RU2719467C1 - Method for complex monitoring of state of a multiparameter object based on heterogeneous information - Google Patents

Abstract

FIELD: computer equipment.

SUBSTANCE: invention relates to computer engineering. Technical result is achieved due to formation of ranges of normal, permissible, limit and beyond limits by setting upper and lower warning, control and limit boundaries for each monitored parameter of multiparameter object; measuring parameters of the multiparameter object to be monitored and recording measurement results; determination and recording of values of conformity criteria of measurement results and allowable, limiting and beyond limits to established ranges of allowable, limiting and beyond limits; determining and recording complex indicators of the state of the multiparameter object for ranges of allowable, limiting and out-of-limit values; control of complex indicators of boundary condition for compliance with ranges of normal, permissible, limit and out-of-limit values; control of multiparameter object for compliance with normal, permissible, critical and emergency conditions.

EFFECT: technical result is higher efficiency and reliability of controlling multiparameter objects.

1 cl, 19 dwg

Description

The invention relates to methods for the comprehensive monitoring of the state of multi-parameter objects using heterogeneous information and can be used in diagnostic and control systems of objects (dynamic systems, processes) to quickly obtain reliable information about the state of spatially distributed and / or concentrated multi-parameter objects from heterogeneous information.

The claimed invention can be used in industry, healthcare, other sectors of the economy, environmental protection or in the social sphere, where monitoring and determination of trends in the state of a multi-parameter object are necessary.

A known method and system for remote monitoring of objects [1], which consists in obtaining data from the object of control; the formation of a reference sample of performance indicators of the object; building a state matrix from the components of the points of the reference sample; building on the basis of the method of multivariate state assessment technique (MSET) empirical models for predicting the state of an object; identification of residual components; the formation of a statistical model of the object for a period of time; determining the limit value for the statistical model; defining a breakdown; analysis of information received from the object; determining the degree of deviation of the parameters of the parameters of the object for a period of time; ranking computed breakdowns; modifications to the reference sample; updating empirical models; generating a signal about the deviation of the object parameter based on the updated model and determining the state of operation of the object. This ensures the prediction of deviations in the operation of the control object.

The disadvantages of the known method and system is that the entire range of possible values is divided into only two ranges: the range of acceptable values and the range of limit values.

The authors understand the range of permissible parameter values as the interval of values of the monitored parameter at which satisfactory operation of the multi-parameter object is expected, and the range of limit values of the controlled parameter as the range of values outside which the multiparameter object can be damaged or disabled.

In addition, the integral indicator - criterion T ² , determined on the basis of measurements, masks some controlled parameters, which leads to the need to remove them from the list of controlled. ([1], p. 14, paragraphs 15, 20).

According to the authors of the alleged invention, the removal of parameters leads to a decrease in the reliability of monitoring the state of the object.

There is also a known method for monitoring the state of a multi-parameter object [2], in which the result is recognition of an anomalous change in the state characteristics of one of the totality of identical elements during the functioning of the multi-parameter object by setting standard values and allowable deviations of the state characteristics of the elements of the multi-parameter object; measuring current values of monitored parameters; calculating the current values of the state characteristics of the elements of the multiparameter object and comparing them with the specified standard values and permissible deviations.

The disadvantages of this method is that the entire range of possible values is divided into only two ranges: the range of permissible values and the range of limit values, as well as the absence of a complex parameter characterizing the state of a multi-parameter object.

и нижних

контрольных границ для каждого контролируемого параметра

, где j = 1…n, многопараметрического объекта; измерении контролируемых параметров многопараметрического объекта и регистрации результатов измерений

; определении и регистрации значений признаков соответствия результатов измерений и допустимых значений

; контроле состояния многопараметрического объекта; формировании результатов контроля параметров многопараметрического объекта в виде матрицы состояния объекта, количество и номера элементов которой соответствуют количеству и номерам контролируемых параметров объекта, при этом элементам матрицы присваивают вычисленные значения признаков соответствия, и в виде цветографической формы, представляющей собой сформированную в полярной системе координат фигуру; отображении результатов контроля параметров многопараметрического объекта в виде цветографических образов объекта контроля в момент окончания измерений в заданном временном интервале; определении тенденции изменения значений параметров многопараметрического объекта для последовательных временных интервалов

. Closest to the alleged invention is a method of comprehensive monitoring of the state of a multi-parameter object according to heterogeneous information [3], which consists in forming a range of acceptable values by establishing upper

and lower

control boundaries for each controlled parameter

where j = 1 ... n, a multiparameter object; measuring controlled parameters of a multiparameter object and recording measurement results

; determination and registration of values of signs of conformity of measurement results and permissible values

; monitoring the state of a multi-parameter object; generating the results of the control of the parameters of a multiparameter object in the form of an object state matrix, the number and number of elements of which correspond to the number and numbers of the controlled parameters of the object, while the matrix elements are assigned the calculated values of the correspondence signs, and in the form of a colorographic form, which is a figure formed in the polar coordinate system; displaying the results of the control of the parameters of a multiparameter object in the form of colorographic images of the control object at the time of completion of measurements in a given time interval; determination of the tendency for the parameter values of a multi-parameter object to change for consecutive time intervals

.

As follows from the claims in the known method of complex monitoring of the state of a multiparameter object according to heterogeneous information, the measured values of the monitored parameters of the multiparameter object are converted into signs of compliance of the estimated and permissible parameter values according to unified rules. The purpose of this transformation is to translate the measured values into dimensionless quantities and to be able to display heterogeneous parameters in a single colorographic form without loss of information.

From the thus obtained signs of compliance form the state matrix of the control object. Using the elements of the resulting matrix, a colorographic form is formed, on which simultaneously the values of all the controlled parameters of the multiparameter object are displayed and which is interpreted as an image of the state of the control object in a given time interval.

According to the authors of the proposed invention, the disadvantages of the existing method is that the entire range of possible values is divided into only two ranges: the range of acceptable values and the range of limit values, as well as the absence of a complex parameter characterizing the state of a multi-parameter object. Show it.

The figure 1 shows a diagram of the algorithm for conducting complex control of a multi-parameter object according to heterogeneous information known, proposed in the prototype.

The figure 2 shows the division of the field changes the values of the controlled parameters of the multiparameter object into the ranges of permissible and limit values by introducing the lower and upper control boundaries.

The figure 3 presents the state matrix of the object [3].

The figure 4 shows the colorographic form for the presentation of the results of monitoring the parameters of a multi-parameter object [3].

The figure 5 presents the change in the values of the controlled parameters of a multi-parameter object.

The figure 6 shows the dependence of the probability of error-free actions of the decision maker on the number of monitored parameters for simultaneous observation and the time to make a decision [10].

Consider in more detail the well-known method of comprehensive monitoring of the state of a multi-parameter object according to heterogeneous information (see figure 1):

и нижних

контрольных границ для каждого контролируемого параметра

многопараметрического объекта.Formation of a range of acceptable values by setting upper

and lower

control boundaries for each controlled parameter

multiparameter object.

The main signs indicating the advisability of including a parameter in the list of controlled ones are its ability to give information about the state of a multi-parameter object and the quality of this information. In the known method, each controlled parameter is informative both in the admissible and critical state of the multiparameter object, since for each selected controlled parameter of the multiparameter object, the entire field of possible values is divided into two ranges: the range of acceptable values and the range of limit values by introducing upper and lower control values borders. These boundaries are set on the basis of the requirements of regulatory and technical and / or design (project) documentation governing the operation of a controlled multi-parameter object (see figure 2).

In accordance with [4], such parameters are serviceability, operability, and maintainability, and for each of them two states are possible.

Correct - the state of the object in which it meets all the requirements of regulatory and technical and (or) design (project) documentation.

Not working - the state of the facility in which it does not meet at least one of the requirements of the regulatory and technical and (or) design (project) documentation.

Workable - the state of the facility, in which the values of all parameters characterizing the ability to perform specified functions meet the requirements of regulatory and technical and (or) design (project) documentation.

Not operational - the state of the facility in which the value of at least one parameter characterizing the ability to perform specified functions does not meet the requirements of normative-technical and (or) design (project) documentation.

Repairable - a property of an object, which consists in adaptability to maintain and restore a healthy state through maintenance and repair.

Not repairable - the state of the facility in which the resource of fitness for maintaining and restoring a healthy state through maintenance and repair has been completely exhausted.

The range of permissible values of the monitored parameters forms the state of the multiparameter object, characterized by operating modes that ensure the permissible state of the multiparameter object (not working, operational).

The permissible state of a multi-parameter object is characterized by the values of the controlled parameters at which it is able to perform specified functions (operational), but may not meet at least one of the requirements of the normative-technical and / or design (design) documentation (not working).

The range of limit values characterizes the critical state of a multi-parameter object (not working, not functional, but maintainable) and the values of the monitored parameters leading to damage or complete failure of the multi-parameter object.

The critical state of a multi-parameter object is characterized by the values of controlled parameters at which it is not able to perform the specified functions in full (not operational) and does not meet all the requirements of the normative-technical and / or design (design) documentation (not working), but is maintainable.

The division of the entire field of change in the values of the controlled parameters of the multiparameter object into two ranges is optimal only if the multiparameter object is not controllable and can only be in two states. If a multi-parameter object can be in more than two states, or it is possible to control the values of controlled parameters, selecting only two ranges is not enough to ensure the speed and reliability of control.

контролируемых параметров многопараметрического объекта.Measurement and registration of values of results of measurements

controlled parameters of a multi-parameter object.

многопараметрического объекта.Measured and recorded (in electronic form or on paper) the values of controlled

multiparameter object.

.Definition and registration of values of signs of conformity of measurement results and permissible values

.

в показатели соответствия по унифицированным правилам.For further complex analysis, the measured values of the parameters of a multi-parameter object are converted

in compliance indicators according to unified rules.

The values of the signs of conformity of the estimated and acceptable values are calculated by dividing the estimated by the maximum allowable values of the monitored parameters of the multi-parameter object, if the estimated is greater than the maximum allowable, or divide the estimated by the minimum acceptable value, if the estimated is less than the minimum allowable:

(1)

(1)

In this case, the value of the signs of compliance is assigned a unit if the estimated parameter values are in the range of their permissible values:

, (2)

, (2)

- признаки и мера несоответствия или соответствия оцененных значений параметров объекта контроля допустимым значениям (далее признаки соответствия).Where

- signs and measure of non-compliance or conformity of the estimated values of the parameters of the object of control to acceptable values (hereinafter, the signs of compliance).

Transformations are carried out for each controlled parameter of a multiparameter object.

Monitoring the state of a multi-parameter object.

присваивают «1», если оцененные значения контролируемых параметров находятся в интервале их допустимых значений. В противном случае говорят о несоответствии значений контролируемых параметров их допустимым значениям.Analyzing the results of the transformations obtained according to formulas (1) and (2), they carry out control, given that, in accordance with [5], monitoring the state of a multi-parameter object is to verify that the values of the controlled parameters meet the requirements of technical documentation and determine, on this basis, one of the specified types of technical condition at a given time. In this case, the value of compliance indicators

assign “1” if the estimated values of the monitored parameters are in the range of their permissible values. Otherwise, they say that the values of the controlled parameters do not match their permissible values.

Formation of the results of the control of parameters of a multiparameter object.

Form the results of the control of the parameters of a multi-parameter object in the form of an object state matrix (see figure 3 [3]), the number and number of elements of which correspond to the number and numbers of the controlled parameters of the object, while the elements of the matrix are assigned the calculated values of the correspondence signs, and in the form of a colorographic form, which is a figure formed in the polar coordinate system, which is interpreted as an image of the state of the control object at the time of completion of measurements in a given time interval Ale.

Thus, they receive as many signs of compliance as there are controlled parameters. In the technical example given in the prototype, there are eighteen of them. And, to the decision maker, in order to understand the state of the multi-parameter object, it is necessary to evaluate each of the signs of compliance, which under critical conditions of time pressure will create a problem and increase the likelihood of a decision error. And the introduction of a comprehensive indicator characterizing the state of a multi-parameter object would solve this problem and enable the decision-maker to reliably and promptly assess the current situation.

Display the results of the control of the parameters of a multi-parameter object.

преобразовывают в цветографическую форму (см. фигуру 4 [3]), вне зависимости от количества контролируемых параметров, их физической сущности, единиц измерения и длительности заданных временных интервалов Δt_k. The values of compliance indicators determined by formulas (1) and (2)

transform into a colorographic form (see figure 4 [3]), regardless of the number of controlled parameters, their physical nature, units of measurement and the duration of the specified time intervals Δt _k .

The figure 4 shows: numbers of monitored parameters 1; scale 2 for determining the values of signs of compliance of the estimated and acceptable values of the controlled parameters; polar coordinate system 3; colorographic form 4; labels of 5 values of signs of compliance of the estimated and acceptable values of the controlled parameters at time t ₁ , t ₂ , t ₃ ; labels 6 reference values of signs of compliance of the estimated and acceptable values of the monitored parameters; line 7 of the border of the state image of a multiparameter object; line 8 of the border of the figure of the reference image; polar radii 9; pole of the polar coordinate system 10; polar angles 11; polar axis 12.

A colorographic form is formed, which is a figure formed in the polar coordinate system, which is interpreted as the image of the state of the controlled multi-parameter object at the time the measurements are completed in a given time interval, and to form the borders of the figure, the line connects the labels, the coordinates of which are determined by the polar values of radii connecting the pole of the polar coordinate system with marks and polar angles between the radii and the polar axis, moreover, the values of the radii of the assignment values of compliance indicators are obtained, and the values of angles are found by multiplying the ratio of the degree measure of the full circle divided by the number of parameters to the degree measure of radian by the parameter number.

Determination of the trend of changes in parameters over time

In one system of polar coordinates, the state images of a multi-parameter object obtained at given time intervals are combined (see Figure 4) and the facts of changes in the values of correspondence signs, relative values, trends of changes in the controlled parameters of the multi-parameter object are determined by changes in the coordinates of the labels with the same numbers in the combined images .

Time series are formed from the fixed values and used as initial data to determine the numerical characteristics of the change trends, the correlation properties of the controlled parameters of the multi-parameter object when identifying the causes, and also to determine the possible consequences of the change in the state of the multi-parameter object.

After analyzing the existing method of complex monitoring of the state of a multi-parameter object according to heterogeneous information [3], the authors identified the following disadvantages:

- the entire range of possible values is divided into only two ranges: the range of acceptable values and the range of limit values;

- there is no complex parameter characterizing the state of a multi-parameter object.

The first flaw. Any multi-parameter object (dynamic system, process) can be in more than two qualitative states and the process of transition to another qualitative state must be monitored. For example, the ecological system in terms of rates of self-healing and qualitatively-quantitative state of biomass and biological productivity can be in a natural, equilibrium, crisis, critical, catastrophic state, a state of collapse - only six states [4]. A person, as a biological system, can be in a state of normal life, pathological and borderline (three states) [6]. A technical object may be in good, faulty, operable, inoperative, and extreme states (five states) [7].

Therefore, the entire field of changing the values of the controlled parameters of a multiparameter object must be divided into as many ranges as the informative states of a multiparameter object are allocated for control purposes.

The introduction of additional boundaries allows the decision maker to respond to the rate of change of the monitored parameter and, when receiving a signal about the approaching value of the monitored parameter to the warning boundaries, have a larger margin of time for making and implementing a control decision to return the multi-parameter object to normal. The absence of warning boundaries allows the decision maker to consider for a longer time that the multiparameter object is in an acceptable state and, if the values of the controlled parameter are changed quickly, do not have time to respond by forming a control action, or there will not be enough time to carry it out.

The introduction of control boundaries allows us to judge the transition of a multi-parameter object from an acceptable state to a critical state. The critical state is characterized by the fact that, with timely recording of the fact that the multiparameter object is in this state, it is possible to form and carry out a control action that allows the multiparameter object to be transferred into the acceptable state and then to the normal state, avoiding the failure of the multiparameter object.

The emergency state allocated by the limit boundaries is characterized by the failure of the multi-parameter object and the need to take measures to replace or restore it, which violates the normal functioning process, requires the attraction of financial, material and other resources.

The presence of one control border (dividing only into two ranges) does not allow timely and efficient response to changes in the state of a multi-parameter object. This is necessary to return the multi-parameter object to the target (desired) state and to prevent its transition to emergency state. In addition, control over only one boundary does not provide enough information to select a method for effectively managing a multi-parameter object.

Effective management, according to the authors, is the formation of control actions on the basis of control and measurement information, ensuring the transfer of a multi-parameter object from the current to the target (desired) state.

There are not only many qualitative states of a multi-parameter object, but also many ways to control them. The inability to control the transition of a multi-parameter object from one state to another does not make it possible to choose an appropriate way to control its state. And therefore, it is necessary to correlate the control method of a multi-parameter object with its qualitative state.

Therefore, to assign a multi-parameter object to one of the possible states, it is necessary to establish the boundaries of the ranges for each state.

The change in the values of the controlled parameters of a multi-parameter object is shown in figure 5.

определяется по формуле:The rate of change of the values of the controlled parameter

determined by the formula:

- значение контролируемого параметра в момент времени

Where

- the value of the controlled parameter at time

- значение контролируемого параметра в момент времени

- the value of the controlled parameter at time

– интервал измерения.

- measurement interval.

, а интервал времени

. Проведя на основе формулы (3) качественный анализ скорости изменения контролируемого параметра, можно отметить, что скорость изменения контролируемого параметра на интервале времени

больше, чем на интервале

. И поэтому наличие предупредительной границы позволяет лицу, принимающему решения раньше, в момент времени

обратить внимание на факт перехода значения контролируемого параметра через уровень

и вовремя на него отреагировать, сформировав и осуществив управляющее воздействие и не допустив переход через уровень

. Анализируя интервал времени

можно отметить, что скорость изменения контролируемого параметра на этом временном интервале

существенно меньше и у лица, принимающего решения значительно больше времени на оценку ситуации и выбор оптимального управляющего воздействия. Но в обоих случаях предупредительная граница предупреждает и дает запас времени лицу, принимающему решения для выполнения необходимых действий. При ее отсутствии лицо, принимающее решения получило бы сразу сигнал, что контролируемый параметр перевел многопараметрический объект в критическое состояние и времени на выбор и формирование оптимального воздействия, возвращающего многопараметрический объект в допустимое и/или нормальное состояние либо чрезвычайно мало, либо вообще нет.Figure 5 shows that the value

, and the time interval

. Having carried out on the basis of formula (3) a qualitative analysis of the rate of change of the controlled parameter, it can be noted that the rate of change of the controlled parameter in the time interval

more than the interval

. And therefore, the presence of a warning boundary allows a decision maker earlier, at a point in time

pay attention to the fact that the value of the controlled parameter passes through the level

and respond to it in time by forming and implementing a control action and not allowing the transition through the level

. Analyzing the time interval

it can be noted that the rate of change of the controlled parameter at this time interval

significantly less and the decision maker has much more time to assess the situation and choose the optimal control effect. But in both cases, a warning border warns and gives a margin of time to the decision maker to perform the necessary actions. In its absence, the decision maker would immediately receive a signal that the monitored parameter transferred the multiparameter object to a critical state and the time to select and form the optimal effect, returning the multiparameter object to an acceptable and / or normal state is either extremely small or not at all.

In addition, the output of a multi-parameter object to the desired (target) state can be carried out using control actions of various levels. And the farther the actual value of the controlled parameter from the range of normal and / or permissible values, the more resources must be spent to return the controlled parameter to the desired (target) state.

So, for example, for a person, normal body temperature is 36.6 ° C. With an increase in its value, in case of a disease, to 37.5 ° C, doctors do not recommend lowering the body temperature, believing that it, with high immunity in the patient, can normalize itself. At a body temperature of 37.5 - 38.0 ° C, doctors recommend sparing ways to normalize it: heavy drinking, rubbing. And only at a body temperature of more than 38.0 ° C, antipyretic drugs are attributed [8]. Thus, depending on the deviation of the controlled parameter from the normal state, the “power” of the control action is selected.

The second drawback. To assess the state of a multi-parameter object, a list of significant controlled parameters is formed. And the more accurately it is required to evaluate the state of a multi-parameter object, the more controlled parameters should be included in this list. The results of measurements and evaluations of all these controlled parameters for each time interval are a large array of information and it is difficult to present it in an optimal form for the decision maker.

The Guide [9] established that with an increase in the number of monitored parameters for simultaneous observation, the intensity of the labor process and the likelihood of making an erroneous decision by the decision maker increase. It was established that during an eight-hour working day a person can accurately control and at the same time make decisions regarding 4–8 heterogeneous controlled parameters. According to [9], the intensity of the labor process in terms of the number of monitored parameters for simultaneous observation is considered optimal when there are no more than 5. If the number of monitored parameters for simultaneous observation increases to 10, then this indicator is considered acceptable. With the number of monitored parameters for simultaneous observation of more than 11, the work is considered harmful.

In accordance with [10], the probability of error-free actions of the decision maker depends on the number of parameters for simultaneous observation and the time to make a decision (see figure 6).

By the speed of control of a multi-parameter object, the authors of the alleged invention understand the speed of making a managerial decision, which consists in the timely development and full implementation of managerial impact.

In accordance with [11], the parameter characterizing the efficiency of managerial decision-making is the coefficient of decision-making efficiency determined by the formula:

where T ₁ - decision time for the basic version of the work, sec;

T ₂ - decision time for the proposed embodiment, sec.

секунд. И учитывая, что комплексный параметр, характеризующий состояние МПО объединяет в себе информацию обо всех n контролируемых параметров,

секунды и получаем, что оперативность принятия решения на основе комплексного параметра повышается в n раз. И, если в техническом примере, приведенном в прототипе [3], многопараметрический объект характеризуется n = 18 контролируемых параметров и минимальное время принятия решения составит

секунд, то коэффициент оперативности принятия решения определяемый по формуле (4) будет равен:It is believed that a person needs at least two seconds to comprehend the information in graphical form using one controlled parameter. Therefore, to comprehend information about n controlled parameters, at least

seconds. And given that the complex parameter characterizing the state of MPO combines information about all n controlled parameters,

seconds and we get that the efficiency of decision-making based on a complex parameter increases n times. And, if in the technical example given in the prototype [3], the multiparameter object is characterized by n = 18 controlled parameters and the minimum decision time is

seconds, the coefficient of decision-making efficiency determined by the formula (4) will be equal to:

раз.

time.

Efficiency of decision making on the basis of a complex parameter will be 18 times higher. Given the data shown in figure 6, the accuracy of the decision, with a decrease in the number of monitored parameters, increase from a probability of 0.4470 - 0.7830 (with 18 monitored parameters) to a probability of 0.8550 - 1.0000 (with 1 monitored parameter).

Thus, the more controlled parameters the decision maker needs to evaluate, the more time it will take, and in times of shortage of time in a critical situation, the probability of making an erroneous decision significantly increases.

Reliability of monitoring the state of a multi-parameter object is the degree of objective compliance of the monitoring results with the actual state of a multi-parameter object [5].

Reliability of control as a whole D is an indicator of the degree of objective display by the results of monitoring the actual state of a multi-parameter object [12]:

where R _l.o. - the probability of a false perception of the situation;

P _but - the probability of underestimating the situation.

This expression shows that as a result of control, three events are possible that make up the full group and occur with the corresponding probability:

- a correct assessment of the situation;

- false perception of a situation that was not;

- underestimation of the situation.

False perception of a situation that did not exist (R _L.O. ) and underestimation of the situation (R _but ) is the probability of making an erroneous decision by the decision-maker when assessing the state of a multi-parameter object based on the results of complex control of a multi-parameter object based on heterogeneous information.

For the option considered in the prototype, as shown in figure 6, the probability of making an erroneous decision is 0.2170 - 0.5530, for the proposed option 0.0000 - 0.2170.

. Calculated by the formula (5), the reliability of the multi-parameter control in the known method will be equal to

.

The alleged invention is aimed at increasing the efficiency and reliability of the control of a multi-parameter object (dynamic systems, processes).

To do this, in the well-known method of comprehensive monitoring of the state of a multi-parameter object according to heterogeneous information, namely that:

и нижних

контрольных границ для каждого контролируемого параметра

многопараметрического объекта;- form a range of acceptable values by establishing upper

and lower

control boundaries for each controlled parameter

multi-parameter object;

контролируемых параметров многопараметрического объекта;- measure and record the values of the measurement results

controlled parameters of a multi-parameter object;

;- determine and record the values of signs of compliance with the measurement results and permissible values

;

- monitor the state of the multi-parameter object;

- form the results of the control of the parameters of the multiparameter object in the form of an object state matrix, the number and number of elements of which correspond to the number and numbers of the controlled parameters of the object, while the matrix elements are assigned the calculated values of the correspondence signs, and in the form of a colorographic form, which is a figure formed in the polar coordinate system , which is interpreted as an image of the state of the object of control at the time of completion of measurements in a given time interval;

- display the results of the control of the parameters of a multi-parameter object in the form of colorographic images;

,- determine the trends in the values of the parameters of the multiparameter object for consecutive time intervals

,

Additionally, for each controlled parameter (j = 1 ... n) of a multi-parameter object:

- form ranges:

и нижней

предупредительных границ,- normal values from the range of acceptable values by setting the upper

and bottom

warning boundaries

и нижней

контрольных границ,- limit values outside the range of acceptable values by introducing the upper

and lower

control boundaries

и нижней

предельных границ,- transcendental values outside the range of limiting values by introducing the upper

and lower

boundary limits

установленным диапазонам допустимых, предельных и запредельных значений:- determine and record the values of signs of conformity of the measurement results and permissible, limit and transcendental values

established ranges of permissible, limit and transcendental values:

- for the range of acceptable values (i = 1):

- for the range of limit values (i = 2):

- for the range of transcendental values (i = 3):

,

– значения соответственно нижней и верхней предупредительной границы,Where

,

- values of the lower and upper warning limits, respectively

,

– значения соответственно нижней и верхней контрольной границы,

,

- values, respectively, of the lower and upper control boundaries,

,

– значения соответственно нижней и верхней предельной границы,

,

- values of the lower and upper limit, respectively,

для диапазонов допустимых, предельных и запредельных значений по формулам:- determine and record complex indicators of the state of a multi-parameter object

for the ranges of permissible, limit and transcendental values by the formulas:

- a comprehensive indicator of the state of a multi-parameter object for a range of acceptable values (i = 1):

- a comprehensive indicator of the state of a multi-parameter object for the range of limit values (i = 2):

- a complex indicator of the state of a multi-parameter object for a range of transcendental values (i = 3):

следующим образом: - control complex indicators of the state of a multi-parameter object for compliance with the ranges of normal, permissible, limit and transcendental values

in the following way:

- if the complex indicator of the state of the multiparameter object for the range of acceptable values is zero, then the values of all parameters of the multiparameter object are within the range of normal values,

- if the complex indicator of the state of the multiparameter object for the range of acceptable values is greater than zero, then the values of at least one parameter of the multiparameter object are outside the range of normal values,

- if the complex state indicator of the multiparameter object for the range of limit values is zero, then all parameters of the multiparameter object are within the range of normal or allowable values,

- if the complex state indicator of the multiparameter object for the range of limit values is greater than zero, then the values of at least one parameter of the multiparameter object are outside the range of acceptable values,

- if the complex indicator of the state of a multiparameter object for the range of transcendental values is zero, then all parameters of the multiparameter object are within the range of normal, permissible or limit values,

- if the complex indicator of the state of a multi-parameter object for a range of transcendental values is greater than zero, then the values of at least one parameter of a multi-parameter object are outside the range of limit values,

- control the multi-parameter object for compliance with normal, permissible, critical and emergency conditions as follows if:

- the complex indicators of the state of a multi-parameter object for ranges of permissible, limit and transcendental values are zero, then the state of the multi-parameter object is normal;

- the complex indicators of the state of a multiparameter object for a range of permissible values are greater than zero, the complex indicators of the state of a multiparameter object for a range of limit and transcendent values are zero, then the state of the multi-parameter object is valid;

complex indicators of the state of a multi-parameter object for the range of permissible and limit values are greater than zero, complex indicators of the state of a multi-parameter object for ranges of transcendental values are zero, then the state of the multi-parameter object is critical;

- complex indicators of the state of a multi-parameter object for ranges of permissible, limiting and transcendental values greater than zero, then the state of the multi-parameter object is emergency;

- display the results of the control of a multi-parameter object by constructing a graphic image in the form of an indicator of green, yellow, red and black colors for the normal, permissible, critical and emergency states of a multi-parameter object, respectively.

The essence of the proposed method for comprehensive monitoring of the state of a multi-parameter object according to heterogeneous information is to increase the efficiency and reliability of monitoring a multi-parameter object (dynamic systems, processes):

- additional boundaries are introduced for each controlled parameter, set within the ranges of permissible and limit values,

- a complex indicator of the state of a multi-parameter object is determined, showing what state (normal, permissible, critical, emergency) the multi-parameter object is in at a given time.

These actions also lead to an increase in the efficiency of adoption and implementation of the control action.

The implementation algorithm of the proposed method is shown in figure 7.

In addition to the range of acceptable values formed in the known method, within the range of acceptable values for each controlled parameter of a multi-parameter object, by introducing the upper and lower warning boundaries, we form a range of normal values.

Within the range of limit values for each controlled parameter of a multi-parameter object, by introducing the upper and lower limit boundaries, we form a range of limit values.

Using the measured and recorded values of the monitored parameter of the multiparameter object, using formulas (6 - 8), we determine the values of the parameters of the correspondence of the monitored parameter of the multiparameter object to the established ranges of normal, permissible, limit and transcendental values.

Based on them, according to formulas (9 - 11) for the controlled parameters, the values of which are outside the range of normal values, we determine the complex indicator of the state of a multi-parameter object for the ranges of permissible, limit and transcendental values.

Having established the range for each complex state indicator from the results of the control, we determine the state of the multiparameter object.

We display the results obtained by constructing graphical images - histograms and tables, as well as in the form of an indicator of green, yellow, red and black colors for the normal, permissible, critical and emergency states of a multi-parameter object, respectively.

The figure 7 shows the algorithm for the implementation of the proposed method for comprehensive monitoring of the state of a multi-parameter object according to heterogeneous information.

The figure 8 shows the division of the field changes the values of the monitored parameters of the multiparameter object into the ranges of normal, permissible, limit and transcendental values by introducing the lower and upper warning and limit limits.

The figure 9 illustrates the process of forming a complex indicator of the state of a multi-parameter object.

The figure 10 shows graphical images of complex indicators of the state of a multi-parameter object in the form of histograms for the ranges: a) allowable, b) limit, c) extreme values.

The figure 11 shows a diagram of the selection and implementation by a decision maker of a control action that transfers a controlled multi-parameter object to the desired state.

Consider the introduced actions.

Formation of ranges of normal, limit and transcendental values for each controlled parameter of a multi-parameter object.

As noted earlier, each multiparameter object can be in more than two qualitatively different states, each of which is characterized by certain values of the controlled parameters that change under the influence of the load on the multiparameter object.

The safety and reliability of the functioning of a multi-parameter object depends on the ratio of the load acting on the multi-parameter object and its ability to counteract this load, that is, on how much its condition differs from the limit at which the load becomes dangerous and the further functioning of the multi-parameter object is impossible or ineffective. The loss of ability to counteract this load and the possibility of the transition of a multi-parameter object to a different state can be judged by a change in the current values of the monitored parameters. With an increase in the deviation, the danger of transition to the limiting state increases.

According to the authors of the proposed invention, in the complex control of the state of a multiparameter object according to heterogeneous information, it is necessary to distinguish and take into account four possible qualitatively different states of the multiparameter object: normal, permissible, limit and transcendental, separated by boundaries that determine the transition of a multiparameter object from one state to another (see . figure 8). The authors propose to distinguish the state of a multi-parameter object, taking into account changes in its operability, serviceability, maintainability [4]. And justify the choice of the boundaries of its states according to these characteristics.

The normal state of a multi-parameter object is characterized by the values of controlled parameters at which it is able to perform specified functions (operational) and meets all the requirements of normative-technical and (or) design (design) documentation (operational).

The permissible state of a multi-parameter object is characterized by the values of the controlled parameters at which it is able to perform specified functions (operational), but may not meet at least one of the requirements of the normative-technical and / or design (design) documentation (not working).

The limiting state of a multi-parameter object is characterized by the values of controlled parameters at which it is not able to perform the specified functions in full (not operational) and does not meet all the requirements of the normative-technical and / or design (design) documentation (not working), but is maintainable.

The transcendental state of a multi-parameter object is characterized by the values of the controlled parameters at which its further operation is unacceptable or impractical (not serviceable) or restoration of its working state is impossible or impractical (not repairable).

The range of normal values of the monitored parameters forms the state of the multiparameter object, characterized by operating modes that ensure the normal (serviceable, workable) state of the multiparameter object.

The range of permissible values of the monitored parameters forms the state of the multiparameter object, characterized by operating modes that provide an acceptable (not working, operable) state of the multiparameter object.

The range of limit values is characterized by the critical (non-operational, non-operational, but maintainable) state of the multi-parameter object and the values of the monitored parameters leading to damage or complete failure of the multi-parameter object.

The range of transcendental values is characterized by the emergency (non-operational, non-operational, non-repairable) state of a multi-parameter object.

Based on the foregoing, the desired (target) state of the multi-parameter object is the normal state in which the multi-parameter object fulfills the functions assigned to it in its entirety (operational) and meets all the requirements of normative-technical and / or design (design) documentation (operational).

Determination and registration of values of signs of conformity of measurement results and permissible, limit and transcendental values to the established ranges of permissible, limiting and transcendental values.

определяем следующим образом.Values of signs of compliance of controlled parameters with the established ranges of permissible, limit and transcendent values to which numbers are assigned (

defined as follows.

окончания заданного интервала времени

характеризуется совокупностью контролируемых параметров

, которым присвоены номера

. Для каждого контролируемого параметра определены, в соответствии с требованиями нормативно-технической и/или конструкторской (проектной) документации, значения нижних и верхних границ диапазонов нормальных, допустимых и предельных значений.Let the state of a multiparameter object at time

end of a given time interval

characterized by a set of controlled parameters

to which numbers are assigned

. For each controlled parameter, the values of the lower and upper boundaries of the ranges of normal, permissible and limit values are determined, in accordance with the requirements of regulatory and technical and / or design (project) documentation.

с момента времени

- начала сбора разнородных данных

о состоянии многопараметрического объекта, определяем значения каждого контролируемого параметра и формируем совокупность результатов измерений

.In each given time interval

since time

- start collecting heterogeneous data

about the state of a multi-parameter object, we determine the values of each controlled parameter and form a set of measurement results

.

контролируемых параметров по формулам (6 – 8) и фиксируем их в форме таблицы.Based on the totality of the measurement results, we determine the signs of compliance

controlled parameters according to formulas (6 - 8) and fix them in the form of a table.

Definition and registration of complex indicators of the state of a multi-parameter object for ranges of permissible, limit and transcendental values.

Comprehensive indicators have long been used in assessing the quality of a multi-parameter object and, in the traditional sense, a complex quality indicator characterizes a set of interrelated properties (parameters) from the whole set of properties (parameters) that form the quality of a multi-parameter object.

As a synonym for the term “integrated quality indicator”, the concept of a generalized quality indicator is used - a quality indicator that refers to such a set of properties (parameters) of a multi-parameter object, according to which it was decided to evaluate its quality as a whole.

These terms are used when applying the integrated method of assessing the quality of a multi-parameter object based on the use of a complex (generalized) indicator, which is a function of individual indicators (controlled parameters). This method is used in cases where it is most advisable to evaluate the quality of a multi-parameter object with only one value. A complex (generalized) quality indicator of a multi-parameter object is a function that depends on individual indicators [13]:

A comprehensive (generalized) quality indicator of a multi-parameter object must meet several requirements:

- representativeness (representativeness) - the representation of all significant controlled parameters of a multi-parameter object, by which its quality is evaluated;

- monotonicity - a change in the complex quality indicator of a multi-parameter object when any of the individual monitored parameters changes with fixed values of the remaining monitored parameters;

- criticality (sensitivity) to variable controlled parameters, a comprehensive indicator should consistently respond to changes in each of the controlled parameters;

- comparability - comparability of the results of a comprehensive quality assessment, i.e. must be expressed in dimensionless quantities.

The use of a comprehensive method for assessing the quality of a multi-parameter object is associated with the following problems:

- compiling a list of controlled parameters that most fully reflects the quality of a multi-parameter object;

- determination of a comprehensive quality indicator that takes into account all selected controlled parameters and their dimensions;

- Establishment of the functional dependence of a comprehensive quality indicator and controlled parameters.

The described problems in the framework of the proposed method of complex monitoring of the state of a multi-parameter object according to heterogeneous information are solved as follows.

The compilation of a list of controlled parameters that most fully reflects the quality of a multi-parameter object is carried out by experts, based on an in-depth study of the requirements of normative-technical and / or design (project) documentation.

The determination of signs of compliance and complex indicators of the state of a multi-parameter object is carried out according to the formulas (6 - 11), and the use of indicators of compliance allows you to "get rid" of the dimension and consider the analyzed parameters as dimensionless quantities. The introduction of additional boundaries highlighting the ranges of controlled parameters, based on the requirements of normative-technical and / or design (project) documentation, allows us to establish the functional dependencies of a comprehensive quality indicator and controlled parameters.

Thus, the introduction of a comprehensive indicator of the state of a multi-parameter object allows improving the quality of control of a multi-parameter object according to heterogeneous information.

, определяем комплексные показатели состояния многопараметрического объекта для диапазонов допустимых, предельных и запредельных значений контролируемых параметров используя формулы (9 – 11) и фиксируем их в форме таблицы.In the proposed method, using signs of compliance

, we determine the complex indicators of the state of a multi-parameter object for the ranges of permissible, limit and transcendent values of the controlled parameters using formulas (9 - 11) and fix them in the form of a table.

.A comprehensive indicator of the state of a multi-parameter object is a generalized indicator that characterizes the state of a multi-parameter object with respect to a given range of values of controlled parameters at the end of the time interval

.

(когда значения всех n контролируемых параметров вышли за пределы верхних границ соответствующих диапазонов).The value of each complex indicator of the state of a multiparameter object lies in the range from 0 (when none of the values of the controlled parameter exceeded the lower bounds of the corresponding ranges) to

(when the values of all n controlled parameters went beyond the upper boundaries of the corresponding ranges).

The process of forming a comprehensive indicator of the state of a multi-parameter object is illustrated in figure 9.

Monitoring a comprehensive indicator of the state of a multi-parameter object for compliance with the ranges of normal, allowable, limit and transcendental values.

As shown in figure 9, if:

- a complex indicator of the state of a multiparameter object for the range of acceptable values Δ ₁ = 0, then the values of all controlled parameters of the multiparameter object are within the range of normal values,

- a complex indicator of the state of a multiparameter object for the range of acceptable values Δ ₁ > 0, then the values of at least one of the controlled parameters of the multiparameter object are outside the range of normal values,

- a complex indicator of the state of a multi-parameter object for the range of limit values Δ ₂ = 0, then all the controlled parameters of the multi-parameter object are within the range of normal or permissible values,

is a complex indicator of the state of a multi-parameter object for the range of limit values Δ ₂ > 0, then the values of at least one of the controlled parameters of the multi-parameter object are outside the range of acceptable values,

- a complex indicator of the state of a multi-parameter object for the range of transcendental values Δ ₃ = 0, then all the controlled parameters of the multi-parameter object are within the range of normal, permissible or limit values,

is a complex indicator of the state of a multi-parameter object for the range of transcendental values Δ ₃ > 0, then the values of at least one of the controlled parameters of the multi-parameter object are outside the range of limit values.

The control results record them in the form of a table.

, что почти в два раза больше, чем в известном способе.The reliability of the state control of a multi-parameter object according to the formula (5), taking into account the data of figure 6 in the proposed method will be

that is almost two times more than in the known method.

Thus, the use of an indicator that comprehensively evaluates the state of a multi-parameter object increases the reliability of control and allows the decision-maker to quickly make the right control decision.

Monitoring a multi-parameter object for compliance with normal, permissible, critical and emergency conditions.

позволяет сформировать результат контроля путем отнесения текущего состояния многопараметрического объекта к одному из качественно различных возможных состояний:Analysis of the values of the complex indicator of the state of a multi-parameter object at the end of the time interval

allows you to generate a control result by assigning the current state of a multi-parameter object to one of the qualitatively different possible states:

- normal state (values of all controlled parameters of a multiparameter object are in the range of normal values), a complex indicator of the state of a multiparameter object for the range of acceptable values Δ ₁ = 0, a complex indicator of the state of a multiparameter object for control boundaries Δ ₂ = 0, a complex indicator of the state of a multiparameter object for range of transcendental values Δ ₃ = 0;

- permissible state (at least one value from the monitored parameters of the multi-parameter object is in the range of acceptable values), a complex indicator of the state of the multi-parameter object for the range of acceptable values Δ ₁ > 0, a complex indicator of the state of the multi-parameter object for the range of limit values Δ ₂ = 0, a complex indicator the state of a multi-parameter object for the range of transcendental values Δ ₃ = 0;

- critical state (at least one value from the monitored parameters of the multiparameter object is in the range of limit values), a complex indicator of the state of the multiparameter object for the range of acceptable values Δ ₁ > 0, a complex indicator of the state of the multiparameter object for the range of limit values Δ ₂ > 0, a complex indicator the state of a multi-parameter object for the range of transcendental values Δ ₃ = 0;

- emergency state (at least one value from the monitored parameters of the multiparameter object is in the range of out-of-range values), a complex indicator of the state of the multiparameter object for the range of acceptable values Δ ₁ > 0, a complex indicator of the state of the multi-parameter object for the range of limit values Δ ₂ > 0, a complex indicator state of a multi-parameter object for the range of transcendental values Δ ₃ > 0.

Compared with the known method in which there are only two possible states of a multi-parameter object, the proposed method has four of them, which allows a more differentiated assessment of the state of a multi-parameter object.

Display of the MPO control results by constructing a graphic image in the form of an indicator of green, yellow, red and black colors for the normal, permissible, critical and emergency conditions of a multi-parameter object.

To visualize the results of the control of a multi-parameter object using a complex indicator of the state of a multi-parameter object, graphical images are built: histograms (see figure 10).

Graphic images of a complex indicator of the state of a multi-parameter object for ranges of permissible, limit and transcendental values in the form of dynamic value diagrams are shown in figure 10.

And on the basis of the received data, the decision maker selects and implements a control action that transfers the controlled multi-parameter object to the target (desired) state, as shown in
figure 11.

Thus, the set of essential features of the proposed method for the comprehensive monitoring of the state of a multi-parameter object from heterogeneous information forms new properties of the method, namely:

- additional boundaries are introduced that are set within the ranges of permissible and limit values for each controlled parameter of a multi-parameter object,

- a complex indicator of the state of a multi-parameter object is determined, showing which controlled parameter is outside the range of normal values.

The analysis of the prior art made it possible to establish that analogues that are characterized by a combination of features identical to all the features of the claimed technical solution are absent, which indicates compliance of the claimed invention with the “novelty” protection criteria.

The search results for known solutions in this and related fields of technology in order to identify signs that match the distinctive features of the proposed method showed that no solutions having signs matching its distinctive features were found in publicly available information sources.

The prior art also does not confirm the popularity of the influence of the distinctive features of the claimed invention on the technical result indicated by the applicant, therefore, the claimed invention meets the condition of "inventive step".

The proposed technical solution is industrially applicable, since standard equipment and materials can be used for its implementation.

The possibility of implementing the proposed method for the integrated control of the states of a multi-parameter object according to heterogeneous information is confirmed by the following examples.

Industry. An object is a technical device in which four parameters are controlled (n = 4). For each of the parameters, the boundaries of the ranges are established, the values of which are shown in figure 12 (without specifying the units of measurement).

Known results of measurements of controlled parameters at the end of 12 time intervals (k = 1 ... 12), which are shown in figure 13.

контролируемых параметров (j=1…4) установленным диапазонам допустимых (i=1), предельных (i=2) и запредельных (i=3) значений (фигура 14 таблицы 1 - 4).Based on the data of figure 13 and in accordance with formulas (7 - 9), the values of the indicators of compliance are determined

monitored parameters (j = 1 ... 4) to the established ranges of permissible (i = 1), limit (i = 2) and prohibitive (i = 3) values (figure 14 of table 1-4).

The figure 15 shows the values of the complex indicators of the state of a multi-parameter object for the allowable, limit and transcendental ranges of the values of four controlled parameters of a multi-parameter object determined by the formulas (10 - 12).

The figure 10 shows a diagram of complex indicators of the state of a multi-parameter object for 12 time intervals.

The figure 16 shows the qualitative state of a multi-parameter object for 12 time intervals.

In the case when any complex indicator of the state of a multi-parameter object is not equal to zero, the analysis of compliance indicators δ _{ij is} carried out to identify a controlled parameter whose value is outside the range of normal values. The results for the considered 12 time intervals are shown in figure 17.

Based on the data received, the responsible person makes decisions that meet the established requirements for the controlled object. For example, if the parameter values are repeated that belong to the range of limit values, you should check the state of the element whose parameter is outside the range of acceptable values in order to debug it, repair it, or replace it in time. If the value of the controlled parameter falls outside the range of limit values, leading to the emergency state of the object, immediate measures should be taken to repair or replace the failed element of the object.

The following are examples of setting the boundaries of the ranges of controlled parameters of multi-parameter objects related to health and environmental protection.

Healthcare The object is a middle-aged man lying in a hospital with the following parameters monitored: body temperature, upper pressure (systolic), lower pressure (diastolic) and pulse. Based on the known statistics for the controlled parameters of a person, the boundaries shown in FIG. 18 can be set.

Depending on the ranges in which the parameters of the person are, the doctor makes decisions on the prescription of any medication and / or resuscitation.

Environmental protection. Object - the environment of an industrial enterprise, where it is constantly monitored. Among the controlled ones, the most interesting are the content of chlorine, ammonia in the air of the village, the noise level and the electric field strength at the border of the housing estate.

For each of the controlled parameters, according to the regulatory legal documents, the maximum permissible parameters (boundaries) for the settlement are set, the values of which are shown in figure 19.

The boundary values for the chlorine (Cl) content are formed as follows.

The upper control limit is set at the average daily maximum permissible concentration (MPC _SS ) of a substance in the air of a settlement [14].

The upper warning limit is set at 70% of the MAC _MP .

The upper limit is set at the lower limit of the lethal ammonia concentration of 300 mg / m ³ according to [15].

The boundary values for the content of ammonia (NH ₃ ) are formed as follows.

The upper control limit is set at the average daily maximum permissible concentration (MPC _SS ) of a substance in the air of a settlement [14].

The upper warning limit is set at 70% of the MAC _MP .

The upper limit is set at the lower limit of the lethal ammonia concentration of 1,500–2,700 mg / m ³ according to [16].

The boundary values for the noise level are formed as follows.

The upper control limit is set at the equivalent sound level in residential buildings [17].

The upper warning limit is set at 70% of the equivalent sound level in residential buildings.

The upper limit is set at a threshold of pain equal to 120 dBA [18].

The boundary values for the electric field are formed as follows.

The upper control limit is set at the maximum permissible level of electric field strength (PDE NEP) [17].

The upper warning limit is set at 70% of the NEP PDU.

The upper limit is set by the NEP remote control in which it is allowed to work without protective equipment [19].

When the controlled parameter of the multi-parameter object approaches the warning boundary, the effectiveness of the protective equipment is checked. Namely, environmental protection equipment for chemical controlled parameters, sound-absorbing and insulating casings for acoustic electrical controlled parameters.

The output of the values of the controlled parameters to the control border indicates a malfunction of protective equipment and the need for their repair or replacement.

The output of the values of the controlled parameters to the limit border indicates the pre-emergency operation mode and the need for urgent intervention in the operation of the equipment.

Another technical result of introducing additional boundaries is the extension of the scope of the method to multi-parameter objects (dynamic systems, processes) with rapidly changing controlled parameters. For example, …..

Thus, the invention relates to methods for the comprehensive monitoring of the state of multi-parameter objects (dynamic systems, processes) according to heterogeneous information and can be used in diagnostic and control systems of objects (dynamic systems, processes) to quickly obtain reliable information about the state of spatially distributed and / or concentrated multiparameter objects according to heterogeneous information.

The claimed invention can be used in industry, healthcare, other sectors of the economy, environmental protection or in the social sphere, where monitoring and determination of trends in the state of a multi-parameter object are necessary.

The essence of the proposed method for the comprehensive monitoring of the state of a multi-parameter object according to heterogeneous information is that to increase the efficiency and reliability of monitoring multi-parameter objects (dynamic systems, processes):

- additional boundaries are introduced for each controlled parameter, set within the ranges of permissible and limit values,

- a complex indicator of the state of a multi-parameter object is determined, showing what state (normal, permissible, critical, emergency) the multi-parameter object is in at a given time.

These actions also lead to an increase in the efficiency of adoption and implementation of the control action.

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17. Sanitary norms SN 2.2.4 / 2.1.8.562-96 “Noise at workplaces, in residential, public buildings and residential buildings” (approved by the Decree of the State Committee for Sanitary and Epidemiological Supervision of the Russian Federation No. 36 of October 31, 1996)

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19. Sanitary and epidemiological rules and standards of SanPiN 2.2.4.1191-03 "Electromagnetic fields in a production environment" (approved by the Chief State Sanitary Doctor of the Russian Federation on January 30, 2003)

Claims (40)

The method of comprehensive monitoring of the state of a multi-parameter object according to heterogeneous information, which consists in the fact that: - form a range of acceptable values by establishing upper

and lower

control boundaries for each controlled parameter

multiparameter object (j = 1 ... n); - measure the controlled parameters of the multi-parameter object and record the measurement results

; - determine and record the values of signs of compliance with the measurement results and permissible values

; - monitor the state of the multi-parameter object; - form the results of the control of the parameters of the multiparameter object in the form of an object state matrix, the number and number of elements of which correspond to the number and numbers of the controlled parameters of the object, while the matrix elements are assigned the calculated values of the correspondence signs, and in the form of a colorographic form, which is a figure formed in the polar coordinate system , which is interpreted as an image of the state of the object of control at the time of completion of measurements in a given time interval; - display the results of the control of the parameters of a multi-parameter object in the form of colorographic images; - determine the trends in the values of the parameters of the multiparameter object for consecutive time intervals

, characterized in that for each controlled parameter of the multiparameter object: - form ranges: - normal values from the range of acceptable values by setting the upper

and lower

warning boundaries - limit values outside the range of acceptable values by introducing the upper

and lower

control boundaries - transcendental values outside the range of limiting values by introducing the upper

and lower

boundary limits - determine and record the values of signs of conformity of the measurement results and permissible, limit and transcendental values

established ranges of permissible, limit and transcendental values: - for the range of acceptable values:

, - for the range of limit values:

, - for a range of transcendental values:

, - determine and record complex indicators of the state of a multi-parameter object

for the ranges of permissible, limit and transcendental values by the formulas: - a comprehensive indicator of the state of a multi-parameter object for a range of acceptable values:

, - a comprehensive indicator of the state of a multi-parameter object for a range of limit values:

, - a comprehensive indicator of the state of a multi-parameter object for a range of transcendental values:

, - control complex indicators of the state of a multi-parameter object for compliance with the ranges of normal, permissible, limit and transcendental values

in the following way: - if the complex indicator of the state of the multiparameter object for the range of acceptable values is zero, then the values of all parameters of the multiparameter object are within the range of normal values, - if the complex indicator of the state of the multiparameter object for the range of acceptable values is greater than zero, then the values of at least one parameter of the multiparameter object are outside the range of normal values, - if the complex state indicator of the multiparameter object for the range of limit values is zero, then all parameters of the multiparameter object are within the range of normal or allowable values, - if the complex state indicator of the multiparameter object for the range of limit values is greater than zero, then the values of at least one parameter of the multiparameter object are outside the range of acceptable values, - if the complex indicator of the state of a multiparameter object for the range of transcendental values is zero, then all parameters of the multiparameter object are within the range of normal, permissible or limit values, - if the complex indicator of the state of a multi-parameter object for a range of transcendental values is greater than zero, then the values of at least one parameter of a multi-parameter object are outside the range of limit values, - control the multi-parameter object for compliance with normal, permissible, critical and emergency conditions

as follows if: - the complex indicators of the state of a multi-parameter object for ranges of permissible, limit and transcendental values are zero, then the state of the multi-parameter object is normal; - the complex indicators of the state of a multiparameter object for a range of permissible values are greater than zero, the complex indicators of the state of a multiparameter object for a range of limit and transcendent values are zero, then the state of the multi-parameter object is valid; - the complex indicators of the state of a multi-parameter object for a range of permissible and limit values are greater than zero, the complex indicators of the state of a multi-parameter object for ranges of transcendental values are zero, then the state of the multi-parameter object is critical; - complex indicators of the state of a multi-parameter object for ranges of permissible, limiting and transcendental values greater than zero, then the state of the multi-parameter object is emergency; - display the results of the control of a multi-parameter object by constructing a graphic image in the form of an indicator of green, yellow, red and black colors for the normal, permissible, critical and emergency states of a multi-parameter object, respectively.

Images