CN116700968A - Intelligent interaction system based on elastic expansion - Google Patents
Intelligent interaction system based on elastic expansion Download PDFInfo
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Abstract
The invention relates to the technical field of intelligent interaction, in particular to an intelligent interaction system based on elastic expansion, which comprises: the interaction module is used for interacting different types of data; the data acquisition module is connected with the interaction module and used for acquiring interaction characteristic parameters; the data processing module is connected with the acquisition module and is used for obtaining the keyword quantity proportion of the feedback data, the quantity proportion of the non-feedback data and the non-running reference memory proportion of the interaction characteristic parameters in a statistical calculation mode; the central control module is used for adjusting the number of the keyword retrieval types to the corresponding number according to the number proportion of the keywords, and adjusting the data updating frequency to the corresponding data updating frequency according to the number proportion of the feedback-free data.
Description
Technical Field
The invention relates to the technical field of intelligent interaction, in particular to an intelligent interaction system based on elastic expansion.
Background
Along with the progress of society, the channel of information acquisition by technological development people becomes diversified, but the existing information is redundant and difficult to distinguish whether to be critical or not, and when a plurality of people search at the same time, the situation that the search efficiency is low due to too long delay time is easy to occur.
Chinese patent publication No.: CN111652620a discloses an intelligent terminal interaction system, which comprises a payment recognition module, a voice interaction module, an intelligent shopping guide module and a user terminal; the payment identification module is used for identifying user information through payment of the commodity purchased by the user; the voice interaction module is used for carrying out voice dialogue with a user, after the voice command of the user is sent out, converting the voice command into a word command, and sending the word command and the user information to the intelligent shopping guide module; the intelligent shopping guide module is used for acquiring shopping information of the user according to the user information, predicting a future shopping list of the user through comparison and intelligent analysis of the shopping information, matching coupons, and recommending the shopping information to the user according to a text instruction; the user side is used for displaying recommended shopping information. It follows that the intelligent interactive system has the following problems: and the problems of low information acquisition accuracy, low acquisition efficiency and the like of the interaction system caused by less keyword feedback and high interaction delay are solved.
Disclosure of Invention
Therefore, the invention provides an intelligent interaction system based on elastic expansion, which is used for solving the problems of low information acquisition accuracy and low acquisition efficiency of the interaction system caused by less keyword feedback and high interaction delay in the prior art.
In order to achieve the above object, the present invention provides an intelligent interaction system based on elastic expansion, comprising: the interaction module is used for interacting different types of data; the data acquisition module is connected with the interaction module and is used for acquiring interaction characteristic parameters, wherein the interaction characteristic parameters comprise: the method comprises the steps of feeding back the keyword number of data, the number of feedback-free data, the interaction speed and the actual running memory of threads; the data processing module is connected with the acquisition module and is used for obtaining the keyword quantity proportion of the feedback data, the quantity proportion of the non-feedback data and the non-running reference memory proportion of the interaction characteristic parameters in a statistical calculation mode; the central control module is respectively connected with the interaction module, the data acquisition module and the data processing module and is used for adjusting the number proportion of the keyword retrieval types to the corresponding number proportion according to the number proportion of the keywords, adjusting the data updating frequency to the corresponding data updating frequency according to the number proportion of the feedback-free data, adjusting the number of the virtual machines to the corresponding value according to the actual interaction speed and adjusting the running duration of the standard thread to the corresponding duration according to the non-running reference memory proportion.
Further, the central control module judges whether the interaction effectiveness is within an allowable range according to the quantity ratio Q of the keywords, a preset first quantity ratio Q1 and a preset second quantity ratio Q2 are arranged in the central control module, wherein Q1 is smaller than Q2,
if Q is less than or equal to Q1, the central control module judges that the effectiveness of interaction is lower than an allowable range, and preliminarily judges that the integrity of the searched content is lower than the allowable range, and judges whether the integrity of the searched content is lower than the allowable range for the second time according to the proportion of feedback-free data;
if Q1 is more than Q and less than or equal to Q2, the central control module judges that the effectiveness of interaction is lower than an allowable range, calculates a difference DeltaQ between the quantity ratio Q of the keywords and a preset first quantity ratio Q1, adjusts the quantity ratio of the keyword search types to the corresponding quantity ratio according to DeltaQ, and sets DeltaQ=Q-Q1;
if Q is more than Q2, the central control module judges that the number of keywords is within the allowable range, and controls the interaction module to operate according to preset operation parameters.
Further, the central control module adjusts the keyword search type quantity duty ratio to the corresponding quantity duty ratio according to the difference delta Q between the keyword quantity duty ratio Q and the preset first quantity duty ratio Q1, the central control module is provided with a preset first quantity adjustment coefficient alpha 1, a preset second quantity adjustment coefficient alpha 2, a preset first duty ratio difference delta Q1, a preset second duty ratio difference delta Q2 and a preset standard keyword search type quantity duty ratio A0, wherein 1 < alpha 2, delta Q1 < [ delta ] Q2,
if delta Q is less than or equal to delta Q1, the central control module adjusts the number of the keyword retrieval types to A0;
if DeltaQ 1 < DeltaQis less than or equal to DeltaQ 2, the central control module judges that the standard keyword quantity A0 is regulated by using a preset first quantity regulation coefficient alpha 1;
if DeltaQ > DeltaQ2, the central control module judges that the standard keyword quantity A0 is regulated by using a preset second quantity regulation coefficient alpha 2;
when the central control module uses alpha i to adjust the number of standard keywords, i=1 and 2 are set, the adjusted number of standard keywords is marked as A ', and A' =A0× (1+alpha i)/2 is set.
Further, the central control module carries out secondary judgment on whether the integrity of the search content is lower than the allowable range according to the non-feedback data duty ratio P, the central control module is provided with a preset non-feedback data duty ratio P0,
if P is less than or equal to P0, the central control module judges that the feedback-free data duty ratio is within an allowable range, and controls the interaction module to operate according to preset operation parameters;
if P > P0, the central control module determines that the feedback-free data duty ratio exceeds the allowable range, and adjusts the data update frequency to the corresponding standard data update frequency according to the difference Δp between the feedback-free data duty ratio P and the preset feedback-free data duty ratio P0, and sets Δp=p-P0.
Further, the central control module adjusts the data updating frequency to the corresponding updating frequency according to the difference delta P between the non-feedback data duty ratio P and the preset non-feedback data duty ratio P0, the central control module is provided with a preset first frequency adjusting coefficient beta 1, a preset second frequency adjusting coefficient beta 2, a preset first non-feedback data duty ratio difference delta P1, a preset second non-feedback data duty ratio difference delta P2 and a preset standard data updating frequency H0, wherein, 1 is less than beta 1 and less than beta 2, delta P1 is less than delta P2,
if delta P is less than or equal to delta P1, the central control module adjusts the standard data updating frequency to H0;
if delta P1 is less than delta P2, the central control module judges that the standard data updating frequency H0 is adjusted by a preset first frequency adjusting coefficient beta 1;
if delta P > -delta P2, the central control module judges that the standard data updating frequency H0 is adjusted by a preset second frequency adjusting coefficient beta 2;
when the central control module adjusts the standard data updating frequency by using beta j, j=1 and 2 are set, the adjusted standard data updating frequency is marked as H ', and H' =H20×beta j is set.
Further, the central control module judges whether the interaction speed is within the allowable range according to the interaction time S, the central control module is provided with a preset first interaction time S1 and a preset second interaction time S2, wherein S1 is smaller than S2,
if S is less than or equal to S1, the central control module judges that the interaction speed is within an allowable range and controls the interaction module to operate according to preset operation parameters;
if S1 is more than S and less than or equal to S2, the central control module judges that the interaction speed exceeds the allowable range, primarily judges that the thread segmentation degree exceeds the allowable range, and judges whether the thread segmentation degree is in the allowable range or not secondarily according to the duty ratio of the non-running reference memory;
if S > S2, the central control module determines that the interaction speed exceeds the allowable range, determines that the expandable capacity is lower than the allowable range, and adjusts the number of virtual machines to a corresponding number according to a difference Δs between the interaction time S and a preset second interaction time S2, and sets Δs=s-S2.
Further, the central control module adjusts the number of virtual machines to a corresponding number according to the difference DeltaS between the interaction time S and the preset second interaction time S2, the central control module is provided with a preset first number adjusting coefficient gamma 1, a preset second number adjusting coefficient gamma 2, a preset first time difference DeltaS 1, a preset second time difference DeltaS 2 and a preset standard virtual machine number F0, wherein, delta1 < gamma 2 < 1, deltaS 1 < DeltaS2,
if delta S is less than or equal to delta S1, the central control module adjusts the number of the standard virtual machines to F0;
if DeltaS 1 < DeltaSis less than or equal to DeltaS 2, the central control module judges that the number F0 of the standard virtual machines is regulated by a preset first number regulating coefficient gamma 1;
if DeltaS > DeltaS2, the central control module judges that the standard virtual machine quantity F0 is regulated by a preset second quantity regulation coefficient gamma 2;
when the central control module adjusts the number of the standard virtual machines by using γk, setting k=1, 2, marking the adjusted number of the standard virtual machines as F ', and setting F' =F0× (1+γk).
Further, the central control module secondarily judges whether the thread segmentation degree is within the allowable range according to the ratio of the non-running reference memory, the central control module is provided with a preset ratio R0 of the non-running reference memory,
if R is less than or equal to R0, the central control module secondarily judges that the thread segmentation degree is within an allowable range and controls the interaction module to operate according to preset operation parameters;
if R > R0, the central control module secondarily determines that the thread segmentation degree is beyond the allowable range, and adjusts the standard thread operation duration to a corresponding operation duration according to a difference Δr between the ratio of the non-operation reference memory R and the preset ratio of the non-operation reference memory R1, and sets Δr=r-R0.
Further, the calculation formula of the non-running reference memory ratio is as follows:
wherein R is the duty ratio of the non-running reference memory, G1 is the memory in the reference state but the thread is not running, and G2 is the actual running memory of the thread.
Further, the central control module adjusts the standard thread operation time to the corresponding operation time according to the difference DeltaR between the non-operation reference memory duty ratio R and the preset first non-operation reference memory duty ratio R1, wherein the central control module is provided with a preset first memory duty ratio difference DeltaR 1, a preset second memory duty ratio difference DeltaR 2, a preset first operation time adjustment coefficient Delta1, a preset second operation time adjustment coefficient Delta2 and a preset standard thread operation time T0, deltaR 1 < DeltaR2, 0 < Delta1 < Delta2 < 1,
if the delta R is less than or equal to delta R1, the central control module adjusts the running time of the standard thread to T0;
if DeltaR 1 < DeltaR2 is less than or equal to DeltaR 2, the central control module judges that the standard thread running time T0 is regulated by a preset first time regulating coefficient delta 1;
if DeltaR > DeltaR2, the central control module judges that the standard thread running time T0 is regulated by a preset second time regulating coefficient delta 2;
when the central control module uses δg to adjust the standard thread running time length, g=1, 2 is set, the adjusted standard thread running time length is marked as T ', and T' =t0× (1- δg) is set.
Compared with the prior art, the system has the beneficial effects that by arranging the interaction module, the data acquisition module, the data processing module and the central control module and adjusting the number proportion of the keyword retrieval types to the corresponding proportion according to the number proportion of the keywords, the influence on interaction accuracy due to inaccurate adjustment of the number proportion of the keyword retrieval types is reduced; the data updating frequency is adjusted to the corresponding updating frequency according to the quantity proportion of the feedback-free data, so that the influence on interaction accuracy due to low updating frequency is reduced; the number of the virtual machines is adjusted to a corresponding value according to the actual interaction speed, so that the problem of low expandable capacity caused by insufficient number of the virtual machines is solved; the ratio of the non-running reference memory adjusts the running time of the standard thread to the corresponding time, so that the delay time caused by the excessively high ratio of the non-running reference memory is reduced; the accuracy and the acquisition efficiency of information acquisition by using the interactive system are improved.
Further, the intelligent interaction system of the invention sets the preset first number duty ratio and the preset second number duty ratio, and the central control module judges whether the interaction effectiveness is within the allowable range according to the number duty ratio of the keywords, so that the loss of the interaction effectiveness caused by the lack of the keywords is reduced, and the accuracy and the acquisition efficiency of information acquisition by using the interaction system are further improved.
Furthermore, the intelligent interactive system of the invention sets the preset first quantity adjustment coefficient, the preset second quantity adjustment coefficient, the preset first duty ratio difference value, the preset second duty ratio difference value and the preset standard keyword retrieval type quantity duty ratio, and the central control module adjusts the preset standard keyword retrieval type quantity duty ratio through the comparison of the duty ratio difference values, thereby improving the effectiveness of the interactive system and further improving the accuracy and the acquisition efficiency of information acquisition by using the interactive system.
Furthermore, the intelligent interaction system of the invention judges whether the update frequency of the data is within the allowable range according to the preset feedback-free data duty ratio by the central control module, thereby reducing the untimely information acquisition caused by the feedback of the data and further improving the accuracy and the acquisition efficiency of information acquisition by using the interaction system.
Furthermore, the intelligent interaction system of the invention sets the preset first frequency adjustment coefficient, the preset second frequency adjustment coefficient, the preset first feedback-free data duty ratio difference value, the preset second feedback-free data duty ratio difference value and the preset standard data updating frequency, and the central control module correspondingly adjusts the standard data updating frequency through comparison of the feedback-free data duty ratio difference value, so that the accuracy and the acquisition efficiency of information acquisition by using the interaction system are further improved.
Furthermore, the intelligent interaction system of the invention sets the preset first interaction time and the preset second interaction time, and the central control module judges whether the interaction speed is within the allowable range according to the interaction time, so that the condition of low information acquisition efficiency caused by the fact that the interaction time exceeds the allowable range is reduced, and the accuracy and the acquisition efficiency of acquiring information by using the interaction system are further improved.
Furthermore, the intelligent interaction system of the invention sets the preset first quantity adjustment coefficient, the preset second quantity adjustment coefficient, the preset first time difference value, the preset second time difference value and the preset standard virtual machine quantity, and the central control module increases the standard virtual machine quantity according to the comparison of the time difference values, so that the accuracy and the acquisition efficiency of information acquisition by using the interaction system are further improved.
Furthermore, the intelligent interaction system of the invention sets the preset non-running reference memory duty ratio, and the central control module makes a secondary judgment on whether the thread segmentation degree is within the allowable range according to the non-running reference memory duty ratio, so that the interaction speed exceeding the allowable range caused by the overlarge non-running reference memory duty ratio is reduced, and the accuracy and the acquisition efficiency of information acquisition by using the interaction system are further improved.
Further, the intelligent interaction system of the invention sets the preset first memory duty ratio difference value, the preset second memory duty ratio difference value, the preset first operation duration adjustment coefficient, the preset second operation duration adjustment coefficient and the preset standard thread operation duration, and the central control module adjusts the standard thread operation duration according to the comparison of the difference values, thereby improving the actual operation memory duty ratio of the threads, accelerating the interaction speed and further improving the accuracy and the acquisition efficiency of information acquisition by using the interaction system.
Drawings
FIG. 1 is a block diagram of the whole structure of an intelligent interaction system based on elastic expansion according to an embodiment of the invention;
FIG. 2 is a block diagram of a data acquisition module of an intelligent interaction system based on elastic expansion according to an embodiment of the present invention;
FIG. 3 is a block diagram of a connection structure of a data acquisition module and a central control module of an intelligent interaction system based on elastic expansion according to an embodiment of the present invention;
fig. 4 is a block diagram of a connection structure of a data acquisition module, a central control module, an interaction module and a data acquisition module of the intelligent interaction system based on elastic expansion according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
Referring to fig. 1, fig. 2, fig. 3, and fig. 4, the overall structure block diagram, the data acquisition module structure block diagram, the connection structure block diagram of the data acquisition module and the central control module, and the connection structure block diagram of the data acquisition module and the central control module, the interaction module, and the data acquisition module of the intelligent interaction system based on elastic expansion according to the embodiments of the present invention are shown respectively; the embodiment of the invention discloses an intelligent interaction system based on elastic expansion, which comprises the following components:
the interaction module is used for interacting different types of data;
the data acquisition module is connected with the interaction module and is used for acquiring interaction characteristic parameters, wherein the interaction characteristic parameters comprise: the method comprises the steps of feeding back the keyword number of data, the number of feedback-free data, the interaction speed and the actual running memory of threads;
the data processing module is connected with the acquisition module and is used for obtaining the keyword quantity proportion of the feedback data, the quantity proportion of the non-feedback data and the non-running reference memory proportion of the interaction characteristic parameters in a statistical calculation mode;
the central control module is respectively connected with the interaction module, the data acquisition module and the data processing module and is used for adjusting the number proportion of the keyword retrieval types to the corresponding number proportion according to the number proportion of the keywords, adjusting the data updating frequency to the corresponding data updating frequency according to the number proportion of the feedback-free data, adjusting the number of the virtual machines to the corresponding value according to the actual interaction speed and adjusting the running duration of the standard thread to the corresponding duration according to the non-running reference memory proportion.
Specifically, the data acquisition module includes:
the calling component is connected with the interaction module and used for calling the quantity of feedback-free data and the quantity of keywords of the feedback data in the interaction module;
and the real-time acquisition component is connected with the interaction module and is used for acquiring the interaction speed of the interaction process and the actual running memory of the thread in the unit period.
According to the system, the interaction module, the data acquisition module, the data processing module and the central control module are arranged, and the quantity proportion of the keyword retrieval types is adjusted to the corresponding proportion according to the quantity proportion of the keywords, so that the influence on interaction accuracy due to inaccurate adjustment of the quantity proportion of the keyword retrieval types is reduced; the data updating frequency is adjusted to the corresponding updating frequency according to the quantity proportion of the feedback-free data, so that the influence on interaction accuracy due to low updating frequency is reduced; the number of the virtual machines is adjusted to a corresponding value according to the actual interaction speed, so that the problem of low expandable capacity caused by insufficient number of the virtual machines is solved; the ratio of the non-running reference memory adjusts the running time of the standard thread to the corresponding time, so that the delay time caused by the excessively high ratio of the non-running reference memory is reduced; the accuracy and the acquisition efficiency of information acquisition by using the interactive system are improved.
Further, the central control module judges whether the interaction effectiveness is within an allowable range according to the quantity ratio Q of the keywords, a preset first quantity ratio Q1 and a preset second quantity ratio Q2 are arranged in the central control module, wherein Q1 is smaller than Q2,
if Q is less than or equal to Q1, the central control module judges that the effectiveness of interaction is lower than an allowable range, and preliminarily judges that the integrity of the searched content is lower than the allowable range, and judges whether the integrity of the searched content is lower than the allowable range for the second time according to the proportion of feedback-free data;
if Q1 is more than Q and less than or equal to Q2, the central control module judges that the effectiveness of interaction is lower than an allowable range, calculates a difference DeltaQ between the quantity ratio Q of the keywords and a preset first quantity ratio Q1, adjusts the quantity ratio of the keyword search types to the corresponding quantity ratio according to DeltaQ, and sets DeltaQ=Q-Q1;
if Q is more than Q2, the central control module judges that the number of keywords is within the allowable range, and controls the interaction module to operate according to preset operation parameters.
Specifically, the calculation formula of the number of keywords to the ratio is:
wherein q is the number of keywords in the feedback data, q Total (S) Is the total amount of feedback data.
According to the intelligent interaction system, the preset first quantity ratio and the preset second quantity ratio are set, the central control module judges whether the interaction effectiveness is within the allowable range according to the quantity ratio of the keywords, loss of the interaction effectiveness caused by lack of the keywords is reduced, and accuracy and efficiency for acquiring information by using the interaction system are further improved.
Further, the central control module adjusts the keyword search type quantity duty ratio to the corresponding quantity duty ratio according to the difference delta Q between the keyword quantity duty ratio Q and the preset first quantity duty ratio Q1, the central control module is provided with a preset first quantity adjustment coefficient alpha 1, a preset second quantity adjustment coefficient alpha 2, a preset first duty ratio difference delta Q1, a preset second duty ratio difference delta Q2 and a preset standard keyword search type quantity duty ratio A0, wherein 1 < alpha 2, delta Q1 < [ delta ] Q2,
if delta Q is less than or equal to delta Q1, the central control module adjusts the number of the keyword retrieval types to A0;
if DeltaQ 1 < DeltaQis less than or equal to DeltaQ 2, the central control module judges that the standard keyword quantity A0 is regulated by using a preset first quantity regulation coefficient alpha 1;
if DeltaQ > DeltaQ2, the central control module judges that the standard keyword quantity A0 is regulated by using a preset second quantity regulation coefficient alpha 2;
when the central control module uses alpha i to adjust the number of standard keywords, i=1 and 2 are set, the adjusted number of standard keywords is marked as A ', and A' =A0× (1+alpha i)/2 is set.
According to the intelligent interaction system, the preset first quantity adjustment coefficient, the preset second quantity adjustment coefficient, the preset first duty ratio difference value, the preset second duty ratio difference value and the preset standard keyword retrieval type quantity duty ratio are set, the central control module adjusts the preset standard keyword retrieval type quantity duty ratio through comparison of the duty ratio difference values, the effectiveness of the interaction system is improved, and the accuracy and the acquisition efficiency of information acquisition by using the interaction system are further improved.
Further, the central control module carries out secondary judgment on whether the integrity of the search content is lower than the allowable range according to the non-feedback data duty ratio P, the central control module is provided with a preset non-feedback data duty ratio P0,
if P is less than or equal to P0, the central control module judges that the feedback-free data duty ratio is within an allowable range, and controls the interaction module to operate according to preset operation parameters;
if P > P0, the central control module determines that the feedback-free data duty ratio exceeds the allowable range, and adjusts the data update frequency to the corresponding standard data update frequency according to the difference Δp between the feedback-free data duty ratio P and the preset feedback-free data duty ratio P0, and sets Δp=p-P0.
Specifically, the calculation formula of the feedback-free data duty ratio P is as follows:
wherein p is the total amount of feedback-free data, q Total (S) Is the total amount of feedback data.
According to the intelligent interaction system, the preset feedback-free data duty ratio is set, and the central control module judges whether the data updating frequency is within the allowable range according to the feedback-free data duty ratio, so that information acquisition untimely caused by data feedback is reduced, and the accuracy and the acquisition efficiency of information acquisition by using the interaction system are further improved.
Further, the central control module adjusts the data updating frequency to the corresponding data updating frequency according to the difference delta P between the non-feedback data duty ratio P and the preset non-feedback data duty ratio P0, the central control module is provided with a preset first frequency adjusting coefficient beta 1, a preset second frequency adjusting coefficient beta 2, a preset first non-feedback data duty ratio difference delta P1, a preset second non-feedback data duty ratio difference delta P2 and a preset standard data updating frequency H0, wherein, 1 is less than beta 1 and less than beta 2, delta P1 is less than delta P2,
if delta P is less than or equal to delta P1, the central control module adjusts the standard data updating frequency to H0;
if delta P1 is less than delta P2, the central control module judges that the standard data updating frequency H0 is adjusted by a preset first frequency adjusting coefficient beta 1;
if delta P > -delta P2, the central control module judges that the standard data updating frequency H0 is adjusted by a preset second frequency adjusting coefficient beta 2;
when the central control module adjusts the standard data updating frequency by using beta j, j=1 and 2 are set, the adjusted standard data updating frequency is marked as H ', and H' =H20×beta j is set.
According to the intelligent interaction system, the preset first frequency adjustment coefficient, the preset second frequency adjustment coefficient, the preset first feedback-free data duty ratio difference value, the preset second feedback-free data duty ratio difference value and the preset standard data updating frequency are set, and the central control module correspondingly adjusts the standard data updating frequency through comparison of the feedback-free data duty ratio difference value, so that the accuracy and the acquisition efficiency of information acquisition by using the interaction system are further improved.
Further, the central control module judges whether the interaction speed is within the allowable range according to the interaction time S, the central control module is provided with a preset first interaction time S1 and a preset second interaction time S2, wherein S1 is smaller than S2,
if S is less than or equal to S1, the central control module judges that the interaction speed is within an allowable range and controls the interaction module to operate according to preset operation parameters;
if S1 is more than S and less than or equal to S2, the central control module judges that the interaction speed exceeds the allowable range, primarily judges that the thread segmentation degree exceeds the allowable range, and judges whether the thread segmentation degree is in the allowable range or not secondarily according to the duty ratio of the non-running reference memory;
if S > S2, the central control module determines that the interaction speed exceeds the allowable range, determines that the expandable capacity is lower than the allowable range, and adjusts the number of virtual machines to a corresponding number according to a difference Δs between the interaction time S and a preset second interaction time S2, and sets Δs=s-S2.
According to the intelligent interaction system, the preset first interaction time and the preset second interaction time are set, the central control module judges whether the interaction speed is within the allowable range according to the interaction time, the situation that the information acquisition efficiency is low due to the fact that the interaction time exceeds the allowable range is reduced, and the accuracy and the acquisition efficiency of acquiring information by using the interaction system are further improved.
Further, the central control module adjusts the number of virtual machines to a corresponding number according to the difference DeltaS between the interaction time S and the preset second interaction time S2, the central control module is provided with a preset first number adjusting coefficient gamma 1, a preset second number adjusting coefficient gamma 2, a preset first time difference DeltaS 1, a preset second time difference DeltaS 2 and a preset standard virtual machine number F0, wherein, delta1 < gamma 2 < 1, deltaS 1 < DeltaS2,
if delta S is less than or equal to delta S1, the central control module adjusts the number of the standard virtual machines to F0;
if DeltaS 1 < DeltaSis less than or equal to DeltaS 2, the central control module judges that the number F0 of the standard virtual machines is regulated by a preset first number regulating coefficient gamma 1;
if DeltaS > DeltaS2, the central control module judges that the standard virtual machine quantity F0 is regulated by a preset second quantity regulation coefficient gamma 2;
when the central control module adjusts the number of the standard virtual machines by using γk, setting k=1, 2, marking the adjusted number of the standard virtual machines as F ', and setting F' =F0× (1+γk).
According to the intelligent interaction system, the number of the standard virtual machines is increased by setting the preset first number adjustment coefficient, the preset second number adjustment coefficient, the preset first time difference value, the preset second time difference value and the preset standard virtual machine number, and the central control module is used for increasing the number of the standard virtual machines according to the comparison of the time difference values, so that the accuracy and the acquisition efficiency of information acquisition by using the interaction system are further improved.
Further, the central control module secondarily judges whether the thread segmentation degree is within the allowable range according to the ratio of the non-running reference memory, the central control module is provided with a preset ratio R0 of the non-running reference memory,
if R is less than or equal to R0, the central control module secondarily judges that the thread segmentation degree is within an allowable range and controls the interaction module to operate according to preset operation parameters;
if R > R0, the central control module secondarily determines that the thread segmentation degree is beyond the allowable range, and adjusts the standard thread operation duration to a corresponding operation duration according to a difference Δr between the ratio of the non-operation reference memory R and the preset ratio of the non-operation reference memory R1, and sets Δr=r-R0.
According to the intelligent interaction system, the preset non-running reference memory duty ratio is set, and the central control module judges whether the segmentation degree of the line is within the allowable range or not according to the non-running reference memory duty ratio, so that the interaction speed exceeding the allowable range due to the fact that the non-running reference memory duty ratio is too large is reduced, and the accuracy and the acquisition efficiency of acquiring information by using the interaction system are further improved.
Further, the calculation formula of the non-running reference memory ratio is as follows:
wherein R is the duty ratio of the non-running reference memory, G1 is the memory in the reference state but the thread is not running, and G2 is the actual running memory of the thread.
Further, the central control module adjusts the standard thread operation time to the corresponding operation time according to the difference DeltaR between the non-operation reference memory duty ratio R and the preset first non-operation reference memory duty ratio R1, wherein the central control module is provided with a preset first memory duty ratio difference DeltaR 1, a preset second memory duty ratio difference DeltaR 2, a preset first operation time adjustment coefficient Delta1, a preset second operation time adjustment coefficient Delta2 and a preset standard thread operation time T0, deltaR 1 < DeltaR2, 0 < Delta1 < Delta2 < 1,
if the delta R is less than or equal to delta R1, the central control module adjusts the running time of the standard thread to T0;
if DeltaR 1 < DeltaR2 is less than or equal to DeltaR 2, the central control module judges that the standard thread running time T0 is regulated by a preset first time regulating coefficient delta 1;
if DeltaR > DeltaR2, the central control module judges that the standard thread running time T0 is regulated by a preset second time regulating coefficient delta 2;
when the central control module uses δg to adjust the standard thread running time length, g=1, 2 is set, the adjusted standard thread running time length is marked as T ', and T' =t0× (1- δg) is set.
According to the intelligent interaction system, the first memory duty ratio difference value, the second memory duty ratio difference value, the first operation duration adjustment coefficient, the second operation duration adjustment coefficient and the standard thread operation duration are preset, the central control module adjusts the standard thread operation duration according to the comparison of the difference values, the actual operation memory duty ratio of the threads is improved, the interaction speed is increased, and the accuracy and the acquisition efficiency of information acquisition by using the interaction system are further improved.
Example 1
Referring to fig. 4, in an intelligent interaction system based on elastic expansion of the present embodiment 1, an interaction module, a data acquisition module, a data processing module and a central control module are provided, after the interaction module starts to operate, the data acquisition module acquires the number of keywords of feedback data, the number of non-feedback data, the interaction speed and the actual running memory of a thread from the interaction module, the data processing module processes the interaction characteristic parameters, calculates the characteristic parameters to obtain the number of keywords of the feedback data, the number of non-feedback data and the non-running reference memory, and the central control module issues an adjustment instruction according to the calculation parameters of the data processing module.
The intelligent interaction system analyzes and processes data generated during operation of the intelligent interaction system by arranging the interaction module, the data acquisition module, the data processing module and the central control module, timely feedback is obtained through hierarchical adjustment, and accuracy and acquisition efficiency of information acquisition by using the interaction system are improved.
Example 2
In this embodiment 2, after the central control module determines whether the interaction effectiveness is within the allowable range according to the number ratio Q of the keywords, there are three adjustment modes for the number of the standard keywords, the difference between the number ratio of the keywords and the preset first number ratio is denoted as Δq, the central control module is provided with a preset first number adjustment coefficient α1, a preset second number adjustment coefficient α2, a preset first duty ratio difference Δq1, a preset second duty ratio difference Δq2, and a standard keyword search type number ratio A0, where α1=1.3, α2=1.5, Δq1=0.1, Δq2=0.2, a0=0.4,
in this embodiment 1, Δq=0.12 is obtained, the central control module determines that Δq1 </Δq2, and uses α1 to adjust the number of standard keywords, where the adjusted number of standard keyword search types has a ratio a' =0.4× (1.3+1)/2=0.46.
According to the intelligent interaction system, the preset first quantity adjustment coefficient, the preset second quantity adjustment coefficient, the preset first duty ratio difference value, the preset second duty ratio difference value and the preset standard keyword retrieval type quantity duty ratio are set, the central control module is used for adjusting the standard keyword retrieval type quantity duty ratio through comparison of the duty ratio difference values, the use efficiency of the interaction system is effectively improved, loss of interaction effectiveness caused by lack of keywords is reduced, and accuracy and acquisition efficiency of information acquisition by using the interaction system are further improved.
Example 3
In this embodiment 3, after the central control module determines whether the update frequency of the data is within the allowable range according to the duty ratio of the feedback-free data, there are three ways for adjusting the update frequency of the standard data, the difference between the duty ratio of the preset first feedback-free data and the duty ratio of the feedback-free data is denoted as Δp, the central control module is provided with a preset first frequency adjustment coefficient β1, a preset second frequency adjustment coefficient β2, a preset first duty ratio difference Δp1, a preset second duty ratio difference Δp2, and a preset standard data update frequency H0, where β1=1.2, β2=1.6, Δp1=0.09, Δp2=0.21, h0=10 times/day,
in this embodiment 2, Δp=0.4 is obtained, the central control module determines that Δp1 < [ Δp ] Δp2 is not more than Δp2, and adjusts the standard data update frequency using β1, and the adjusted standard data update frequency H' =10 times/day×1.2=12 times/day.
According to the intelligent interactive system, the preset first frequency adjustment coefficient, the preset second frequency adjustment coefficient, the preset first feedback-free data duty ratio difference value, the preset second feedback-free data duty ratio difference value and the preset standard updating frequency are set, the standard updating frequency is effectively improved by the central control module through comparison of the feedback-free data duty ratio difference value, the situation of no feedback data is reduced, the use efficiency of the interactive system is improved, and the accuracy and the acquisition efficiency of information acquisition by using the interactive system are further improved.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An intelligent interaction system based on elastic expansion, which is characterized by comprising:
the interaction module is used for interacting different types of data;
the data acquisition module is connected with the interaction module and is used for acquiring interaction characteristic parameters, wherein the interaction characteristic parameters comprise: the method comprises the steps of feeding back the keyword number of data, the number of feedback-free data, the interaction speed and the actual running memory of threads;
the data processing module is connected with the acquisition module and is used for obtaining the keyword quantity proportion of the feedback data, the quantity proportion of the non-feedback data and the non-running reference memory proportion of the interaction characteristic parameters in a statistical calculation mode;
the central control module is respectively connected with the interaction module, the data acquisition module and the data processing module and is used for adjusting the number proportion of the keyword retrieval types to the corresponding number proportion according to the number proportion of the keywords, adjusting the data updating frequency to the corresponding data updating frequency according to the number proportion of the feedback-free data, adjusting the number of the virtual machines to the corresponding value according to the actual interaction speed and adjusting the running duration of the standard thread to the corresponding duration according to the non-running reference memory proportion.
2. The intelligent interaction system based on elastic expansion according to claim 1, wherein the central control module determines whether the interaction effectiveness is within an allowable range according to the number of keywords with a ratio Q, a preset first number of keywords with a ratio Q1 and a preset second number of keywords with a ratio Q2, wherein Q1 is smaller than Q2,
if Q is less than or equal to Q1, the central control module judges that the effectiveness of interaction is lower than an allowable range, and preliminarily judges that the integrity of the searched content is lower than the allowable range, and judges whether the integrity of the searched content is lower than the allowable range for the second time according to the proportion of feedback-free data;
if Q1 is more than Q and less than or equal to Q2, the central control module judges that the effectiveness of interaction is lower than an allowable range, calculates a difference DeltaQ between the quantity ratio Q of the keywords and a preset first quantity ratio Q1, adjusts the quantity ratio of the keyword search types to the corresponding quantity ratio according to DeltaQ, and sets DeltaQ=Q-Q1;
if Q is more than Q2, the central control module judges that the number of keywords is within the allowable range, and controls the interaction module to operate according to preset operation parameters.
3. The intelligent interaction system based on elastic expansion according to claim 2, wherein the central control module adjusts the number of keyword search types to the corresponding number of keyword search types according to the difference DeltaQ between the number of keywords and the preset first number of keywords Q1, the central control module is provided with a preset first number of keyword search types adjustment coefficient alpha 1, a preset second number of keyword search types adjustment coefficient alpha 2, a preset first number of keywords difference DeltaQ 1, a preset second number of keywords difference DeltaQ 2 and a preset standard keyword search types number of keywords ratio A0, wherein 1 < alpha 2, deltaQ1 < DeltaQ2,
if delta Q is less than or equal to delta Q1, the central control module adjusts the number of the keyword retrieval types to A0;
if DeltaQ 1 < DeltaQis less than or equal to DeltaQ 2, the central control module judges that the standard keyword quantity A0 is regulated by using a preset first quantity regulation coefficient alpha 1;
if DeltaQ > DeltaQ2, the central control module judges that the standard keyword quantity A0 is regulated by using a preset second quantity regulation coefficient alpha 2;
when the central control module uses alpha i to adjust the number of standard keywords, i=1 and 2 are set, the adjusted number of standard keywords is marked as A ', and A' =A0× (1+alpha i)/2 is set.
4. The intelligent interaction system based on elastic expansion according to claim 3, wherein the central control module makes a secondary decision whether the integrity of the search content is lower than the allowable range according to the feedback-free data duty ratio P, the central control module is provided with a preset feedback-free data duty ratio P0,
if P is less than or equal to P0, the central control module judges that the feedback-free data duty ratio is within an allowable range, and controls the interaction module to operate according to preset operation parameters;
if P > P0, the central control module determines that the feedback-free data duty ratio exceeds the allowable range, and adjusts the data update frequency to the corresponding standard data update frequency according to the difference Δp between the feedback-free data duty ratio P and the preset feedback-free data duty ratio P0, and sets Δp=p-P0.
5. The intelligent interactive system based on elastic expansion according to claim 4, wherein the central control module adjusts the data update frequency to the corresponding data update frequency according to the difference DeltaP between the non-feedback data duty ratio P and the preset non-feedback data duty ratio P0, the central control module is provided with a preset first frequency adjustment coefficient beta 1, a preset second frequency adjustment coefficient beta 2, a preset first non-feedback data duty ratio difference DeltaP 1, a preset second non-feedback data duty ratio difference DeltaP 2 and a preset standard data update frequency H0, wherein 1 < beta 2, deltaP 1 < DeltaP2,
if delta P is less than or equal to delta P1, the central control module adjusts the standard data updating frequency to H0;
if delta P1 is less than delta P2, the central control module judges that the standard data updating frequency H0 is adjusted by a preset first frequency adjusting coefficient beta 1;
if delta P > -delta P2, the central control module judges that the standard data updating frequency H0 is adjusted by a preset second frequency adjusting coefficient beta 2;
when the central control module adjusts the standard data updating frequency by using beta j, j=1 and 2 are set, the adjusted standard data updating frequency is marked as H ', and H' =H20×beta j is set.
6. The intelligent interaction system based on elastic expansion according to claim 5, wherein the central control module determines whether the interaction speed is within an allowable range according to the interaction time S, the central control module is provided with a preset first interaction time S1 and a preset second interaction time S2, wherein S1 is smaller than S2,
if S is less than or equal to S1, the central control module judges that the interaction speed is within an allowable range and controls the interaction module to operate according to preset operation parameters;
if S1 is more than S and less than or equal to S2, the central control module judges that the interaction speed exceeds the allowable range, primarily judges that the thread segmentation degree exceeds the allowable range, and judges whether the thread segmentation degree is in the allowable range or not secondarily according to the duty ratio of the non-running reference memory;
if S > S2, the central control module determines that the interaction speed exceeds the allowable range, determines that the expandable capacity is lower than the allowable range, and adjusts the number of virtual machines to a corresponding number according to a difference Δs between the interaction time S and a preset second interaction time S2, and sets Δs=s-S2.
7. The intelligent interactive system based on elastic expansion according to claim 6, wherein the central control module adjusts the number of virtual machines to a corresponding number according to a difference DeltaS between the interactive time S and a preset second interactive time S2, the central control module is provided with a preset first number adjustment coefficient gamma 1, a preset second number adjustment coefficient gamma 2, a preset first time difference DeltaS 1, a preset second time difference DeltaS 2 and a preset standard virtual machine number F0, wherein 0 < gamma 1 < gamma 2 < 1, deltaS 1 < DeltaS2,
if delta S is less than or equal to delta S1, the central control module adjusts the number of the standard virtual machines to F0;
if DeltaS 1 < DeltaSis less than or equal to DeltaS 2, the central control module judges that the number F0 of the standard virtual machines is regulated by a preset first number regulating coefficient gamma 1;
if DeltaS > DeltaS2, the central control module judges that the standard virtual machine quantity F0 is regulated by a preset second quantity regulation coefficient gamma 2;
when the central control module adjusts the number of the standard virtual machines by using γk, setting k=1, 2, marking the adjusted number of the standard virtual machines as F ', and setting F' =F0× (1+γk).
8. The intelligent interaction system based on elastic expansion according to claim 7, wherein the central control module secondarily determines whether the thread segmentation degree is within an allowable range according to the non-running reference memory duty ratio, the central control module is provided with a preset non-running reference memory duty ratio R0,
if R is less than or equal to R0, the central control module secondarily judges that the thread segmentation degree is within an allowable range and controls the interaction module to operate according to preset operation parameters;
if R > R0, the central control module secondarily determines that the thread segmentation degree is beyond the allowable range, and adjusts the standard thread operation duration to a corresponding operation duration according to a difference Δr between the ratio of the non-operation reference memory R and the preset ratio of the non-operation reference memory R1, and sets Δr=r-R0.
9. The intelligent interaction system based on elastic expansion according to claim 8, wherein the calculation formula of the non-running reference memory ratio is:
wherein R is the duty ratio of the non-running reference memory, G1 is the memory in the reference state but the thread is not running, and G2 is the actual running memory of the thread.
10. The intelligent interaction system based on elastic expansion according to claim 9, wherein the central control module adjusts the standard thread operation duration to the corresponding operation duration according to the difference DeltaR between the non-operation reference memory duty ratio R and the preset first non-operation reference memory duty ratio R1, the central control module is provided with a preset first memory duty ratio difference DeltaR 1, a preset second memory duty ratio difference DeltaR 2, a preset first operation duration adjustment coefficient Delta1, a preset second operation duration adjustment coefficient Delta2 and a preset standard thread operation duration T0, wherein DeltaR 1 < DeltaR2, 0 < Delta1 < Delta2 < 1,
if the delta R is less than or equal to delta R1, the central control module adjusts the running time of the standard thread to T0;
if DeltaR 1 < DeltaR2 is less than or equal to DeltaR 2, the central control module judges that the standard thread running time T0 is regulated by a preset first time regulating coefficient delta 1;
if DeltaR > DeltaR2, the central control module judges that the standard thread running time T0 is regulated by a preset second time regulating coefficient delta 2;
when the central control module uses δg to adjust the standard thread running time length, g=1, 2 is set, the adjusted standard thread running time length is marked as T ', and T' =t0× (1- δg) is set.
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