CN109086942A - The raw material of a kind of pair of production and the analyzing and predicting method of economic relation between supply and demand - Google Patents
The raw material of a kind of pair of production and the analyzing and predicting method of economic relation between supply and demand Download PDFInfo
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- CN109086942A CN109086942A CN201810965199.XA CN201810965199A CN109086942A CN 109086942 A CN109086942 A CN 109086942A CN 201810965199 A CN201810965199 A CN 201810965199A CN 109086942 A CN109086942 A CN 109086942A
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- 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"
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- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
Abstract
It is disclosed by the invention to belong to economic analysis technical field, it is specially a kind of to the raw material of production and the analyzing and predicting method of economic relation between supply and demand, the analyzing and predicting method of the raw material to production and economic relation between supply and demand includes the following steps: S1: establishing dynamic basic model；S2: demand, production capacity and yield are calculated；S3: the judgement of supply-demand relationship, upward price trend, fluctuating range and inflection point；S4: the influence judgement of price, cost to supply (production capacity)；S5: inventory, go inventory, again inventory influence judgement；S6: the difference judgement of price rebound and upward price trend；S7: the judgement of commodity price period of waves, it establishes a set of with practicability, advanced analysis mode, pass through the analysis of a large amount of data and science, it helps user to determine more perspective behavior, can be used for the spot exchange of commodity, futures exchange, supply the guidance of expansion amplitude, pricing policy and investment behavior in production and operation.
Description
Technical field
The present invention relates to economic analysis technical field, point of specially a kind of raw material to production and economic relation between supply and demand
Analyse prediction technique.
Background technique
Supply-demand relationship is the relationship between all over products that society provides in the regular period, labor service and society need.It is this
Relationship includes the adaptability of matter and the balance of amount.The social process of reproduction, that is, each component part of aggregate social product exist
How to be compensated in value, the problem of how to be replaced on material object.In the process of reproduction, both supply is produced mutually between each department
Product or labor service, and mutually propose demand, constitute supply-demand relationship that is conditional, conditioning each other.Since there is big industry just to open
Begin to occur the fluctuation because of economic fluctuation and commodity price caused by overproduction, it is this because imbalance between supply and demand reflects social resources
Mispairing, finally also result in the waste of a large amount of social resources and fund.For this purpose, it is proposed that a kind of raw material to production and
The analyzing and predicting method of economic relation between supply and demand.
Summary of the invention
The purpose of the present invention is to provide a kind of raw material to production and the analyzing and predicting method of economic relation between supply and demand, with
Solve the problems mentioned above in the background art.
To achieve the above object, the invention provides the following technical scheme: a kind of close the raw material of production and economic supply and demand
The analyzing and predicting method of the analyzing and predicting method of system, the raw material to production and economic relation between supply and demand includes the following steps:
S1: it establishes dynamic basic model: the target studied based on production raw material is chosen, demand, supply, valence
Five lattice, cost, inventory variables are placed on one and are mutually related in dynamic model, and carry out quantitative statistics and calculating, are used for
Accurate price inflection point, trend and the fluctuating range or economic trend, economic fluctuation amplitude for analyzing and determining end article；
S2: demand, production capacity and yield are calculated: chooses the market demand data A of target product the first three years or more1,A2,
A3..., average growth rate X is then found out, the need of following a period of time are found out when demand growth factor persistently exists
The amount of asking, real production capacity are B, and the following production capacity=B+ increases production capacity B1,B2,B3..., real yield is C, and future production=C+ increases
The production capacity C added1* the practical utilization of capacity+C2* the practical utilization of capacity ...；
S3: the judgement of supply-demand relationship, upward price trend, fluctuating range and inflection point: market supply and demand difference D=A-C, if difference is
Positive number then determines rise in price or high-order strong, drop or low level Horizontal Price Movement is then determined if negative, the price when D occurs by rotating forward negative
Close or appearance reversion downwards, when D turns negative number to positive number, close prices or appearance invert upwards, the following supply and demand difference D'=A'-C',
Difference is canonical future price continuous rise or strong, and the then future price that is negative continues to decline or continues low level, and the market supply and demand is poor
Value rate E=D/A*100%, difference rate is bigger to illustrate that markup is higher, and the market source of goods is more nervous, commodity price fluctuating range F
=E* commodity price coefficient of elasticity；
S4: the influence judgement of price, cost to supply (production capacity): commodity price Y, according to commodity by supply-demand relationship, competing
Striving property and substitutability carry out the judgement of commodity price Y, and according to technique, raw material and management cost carry out merchandise cost Z judgement, when
When Y > Z, enterprise getting profit, supply and demand difference is bigger, and enterprise getting profit is higher, and the enthusiasm that enterprise expands production is higher, as Y≤Z, enterprise
No profits came in or lossing state, limits the production, and stops production, and production capacity phenomenon is gone to occur；
S5: inventory, the influence judgement for going inventory, inventory again: inventory has reinforcing trend, increases disparities between supply and demand, increases price
The effect of fluctuating range causes production capacity excessively to go production capacity in the later period for going production capacity to go inventory, becomes to form next round supply and demand
Insufficient pushing hands, expand production can inventory again later period, cause production capacity overdistension, become to form that next round supply and demand are superfluous to be pushed away
Hand；
S6: price rebound and upward price trend difference judgement: price rebound appear in slump after factory because price be lower than at
It limits the production or stops work when this valence, then short-term rise in price in short supply, rise in price to a certain extent, is completed to go to produce because no
Can, production capacity discharges again after enterprise getting profit level improves reappears that supply exceed demand, and product price reappears decline, and price is held
Continuous rise appears in production capacity and goes after the completion of inventory, and price, which continues to fall or slumps to appear in, completes production capacity expansion and again inventory
Afterwards；
S7: the judgement of commodity price period of waves: according to the demand growth speed of commodity, intensive capital degree, technical difficulty,
It participates in the strength of enterprise, the period of expanding production, production capacity gone to go to judge commodity price period of waves inventory cycle.
Preferably, the influence Fundamentals of dynamic basic model include: intrinsic physics by commodity in the step S1
The demand for the commodity that chemical property, application range, application value and cost performance determine, by capable of bringing for production and sales end article
Profit and profit margin, intensive capital degree, technology-intensive degree, administration determine commodity supply, by the value of commodity
With supply-demand relationship determine commodity price, by the raw material of production and sales commodity, technology, fund cost, management cost,
The merchandise cost that selling cost is constituted, by the inventory of the elastic commodity determined of commodity price ups and downs and supply and demand.
Preferably, the calculation method of the demand of described following a period of time are as follows: A(1+n)=X (1+An)。
Preferably, in the step S3, commodity price coefficient of elasticity depends on the property of target product and similar purposes product
Valence ratio.
Compared with prior art, the beneficial effects of the present invention are: a kind of raw material and warp to production that the invention proposes
Help relation between supply and demand analyzing and predicting method, by end article itself with and dependent merchandise between purposes and economic profit incentive under phase
The behavior reaction gone after profits and advoided disadvantages for closing demand of the participant to end article, supply, price, cost, with the demand of reacting on, supply
It answers, price and cost, demand and potential of demand of the several months to 1--2 Accurate Prediction product, supply can be shifted to an earlier date by foring one
With the time of occurrence of relation of the supply and supply-demand relationship inflection point, the ups and downs trend of commodity price, the model of amount of increase and amount of decrease size, really
Stood it is a set of have practicability, advanced analysis mode, by a large amount of data and science analysis, help user determine
More perspective behavior can be used for the spot exchange of commodity, and futures exchange, supply expansion amplitude instructs, in production and operation
Pricing policy and investment behavior, can also look-ahead price and guidance price, it might even be possible to instruct bank put gathering policy and
The relevant policies of financial and fiscal.
Detailed description of the invention
Fig. 1 is analyzing and predicting method flow chart of the present invention；
Fig. 2 is Costco Wholesale demand production capacity associated diagram of the present invention；
Fig. 3 is the demand curve illustraton of model in demand growth stage of the present invention；
Fig. 4 is the supply curve illustraton of model of present invention supply build phase；
Fig. 5 is price curve illustraton of model of the present invention；
Fig. 6 is cost curve illustraton of model of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, the present invention provides a kind of technical solution: point of a kind of raw material to production and economic relation between supply and demand
The analyzing and predicting method of analysis prediction technique, the raw material to production and economic relation between supply and demand includes the following steps:
S1: it establishes dynamic basic model: the target studied based on production raw material is chosen, demand, supply, valence
Five lattice, cost, inventory variables are placed on one and are mutually related in dynamic model, and carry out quantitative statistics and calculating, are used for
Accurate price inflection point, trend and the fluctuating range or economic trend, economic fluctuation amplitude for analyzing and determining end article；
S2: demand, production capacity and yield are calculated: chooses the market demand data A of target product the first three years or more1,A2,
A3..., average growth rate X is then found out, the need of following a period of time are found out when demand growth factor persistently exists
The amount of asking, real production capacity are B, and the following production capacity=B+ increases production capacity B1,B2,B3..., real yield is C, and future production=C+ increases
The production capacity C added1* the practical utilization of capacity+C2* the practical utilization of capacity ...；
S3: the judgement of supply-demand relationship, upward price trend, fluctuating range and inflection point: market supply and demand difference D=A-C, if difference is
Positive number then determines rise in price or high-order strong, drop or low level Horizontal Price Movement is then determined if negative, the price when D occurs by rotating forward negative
Close or appearance reversion downwards, when D turns negative number to positive number, close prices or appearance invert upwards, the following supply and demand difference D'=A'-C',
Difference is canonical future price continuous rise or strong, and the then future price that is negative continues to decline or continues low level, and the market supply and demand is poor
Value rate E=D/A*100%, difference rate is bigger to illustrate that markup is higher, and the market source of goods is more nervous, commodity price fluctuating range F
=E* commodity price coefficient of elasticity；
S4: the influence judgement of price, cost to supply (production capacity): commodity price Y, according to commodity by supply-demand relationship, competing
Striving property and substitutability carry out the judgement of commodity price Y, and according to technique, raw material and management cost carry out merchandise cost Z judgement, when
When Y > Z, enterprise getting profit, supply and demand difference is bigger, and enterprise getting profit is higher, and the enthusiasm that enterprise expands production is higher, as Y≤Z, enterprise
No profits came in or lossing state, limits the production, and stops production, and production capacity phenomenon is gone to occur；
S5: inventory, the influence judgement for going inventory, inventory again: inventory has reinforcing trend, increases disparities between supply and demand, increases price
The effect of fluctuating range causes production capacity excessively to go production capacity in the later period for going production capacity to go inventory, becomes to form next round supply and demand
Insufficient pushing hands, expand production can inventory again later period, cause production capacity overdistension, become to form that next round supply and demand are superfluous to be pushed away
Hand；
S6: price rebound and upward price trend difference judgement: price rebound appear in slump after factory because price be lower than at
It limits the production or stops work when this valence, then short-term rise in price in short supply, rise in price to a certain extent, is completed to go to produce because no
Can, production capacity discharges again after enterprise getting profit level improves reappears that supply exceed demand, and product price reappears decline, and price is held
Continuous rise appears in production capacity and goes after the completion of inventory, and price, which continues to fall or slumps to appear in, completes production capacity expansion and again inventory
Afterwards；
S7: the judgement of commodity price period of waves: according to the demand growth speed of commodity, intensive capital degree, technical difficulty,
It participates in the strength of enterprise, the period of expanding production, production capacity gone to go to judge commodity price period of waves inventory cycle.
Wherein, the influence Fundamentals of dynamic basic model include: by the intrinsic physico of commodity in the step S1
The demand for learning the commodity that property, application range, application value and cost performance determine, by the energy bring of production and sales end article
The supply for the commodity that profit and profit margin, intensive capital degree, technology-intensive degree, administration determine, by commodity value and
The commodity price that supply-demand relationship determines, by the raw material of production and sales commodity, technology, fund cost, management cost, pin
The merchandise cost for selling cost structure, by the inventory of the elastic commodity determined of commodity price ups and downs and supply and demand, at described following one section
Between demand calculation method are as follows: A(1+n)=X (1+An), in the step S3, commodity price coefficient of elasticity depends on target
The cost performance of product and similar purposes product.
From figure 3, it can be seen that after the listing and release of commodity, over time, the display form of demand.It is needing
It asks, production capacity, price, in four concepts of cost, demand is the inherent avatar of commodity value.Primary demand is divided into, and (1) is flat
Steady formula demand growth；(2) increase, steadily, then increase by two kinds of forms of formula.The first situation be mostly during commodity application by
To the impact of purposes product of the same race or by the impact of economic fluctuation；It is high to show as commodity cost performance for second, Market Feedback is good,
There is no the impact of other factors.
From fig. 4, it can be seen that supply was often fluctuated around actual demand up and down.In the marketing activity, the wave of this production capacity
It is dynamic to cause the waste of great social resources.
From fig. 5, it can be seen that price is the form of expression of value, it is performance natural property of commodity, purposes, using model
It encloses, and determines that the comprehensive of demand embodies, price is fluctuation, and there are many Fundamentals for influencing price fluctuation: cost, supply and demand are closed
System, degree of monopoly, technological progress, speculative factor, price dumping, psychology of pricing expection, industrial chain conduction etc., as technology is removed from office
Newly, demand increases, and forms industrialization mode, and along with the update of commodity, downward trend is presented in price, until technology is fixed
Type, market-ripe become the curve fluctuated up and down.
From fig. 6, it can be seen that the cost of commodity by manufacturing cost, finance costs, management cost, selling cost, storage and transportation at
This composition, the merchandise cost of growth stage are also the downward curve of fluctuation, until technology sizing, market-ripe become wave up and down
Dynamic curve, cost are the support lines of price.
Embodiment
1, target is selected
The selected target product to be judged.
The selected target industry to be judged and the index to be analyzed and determined, and list representational sample product.
The selected economic indicator to be analyzed and determined, and list representational industry sample and sample product.
2, the collection of information
Collect and survey target requirement amount, demand growth factor, first 3 years or more demands and growth pattern.
The supply data and capacity data of 1--2 period of waves of target, present supply and capacity data are collected and surveyed,
And the supply increase and decrease amount in the case of the following different prices.
Collect the historical sales price and instant selling price of target product, the price trend and wave of 1--2 period of waves
Dynamic range.It compares so as to see who is superior with the sexual valence of substitution and price elasticity.
Collect the instant production cost and the cost fluctuation range and product cost of 1---2 period of waves of target product
Constituent element, the factor of future influence product cost.
The collection of other influences factor.
3, the processing of data
The growth rate of demand several years ago is calculated, whether confirmation demand growth factor also persistently exists, and calculates expeced time
Demand.
According to the stage of the now locating market cycle of target product, market is expanded production period and week for going production capacity to go inventory
Phase calculates the production capacity and quantum of output of expeced time in conjunction with the information of the participation enterprise of collection expanded production with abatement production capacity.
According to historical price, the phase of the cycles, the phase of the cycles of expeced time, supply and demand difference, rate of supply and demand and price elasticity system
Number calculates the price of expeced time.Price will refer to the production cost of expeced time in low level.
The cost of material that expected expeced time is calculated according to the historical price of different cycles stage raw material, by technological progress and
Large-scale production is just used as Variable Factors to production cost variation, calculates the production cost of expeced time.
4, it judges and applies according to model and data processed result
With the demand data processing result according to the expected future time, manufacturing enterprise judges whether to need to expand production capacity.
Price inflection point, upward price trend and fluctuating range are judged according to supply and demand difference.Manufacturing enterprise can formulate raw material in advance
Procurement plan, the following commodity production plan, transaction payment method and pricing policy；Trading enterprise formulates inventory in advance and removes inventory's meter
It draws；Futures mechanism can formulate trading program in advance；Security organization can more accurately predict Target Enterprise profit variation, formulate
Relevant trading program；Bank can formulate the receipts lending policy of oneself according to the inflection point and trend of commodity and economy, avoid piercing
Swash appearance of enterprise overproduction, reduces itself risk；Finance & Banking supervision department can adjust Finance & Banking according to prediction
Policy, reduces economy and financial market is fluctuated.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (4)
1. a kind of to the raw material of production and the analyzing and predicting method of economic relation between supply and demand, it is characterised in that: this is to production
Raw material and the analyzing and predicting method of economic relation between supply and demand include the following steps:
S1: establish dynamic basic model: choosing the target studied based on production raw material, demand, supply, price, at
Originally, five variables of inventory are placed on one and are mutually related in dynamic model, and carry out quantitative statistics and calculating, for accurately dividing
Analysis judges price inflection point, trend and the fluctuating range or economic trend, economic fluctuation amplitude of end article；
S2: demand, production capacity and yield are calculated: chooses the market demand data A of target product the first three years or more1,A2,A3...,
Then average growth rate X is found out, the demand of following a period of time is found out when demand growth factor persistently exists, reality
Production capacity is B, and the following production capacity=B+ increases production capacity B1,B2,B3..., real yield is C, the increased production capacity of future production=C+
C1* the practical utilization of capacity+C2* the practical utilization of capacity ...；
S3: the judgement of supply-demand relationship, upward price trend, fluctuating range and inflection point: market supply and demand difference D=A-C, if difference is positive number
Then determine rise in price or high-order strong, drop or low level Horizontal Price Movement is then determined if negative, the close prices when D occurs by rotating forward negative
Or there is reversion downwards, close prices or appearance reversion upwards, following supply and demand difference D '=A '-C ', difference when D turns negative number to positive number
For canonical future price continuous rise or strong, the then future price that is negative continues to decline or continues low level, market supply and demand difference rate E
=D/A*100%, difference rate is bigger to illustrate that markup is higher, and the market source of goods is more nervous, commodity price fluctuating range F=E* quotient
Product price elastic coefficient；
S4: the influence judgement of price, cost to supply (production capacity): commodity price Y, according to commodity by supply-demand relationship, competitiveness
The judgement that commodity price Y is carried out with substitutability, according to technique, raw material and management cost carry out merchandise cost Z judgement, as Y > Z
When, enterprise getting profit, supply and demand difference is bigger, and enterprise getting profit is higher, and the enthusiasm that enterprise expands production is higher, and as Y≤Z, enterprise is not full of
Benefit or lossing state are limited the production, and are stopped production, and production capacity phenomenon is gone to occur；
S5: inventory, the influence judgement for going inventory, inventory again: inventory has reinforcing trend, increases disparities between supply and demand, increases price fluctuation
The effect of amplitude causes production capacity excessively to go production capacity in the later period for going production capacity to go inventory, becomes to form next round supply and demand deficiency
Pushing hands, expand production can inventory again later period, cause production capacity overdistension, become the pushing hands to form next round supply and demand surplus；
S6: the difference judgement of price rebound and upward price trend: factory is because price is lower than cost price after price rebound appears in slump
When limit the production or stop work, then short-term rise in price in short supply, rise in price to a certain extent, because going production capacity without completion, enterprise
Production capacity discharges again after the industry level of profitability improves reappears that supply exceed demand, and product price reappears decline, on price continues
It swells and goes production capacity to go after the completion of inventory now, price, which continues to fall or slumps to appear in, completes production capacity expansion and again after inventory；
S7: the judgement of commodity price period of waves: according to the demand growth speed of commodity, intensive capital degree, technical difficulty, participation
The strength of enterprise, goes production capacity to go to judge commodity price period of waves inventory cycle at the period of expanding production.
2. it is according to claim 1 a kind of to the raw material of production and the analyzing and predicting method of economic relation between supply and demand, it is special
Sign is: in the step S1 influence Fundamentals of dynamic basic model include: by commodity intrinsic physicochemical properties,
The demand for the commodity that application range, application value and cost performance determine, by production and sales end article energy bring profit and
The supply for the commodity that profit margin, intensive capital degree, technology-intensive degree, administration determine is closed by the value and supply and demand of commodity
It is the commodity price determined, by the raw material of production and sales commodity, technology, fund cost, management cost, selling cost
The merchandise cost of composition, by the inventory of the elastic commodity determined of commodity price ups and downs and supply and demand.
3. it is according to claim 1 a kind of to the raw material of production and the analyzing and predicting method of economic relation between supply and demand, it is special
Sign is: the calculation method of the demand of described a period of time in future are as follows: A(1+n)=X (1+An)。
4. it is according to claim 1 a kind of to the raw material of production and the analyzing and predicting method of economic relation between supply and demand, it is special
Sign is: in the step S3, commodity price coefficient of elasticity depends on the cost performance of target product and similar purposes product.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109948928A (en) * | 2019-03-15 | 2019-06-28 | 中科钢研节能科技有限公司 | A kind of the profit expection automatic analysis system and method for technology |
| CN110060016A (en) * | 2019-04-30 | 2019-07-26 | 深圳春沐源控股有限公司 | Fresh stock method, apparatus, computer equipment and storage medium |
| CN111860941A (en) * | 2020-06-03 | 2020-10-30 | 贵州乌江水电开发有限责任公司 | Method and device for optimizing electric power big data intelligent decision platform |
| CN112651561A (en) * | 2020-12-28 | 2021-04-13 | 车主邦（北京）科技有限公司 | Data analysis method and device for supply capacity |
| CN115994779A (en) * | 2023-03-17 | 2023-04-21 | 联一信息技术(北京)有限公司 | ERP management system and method |
| CN116629913A (en) * | 2023-07-24 | 2023-08-22 | 山东青上化工有限公司 | Data extraction system and processing method for compound fertilizer production process |
| CN116777157A (en) * | 2023-06-20 | 2023-09-19 | 上海朗晖慧科技术有限公司 | Supply and demand data centralized supervision system and method based on big data |
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2018
- 2018-08-23 CN CN201810965199.XA patent/CN109086942A/en active Pending
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109948928A (en) * | 2019-03-15 | 2019-06-28 | 中科钢研节能科技有限公司 | A kind of the profit expection automatic analysis system and method for technology |
| CN110060016A (en) * | 2019-04-30 | 2019-07-26 | 深圳春沐源控股有限公司 | Fresh stock method, apparatus, computer equipment and storage medium |
| CN111860941A (en) * | 2020-06-03 | 2020-10-30 | 贵州乌江水电开发有限责任公司 | Method and device for optimizing electric power big data intelligent decision platform |
| CN112651561A (en) * | 2020-12-28 | 2021-04-13 | 车主邦（北京）科技有限公司 | Data analysis method and device for supply capacity |
| CN115994779A (en) * | 2023-03-17 | 2023-04-21 | 联一信息技术(北京)有限公司 | ERP management system and method |
| CN116777157A (en) * | 2023-06-20 | 2023-09-19 | 上海朗晖慧科技术有限公司 | Supply and demand data centralized supervision system and method based on big data |
| CN116777157B (en) * | 2023-06-20 | 2024-01-30 | 上海朗晖慧科技术有限公司 | Supply and demand data centralized supervision system and method based on big data |
| CN116629913A (en) * | 2023-07-24 | 2023-08-22 | 山东青上化工有限公司 | Data extraction system and processing method for compound fertilizer production process |
| CN116629913B (en) * | 2023-07-24 | 2023-10-03 | 山东青上化工有限公司 | Data extraction system and processing method for compound fertilizer production process |
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Application publication date: 20181225 |