43results about How to "Obvious non-linear features" patented technology

The invention relates to an incremental health monitoring method in a cable system of a cable structure based on angular coordinate monitoring, which takes that linear relation between current value vectors of values to be monitored and initial value vectors of the values to be monitored, and the linear relation between unit damage value change arrays of the values to be monitored and current nominal damage vectors are similar into consideration on the premise of taking angular coordinates as values to be monitored, in particular when damaged cables are more or damage extent is larger, the linear relation characteristic is more obvious. In order to overcome the defect, the invention provides a method for using the linear relations to perform piecewise approximation on nonlinear relations based on the angular coordinate monitoring, divides a large interval into a plurality of continuous small intervals; in the small intervals, the linear relations are accurate enough and proper algorithms such as multiobjective optimization algorithm are utilized to calculate noninferior solutions of current cable damage vectors, and then positions of the damaged cables and the damage extent of the cables are determined accurately.

The invention discloses a progressive method for identifying loose support cable based on strain monitoring during support settlement, which is based on strain monitoring, and identifies the loose support cable through monitoring a structure support coordinate, taking into account the approximate linear relationship between the current value vector of the monitored-volume and the initial value vector of the monitored-volume, the virtual unit damage monitored-volume value change matrix and the current nominal damage vector. For overcoming the diadvantage, the invention provides the method which means that the linear relationship is segmented to be close to the non-linear relationship, therefore, the virtual damaged cable can be identified; after the real damaged-cable is identified through a non-damaged test method, the remained virtual damaged-cable is the loose support cable, and the cable length needing adjusting can be determined according to the relationship between the loose degree and the virtual damaged degree.

The invention relates to a progressive health monitoring method for a cable system in a cable structure on the basis of cable tension monitoring. On the premise of taking cable tension as the monitored value, the progressive health monitoring method considers that linear relations among a current value vector of a monitored value, an initial value vector of the monitored value, a value change matrix of the unit damage monitored value and a current nominal damage vector are approximate, and particularly nonlinear relation characteristics between the vectors are more obvious when the number of damaged cables is numerous or the damage degree is larger. The invention provides the method for piecewise approximation of nonlinear relations by the linear relations on the basis of cable tension monitoring in order to overcome the defects. The method splits a large section into a plurality of continuous subsections; the linear relations in each subsection is accurate enough; and a non-inferior solution of a current cable damage vector can be calculated in each subsection by a proper algorithm such as a multiobjective optimization algorithm, so that the position and the damage degree of a damaged cable can be accurately determined.

The invention relates to a progressive type method for identifying loose supporting ropes based on space coordinate monitoring during support settlement, which is based on strain monitoring and is used for identifying the loose supporting ropes by monitoring the coordinates of a support of a structure. In consideration of the condition that a linear relationship among the vector of the current numerical value of the quantity to be monitored, the vector of the initial numerical value of the quantity to be monitored, a change matrix of the numerical value of the virtual unit damage quantity to be monitored and a current nominal virtual damage vector is approximate, the invention provides a method using the linear relationship to sectionally approach to a nonlinear relationship in order to overcome the defect, virtual damaged ropes can be identified, and the residual virtual damaged ropes are just the loose supporting ropes after a true damaged rope is distinguished from the virtual damaged ropes by using the methods of nondestructive examination and the like, so that the rope length which needs to be regulated can be determined according to a relationship between the looseness degree and the virtual damage degree.

The invention relates to a progressive method for distinguishing a slack supporting cable based on cable force monitoring during support settlement; when the method is used for distinguishing the slack supporting cable based on the cable force monitoring by the coordinates of the support of a monitoring structure, the method considers that the linear relationship between the current numerical value vector of the monitored quantity and the initial numerical value vector of the monitored quantity, the numerical value changing matrix of the virtual unit damage monitored quantity and the current nominal damage vector is approximated; in order to overcome the defect, the invention provides a method which piecewise approximates to the non-linear relationship by using the linear relationship and can distinguish the virtual damage cable; after the true damage cable is distinguished by using methods such as a nondestructive testing method and the like, the remaining virtual damage cable is the slack supporting cable; and the length of the cable needing to be regulated can be determined according to the relationship between the slack degree and the virtual damage degree.

The invention relates to a progressive type healthy monitoring method of a rope system based on space coordinate monitoring during support settlement, which is based on the space coordinate monitoring and determines whether a mechanical calculation reference model of a structure needs to be updated again or not by monitoring the coordinates of a support of the structure. In consideration of the condition that a linear relationship among the vector of the current numerical value of the quantity to be monitored, the vector of the initial numerical value of the quantity to be monitored, a change matrix of the unit damage quantity to be monitored and a current nominal damage vector is approximate, the invention provides a method using the linear relationship to sectionally approach to a nonlinear relationship in order to overcome the defect, a big interval is divided into a plurality of continuous small intervals, the linear relationship is accurate enough in each small interval, and the non-inferior solution of the current rope damage vector can be calculated in each small interval by utilizing the proper algorithms of a multi-objective optimization algorithm and the like, so that the position of a damaged rope and the damage degree thereof can be more accurately determined.

The invention discloses a progressive health monitoring method of a cable system based on strain monitoring during support settlement, which is based on strain monitoring, determines whether to re-update a mechanical calculation baseline model of the structure through monitoring a structure support coordinate, taking into account the approximate linear relationship between the current value vector of the monitored-volume and the initial value vector of the monitored-volume, the unit damage monitored-volume change matrix and the current nominal damage vector. For overcoming the disadvantage, the invention provides the method which means that the linear relationship is segmented to be close to the non-linear relationship; in the method, a large interval is divided into consecutive small intervals, the linear relationship in each of the small intervals is accurate enough, the non-inferior solution of the current cable damage vector can be calculated in the small intervals through the multi-objective optimization algorithm and other appropriate algorithms, accordingly, the location and the damage degree of the damaged-cable can be determined accurately.

Based on the step-by-step type health monitoring method for the cable system in the cable structure of spatial coordinate monitoring, while using the spatial coordinate as monitored quantity, considering the approximation of the linear relation between the current numerical vector of the monitored quantity and the initial numerical vector of the monitored quantity and the linear relation between the unit damaged monitored quantity numerical value change matrix and the current nominal damaged vector, where, while more cable is damaged and/or the damaged degree is larger, the non-linear relation characteristics of the above qualities are more obvious, the invention provides a method for approaching the non-linear relation using linear relation based on spatial coordinate monitoring, which comprises: dividing the large interval into continuous small intervals ensuring the above linear relation in each small interval is accurate enough, calculating out the noninferior solution of the current cable damage vector in each small interval by a proper algorithm such as multiple-objective optimization, and accordingly, the position and damage degree of the damaged cable can be determined accurately.

The invention relates to a progressive type healthy monitoring method of a rope system based on angle monitoring during support settlement, which is based on the angle monitoring and determines whether a mechanical calculation reference model of a structure needs to be updated again or not by monitoring the coordinates of a support of the structure. In consideration of the condition that a linear relationship among the vector of the current numerical value of the quantity to be monitored, the vector of the initial numerical value of the quantity to be monitored, a change matrix of the unit damage quantity to be monitored and a current nominal damage vector is approximate, the invention provides a method using the linear relationship to sectionally approach to a nonlinear relationship in order to overcome the defect, a big interval is divided into a plurality of continuous small intervals, the linear relationship is accurate enough in each small interval, and the non-inferior solution of the current rope damage vector can be calculated in each small interval by utilizing the proper algorithms of a multi-objective optimization algorithm and the like, so that the position of a damaged rope and the damage degree thereof can be more accurately determined.

The invention provides a progressive method for identifying a slack cable on the basis of angle monitoring during support generalized displacement. According to angle monitoring, taking into consideration the fact that linear relationships between the current value vector of the monitored amount and an initial value vector of the monitored amount, a virtual unit damage monitored amount variation matrix and the current nominal virtual damage vector are approximate with each other through monitoring the support generalized coordinate of the structure during identifying the loose supporting cable, the invention provides a method for approaching nonlinear relation in a sectional way by using the linear relationships in order to overcome the defects. By using the method, the virtual damaged cable can be identified; after the real damaged cable is distinguished by using a nondestructive testing method and other methods, the rest virtual damaged cables are loose supporting cables; and then the cable length needing to be adjusted can be determined according to the relationship between the looseness degree and the virtual damage degree.

The invention relates to a progressive method for distinguishing a slack supporting cable based on multi-class parameter mixed monitoring during support settlement; when being used for distinguishing the slack supporting cable, the method considers that the linear relationship between the current numerical value vector of the monitored quantity and the initial numerical value vector of the monitored quantity, the numerical value changing matrix of the virtual unit damage monitored quantity and the current nominal virtual damage vector is approximated by the coordinates of the support of a monitoring structure; in order to overcome the defect, a method for piecewise approximating the non-linear relationship by using the linear relationship can distinguish the virtual damage cable; after the true damaged cable is distinguished by using the nondestructive testing method and the like, the left virtual damaged cable is the slack supporting cable; and the length of the cable needing to be regulated can be determined according to the relationship between the slack degree and the virtual damage degree.

The invention discloses a progressive method for identifying loose support cable based on angle monitoring during support settlement, which is based on angle monitoring, and identifies the loose support cable through monitoring a structure support coordinate, taking into account the approximate linear relationship between the current value vector of the monitored-volume and the initial value vector of the monitored-volume, the virtual unit damage monitored-volume value change matrix and the current nominal damage vector. For overcoming the disadvantage, the invention provides the method which means that the linear relationship is segmented to be close to the non-linear relationship, therefore, the virtual damaged cable can be identified; after the real damaged cable is identified through a non-damaged test method, the remained virtual damaged cable is the loose support cable, and the cable length needing adjusting can be determined according to the relationship between the loose degree and the virtual damaged degree.

The progressive health monitoring method of the cable system based on the spatial coordinate monitoring of the angular displacement of the support is based on the spatial coordinate monitoring. By monitoring the angular coordinates of the structural support, it is determined whether it is necessary to update the mechanical calculation benchmark model of the structure again, taking into account the current situation of the monitored quantity. The numerical vector is similar to the linear relationship between the initial numerical vector of the monitored quantity, the unit damage monitored quantity change matrix and the current nominal damage vector. The method divides the large interval into continuous small intervals. The above linear relationship is accurate enough in each small interval. In each small interval, appropriate algorithms such as multi-objective optimization algorithms can be used to calculate the current cable damage. The non-inferior solution of the vector, according to which the position of the damaged cable and its damage degree can be determined more accurately.

The invention discloses a progressive method for distinguishing a slack cable based on strain monitoring in the angular displacement of a supporting seat. Based on the strain monitoring and through monitoring an angular coordinate of the supporting seat of a structure, when the progressive method is used for distinguishing a slack supporting cable, the condition that the linear relations between a current numerical vector of a monitored quantity and an initial numerical vector of the monitored quantity, as well as between a virtual unit damage numerical change matrix of the monitored quantityand a current nominal virtual damage vector are approximate is considered; in order to overcome the defect, a method for piecewise approaching a nonlinear relation by using the linear relations is given; a virtual damaged cable can be distinguished; after a real damaged cable is identified by using methods such as nondestructive examination and the like, the residual virtual damaged cable is the slack supporting cable; and according to the relation between a slackness degree and a virtual damage degree, the length of the cable needing to be adjusted can be determined.

The invention provides a progressive health monitoring method for a cable system based on strain monitoring during generalized displacement of a support. Whether a mechanics calculation benchmark model of the structure requires to be updated against is decided by monitoring of a generalized coordinates of the structural support; considering the similar linear relationship among the current data vector of the monitored quantity and the initial value vector of the monitored quantity, the unit damage monitored quantity change matrix and the current nominal damage vector, in order to overcome the defects, a method using the linear relationship to approach the nonlinear relationship by section is adopted so that a large section is divided into a plurality of continuous small sections; the linear relationship in each small section is sufficiently accurate; and suitable algorithms such as a multi-objective optimization algorithm and the like can be utilized in each small section so as to calculate the non-inferior solution of the damage vector of the current cable, thus more exactly determining the position and the damage degree of a damaged cable.

The invention relates to a progressive health monitoring method for a cable system based on cable force monitoring during support settlement; the method based on the cable monitoring decides whether a mechanical calculation standard model of a structure needs to be updated again or not through the coordinates of the support of a monitoring structure, and considers that the linear relationship between the current numerical value vector of the monitored quantity and the initial numerical value vector of the monitored quantity, the changing matrix of the unit damage monitored quantity and the current nominal damage vector is approximated; in order to overcome the defect; the invention provides a method which piecewise approximates to the non-linear relationship by using the linear relationship and divides a big interval into a continuous one-by-one small minimal intervals; the linear relationship in each minimal interval is enough accurate; the noninferior solution of the current cable damage vector can be figured out by using appropriate algorithms such as a multiple target optimization algorithm in each minimal interval; and accordingly, the position and the damage degree of the damage cable can be accurately determined.

The invention belongs to the technical field of logistics combat readiness material consumption prediction, and discloses a combat readiness material consumption prediction model construction method, which comprises the steps of S1, dividing the whole combat service into a plurality of stages according to the nonlinear and uncertain characteristics of combat readiness material demands; s2, according to the actual situation of each stage, the types of reserve materials needing to be consumed in each stage are determined; s3, scientifically measuring and calculating the war readiness material consumption quantity based on the basic data by using the material consumption data obtained by deducing the war chess for ten times, and analyzing and concluding a war readiness material consumption rule to obtain a material consumption calculation model; s4, a tactical classification and summarization method is applied, and the total consumption amount of the reserve materials obtained through superposition is counted; the method solves the problem that a logistics support consumption prediction model in the prior art is poor in accuracy and effectiveness, and is suitable for the construction of a logistics combat readiness material consumption prediction model.