NL2004604C2 - System and method for updating a dataset. - Google Patents

System and method for updating a dataset. Download PDF

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Publication number
NL2004604C2
NL2004604C2 NL2004604A NL2004604A NL2004604C2 NL 2004604 C2 NL2004604 C2 NL 2004604C2 NL 2004604 A NL2004604 A NL 2004604A NL 2004604 A NL2004604 A NL 2004604A NL 2004604 C2 NL2004604 C2 NL 2004604C2
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data set
value
type
elements
growth
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NL2004604A
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Chris Zadeh
Erik Drijkoningen
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Ohpen B V
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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
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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
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    • 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
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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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Forestry; Mining
    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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Description

System and method for updating a dataset FIELD OF THE INVENTION
The invention relates to a system and method for updating a dataset.
BACKGROUND OF THE INVENTION
5
Complex processes like chemical processes are controlled by a vast number of parameters. Control and/or simulation require significant processing of datasets representing those parameters and the process. Large processing resources are abundant, ranging from large (quad core processors in desktop personal computers) to 10 very large supercomputers. However, in certain scenarios, natural persons would like to interfere nonetheless, for example to tailor a process to the person's needs, for monitoring purposes in case of calamities or just to give the person a feeling to be in control. Direct control of all parameters by a person is one way to arrange this, though this requires a lot of skill, effort and overview from the person.
15
OBJECT AND SUMMARY OF THE INVENTION
There is a need to reduce control efforts required to control complex processes, preferably in an efficient way. The invention provides in a first aspect a system for 2 0 updating a first dataset and a second dataset, each dataset comprising elements attributed to either a first species or a second species, the system comprising: a communication unit for receiving at least two requests for updating a dataset related to updating an amount of elements attributed to at least on type of species and at least one affected dataset; a storage unit for storing the first dataset and the second dataset; 25 a processing unit arranged for updating the composition of the affected dataset; calculating the resulting net change in elements in the affected dataset; and having the net change in elements in the affected dataset stored in the storage unit; wherein the communication unit is further arranged for sending an instruction to effectuate the resulting net change in elements in the affected dataset.
30
As the elements of the datasets and the species are intended to represent real life parameters, as will be discussed in the description of embodiments, efficient execution of updated parameter sets is preferred. In particular if the datasets represent entities or processes that are closely related, it advantageous that execution of the updates is 2 handled efficiently. In relation to an entity, if a first update request would comprise an increase of element X by amount D and a second update request would comprise a decrease of element X by amount C, it would be more efficient to execute a change of element X by (D-C). Or if update request affects the first data set as well as the second 5 dataset, both requests relate to updating the amount of element X and a first request relates an increase and second request relates to a decrease, parts of element X can be swapped from a first entity represented by the first dataset to a second entity represented by the second dataset - or vice versa.
10 In an embodiment of the system according to the invention, the first species has a first spread value or a spread value range and a first growth value or growth value range related to it and the second species has a second spread value or a spread value range and a second growth value or growth value range related to it, the communication unit being further arranged to receive a dataset profile input related to at least one objective 15 on a parameter of at least one of the datasets; and the processing unit being further arranged to determine a ratio of the first species and the second species in the dataset to achieve or approach the objective in an optimal way; calculate a modification of the applicable dataset to achieve the ratio determined in the previous step; and propose a modification of the dataset to have the dataset comprising the first species and the 2 0 second species in the ratio determined earlier.
In almost all processes or situations in real life, large growth like reaction speed in a chemical process or high gains in a stock market are inherently related to instability of the reaction or volatility of values or growth. In certain cases, speed and profit are very 25 important; in other cases stability is key. Computer systems can tap into this, though human intervention is preferred here as the weigh-off between speed and profit on one hand and stability on the other hand cannot always be made by a computer system, in particular not if parameters influencing this weigh-off cannot be measured in an efficient way, like product demand or human emotion.
30
In a further embodiment of the system according to the invention, the processing unit is further arranged to: calculate a spread value and a growth value of at least one element or group of elements over a pre-determined time period, representing, respectively, the spread of the intrinsic value over time and the growth of the intrinsic value over time; 35 and attribute the element to the first species, the second species or none at all depending on the calculated spread value and/or the calculated growth value.
3
Processes change over time, like chemical processes that change as reactions take place or growth rate and harvest of crops and in particular certain races of for example beans change of time as weather varies and the climate changes. In such cases, the type and amount of reactants for one or more reactions or in the other case, the 5 composition of the crop of a farmer or multiple farmers requires updating. As discussed in relation to a previous embodiment discussed, this can be done manually by adjusting ratio of species. However, additionally or alternatively, automatic updates may also be required, in particular if such updates relate to single elements.
10 In another embodiment of the system according to the invention, the processing unit is further arranged to: classify elements in classes based on at least one characteristic of the element; calculate a spread value and a growth value per class; and attribute a class of elements to the first species or the second species depending on the spread value and the growth value per class.
15
An advantage of this embodiment is that evaluating elements on a per-class basis whether they are appropriate candidates for attribution to a species is more efficient with respect to processing power.
2 0 The invention provides in a second aspect a method of updating a first dataset and a second dataset, each dataset comprising elements attributed to either a first species or a second species, the method comprising receiving at least two requests for updating a dataset related to updating an amount of elements attributed to at least on type of species and at least one affected dataset; updating the composition of the affected 25 dataset; calculating the resulting net change in elements in the affected dataset; storing the net change in elements in the affected dataset; and sending an instruction to effectuate the resulting net change in elements in the affected dataset.
The invention provides in a third aspect a computer programmed to execute a method 30 of updating a first dataset and a second dataset, each dataset comprising elements attributed to either a first species or a second species, the method comprising receiving at least two requests for updating a dataset related to updating an amount of elements attributed to at least on type of species and at least one affected dataset; updating the composition of the affected dataset; calculating the resulting net change in elements in 35 the affected dataset; storing the net change in elements in the affected dataset; and sending an instruction to effectuate the resulting net change in elements in the affected dataset.
4
BRIEF DESCRIPTION OF THE DRAWINGS
The inventions and various aspects and embodiments thereof will now be elucidated by means of Figures. In the Figures, 5 Figure 1 shows a networked computing system
DESCRIPTION OF PREFERRED EMBODIMENTS
Figure 1 shows a networked computing system 100 as an embodiment of the system according to the invention. The networked computing system 100 comprises a first 10 computation and communication group 110 and a second computation and communication group 110'. The second computation and communication group 110' serves as a back-up for the first computation and communication group 110. Therefore, the second computation and communication group 110' comprise components equivalent to those of the first computation and communication group 110. For reasons 15 of simplicity, elements and functionality of only the first computation and communication group 110 will be discussed in further detail; equivalent elements of the second computation and communication group 110', having same reference numerals and signed by a apostrophe have the same of equivalent functionality. The second computation and communication group 110' is preferably located at a physically and/or 2 0 geographically different location than the first computation and communication group 110.
In addition to the first computation and communication group 110 and the second computation and communication group 110', the networked computing system 2 5 comprises an operator user server group 150.
The first computation and communication group 110 comprises a network communication unit 112 for connecting the networked computing system 100 to the internet. A loadbalancer server 114 is coupled to the network communication unit 112 30 for balancing request load to a first Webserver 116 and a second Webserver 118. Optionally, further webservers may be connected to the loadbalancer server 114. The loadbalancer server 114 routes data handling requests from the internet to one or more webservers, including the first Webserver 116 and the second Webserver 118, for properly balancing the number of data handling requests over the first Webserver 116 35 and the second Webserver 118. Preferably, the loadbalancer server 114 and/or the first 5
Webserver 116 and the second Webserver 118 are provided with a firewall for proper protection of the networked computing system 100.
Data handling requests from the internet - or, for that matter, data handling requests 5 from the networked computing system 100 directed towards a computer connected to the internet - are for example all directed to the first Webserver 116 until the maximum number of data handling processes of the first Webserver 116 is reached. Alternatively, data handling processes are handled by the first Webserver 116 and the second Webserver 118 in equal quantities.
10
In a particularly preferred embodiment, the first Webserver 116 handles all incoming and outgoing data handling requests until 60% of the load of the first Webserver 116 is reached. At that moment, data handling requests are distributed over the first Webserver 116 and the second Webserver 118. If the average load of the first Webserver 116 and 15 the second Webserver 118 drops below 30% and remains below 30% for two consecutive minutes, one of the two webservers is set on stand-by, while running data handling requests are either taken over by the other Webserver or still handled until they are terminated, while new data handling requests are only handled by the active Webserver.
20
In case more than two webservers are available, for example five, and four webservers are active, one Webserver is put to standby if the average load drops below 45% and the fifth Webserver is activated if the average load increases to over 60%. As a person skilled in the art, other thresholds may be implemented as well.
25
The first Webserver 116 and the second Webserver 118 are coupled to a master calculator server 120 and a data storage server 122. The storage server 122 is arranged to store data related to users or customers of the networked computing system 100. This data can comprise address data of customers or users and data to be 30 processed for the customers or users. The data storage server 122 is coupled to the master calculator server 120 and to a back-up data storage server 122'.
Data stored on the data storage server 122 is continuously or semi-continuously synchronised with data on the back-up data storage server 122'. In case the data 35 storage server 122 breaks down, the back-up data storage server 122' and the rest of the second computation and communication group 110' can directly take over the functionality of the first computation and communication group 110.
6
The master calculator server 120 arranges calculations and other processing required to service customers or other users of the networked computing system 100. The master calculator server 120 can process calculations by itself or can delegate all or part of the calculations to a first slave calculator server 124 and/or a second slave 5 calculator server 126. Each of the calculator servers can run one or more identical applications to perform requested calculations and other processing simultaneously to service a large group of users.
The applications run on the master calculator server 120, the first slave calculator 10 server 124 and/or the second slave calculator server 126 are provided by means of software; machine readable instructions enabling the networked computing system 100 and in particular the master calculator server 120, the first slave calculator server 124 and/or the second slave calculator server 126, possibly in conjunction with the data storage server 122. The software may be stored on a separate machine-readable 15 medium or on a harddisk.
The applications enable the networked computing system 100, in particular the first computation and communication group 110 and the second computation and communication group 110' and more in particular the master calculator server 120, the 2 0 first slave calculator server 124 and/or the second slave calculator server 126, possibly in conjunction with the data storage server 122 to execute the method according to the invention and embodiments thereof.
The data storage server 122 is also coupled to an intranet Webserver 128 to enable an 2 5 operator of the networked computing system 100 to control and service the networked computing system 100 and in particular the first computation and communication group 110 and the second computation and communication group 110'. As to the latter, a connection between the intranet Webserver 128 and the backup data storage server 122 can be established as well.
30
The data storage server 122 is also coupled to an intranet data storage server 130. Data stored on the data storage server 122 is continuously or semi-continuously synchronised with data on the intranet data storage server 130.
35 Both the intranet Webserver 128 and the intranet data storage server 130 are coupled to a personal computer 132 for controlling and operating the various components of the 7 networked computing system 100. The intranet Webserver 128, the intranet data storage server 130 and the personal computer 132 form an operator computing and control network 150.
5 The networked computing system 100 is arranged to control and perform the method according to the invention and embodiments thereof. In an embodiment of the invention, data stored on the data storage server 122 comprises datasets representing the crop of various farmers commonly growing the crop and each farmer owning a particular part of the crop.
10
The crop is split in two species, for example a first species doing particularly well during the summer season and significantly less during the rest of the year and a second species doing well during the whole year, though on average at a lower level than the first species. The first species and the second species comprise various races of plants, 15 each having its own particular characteristics with respect to its average growth, spread in the growth and harvest-ready volume and the value thereof. Spread in the growth, growth rate and/or harvest-ready volume and the value thereof can for example be calculated as the standard deviation of those values over time. Another option of splitting the crop in species is a split in a first species comprising races with a high 2 0 average growth rate and a large dependency on the weather and a second species with races having a low growth rate and a low dependency on the weather.
As farmers have different interests related to their share of the crop, they may be interested to own more of the first species and less of the second species or the other 25 way around. Owning more of the first species could in potential results in a larger harvest than owning more of the second species. However, if bad summer weather -like heavy rain or draught -ruins the crops of the first species, owning more of the second species will result in a larger crop instead. So the (average) growth rate of the first species is higher than the growth rate of the second species to summer weather 30 and in particular bad summer weather, but due to the sensitivity of the second species, the spread of the growth rate (and the harvest value) of the second species is larger than that of the first species.
To enable farmers to optimise their share in the crop in accordance with their personal 35 situation, requirements and preferences, they trade their shares of the crop on a continuous basis, preferably on a per-species basis to enable a simple trading process. Changes in the shared crop are handled by the networked computing system 100 and 8 in particular by the data storage server 122 where the composition of the crop shares of the farmers is administrated as a dataset and the master calculator server 120 performing any calculations and other processing on the datasets representing crop shares.
5
Upon receiving multiple requests for changes of crop shares and in particular exchange of a first amount of the first species to a second amount of the second species, the master calculator server 120 - and/or the first slave calculator server 124 and/or a second slave calculator server 126 for that matter - calculates the net change of the 10 whole crop. If the net change of the crop is zero, no purchase and/or sale of plants of the crop is required and the species of the crop can be redistributed among the farmers. This allows a significant reduction in processing of the crop, in particular with respect to removing plants or trees and planting of plants or trees.
15 As already discussed, each farmer has its personal situation, requirements and preferences, also with respect to an expected or required harvest, at the end of the year, at the end of a season or after certain amount of years. Such objective can be a maximum harvest potential, maximum certainty on a harvest, other objectives or a combination thereof, to be reached either within a pre-determined period in time or just 2 0 in general. It will be appreciated that the harvest potential will vary over time, depending on for example the season. Based on the average growth and the average spread of a species or a range of growth and a range of spread of a species, an optimal ratio of the first species and the second species in the share of a farmer can be calculated by the master calculator server 120.
25
Subsequently, the calculated optimal ratio of the first species and the second species in the share of a farmer is proposed to the applicable farmer. A person skilled in the art will appreciate that the objective or objectives of the farmer cannot always be reached given the size of a certain share and the average growth rate of the plants and/or trees in a 3 0 species. In such a case, the ratio of first species and second species is calculated such to approach the objective in an optimal way.
As already discussed, share optimisation is preferably done by only enabling farmers to trade on a per-species basis. This requires the elements within the species, various 35 races for example, to be managed in a way to properly maintain the characteristics of the species. To achieve this, growth characteristics of various races are monitored in a continuous or on an interval basis. Preferably races that are already represented in 9 either the first species or the second species of the crop are included, but also races not comprised by the crop can be monitored to check whether those races are candidates to be included in the common crop and in particular in either one of the species.
5
While monitoring the races, various physical parameters of the races are monitored. In particular the growth rate of the species, including the potential harvest value and the current value of the crop and the growth rate thereof and the spread of those rates and values is monitored and registered. The current value or intrinsic value of the crop will 10 increase over the season; in the beginning of the season the value will be low or even zero as for example fruits will not grow yet or are too small. However, the value of the harvest of a race will also vary over the years, depending on influences of the weather during the year and/or in a particular season, market situation for certain species and races and other issues. Therefore, the growth can also be negative, for example due to 15 changes in climate. Depending on the growth rate of values of the races and the spread of the growth rate of a race, the race is attributed to the first species, the second species or none. Taking the second example of splitting the crop in species discussed above, races having a high growth rate will be attributed to the first species and races having a low spread in growth rate will be attributed to the second species.
20
To facilitate the attribution of races to a certain species, races can also be classified in classes, where the average growth rate or average growth rates and the average value of the spread or the average values of the spread of the races in the class determine whether a full class of races is to be attributed to the first species, the second species or 25 no species at all. It is noted that various types of classifications may be used. For example, races may be classified in accordance with the type of harvest, like berries, apples and pears, citrus, tubers, bulbs or in accordance with the geographical origin of the races, like Europe, Asia and Africa.
3 0 The data on the various values is provided to the networked computing system 100 by means of the network communication unit 112 and/or the personal computer 132 or by other means. Subsequently, the data is fed through the networked computing system 100 to the data storage server 122 and processed by the master calculator server 120. The data may be either raw data, meaning instant values of intrinsic value of a harvest 35 on a per-plant or a per-race basis on a certain moment or pre-processed data like growth rate and spread of a certain plant, race or class over a certain amount of time.
10
Based on the values of average growth of harvest values of races in classes and values of average spread of harvest values of races in classes as provided or as calculated by the master calculator server 120, classes are attributed to the first species, the second species or none. Subsequently, the attribution is stored in a 5 database in the data storage server 122. As discussed, this attribution to a species can take place on a per-race basis or on a per-class basis.
Having discussed several embodiments of the system according to the invention and several embodiments of the method according to the invention in a first scenario on 10 optimising a yield of a common crop and in particular optimising the yield of a personal share of a common crop in accordance with personal preferences, it is noted that the invention may be applied in other scenarios as well.
In another embodiment of the invention, a reaction in a reactor is optimised by means of 15 administration of two substances to the reactor, depending on a desired speed and stability of the reaction. Each substance comprises multiple reactants and the first substance comprises highly reactive though unstable or at least not very stable reactants and the second substance comprises reactants that have a significantly lower reaction speed, though of which the reaction speed is significantly more stable. Pre-2 0 determined values or ranges of values of the reaction speed and the reaction stability may be set for the overall reaction speed and stability of the reaction speed for each substance may be defined.
Multiple reactants may be required in complex reactions where the matter in the reactor 2 5 that requires to be transformed comprises multiple types of materials. In addition, during the reaction process, intermediate products may appear, resulting in different behaviour of the reactants on the matter in the reactor.
Depending on a desired reaction speed and a desired reaction stability or depending on 30 a moment in time when a certain amount of matter in the reactor has to be reacted, possibly with a probability factor, either more of the first substance or more of the second substance needs to be added. Providing the option to only add the first substance, the second substance or a combination of both simplifies the number of control parameters for controlling the process in the reactors.
35
However, in the further course of the reaction or the reactions in the reactors, the behaviour of reactants in the substances with respect to the reaction may change, 11 changing the overall characteristics of a substance and in particular the reaction speed and the stability thereof. In that case, the type and amount of a certain reactant in either the first of the second substance may be increased or decreased, the latter even to zero. Additionally or alternative, other reactants initially not present in either one of 5 the substances may be added to keep the characteristics of the substances at the values pre-determined earlier or within the ranges pre-defined earlier.
Reaction speed and stability of the reaction speed are monitored on a continuous, semi-continuous or intermittent basis, providing input for the master calculator server 120 to 10 optimise the contents of the first substance and the second substance such that the characteristics at a level or within a range as discussed before.
Also possible reactants to be added to the first substance, the second substance or not substance at all may be classified in classes, as discussed in a previous embodiment. 15 Based on the overall characteristics of reaction speed and the stability of the reaction speed, reactants in a class may be added to the first substance, the second substance or not at all.
In another embodiment of the method according to the invention, the composition of a 2 0 property portfolio is optimised. The property portfolio comprises rights in two property funds, a first fund with a relatively high average profit or growth rate and a relatively high volatility and a second fund with a relatively low profit growth rate and a relatively low volatility. The actual portfolio characteristics, like the profit and the volatility are determined by the characteristics of property rights in the funds.
25
Investors are enabled to set up a property portfolio comprising rights in the first fund and the second fund, at a certain ratio. Changes in the portfolios of multiple investors are provided to the first computation and communication group 110 of the networked computing system 100. Subsequently, the net changes in the total sizes of the first fund 30 and the second fund are calculated by master calculator server 120. The net changes in the total sizes of the first fund and the second fund result in a net order for sale or purchase of property rights to adjust the sizes of the funds. If the amount of internal changes in shares is larger than the net change of the funds, rights in funds are redistributed among the various investors in the funds.
35
Investors are at the start and/or during their investment period asked for their profit objectives. A profit objective may be a fixed amount at a given date, maximum profit, a 12 maximum risk or another objective. Based on the objective and the characteristics of the funds, an optimal ratio of investment in the first fund and the second fund can be calculated by the master calculator server 120. As discussed before in the context of a previous embodiment, the objective may be out of reach considering the invested 5 amount. In that case, an optimal ratio is calculated to approach the objective in an optimal way. An investor can opt to accept the proposal or to choose a ratio that is more to his or her own liking.
Preferably, the profitability and the volatility of the first fund and the second fund have 10 pre-defined values or pre-defined ranges. To ensure that the profitability and the volatility of the funds are at those values or within those ranges, the compositions of the first fund and the second fund can be updated. Due to changes in markets, macro-economic changes and other factors, certain property rights that used to have a high profit and a low volatility may get a low profit and a high volatility, like real estate. To 15 keep the levels of the volatility and the profit of the funds at the pre-determined values or within pre-determined ranges, such property rights need or may need to be removed from a fund. Such property rights are sold and replaced by other property rights to be bought.
2 0 To find proper candidates to be bought, a large amount of property rights is monitored on a continuous, semi-continuous or intermittent basis. In particular, the volatility and the profit over a certain time period are monitored. This may be done by feeding raw data to the master calculator server 120 by feeding prices of property. Subsequently, the master calculator server 120 stores the values on the data storage server 122 and 2 5 calculates the profit and volatility over time. Based on the calculated profit and volatility, a property right can be selected as a good candidate for inclusion in a fund, either the first fund or the second fund.
To facilitate selection of property rights to be included in a fund, property rights can be 30 classified in classes. In this embodiment, classes are in total included in a fund based on the overall or average values of profit and volatility in a class. Examples for classification are classifications in type of property rights, like real estate, bonds, stocks and other, classification in geographical origin of the property rights or classification by sector, like medical, food, media, industry automotive and other. Subsequently, the 35 profit and the volatility of property rights are calculated on a per-class basis.
13
Investors are enabled to manage their portfolio themselves via networked computing system 100 and in particular by means of the first computation and communication group 110. An investor connects to the first computation and communication group 110 via the internet and the network communication unit 112. The 5 communication between the investor is relayed to the data storage server 122 via the loadbalancer server 114 and either the first Webserver 116 or the second Webserver 118.
Via a web user interface, the investor can access data related to his or her investment 10 portfolio and in particular data on the invested amount, the division of the invested amount over the first fund and the second fund, the profitability of the total investment and other data. Additionally, the investor is enabled to swap investments from the first fund to the second fund or vice-versa and/or to increase or decrease the total invested amount. Furthermore, the investor can change his or her personal details like address 15 and bank account number.
The data thus gathered and the changes in the portfolio and/or personal details are stored on or by the data storage server 122 and changes in the portfolio are fed to the master calculator server 120 together with changes in portfolios of other investors to 2 0 calculate a net order to be executed as discussed before. The order to be executed is send out by the first computation and communication group 110 via the network communication unit 112 to for example stock exchanges.
Thus having described multiple embodiments of various aspects of the invention, it is 25 noted that various modifications may be made without departing from the scope of the invention. In embodiments discussed so far, users of systems and methods were only allowed to change three parameters: the ratio of two species of crops, the ratio of two substances of reactants and the ratio of two funds and as a third parameter the total amount or size of crop, substances and funds. Optimisation of the species, substances 3 0 and funds was arranged by the first computation and communication group 110 and in particular by the master calculator server 120. It can be envisaged that users are enabled to pick from more species - where species comprises substances and funds as well.
35 Expressions such as "comprise", "include", "incorporate", "contain", "is" and "have" are to be construed in a non-exclusive manner when interpreting the description and its associated claims, namely construed to allow for other items or components which are 14 not explicitly defined also to be present. Reference to the singular is also to be construed in be a reference to the plural and vice versa.
Furthermore, the invention may also be embodied with less components than provided 5 in the embodiments described here, wherein one component carries out multiple functions. Just as well may the invention be embodied using more elements than depicted in Figure 1, wherein functions carried out by one component in the embodiment provided are distributed over multiple components.
10 A person skilled in the art will readily appreciate that various parameters disclosed in the description may be modified and that various embodiments disclosed and/or claimed may be combined without departing from the scope of the invention.
It is stipulated that the reference signs in the claims do not limit the scope of the claims, 15 but are merely inserted to enhance the legibility of the claims.

Claims (10)

1. Systeem voor het actualiseren van een eerste dataset en een tweede dataset, waarbij elke dataset elementen omvat die zijn toegewezen aan een eerste soort of aan een tweede soort, het systeem omvattende: a) een communicatie eenheid voor ontvangen van ten minste 5 twee verzoeken voor het actualiseren van een dataset, welke verzoeken zijn gerelateerd aan het actualiseren van elementen toegewezen aan ten minste een soort en ten minste een betrokken dataset; b) een opslageenheid voor opslaan van de eerste dataset en de tweede dataset; 10 c) een verwerkingseenheid ingericht om: i) de inhoud van de betrokken dataset te actualiseren; ii) de netto verandering van elementen in de betrokken dataset uit te rekenen; en 15 iii) de netto verandering van de elementen in de betrokken dataset op te slaan in de opslageenheid; Waarbij de communicatie eenheid verder is ingericht voor het zenden van een instructie om de resulterende netto verandering in elementen in de betrokken dataset uit te voeren. 20A system for updating a first data set and a second data set, wherein each data set comprises elements assigned to a first type or to a second type, the system comprising: a) a communication unit for receiving at least 5 two requests for updating a data set, which requests are related to updating elements assigned to at least one type and at least one data set involved; b) a storage unit for storing the first data set and the second data set; C) a processing unit adapted to: i) update the content of the relevant data set; ii) calculate the net change of elements in the relevant dataset; and iii) storing the net change of the elements in the relevant data set in the storage unit; The communication unit is further adapted to send an instruction to carry out the resulting net change in elements in the relevant data set. 20 2. Systeem volgens conclusie 1, waarbij een eerste spreidingswaarde en/of een eerste spreidingsbereik en een eerste groeiwaarde en/of eerste groeiwaardebereik is gerelateerd aan de eerste soort en de een tweede spreidingswaarde en/of een tweede spreidingsbereik en een tweede groeiwaarde en/of tweede groeiwaardebereik is 25 gerelateerd aan de tweede soort, waarbij de communicatie eenheid verder is ingericht om een dataset invoerprofiel te ontvangen, welk dataset invoerprofiel is gerelateerd aan ten minste een doel voor een parameter van ten minste een van de datasets en waarbij de verwerkingseenheid verder is ingericht om: a) een verhouding te bepalen van de eerste soort en de tweede 30 soort in de dataset om het doel te bereiken of optimaal te benaderen;' b) een wijziging van de betrokken dataset te berekenen om de eerder berekende verhouding te bereiken; c) een wijziging van de dataset voor stellen om de berekende verhouding van de eerste soort en de tweede soort in de betrokken dataset te bewerkstelligen.The system of claim 1, wherein a first spreading value and / or a first spreading range and a first growth value and / or first growth value range is related to the first species and the second spreading value and / or a second spreading range and a second growth value and / or second growth value range is related to the second type, wherein the communication unit is further adapted to receive a data set input profile, which data set input profile is related to at least one target for a parameter of at least one of the data sets and wherein the processing unit is further arranged to: a) determine a ratio of the first type and the second type in the data set to achieve or optimally approach the goal; b) calculate a change to the dataset concerned to achieve the previously calculated ratio; c) propose a change to the data set to achieve the calculated ratio of the first type and the second type in the relevant data set. 3. Systeem volgens conclusie 1, waarbij de verwerkingseenheid verder is ingericht om: a) een spreidingswaarde en een groeiwaarde van ten minste een element of groep van element over een vooraf bepaalde periode te berekenen, welke spreidingswaarde en groeiwaarde respectievelijk de 10 spreiding van de intrinsieke waarde van het element en de groei van de intrinsieke waarde van het element representeren; en b) het element of de groep van elementen aan de eerste groep, de tweede groep of geen van beide toe te wijzen, afhankelijk van de berekende spreidingswaarde en/of de berekende groeiwaarde. 153. System as claimed in claim 1, wherein the processing unit is further adapted to: a) calculate a spread value and a growth value of at least one element or group of element over a predetermined period, which spread value and growth value respectively the spread of the intrinsic represent the value of the element and the growth of the intrinsic value of the element; and b) assign the element or group of elements to the first group, the second group or neither of them, depending on the calculated spread value and / or the calculated growth value. 15 4. Systeem volgens conclusie 3, waarbij de verwerkingseenheid verder is ingericht om: a) elementen te classificeren in klassen gebaseerd op ten minste een eigenschap van het element; 20 b) een spreidingswaarde en een groeiwaarde per klasse te berekenen; en c) een klasse van elementen toe te wijzen aan de eerste soort of aan de tweede soort afhankelijk van de spreidingswaarde en de groeiwaarde van de klasse. 25The system of claim 3, wherein the processing unit is further adapted to: a) classify elements into classes based on at least one property of the element; B) calculate a spread value and a growth value per class; and c) assigning a class of elements to the first type or to the second type depending on the spread value and the growth value of the class. 25 5. Werkwijze voor het actualiseren van een eerste dataset en een tweede dataset, waarbij elke dataset elementen omvat die zijn toegewezen aan een eerste soort of aan een tweede soort, de werkwijze omvattende: a) ontvangen van ten minste twee verzoeken voor het 30 actualiseren van een dataset, welke verzoeken zijn gerelateerd aan het actualiseren van elementen toegewezen aan ten minste een soort en ten minste een betrokken dataset; b) actualiseren van de inhoud van de betrokken dataset; c) berekenen van de netto verandering van elementen in de 35 betrokken dataset; d) opslaan van de netto verandering van elementen in de betrokken dataset; en e) verzenden van instructies om de resulterende netto verandering van elementen in de betrokken dataset uit te voeren.5. A method for updating a first data set and a second data set, wherein each data set comprises elements assigned to a first type or to a second type, the method comprising: a) receiving at least two requests for updating a data set, which requests are related to updating elements assigned to at least one type and at least one data set involved; b) updating the content of the relevant dataset; c) calculating the net change of elements in the data set involved; d) storing the net change of elements in the relevant data set; and e) sending instructions to perform the resulting net change of elements in the data set involved. 6. Werkwijze volgens conclusie 5, waarbij een eerste spreidingswaarde en/of 5 een eerste spreidingsbereik en een eerste groeiwaarde en/of eerste groeiwaardebereik is gerelateerd aan de eerste soort en de een tweede spreidingswaarde en/of een tweede spreidingsbereik en een tweede groeiwaarde en/of tweede groeiwaardebereik is gerelateerd aan de tweede soort, de werkwijze verder omvattende: a) ontvangen van een dataset invoer profiel welk dataset 10 invoerprofiel is gerelateerd aan ten minste een doel voor een parameter van ten minste een van de datasets; b) bepalen van een verhouding van de eerste soort en de tweede soort in de dataset om het doel te bereiken of optimaal te benaderen; Berekenen van een wijziging van de betrokken dataset om de eerder 15 berekende verhouding te bereiken; en c) voorstellen van een wijziging van de dataset om de berekende verhouding van de eerste soort en de tweede soort in de betrokken dataset te bewerkstelligen.Method according to claim 5, wherein a first spread value and / or a first spread range and a first growth value and / or first growth value range is related to the first type and a second spread value and / or a second spread range and a second growth value and / or second growth value range is related to the second type, the method further comprising: a) receiving a data set input profile which data set input profile is related to at least one target for a parameter of at least one of the data sets; b) determining a ratio of the first type and the second type in the data set to achieve or optimally approach the goal; Calculating a change to the data set involved to achieve the previously calculated ratio; and c) proposing a change to the data set to achieve the calculated ratio of the first type and the second type in the data set concerned. 7. Werkwijze volgens conclusie 5, waarbij elk element een intrinsieke waarde heeft welke variabel is door de tijd, de werkwijze verder omvattende: a) berekenen van een spreidingswaarde en een groeiwaarde van ten minste een element of van de groep van elementen over een vooraf bepaalde tijdsbestek, welke welke spreidingswaarde en groeiwaarde 25 respectievelijk de spreiding van de intrinsieke waarde van het element en de groei van de intrinsieke waarde van het element representeren. f b) toewijzen van het element of de groep van elementen aan de eerste groep, de tweede groep of geen van beide, afhankelijk van de berekende spreidingswaarde en/of de berekende groeiwaarde. 30The method of claim 5, wherein each element has an intrinsic value that is variable over time, the method further comprising: a) calculating a spreading value and a growth value of at least one element or of the group of elements over a predetermined time frame, which represent which spread value and growth value, respectively the spread of the intrinsic value of the element and the growth of the intrinsic value of the element. f b) assigning the element or group of elements to the first group, the second group or neither of them, depending on the calculated spread value and / or the calculated growth value. 30 8. Werkwijze volgens conclusie 7, de werkwijze verder omvattende: a) classificeren van elementen in klassen gebaseerd op ten minste een eigenschap van het element; b) berekenen van een spreidingswaarde en een groeiwaarde per 35 klasse; en c) toewijzen van een klasse van elementen aan de eerste soort, de tweede soort of geen van beide afhankelijk van de berekende j spreidingswaarde en/of de berekende groeiwaarde.The method of claim 7, the method further comprising: a) classifying elements into classes based on at least one property of the element; b) calculating a spread value and a growth value per class; and c) assigning a class of elements to the first type, the second type or neither of them depending on the calculated spread value and / or the calculated growth value. 9. Werkwijze volgens conclusie 8, waarin de spreidingswaarde en de groeiwaarde van een klasse zijn berekend als de spreiding en de groei van de gemiddelde intrinsieke waarde van elementen in de klasse.The method of claim 8, wherein the spread value and the growth value of a class are calculated as the spread and the growth of the average intrinsic value of elements in the class. 10. Computer geprogrammeerd om de een werkwijze voor voor het 10 actualiseren van een eerste dataset en een tweede dataset uit te voeren, waarbij elke dataset elementen omvat die zijn toegewezen aan een eerste soort of aan een tweede soort, de werkwijze omvattende: a) ontvangen van ten minste twee verzoeken voor het actualiseren van een dataset, welke verzoeken zijn gerelateerd aan het 15 actualiseren van elementen toegewezen aan ten minste een soort en ten minste een betrokken dataset; b) actualiseren van de inhoud van de betrokken dataset; c) berekenen van de netto verandering van elementen in de betrokken dataset; 20 d) opslaan van de netto verandering van elementen in de betrokken dataset; en e) verzenden van instructies om de resulterende netto verandering van elementen in de betrokken dataset uit te voeren. 15 Claims:10. Computer programmed to perform a method for updating a first data set and a second data set, wherein each data set comprises elements assigned to a first type or to a second type, the method comprising: a) receiving of at least two requests for updating a data set, which requests are related to updating elements assigned to at least one type and at least one data set involved; b) updating the content of the relevant dataset; c) calculating the net change of elements in the relevant data set; D) storing the net change of elements in the relevant data set; and e) sending instructions to perform the resulting net change of elements in the data set involved. 15 Claims:
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EP0720110A2 (en) * 1994-12-26 1996-07-03 Mitsui Petrochemical Industries, Ltd. Method and apparatus for controlling polyolefine resin production plant
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Publication number Priority date Publication date Assignee Title
US5265222A (en) * 1989-11-27 1993-11-23 Hitachi, Ltd. Symbolization apparatus and process control system and control support system using the same apparatus
EP0720110A2 (en) * 1994-12-26 1996-07-03 Mitsui Petrochemical Industries, Ltd. Method and apparatus for controlling polyolefine resin production plant
EP1172749A2 (en) * 2000-06-09 2002-01-16 Hitachi Ltd. Method and system for comprehensive management of chemical materials

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