction analysis modules with different service times;
the unit consumption prediction analysis module is used for carrying out statistical analysis on the consumption data of all the ships and boats according to different scales of groups, teachers and military regions, and giving out consumption curves according to time units of years, seasons and months; respectively calculating consumption data of the group, the teacher and the military region in the next year according to the consumption curve;
the ship equipment consumption prediction analysis module is used for carrying out statistical analysis on the consumption data of single ship equipment according to different scales of groups, teachers and military regions, and giving a consumption curve according to time units of years, seasons and months; respectively calculating consumption data of the group, the teacher and the military region in the next year according to the consumption curve;
the total consumption prediction analysis module with different service time is used for predicting and analyzing the total consumption of ships with different service time and different service life of ships and ships needing to be consumed, carrying out statistical analysis on the data of all the ships and ships consumed by the ships according to different service time and service life of the ships and giving out a consumption curve according to time units of year, season and month; respectively calculating the consumption data of each boat in the next year according to the consumption curve;
the method comprises the following steps that a single consumption prediction analysis module with different service time needs different types and quantities of boat equipment for boats with service time different from the working life, statistical analysis is carried out on data of the single boat equipment consumed by the boats according to different service time years of the boats, and consumption curves are given according to time units of years, seasons and months; and respectively calculating the consumption data of each boat in the next year according to the consumption curve.
Further, the fault information data comprises a ship equipment code, a ship equipment name, a ship equipment model, a ship equipment affiliated unit, a ship equipment fault reason, ship equipment fault specific time, ship equipment service time, a ship working age, an input person name and a unit number.
Further, the maintenance information data includes a boat equipment code, a boat equipment name, a boat equipment model, a unit to which the boat equipment belongs, a boat equipment maintenance reason, a boat equipment maintenance place, a boat equipment maintenance start time, a boat equipment maintenance end time, boat equipment maintenance times, a boat equipment maintenance start time, a boat equipment maintenance end time, a boat equipment maintenance place, a boat working life, an input person name, and a unit number.
Further, the transportation data comprises a ship equipment code, a ship equipment name, a ship equipment model, a unit to which the ship equipment belongs, transportation time of the ship equipment from a higher level to a lower level, transportation time of the ship equipment from a lower level to a higher level, approval time of each scheduling point, and input person names and unit numbers.
Further, the reliability index output module comprises a life distribution function of ship equipment, mean fault interval time of ship equipment, failure rate and a reliability function;
the maintenance index output module comprises the average maintenance interval time of the boat equipment and the average maintenance interval time of the boat equipment;
the transportation index output module comprises the average turnover time of the ship equipment from an upper stage to a lower stage and the average turnover time of the ship equipment from the lower stage to the upper stage.
The invention has the following beneficial effects: according to the invention, the analysis of the consumption rule of the boat equipment is completed by inputting various consumption data of the boat equipment, and the problems that the conventional boat equipment mainly depends on experience for ordering goods, is lack of theoretical support and simulation verification, is easy to cause fund waste and cannot accurately grasp the consumption trend of the boat equipment are solved. Various indexes of the boat equipment are obtained by using the analysis module, and a model of the boat equipment prediction analysis module is established by using the resume of the various indexes, so that the consumption of the boat equipment in the next year is predicted.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a table of examples of fault information data inputs in the input module of the present invention;
FIG. 3 is a table of example fault repair data inputs in the input module of the present invention;
FIG. 4 is a table of examples of input of transport data into the input module of the present invention;
FIG. 5 is a table of output examples of the reliability index output module according to the present invention;
FIG. 6 is a table of output examples of the maintenance index output module according to the present invention;
FIG. 7 is a table of output examples of the transportation index output module according to the present invention;
FIG. 8 is a table of the results of the vessel equipment consumption prediction analysis module of the present invention;
FIG. 9 is a table of results from a single consumption prediction analysis module for different time of service in accordance with the present invention.
Detailed Description
The invention is further described with reference to the following drawings and detailed description.
As shown in fig. 1, a system for analyzing consumption rules of boat equipment includes a usage analysis module for calculating various indexes of the boat equipment, and a prediction analysis module for analyzing the consumption rules based on the various indexes of the boat equipment;
the use analysis module comprises an input module for inputting data, a calculation module for calculating various indexes of the boat equipment by using an averaging method, a least square method and a maximum likelihood estimation algorithm, and an output module for outputting a calculation result;
the input data comprises fault information data, maintenance information data and transportation data;
as shown in fig. 2, the fault information data includes a code of the boat equipment, a name of the boat equipment, a model of the boat equipment, a unit to which the boat equipment belongs, a fault reason of the boat equipment, specific time of the fault of the boat equipment, service time of the boat equipment, a working age of the boat, an input name of a person, and a unit number;
as shown in fig. 3, the maintenance information data includes a boat equipment code, a boat equipment name, a boat equipment model, a unit to which the boat equipment belongs, a boat equipment maintenance reason, a boat equipment maintenance location, a boat equipment maintenance start time, a boat equipment maintenance end time, boat equipment maintenance times, a boat equipment maintenance start time, a boat equipment maintenance end time, a boat equipment maintenance location, a boat working life, an input person name, and a unit number;
as shown in fig. 4, the transportation data includes a boat equipment code, a boat equipment name, a boat equipment model, a unit to which the boat equipment belongs, transportation time of the boat equipment from a higher level to a lower level, transportation time of the boat equipment from a lower level to a higher level, approval time of each scheduling point, and a person name and a unit number are input;
the output module comprises a reliability index output module, a maintenance index output module and a transportation index output module;
as shown in fig. 5, the reliability index output module includes a life distribution function of the ship body equipment, mean time between failures of the ship equipment, failure rate, and reliability function, for example, for weibull distribution, values of distribution parameters α and β are given first, then mean time between failures of the ship equipment is calculated, and a graph of the reliability, failure rate, probability density function, and life distribution function is output;
as shown in fig. 6, the maintenance index output module includes an average maintenance interval time of the boat equipment and an average maintenance interval time of the boat equipment;
as shown in fig. 7, the transportation index output module includes an average turnaround time of the boat equipment from an upper stage to a lower stage, and an average turnaround time of the boat equipment from the lower stage to the upper stage;
the prediction analysis module comprises a unit consumption prediction analysis module, a ship equipment consumption prediction analysis module and ship equipment consumption prediction analysis modules with different service times;
the unit consumption prediction analysis module is used for carrying out statistical analysis on the consumption data of all the ships and boats according to different scales of groups, teachers and military regions, and giving out consumption curves according to time units of years, seasons and months; respectively calculating consumption data of the group, the teacher and the military region in the next year according to the consumption curve;
as shown in fig. 8, the ship equipment consumption prediction analysis module statistically analyzes the consumption data of a single ship equipment according to different scales of groups, teachers and military regions, and provides a consumption curve according to time units of year, season and month; respectively calculating consumption data of the group, the teacher and the military region in the next year according to the consumption curve;
the total consumption prediction analysis module with different service time is used for predicting and analyzing the total consumption of ships with different service time and different service life of ships and ships needing to be consumed, carrying out statistical analysis on the data of all the ships and ships consumed by the ships according to different service time and service life of the ships and giving out a consumption curve according to time units of year, season and month; respectively calculating the consumption data of each boat in the next year according to the consumption curve;
as shown in fig. 9, the types and the quantities of the boat equipment required by the boats with different service times and different service lives of the boats with different service times are different, the data of the single boat equipment consumed by the boats is statistically analyzed according to the service time years of the boats, and a consumption curve is given according to the time units of year, season and month; and respectively calculating the consumption data of each boat in the next year according to the consumption curve.
Many other changes and modifications can be made without departing from the spirit and scope of the invention. It is to be understood that the invention is not to be limited to the specific embodiments, but only by the scope of the appended claims.
Claims (8)
1. A ship equipment consumption law analysis system is characterized by comprising a use analysis module for calculating various indexes of ship equipment and a prediction analysis module for analyzing a consumption law based on the various indexes of the ship equipment;
the use analysis module comprises an input module for inputting data, a calculation module for calculating various indexes of the boat equipment by using an averaging method, a least square method and a maximum likelihood estimation algorithm, and an output module for outputting a calculation result;
the input data comprises fault information data, maintenance information data and transportation data; the output module comprises a reliability index output module, a maintenance index output module and a transportation index output module;
the prediction analysis module comprises a unit consumption prediction analysis module, a ship equipment consumption prediction analysis module and ship equipment consumption prediction analysis modules with different service times;
the unit consumption prediction analysis module is used for carrying out statistical analysis on the consumption data of all the ships and boats according to different scales of groups, teachers and military regions, and giving out consumption curves according to time units of years, seasons and months; respectively calculating consumption data of the group, the teacher and the military region in the next year according to the consumption curve;
the ship equipment consumption prediction analysis module is used for carrying out statistical analysis on the consumption data of single ship equipment according to different scales of groups, teachers and military regions, and giving a consumption curve according to time units of years, seasons and months; respectively calculating consumption data of the group, the teacher and the military region in the next year according to the consumption curve;
the total consumption prediction analysis module with different service time is used for predicting and analyzing the total consumption of ships with different service time and different service life of ships and ships needing to be consumed, carrying out statistical analysis on the data of all the ships and ships consumed by the ships according to different service time and service life of the ships and giving out a consumption curve according to time units of year, season and month; respectively calculating the consumption data of each boat in the next year according to the consumption curve;
the method comprises the following steps that a single consumption prediction analysis module with different service time needs different types and quantities of boat equipment for boats with service time different from the working life, statistical analysis is carried out on data of the single boat equipment consumed by the boats according to different service time years of the boats, and consumption curves are given according to time units of years, seasons and months; and respectively calculating the consumption data of each boat in the next year according to the consumption curve.
2. The system for analyzing the consumption law of the boat equipment according to claim 1, wherein the fault information data comprises boat equipment codes, boat equipment names, boat equipment models, units to which the boat equipment belongs, boat equipment fault reasons, specific boat equipment fault time, boat equipment service time, boat working years, input person names and unit numbers.
3. The system according to claim 1 or 2, wherein the maintenance information data includes a boat equipment code, a boat equipment name, a boat equipment model, a unit to which the boat equipment belongs, a boat equipment maintenance reason, a boat equipment maintenance place, a boat equipment maintenance start time, a boat equipment maintenance end time, a boat equipment maintenance frequency, a boat equipment maintenance start time, a boat equipment maintenance end time, a boat equipment maintenance place, a boat operating year, an input person name, and a unit number.
4. The system for analyzing the consumption law of the boat equipment according to claim 1 or 2, wherein the transportation data includes boat equipment codes, boat equipment names, boat equipment models, units to which the boat equipment belongs, transportation time of the boat equipment from an upper level to a lower level, transportation time of the boat equipment from the lower level to the upper level, approval time of each scheduling point, and input of person names and unit numbers.
5. The system for analyzing the consumption law of the boat equipment according to claim 3, wherein the transportation data includes boat equipment codes, boat equipment names, boat equipment models, units to which the boat equipment belong, transportation time of the boat equipment from an upper level to a lower level, transportation time of the boat equipment from the lower level to the upper level, approval time of each scheduling point, and input of person names and unit numbers.
6. The system for analyzing the consumption law of the boat equipment according to claim 4, wherein the transportation data includes boat equipment codes, boat equipment names, boat equipment models, units to which the boat equipment belong, transportation time of the boat equipment from an upper level to a lower level, transportation time of the boat equipment from the lower level to the upper level, approval time of each scheduling point, and input of person names and unit numbers.
7. The system for analyzing the consumption law of the boat equipment according to claim 1, wherein the reliability index output module comprises a life distribution function of the boat equipment, an average fault interval time of the boat equipment, a failure rate and a reliability function;
the maintenance index output module comprises the average maintenance interval time of the boat equipment and the average maintenance interval time of the boat equipment;
the transportation index output module comprises the average turnover time of the ship equipment from an upper stage to a lower stage and the average turnover time of the ship equipment from the lower stage to the upper stage.
8. The system for analyzing the consumption law of the boat equipment according to claim 5 or 6, wherein the reliability index output module comprises a life distribution function of the boat equipment, mean time between failures of the boat equipment, failure rate and reliability function;
the maintenance index output module comprises the average maintenance interval time of the boat equipment and the average maintenance interval time of the boat equipment;
the transportation index output module comprises the average turnover time of the ship equipment from an upper stage to a lower stage and the average turnover time of the ship equipment from the lower stage to the upper stage.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010039922.9A CN111275248A (en) | 2020-01-15 | 2020-01-15 | Ship equipment consumption law analysis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010039922.9A CN111275248A (en) | 2020-01-15 | 2020-01-15 | Ship equipment consumption law analysis system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111275248A true CN111275248A (en) | 2020-06-12 |
Family
ID=70998937
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010039922.9A Pending CN111275248A (en) | 2020-01-15 | 2020-01-15 | Ship equipment consumption law analysis system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111275248A (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102103722A (en) * | 2011-03-18 | 2011-06-22 | 北京航空航天大学 | Warship reliability quantitative requirement demonstration method |
| CN105005677A (en) * | 2015-09-02 | 2015-10-28 | 中国人民解放军空军第一航空学院 | Equipment consumption rule analysis system based on consumption data |
-
2020
- 2020-01-15 CN CN202010039922.9A patent/CN111275248A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102103722A (en) * | 2011-03-18 | 2011-06-22 | 北京航空航天大学 | Warship reliability quantitative requirement demonstration method |
| CN105005677A (en) * | 2015-09-02 | 2015-10-28 | 中国人民解放军空军第一航空学院 | Equipment consumption rule analysis system based on consumption data |
Non-Patent Citations (1)
| Title |
|---|
| 张扬等: "基于消耗数据的航材RMS指标计算系统研究", 《实验室研究与探索》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Nodirovna | Improving the Mechanisms For Managing Service Processes in Service Enterprises in the Republic of Uzbekistan | |
| CN107480793B (en) | Method and system for calculating maintenance cost and scheduling maintenance of offshore wind farm | |
| CN111401804B (en) | Engineering material supply chain network planning method and system based on simulation | |
| US11989700B2 (en) | Management methods and management internet of things systems for maintenance personnel of smart gas | |
| CN108596242A (en) | Power grid meteorology load forecasting method based on wavelet neural network and support vector machines | |
| CN111695744A (en) | Maintenance equipment demand prediction analysis system based on big data | |
| Shubinsky et al. | Application of machine learning methods for predicting hazardous failures of railway track assets | |
| CN115577933A (en) | Intelligent park incubation enterprise information management system and method | |
| CN114662795A (en) | Natural gas load prediction method and system based on EMD-ARIMA-LSTM model | |
| CN111626543A (en) | Method and device for processing power related data | |
| CN110503240B (en) | Ship maintenance resource demand prediction method and device | |
| CN111275248A (en) | Ship equipment consumption law analysis system | |
| CN117277312A (en) | Gray correlation analysis-based power load influence factor method and equipment | |
| CN105719042A (en) | Method and system for machine maintenance scheduling | |
| CN116911494A (en) | Ship spare part configuration method, system, electronic equipment and storage medium | |
| CN114493027A (en) | Future talent demand prediction method and system based on Markov model | |
| CN113657658A (en) | Energy optimization method and device, electronic equipment and storage medium | |
| Liu et al. | Large-scale maintenance scheduling of wind turbines | |
| CN112348286B (en) | Traffic energy demand prediction method and device based on energy model | |
| CN117973818B (en) | Internet of things data processing method based on artificial intelligence | |
| CN116644562B (en) | New energy power station operation and maintenance cost evaluation system | |
| Pang et al. | Study on simulation modeling and evaluation of equipment maintenance | |
| Karunesan et al. | Evaluating The Effectiveness Of Indian Container Terminals: Data Envelopment Analysis | |
| Fan et al. | Influencing factors, scenario prediction and decoupling effect of carbon intensity of the whole process of agricultural products logistics | |
| Yuan et al. | Material scheduling method of automated industrial production line based on FL-net network |
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 | ||
| AD01 | Patent right deemed abandoned |
Effective date of abandoning: 20230609 |
|
| AD01 | Patent right deemed abandoned |