CN105469222A - Aquarium investment and return estimation expert system and estimation method thereof - Google Patents
Aquarium investment and return estimation expert system and estimation method thereof Download PDFInfo
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- CN105469222A CN105469222A CN201511032865.7A CN201511032865A CN105469222A CN 105469222 A CN105469222 A CN 105469222A CN 201511032865 A CN201511032865 A CN 201511032865A CN 105469222 A CN105469222 A CN 105469222A
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Abstract
The invention provides an aquarium investment and return estimation expert system for providing more scientific and reliable data for early decision making for aquarium projects. The expert system comprises a man-machine interaction interface, an analysis module, a knowledge base, a temporary storage unit and a learning module. A user only needs to select corresponding animals and quantities and information such as the investment and the profit of the project can be calculated accurately. The system and the method of the invention have the advantages that the operation is simple, practical, scientific and reliable; different schemes can be analyzed and compared; and the like.
Description
Technical field
The present invention relates to budget expert system, more particularly, relate to the investment of a kind of aquarium, return estimation expert system and evaluation method thereof.
Background technology
Aquarium be a kind of integrate travel, view and admire, scientific research, the function such as education, to view and admire with sea life, large-scale tourism venue that performance etc. is main characteristics.At present, the large ocean shop in each city has become local landmark, and visit aquarium also becomes the important tourism and leisure activity of broad masses of the people.
Meanwhile, aquarium is that a kind of area is large, many, the baroque heavy construction of investment, and the floor area in large ocean shop even may more than 200,000 square metres.And a lot of project construction unit does not often have the professional knowledge of the project budget.Therefore in the project decision stage, can only empirical data estimation be relied on for the investment of aquarium and income, or professional budget mechanism please carry out the calculating of system.
But rely on empirical data to carry out decision-making and often lack accuracy and reliability, and for taking different animals as the aquarium of leading theme, often difference is huge for its investment and income.Therefore empirical data often can not meet the foundation of project decision, even may cause serious loss to project.
If professional budget mechanism please carry out the calculating of system, the general cycle is longer, costly, and during the project decision stage, project is not also finally determined, is also not suitable for the calculating carrying out specialty, if there is change more to bother again.
Summary of the invention
In order to provide science more reliable data to the Pre-Stage Decision-Making of aquarium project, the invention provides the investment of a kind of aquarium, return estimation expert system and evaluation method thereof.
This expert system comprises: human-computer interaction interface, analysis module, knowledge base, temporary storage cell, study module;
Described human-computer interaction interface comprises inputting interface and output interface; List the animal of the various suitable aquarium cultivation summed up by professional and pick out in described inputting interface, namely according to current market conditions, animal pouplarity, raise and train the applicable animal joined in aquarium that difficulty, significance level, environmental adaptation degree and Interactive Experience degree pick out; User only needs to select corresponding animal and quantity;
Contain the details that often kind of animal cultivates under varying number in described knowledge base, comprising: animal water body amount, area occupied, front court area, back court area, life-support system equipment price, bait price, seawater salt price, animal price, personnel amount, personnel's price and total price;
The operational process of described analysis module is:
User selects animal by inputting interface, selects data to enter analysis module and temporary storage cell; Analysis module searches for the animal data in temporary storage cell in knowledge base; Derive the area occupied of various animals, sanitation system expense, animal expense, the water body amount taken, seawater salt, bait, animal insurance, and headcount, water power, depreciation amortization charge with, unexpected pay, whether comprise Performance Area and expense, decoration cost, civil engineering costs, streamline degree, auxiliary functional zone area and public domain area; Thus extrapolate the total area, the scale of investment of aquarium;
Afterwards, according to the scale always taking water body amount and can judge this aquarium, water body amount is miniature aquarium below 100 cubic metres, and objective unit price is 60 yuan; Be small ocean shop between 100 cubic metres to 800 cubic metres, objective unit price is 100 yuan; 800 cubic metres is medium-sized aquarium to 8,000 cubic metre, and objective unit price is 140 yuan; 8,000 cubic metre is standard ocean shop to 20,000 cubic metre, and objective unit price is 190 yuan; More than 20,000 cubic metre is super aquarium, and objective unit price is 240 yuan; Average year can be derived by objective unit price and the volume of the flow of passengers to take in, then operation, net profit can be derived according to income;
Described study module is for expanding module, and refreshing one's knowledge in storehouse, storehouse of can manually refreshing one's knowledge, also can arrange system is upgraded automatically by other data sources of server automatically; If system is changed automatically, need to submit change scheme to supvr, decided what to use by supvr;
The using method of this expert system
Step one: user selects one or more similar and different animals in existing animal;
Step 2: the animal that user selects is entered in system-computed formula by system;
Step 3: provide investment result according to the computing formula of different animals, computation sequence, precondition and animal details;
Step 4: provide the relevant information such as operation data, income return, objective unit price according to investment result and animal relevant information;
Step 5: above-mentioned information is presented to the visible interface of user.
The present invention have simple and practical, science reliable, be easy to carry out the advantages such as analysis contrast to different schemes, the construction unit being particularly suitable for not possessing professional budgeted capacity used in the project decision stage.
Accompanying drawing explanation
Fig. 1 is expert system structure figure.
Fig. 2 is expert system process flow diagram.
Fig. 3 is expert system analysis block flow diagram.
Embodiment
Embodiment one:
This expert system comprises: human-computer interaction interface, analysis module, knowledge base, temporary storage cell, study module;
Described human-computer interaction interface comprises inputting interface and output interface; List the animal of the various suitable aquarium cultivation summed up by professional and pick out in described inputting interface, namely according to current market conditions, animal pouplarity, raise and train the applicable animal joined in aquarium that difficulty, significance level, environmental adaptation degree and Interactive Experience degree pick out; User only needs to select corresponding animal and quantity;
Contain the details that often kind of animal cultivates under varying number in described knowledge base, comprising: animal water body amount, area occupied, front court area, back court area, life-support system equipment price, bait price, seawater salt price, animal price, personnel amount, personnel's price and total price;
The operational process of described analysis module is:
User selects animal by inputting interface, selects data to enter analysis module and temporary storage cell; Analysis module searches for the animal data in temporary storage cell in knowledge base; Derive the area occupied of various animals, sanitation system expense, animal expense, the water body amount taken, seawater salt, bait, animal insurance, and headcount, water power, depreciation amortization charge with, unexpected pay, whether comprise Performance Area and expense, decoration cost, civil engineering costs, streamline degree, auxiliary functional zone area and public domain area; Thus extrapolate the total area, the scale of investment of aquarium;
Afterwards, according to the scale always taking water body amount and can judge this aquarium, water body amount is miniature aquarium below 100 cubic metres, and objective unit price is 60 yuan; Be small ocean shop between 100 cubic metres to 800 cubic metres, objective unit price is 100 yuan; 800 cubic metres is medium-sized aquarium to 8,000 cubic metre, and objective unit price is 140 yuan; 8,000 cubic metre is standard ocean shop to 20,000 cubic metre, and objective unit price is 190 yuan; More than 20,000 cubic metre is super aquarium, and objective unit price is 240 yuan; Average year can be derived by objective unit price and the volume of the flow of passengers to take in, then operation, net profit can be derived according to income;
Described study module is for expanding module, and refreshing one's knowledge in storehouse, storehouse of can manually refreshing one's knowledge, also can arrange system is upgraded automatically by other data sources of server automatically; If system is changed automatically, need to submit change scheme to supvr, decided what to use by supvr;
This expert system inputting interface in animal display according to the sequence of 5 kinds of conditions, can be pouplarity respectively, raise and train difficulty, significance level, environmental adaptation degree and Interactive Experience degree;
User selects often kind of sequence can reset position and the icon sizes of animal icon; The size of animal and the rank of this animal in selected sequence are inversely proportional to, and namely this animal rank in selected sequence is more forward, and this animal icon size is larger; This animal in selected sequence rank more rearward, this animal icon size is less.
In described input face, when user selects animal, system can present indices and the introduction of this animal for user, does not affect user simultaneously and does other and select, choose with user friendly.
User can also input multinomial purpose scheme, then givenly compares the time limit, carries out rank, facilitate the ratio of client to select according to the gross income of each project, Zong Run.
Embodiment two:
This expert system derivation example: (for harbor seal)
Step one, selection animal: harbor seal; Animal number of elements: 7;
Step 2, system are by " animal: harbor seal; Animal number of elements: 7 " stored in temporary storage cell;
Step 3, search from knowledge base and get harbor seal information, comprising:
The land surface that harbor seal takies:
S=(1.7 × 1.5)+(1.7 × 1.4)+(1.7 × 1.3)+(1.7 × 1.2)+(1.7 × 1.1)+(1.7 × 1)+(1.7 × 1)=24.56 square metre;
Harbor seal takies water body amount: V=S × 1.2 × 1.5=44.21 cubic meter;
Harbor seal bait price: 7 × 3 × 365 (every year on average number of days) × 0.001=7.67 ten thousand yuan;
Animal price: 7 × 50,000 yuan=350,000 yuan;
Life-support system equipment price: 30+3.5 × ten thousand yuan, (7-2)=12.5;
Seawater salt price: this animal takies water body amount ÷ 30, i.e. 44.21 ÷ 30=1.47 ten thousand yuan;
The personnel amount needed: size of animal ÷ 3, i.e. 7 ÷ 3=2;
The annual price of personnel needed: personnel amount × 6 (ten thousand yuan/for each person every year), i.e. 2 × 6,=12 ten thousand yuan;
This animal total price=this animal life-support system equipment total price+this animal 1 year bait price+this animal 1 year seawater salt price+this animal total price+this animal needs staff's total price, i.e. 12.5+7.67+1.47+35+12=68.63 ten thousand yuan
Step 4, according to step 3 gained information, extrapolate the information such as cost of investment in this project.Process is as follows:
(if selected animal comprises: any animal in sea lion, walrus, dolphin, Beluga, Performance Area area is 800 to aquarium area=front court area+back court area+Performance Area area, otherwise area is 0), i.e. 81.06+54.04=135.1 square metre;
Auxiliary functional zone area (unit square rice)=area/7, aquarium, i.e. 135.1/7=19.3 square metre;
Civil engineering (unit ten thousand yuan)=auxiliary functional zone area × 0.25+ public domain area × area × 0.25,0.25+ aquarium, i.e. 19.3 × 0.25+40.53 × 0.25+135.1 × 0.25=48.73 ten thousand yuan;
Step 5, investment repayment can be extrapolated according to step 4 gained information.
The volume of the flow of passengers (year)=(aquarium area+public domain area) × 2 × 10, i.e. (135.1+40.53) × 2 × 10=3512 people;
The volume of the flow of passengers (day)=volume of the flow of passengers (year)/110, i.e. 3512/110=31 people;
Income=objective unit price × volume of the flow of passengers, i.e. 60 × 3512=21.07 ten thousand yuan;
Running cost=personal expenditures+water power+seawater salt+bait+depreciation amortization+animal insurance, i.e. 16.8+2.9+16.76+1.66+7.67+1.33=47.12 ten thousand yuan;
Profit=income-operation, i.e. 21.07-47.12=-26.05 ten thousand yuan;
Unexpected pay=operation × 5%, namely 2.356 ten thousand yuan;
Embodiment three:
Step one: select animal and number of elements from existing animal.Such as: Beluga 3, dolphin 4.
Step 2: animal is entered in formula.Process is as follows:
(1) Beluga 3,
Seawater salt is needed: 28.58 ten thousand yuan according to system-computed;
Need bait 21.90 ten thousand yuan;
Animal insures 14.82 ten thousand yuan;
1343.18 tons, water body;
Need Performance Area area 800m
2;
(2) dolphin 4,
Seawater salt 8.57 ten thousand yuan is needed according to system-computed;
Bait 14.60 ten thousand yuan;
Animal insures 12.16 ten thousand yuan;
542.78 tons, water body;
Need Performance Area 800m
2(in Beluga, comprising Performance Area).
According to the demand of two kinds of animals, by part addition independent for two kinds of animals;
Next step is carried out again after some data (such as area) form summation;
Step 3: provide gross investment result
The investment budgey of Beluga 3, dolphin 4 2,026 ten thousand yuan;
Floor area 1677 square meter;
Day passenger flow 124 people;
Visitor's unit price 140 yuan;
Wherein:
Civil engineering 419.27 ten thousand yuan;
Fit up 191.23 Wan Yuan etc.
Step 4: provide running cost 3,850,000 yuan according to investment situation, takes in 192.4 ten thousand yuan.
Step 5: by above-mentioned information display to interface.
Embodiment four: the ratio choosing of scheme
Scheme during user first inputs " embodiment two ";
Input the scheme in " embodiment three " again;
Can command system carry out sorting, comparing according to total income or rate of return on investment.
The above; be only the present invention's preferably embodiment; but protection scope of the present invention is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the present invention discloses; be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, all should be encompassed within protection scope of the present invention.
Claims (7)
1. aquarium investment and a return estimation expert system, is characterized in that this expert system comprises: human-computer interaction interface, analysis module, knowledge base, temporary storage cell;
Described human-computer interaction interface comprises inputting interface and output interface; List the animal of the various suitable aquarium cultivation summed up by professional and pick out in described inputting interface, namely according to current market conditions, animal pouplarity, raise and train the applicable animal joined in aquarium that difficulty, significance level, environmental adaptation degree and Interactive Experience degree pick out; User only needs to select corresponding animal and quantity;
Contain the details that often kind of animal cultivates under varying number in described knowledge base, comprising: animal water body amount, area occupied, front court area, back court area, life-support system equipment price, bait price, seawater salt price, animal price, personnel amount, personnel's price and total price;
The operational process of described analysis module is:
User selects animal by inputting interface, selects data to enter analysis module and temporary storage cell; Analysis module searches for the animal data in temporary storage cell in knowledge base; Derive the area occupied of various animals, sanitation system expense, animal expense, the water body amount taken, seawater salt, bait, animal insurance, and headcount, water power, depreciation amortization charge with, unexpected pay, whether comprise Performance Area and expense, decoration cost, civil engineering costs, streamline degree, auxiliary functional zone area and public domain area; Thus extrapolate the total area, the scale of investment of aquarium;
Afterwards, according to the scale always taking water body amount and judge this aquarium, water body amount is miniature aquarium below 100 cubic metres, and objective unit price is 60 yuan; Be small ocean shop between 100 cubic metres to 800 cubic metres, objective unit price is 100 yuan; 800 cubic metres is medium-sized aquarium to 8,000 cubic metre, and objective unit price is 140 yuan; 8,000 cubic metre is standard ocean shop to 20,000 cubic metre, and objective unit price is 190 yuan; More than 20,000 cubic metre is super aquarium, and objective unit price is 240 yuan; Average year can be derived by objective unit price and the volume of the flow of passengers to take in, then operation, net profit can be derived according to income.
2. aquarium according to claim 1 investment, return estimation expert system, it is characterized in that: also comprise study module, described study module is for expanding module, refreshing one's knowledge in storehouse, can manually refresh one's knowledge storehouse, the system that also can arrange is upgraded automatically by other data sources of server automatically; If system is changed automatically, need to submit change scheme to supvr, decided what to use by supvr.
3. aquarium according to claim 1 and 2 investment, return estimation expert system, is characterized in that:
Animal display in described inputting interface according to 5 kinds of condition sequences, can be pouplarity, raises and train difficulty, significance level, environmental adaptation degree and Interactive Experience degree respectively;
User selects often kind of sequence can reset position and the icon sizes of animal icon; The size of animal and the rank of this animal in selected sequence are inversely proportional to, and namely this animal rank in selected sequence is more forward, and this animal icon size is larger; This animal in selected sequence rank more rearward, this animal icon size is less.
4. aquarium according to claim 1 and 2 investment and return estimation expert system, is characterized in that:
In described input face, when user selects animal, system can present indices and the introduction of this animal for user, does not affect user simultaneously and does other and select, choose with user friendly.
5. aquarium according to claim 3 investment and return estimation expert system, is characterized in that:
In described input face, when user selects animal, system can present indices and the introduction of this animal for user, does not affect user simultaneously and does other and select, choose with user friendly.
6. aquarium according to claim 3 investment and return estimation expert system, is characterized in that:
User can input multinomial purpose scheme, then givenly compares the time limit, carries out rank, facilitate the ratio of client to select according to the gross income of each project, Zong Run.
7. the aquarium based on expert system is invested, is returned evaluation method
Step one: user selects one or more similar and different animals in existing animal;
Step 2: the animal that user selects is entered in system-computed formula by system;
Step 3: provide investment result according to the computing formula of different animals, computation sequence, precondition and animal details;
Step 4: provide the relevant information such as operation data, income return, objective unit price according to investment result and animal relevant information;
Step 5: above-mentioned information is presented to the visible interface of user.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108595399A (en) * | 2018-04-16 | 2018-09-28 | 北京航空航天大学 | The artificial intelligence generation method of digital aircraft simulation study scientific and technical research budget table |
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- 2015-12-27 CN CN201511032865.7A patent/CN105469222A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108595399A (en) * | 2018-04-16 | 2018-09-28 | 北京航空航天大学 | The artificial intelligence generation method of digital aircraft simulation study scientific and technical research budget table |
| CN108595399B (en) * | 2018-04-16 | 2021-08-10 | 北京航空航天大学 | Artificial intelligence generation method for digital aircraft simulation research budget table |
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Application publication date: 20160406 |