CN111506029A - Resource allocation method and device - Google Patents
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- G05B19/00—Programme-control systems
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Abstract
A resource allocation method and device comprises a control base value and a control module, wherein the control module enables the control base value to fluctuate within a control upper limit range and/or a control lower limit range, and the control module at least comprises a set fluctuation parameter and a preset fluctuation parameter; the preset fluctuation parameters are obtained according to static analysis, and the preset fluctuation parameters are obtained according to dynamic analysis. The method and the device have the advantages that the preset fluctuation parameters are obtained, so that the preference of the control system can be considered in the control process, a certain prediction effect can be realized due to the fact that the preference of the control system is considered, and excessive fluctuation of the control basic value is avoided.
Description
Technical Field
The application relates to a resource allocation method and device.
Background
In order to better configure resources, avoid causing excessive expenditure of resources and damage to carriers of the resources or secondary disasters, the fluctuation degree of the resources needs to be controlled. Such control is not only in the industrial field, but also in the financing and investment fields.
The current industrial field generally adopts a mode such as P L C control to control specific parameters, the control is essentially unidirectional control, and adopts a static parameter observation and static parameter control method, which has great limitation, poor stability and poor predictive control performance.
Disclosure of Invention
In order to solve the above problems, an aspect of the present application provides a resource allocation method, including a control base value and a control module, where the control module makes the control base value fluctuate within a control upper limit and/or a control lower limit, and the control module at least includes a set fluctuation parameter and a predetermined fluctuation parameter; the preset fluctuation parameters are obtained according to static analysis, and the preset fluctuation parameters are obtained according to dynamic analysis. The method and the device have the advantages that the preset fluctuation parameters are obtained, so that the preference of the control system can be considered in the control process, a certain prediction effect can be realized due to the fact that the preference of the control system is considered, and excessive fluctuation of the control basic value is avoided. The control base value y, the initial value x of the control base value, sets the fluctuation parameter a, and the predetermined fluctuation parameter b has a functional relationship of y ═ f (x, a, b), and more specifically, the functional relationship may be set to y ═ x (1+ a) (1+ b).
Preferably, the static analysis is an analysis based on a control parameter at an analysis time point.
Preferably, the dynamic analysis is a predictive analysis based on a control contribution fluctuation preference.
Specifically, the static analysis of the present application is an effect that can be achieved or desired by the original control parameters, and the dynamic analysis refers to the control parameters of tendency nature obtained by historical data, control preferences of the control system itself, and the like. For example, in the process of liquid level control, static control is a relatively fixed control process, and for example, if the liquid level is too high, the static control can be obtained by reducing feeding or increasing discharging; the dynamic control also needs to reduce the fluctuation situation of the liquid level in the historical data, including the speed of the fluctuation, the time frequency of the rising or falling, and the like.
Preferably, the system also comprises an early warning mechanism, and when the control base value is not in the control upper limit range and/or the control lower limit range, early warning processing is carried out; and giving the time for the control base value to return to the control upper limit and/or the control lower limit range according to the control method of the current control module. The early warning mechanism is a processing mode when the control basic value is not in a preset range, a general control system is a parameter adjusting system in nature, but the early warning mechanism is not used for enabling the control basic value not to fluctuate or fluctuate little but keeping stability, and the control process is enabled to be in relatively smooth and relatively controllable transition as far as possible no matter whether the control upper limit and/or the control lower limit are exceeded or not.
Preferably, the control system further comprises a base value correction parameter, wherein the base value correction parameter is used for correcting the change of the control base value. The basic value correction parameter is mainly used for carrying out invasive form modification on the control basic value after the control basic value is changed, so that the existing condition can be better represented. For example, in the control process, the control basic value needs to be changed, or in the asset allocation, the problems of retirement, lost operation, investment failure and the like are generated.
Preferably, the predetermined fluctuation parameter modifies the parameter follow-up setting with the base value.
Preferably, the control base value is a physical control parameter, the set fluctuation parameter is a fluctuation condition obtained according to a preset external control parameter, and the predetermined fluctuation parameter is obtained by analyzing a history of fluctuation of the physical control parameter.
Preferably, the control base value is total assets, the set fluctuation parameter is an expected fluctuation generated by the existing total assets, and the preset fluctuation parameter is a predicted fluctuation parameter formed by the investment tendency of the total assets; the total asset comprises a plurality of sub-assets which are added to obtain the total asset.
Preferably, the system also comprises an early warning mechanism, and when the control base value is not in the control upper limit range and/or the control lower limit range, early warning processing is carried out; and giving out the time for the control base value to return to the control upper limit and/or the control lower limit range or giving out a new preset fluctuation parameter according to the control method of the existing control module, and giving out the time for the control base value to return to the control upper limit and/or the control lower limit range according to the new preset fluctuation parameter. After the early warning is adopted, the fluctuation is reduced by setting a new preset fluctuation parameter, so that an entrance for asset redistribution is provided, and secondary redistribution is carried out.
In another aspect, a resource allocation apparatus includes a base value obtaining module, configured to obtain a control base value;
the control module is used for acquiring a set fluctuation parameter and a preset fluctuation parameter and enabling the control basic value to fluctuate in the control upper limit range and/or the control lower limit range;
the early warning module is used for carrying out early warning processing when the control base value is not in the control upper limit range and/or the control lower limit range; giving the time for the control base value to return to the control upper limit and/or the control lower limit range according to the control method of the existing control module;
and the base value correction module is used for correcting the control base value.
On the other hand, a resource allocation device is also provided,
this application can bring following beneficial effect:
1. the method and the device have the advantages that through the acquisition of the preset fluctuation parameters, the preference of the control system can be considered in the control process, and the preference of the control system is considered, so that a certain prediction effect can be realized, and the control base value is prevented from being excessively fluctuated;
2. the early warning mechanism is a processing mode when the control base value is not in a preset range, a general control system is essentially a parameter adjusting system, but the early warning mechanism does not ensure that the control base value does not fluctuate or fluctuates little but keeps a stability, and the control process is enabled to carry out relatively smooth and relatively controllable transition as far as possible no matter whether the control upper limit and/or the control lower limit are exceeded or not;
3. the base value correction parameter is mainly used for modifying the control base value in an intrusive mode after the control base value is changed, so that the existing condition is better represented. If in the control process, the control base value needs to be changed, or problems of retirement, lost operation, investment failure and the like are caused in asset allocation;
4. in the aspect of asset allocation, after early warning, the method reduces fluctuation by setting a new preset fluctuation parameter, and aims to provide an entry for asset redistribution and perform secondary redistribution.
Detailed Description
In order to clearly illustrate the technical features of the present solution, the present application will be explained in detail through the following embodiments.
In the first embodiment, the application is used for liquid level control, firstly, a control base value to be controlled, namely a liquid level height is obtained, then, a set fluctuation parameter is obtained according to an existing control mode regardless of a P L C control mode or other types of control modes, then, a change rule of the originally controlled control parameter is analyzed, a preset fluctuation parameter is obtained, a control base value y, an initial value x of the control base value, a fluctuation parameter a and a preset fluctuation parameter b are obtained, the control base value y is calculated according to the following formula, wherein y is x (1+ a) (1+ b), an upper control limit L is obtained, a lower control limit is L, if y is larger than L or smaller than L, an early warning mechanism is started according to the setting, two processing modes are provided, the first mode is to continuously carry out the control mode of y being x (1+ a) (1+ b), and the time of y reaching L-L is predicted, and the time of y reaching the new time of the evolution between y and y reaching 3625-8678 can be predicted by changing the preset parameter b.
If the initial value x of the control base value is changed, such as the water container changes, and the control base value at the moment is kept unchanged, the first choice is to change the predetermined fluctuation parameter b, but the predetermined fluctuation parameter b is a parameter following the preference of the system, so the change mode is a mode of enhancing and changing the preference or reversing the preference.
In a second embodiment, applying the application to the family property configuration, the client can acquire four groups of data by filling in the property configuration evaluation questionnaire module, which are: investment risk assessment data, home asset income data, home insurance support data, and home consumption expenditure data.
1. Collecting and analyzing investment risk evaluation data: the method comprises the steps of respectively giving a certain score (value is 1-10) to each answer option through collecting answers to questions such as client age, investment preference, investment time, investment experience, investment purpose, risk bearing capacity and the like, and then adding and summing the assigned scores to obtain basic data M.
(1) Evaluation to determine client investment Risk Attribute (data M)
Setting "0, m1, m2, m3, m4, 100" as the grading scores of "conservative, robust, balanced, growing, aggressive" five investment styles, then:
m ═ if (and (M4, M < > 100), "aggressive type", if (and (M3, M < ═ M4), "growing type", if (and (M2, M < ═ M3), "balanced type", if (and (M1, M < ═ M2), "robust type", if (and (M0, M < ═ M1), "conservative type", "data error")))));
thereby measuring the investment risk attribute category of the client.
(2) And according to the client investment risk attribute category M, evaluating and analyzing the product categories suitable for investment of the client.
The product categories are set as follows: after the weight assignment is carried out on n1-n5, detailed diagnosis is carried out on the existing investment structure and product category of a client, wherein the detailed diagnosis comprises two parts, namely different product type characteristic description and specific product suggestion, and reasonable correction suggestion is proposed.
2. Collecting and analyzing the household asset income data: by making statistics of different categories of assets existing in the client's family, e.g. financial assets (Category x)11、x12、x13 … … x19), physical assets (Category x)110、x111、x112……x118) Intangible assets (Category x)119、x120) And other assets (x)121) Plus customer household revenue (category x)122、x123) Co-composition, final x1Is x11、x12、x13……x123, respectively. According to x11、x12、x13 … … the average market yield can be obtained by setting the fluctuation parameter a1。
In the process, the resources are producedDepreciation of the body, change in market trend, x1Is itself a variable value, which is mainly determined by a1Changes with time are shown in a1Simultaneously with the change, causing a change in y;
in the process, along with the continuous change of the market, the continuous change of x, the change of the structural proportion of x1, x2, x3 … … x23 and the change of the investment style M, the growth period permission, the investment experience and the profitability of the client to x, x1, x2 and x3 … are also properly changed, and the change is reflected in the preset fluctuation parameter b1。
In this process, x11、x12、x13……x123, the change data of the structural proportion is embodied as a base value correction parameter c1。
3. Collecting and analyzing the data of the household consumption expenditure: statistics are carried out by classifying the existing different types of consumption expenditure items of the client family, such as clothes, food, live, row, use and medical … … insurance (classification x)21、x22、x23……x227) Co-composition, final x2Is x21、x22、x23……x227 is added. According to the existing x21、x22、x23……x227, a set fluctuation parameter a can be obtained2。
In the process, the family structure, the age of the family member, the consumption habit, the accident, x1Is influenced by factors such as change of (a), x21、x22、x23……x227 may also exhibit some variation in the structural ratios that may cause customer-to-x pairs21、x22、x23……x227, also causes a change in y, represented by a predetermined fluctuation parameter b2。
In this process, x21、x22、x23……x227, embodied as a base value correction parameter c2。
In this case, y ═ x (1+ a) (1+ b) can be represented by:
y＝x1(c1)(1+a1)(1+b1)-x2(c2)(1+a2)(1+b2)。
4. if the assets are lost or retired, an emergency event occurs, and the income and the expense are directly destroyed by a sub-category, the parameter c (c) needs to be corrected by the base value1/c2) To correct x, then calculated y is mutated to verify if it is between L1-L2. if it is not between L1-L2, then b (b) needs to be adjusted1/b2) I.e. adjusting personal preferences to bring about a change in return on investment to bring y between L1-L2, of course, since a also changes over time, b can be adjusted in conjunction with its effect on y, so that y falls smoothly between L1-L2 or b is not adjusted, but only a is relied on to fall between L1-L2, and the time required to recover to the interval L1-L2 is calculated.
In a third embodiment, a resource allocation apparatus includes a base value obtaining module, configured to obtain a control base value; the control module is used for acquiring a set fluctuation parameter and a preset fluctuation parameter and enabling the control basic value to fluctuate in the control upper limit range and/or the control lower limit range; the early warning module is used for carrying out early warning processing when the control base value is not in the control upper limit range and/or the control lower limit range; giving the time for the control base value to return to the control upper limit and/or the control lower limit range according to the control method of the existing control module; and the base value correction module is used for correcting the control base value.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method for resource allocation, comprising: the control module enables the control base value to fluctuate within the control upper limit and/or the control lower limit range, and the control module at least comprises a set fluctuation parameter and a preset fluctuation parameter; the preset fluctuation parameters are obtained according to static analysis, and the preset fluctuation parameters are obtained according to dynamic analysis.
2. The method of claim 1, wherein: the static analysis is an analysis based on the control parameters at the analysis time point.
3. The method of claim 1, wherein: the dynamic analysis is predictive analysis based on control floor fluctuation preferences.
4. The method of claim 1, wherein: the early warning mechanism is used for carrying out early warning processing when the control base value is not in the control upper limit range and/or the control lower limit range; and giving the time for the control base value to return to the control upper limit and/or the control lower limit range according to the control method of the current control module.
5. The method of claim 1, wherein: the device also comprises a basic value correction parameter which is used for correcting the change of the control basic value.
6. The method of claim 5, wherein: and the preset fluctuation parameter is corrected with the base value to set the parameter follow-up.
7. The method of claim 1, wherein: the control base value is a physical control parameter, the set fluctuation parameter is a fluctuation condition obtained according to a preset external control parameter, and the preset fluctuation parameter is obtained by analyzing a historical record of the fluctuation of the physical control parameter.
8. The method of claim 1, wherein: the control base value is total assets, the set fluctuation parameter is expected fluctuation generated by the existing total assets, and the preset fluctuation parameter is a fluctuation parameter obtained by prediction formed by investment tendency of the total assets; the total asset comprises a plurality of sub-assets which are added to obtain the total asset.
9. The method of claim 8, wherein: the early warning mechanism is used for carrying out early warning processing when the control base value is not in the control upper limit range and/or the control lower limit range; and giving out the time for the control base value to return to the control upper limit and/or the control lower limit range or giving out a new preset fluctuation parameter according to the control method of the existing control module, and giving out the time for the control base value to return to the control upper limit and/or the control lower limit range according to the new preset fluctuation parameter.
10. A resource allocation apparatus, characterized in that: the device comprises a basic value acquisition module, a control module and a control module, wherein the basic value acquisition module is used for acquiring a control basic value;
the control module is used for acquiring a set fluctuation parameter and a preset fluctuation parameter and enabling the control basic value to fluctuate in the control upper limit range and/or the control lower limit range;
the early warning module is used for carrying out early warning processing when the control base value is not in the control upper limit range and/or the control lower limit range; giving the time for the control base value to return to the control upper limit and/or the control lower limit range according to the control method of the existing control module;
and the base value correction module is used for correcting the control base value.
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