In this paper, an algorithm for integrating software modules in the creation of a software package for information monitoring and decision-making of continuous production stages has been developed. The software complex consists of several modules. Modules installed in the client-server hardware, such as authentication, reading data from a video surveillance device, reading data from electronic scales, data entry, integration, information monitoring, decision-making modules. The data recorded by integrating the data is stored in a database on the server. Each program acts as a module and transmits data to another module. An integration algorithm was developed using an ontological approach to integrate software modules. This builds an ontology for each software module. Classes are developed based on ontology, and application modules are integrated based on class attributes. Metadata is stored in each class and attribute. Through the core class, metadata is received and transmitted from the program modules.
Today, the society is rapidly developing computerization and automation, the creation
of software tools and complexes for information monitoring and decision-making.
[
Until recently, the tasks entrusted to specialists were designed and implemented
through hardware and software tools and software packages [
Lack and availability of information monitoring systems in manufacturing
enterprises is also different, the requirements for information monitoring systems are
different, bringing flexible software packages to the level of demand is becoming a
problem [
When creating a software package for information monitoring and decision-making of continuous production stages of manufacturing enterprises, the problem of integrating software modules into one system arises.
In this case, it is necessary to monitor the information through the data sets X i {x1 , x2 , ..., x n } X at the stages of continuous production through computer systems installed on the basis of computer networks of the enterprise and to make decisions pi P on the basis of monitoring parameters Yi {y1 , y2 , ..., yn1}Y from the stage of continuous production si S (Figure 1).
xi X yi Y pi P
The software complex is built on the basis of client-server architecture [
In order to create a complete software complex, the task was to implement the
problem of integration of several software modules on the basis of an algorithm
developed through an ontological approach [
The integration scheme of the software modules through the ontological approach is presented in the form in Figure 2. It builds ontologies to store the metadata used in the integration of each module, collects data using the integration module, and stores it in a server database. In this: - T - A set of concepts, terms, and classes based on them that are defined in ontology O for the subject area. For example, the weight of the oil seed, the date of acceptance, the state number of the machine, the type of oil seed; - R - a set of relationships between classes in a subject area. For example, the data exchange relationship between the data entry class and the electronic balance class; - F - a set of functions that connect many attributes and relationships that are considered in the ontology O . For example, procedures that read data from electronic scales and store them in the data structure.
In the integration process, the identification, attribute, and relationship of each class to other classes is described as follows:
In the integration algorithm through the ontological approach, integration is done through the comparison of classes and the interrelationships between class attributes.
The ontology is formally expressed as follows: (1) (3)
In this: I - class identifier; A - set of attributes; P - a set of senior classes; С - a set of lower-level terms.
The set of attributes is defined as follows:
A {N , Tp , K ,V }, T {{I},{A},{P},{C}}, (2)
Semantic metadata is used to describe ontological objects (Figure 4). Metadata is structured data that describes the content of data sources or databases.
Formally, metadata can be expressed as follows:
M {Ti } {Exi }, (4)
In this: Ti - many terms in ontology related to the system i ; Exi - a set of copies of terms in ontology О ;
There are three types of metadata in the software package: - Systematic - service information required for the operation of information system functions; - Structured - The information monitoring system is designed to describe general information about the location, name, size of objects; - Semantic - used to describe the meaning of an object within a system and its relationship to other objects.
In ontology О the semantic relationship is taken as the predicate defined in О , and this is determined by the set of related Z {z1 , z2 , z3 } .
If there is a semantic connection z in О ontology, then z(O) is represented in appearance.
The process of integrating data reading and data input modules from electronic scales is as follows:
O1 {{T1},{R1},{F1}} - ontology U1 of data reading module from electronic scales; O2 {{T2 },{R2 },{F2 }} - ontology U2 of data input module;
The connection between ontologies known from practice refers to the connection between the classes to which they belong, and this can be as follows:
equivalence: z1 : map(T1 ) T2 , if S (T1 , T2 ) b, where b is the default value of the semantic S (T1 , T2 ) relationship, T1 is used to create a map of class O2 in ontology. This means that the class of integrated values in the first programming module also exists in the second ontology. - generalization: z2 : map(T1 ) T2 , T2 {T2i }, if q S (T1 , T2i ) b, where b is the default value of the semantic S (T1 , T2 ) relationship, T1 is used to create a map of class O2 in ontology. This means that the class of integrated values in the first programming module also exists in the second ontology. - identification: z3 : map(T1 ) T2 , T1 {T1i }, if q S (T1i , T2 ) b, where b is the default value of the semantic S (T1 , T2 ) relationship, T1 is used to create a map of class O2 in ontology. This means that the class of integrated values in the first programming module also exists in the second ontology. - partially equivalent: z4 : map(T1 ) T2 , if q S (T1 , T2 ) b, where b is the default value of the semantic S (T1 , T 2 ) relationship, T1 is used to create a map of class O2 in ontology. This means that the class of integrated values in the first programming module also exists in the second ontology. It was found that the intersection of a set of attributes of classes T1 and T2 has common attributes ( A2 A1 ). There is a class T that is the superclass of T1 and T2 . differentiation: z4 : map(T1 ) , T1 , T2 O2 , S (T1 , T2 ) q, q is the limiting value that is not equivalent.
The integration of data reading and data input modules from electronic scales can be expressed as follows:
S O1 , O2 ,U1 ,U2 , Z (5)
Based on the above rules, the integration algorithm is proposed as follows:алгоритми қуйидагича таклиф қилинди:
Step 1. O1 ontology, T1 classes and A1 attributes are formed for U 1 programming module.
Step 2. O2 ontology, T2 classes and A2 attributes are formed for U2 programming module.
Step 3. the semantic connection is determined by S (T1 , T 2 ) .
Step 4. If there is no semantic connection, the algorithm terminates, otherwise it moves to the next step.
Step 5. Integrates through semantic linking.
Step 6. The results are checked.
Step7. The algorithm completes its work.
In this paper, ontologies are built for the integration of modules within the information monitoring and decision-making software package, and software modules are integrated at the data stage through an ontological approach. As an example, an algorithm for integrating modules for reading data from electronic scales, data entry, reading data from a video surveillance device has been developed.