Different industrial data optimal acquisition scheme analysis system and method based on SCADA (Supervisory Control and Data Acquisition) system

Abstract

The invention relates to the technical field of industrial data acquisition and processing, and discloses a different industrial data optimal acquisition scheme analysis system and method based on an SCADA system, and the system comprises an industrial data acquisition information processing module, an industrial data acquisition scheme analysis module, and an industrial data acquisition optimal scheme generation module. According to client target industrial data acquisition scheme type information, in combination with an intelligent identification algorithm and industrial data acquisition scheme equipment composition information, industrial data acquisition scheme equipment composition information efficient retrieval is carried out, and equipment information used by different types of industrial data acquisition schemes is efficiently and scientifically analyzed; the industrial application applicability of the SCADA system is improved; the unit price information of the client target industrial data acquisition scheme composition equipment and the cost information of the client target industrial data acquisition scheme are scientifically and accurately counted, the cost information of different types of industrial data acquisition schemes is autonomously measured on line, and the scientificity of the industrial application of the SCADA system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial data acquisition and processing, and in particular to a system and method for analyzing optimal acquisition solutions for different industrial data based on a SCADA system. Background Art

[0002] SCADA system is a data acquisition and monitoring control system. SCADA system is a computer-based DCS and power automation monitoring system; it has a wide range of applications, and can be applied to data acquisition and monitoring control in the fields of power, metallurgy, petroleum, chemical industry, gas, railways, and process control. It occupies an important position in the telecontrol system, and can monitor and control the operating equipment on site to realize various functions such as data acquisition, equipment control, measurement, parameter adjustment, and various signal alarms, which are known as the "four remote" functions. RTU (remote terminal unit) and FTU (feeder terminal unit) are its important components and play a very important role in the construction of comprehensive automation of substations today. SCADA system involves configuration software and data transmission links; the industrial data acquisition solution used by the existing SCADA system at the industrial application end is based on the artificial industrial data acquisition solution formulated by customer needs, and cannot achieve efficient and intelligent formulation of the optimal industrial data acquisition solution based on customer needs, which reduces the applicability and flexibility of the SCADA system in industrial applications.

[0003] A Chinese invention patent with announcement number CN115186013B discloses a method for data collection and analysis based on aviation equipment. The method collects aviation equipment index systems, determines test subjects, data collection models, test subject data, items and questionnaire questions, establishes an aviation equipment data collection platform, obtains flight parameter device data of aviation equipment in test subjects and data recorded by the comprehensive business system during the experiment, integrates and processes the data for query and statistics, and associates and binds the processed data with the index system, thereby achieving a scientific and effective evaluation of aviation equipment. However, the above technology cannot realize the data collection type based on aviation equipment, and cannot scientifically formulate the optimal aviation equipment data collection plan, which reduces the quality and accuracy of aviation equipment data collection and analysis. Summary of the invention

[0004] 1. Technical issues to be resolved In order to solve the problem that the industrial data collection solution used by the above-mentioned existing SCADA system in the industrial application end is based on the manual industrial data collection solution formulation of customer needs, and it is impossible to efficiently and intelligently formulate the optimal industrial data collection solution based on customer needs, thereby reducing the applicability and flexibility of the SCADA system in industrial applications, the above purpose is to accurately collect the client's industrial data collection demand text information and the client's industrial data collection project budget information, intelligently identify the client's industrial data collection demand key indicator information, scientifically analyze the client's target industrial data collection solution type, accurately analyze the client's target industrial data collection solution equipment composition information, accurately count the client's target industrial data collection solution cost parameters, and scientifically screen the client's optimal industrial data collection solution information.

[0005] (II) Technical solution The present invention is implemented by the following technical solution: a method for analyzing the optimal acquisition schemes of different industrial data, the method comprising the following steps: S1. Collect the client's industrial data collection demand text data and the client's industrial data collection project budget data; S2, preprocessing the client industrial data collection demand text data to generate standard client industrial data collection demand text data and performing industrial data collection demand key indicator parameter identification processing corresponding to the client industrial data collection demand information on the industrial data collection demand key indicator data to generate client industrial data collection demand key indicator data; S3, analyzing and processing the target industrial data collection scheme type required by the client according to the key indicator data of the client's industrial data collection requirements and the industrial data collection scheme type data, and generating the target industrial data collection scheme type data of the client; S4, performing equipment composition analysis and processing for the client target industrial data collection scheme according to the client target industrial data collection scheme type data and the industrial data collection scheme equipment composition data, and generating the client target industrial data collection scheme equipment composition data; S5, collecting and processing the unit price information of the components of the client target industrial data collection scheme according to the equipment composition data of the client target industrial data collection scheme, generating the unit price data of the components of the client target industrial data collection scheme and performing statistical processing on the total cost of the components of the client target industrial data collection scheme, and constructing the cost data of the client target industrial data collection scheme; S6. Analyze and process the optimal industrial data collection solution required by the client based on the project budget information, solution type information, and solution cost information of the client's industrial data collection, and generate optimal industrial data collection solution data for the client; S7. Construct the analysis result data of the optimal industrial data collection solution for the client and execute the analysis result feedback operation of the optimal industrial data collection solution for the client.

[0006] Preferably, the operation steps of collecting the client industrial data collection demand text data and the client industrial data collection project budget data are as follows: S11. Collect the text information of the client's industrial data collection technology requirements online through the SCADA system information input dialog box, and generate the client's industrial data collection requirements text data , the client industrial data collection demand text data includes data transmission capacity text data, data transmission rate text data, data transmission security level text data, industrial application scenario text data and data collection accuracy requirement text data of industrial data collection; Collect the cost budget information of the client's industrial data collection project online through the SCADA system information input dialog box, and generate the client's industrial data collection project budget data ,in The unit is yuan.

[0007] The present invention accurately obtains the demand information and project budget information of the client's industrial data collection online through the SCADA system information input dialog box, so as to provide real data support for accurately identifying the key indicator information of the client's industrial data collection technology.

[0008] Preferably, data preprocessing is performed on the client industrial data collection demand text data to generate standard client industrial data collection demand text data and industrial data collection demand key indicator parameter identification processing corresponding to the client industrial data collection demand information is performed with the industrial data collection demand key indicator data. The operation steps for generating the client industrial data collection demand key indicator data are as follows: S21, using wavelet transform method to collect the text data required by the client industrial data Perform text data noise reduction preprocessing and generate standard client industrial data collection demand text data ; S22. Establish a data set of key indicators for industrial data collection needs , ;in Indicates The key indicator data of industrial data collection requirements corresponding to the types of industrial data collection requirements, Indicates the maximum number of industrial data collection demand types; industrial data collection demand types include data transmission capacity demand type, data transmission rate demand type, data transmission security level demand type, industrial application scenario demand type and data collection accuracy demand type; the industrial data collection demand key indicator data includes data transmission capacity demand key indicator data, data transmission rate demand key indicator data, data transmission security level demand key indicator data, industrial application scenario demand key indicator data and data collection accuracy demand key indicator data; the industrial data collection demand key indicator data represents the industrial data collection professional technical key indicator data corresponding to different types of industrial data collection technical requirements; S23, using a breadth-first search algorithm to collect the standard client industrial data demand text data Key indicator data collection with the industrial data collection needs Key indicator data required for industrial data collection as described in Perform character matching on the industrial data collection requirement type and search for the standard client industrial data collection requirement text data Corresponding key indicator data of industrial data collection requirements , and generate key indicator data sets for client industrial data collection needs , ,in Indicates Each client needs key indicator data for industrial data collection. Indicates The client industrial data collection needs key indicator data, when the client industrial data collection needs key indicator data set When the generation is not completed, continue to execute the client industrial data collection demand key indicator data set Generate operation instructions.

[0009] The present invention uses a data denoising algorithm to scientifically and accurately generate standard client industrial data collection demand text information and combines a breadth-first search algorithm with standard preset industrial data collection demand key indicator parameters to perform intelligent analysis of client industrial data collection technology key indicator parameters, thereby achieving the effect of efficiently and accurately identifying client industrial data collection technology key indicator information.

[0010] Preferably, the operation steps of analyzing and processing the target industrial data collection scheme type required by the client based on the client's industrial data collection demand key indicator data and the industrial data collection scheme type data to generate the client's target industrial data collection scheme type data are as follows: S31, when the client industrial data collection requires key indicator data set When the generation is completed, establish the industrial data collection scheme type data set , ;in Indicates Types of industrial data collection solutions, Indicates the maximum number of industrial data collection scheme types; the industrial data collection scheme type data indicates standard industrial data collection scheme type information formulated based on the client's industrial data collection key indicator parameters; the standard industrial data collection scheme type information includes specific industrial data collection implementation step process information and industrial data collection equipment product information for different types of industrial data collection schemes; S32, collecting the key indicator data required by the client industrial data collection Key indicator data of the client's industrial data collection requirements to Data collection with the industrial data collection solution type Industrial data collection solution type data described in Perform keyword matching of key indicators of industrial data collection and search for key indicator data of industrial data collection requirements of the client to Corresponding industrial data collection solution type data , and generate the client target industrial data collection solution type data set through data identification ; Execute and generate the client target industrial data collection scheme type data set The specific steps are as follows: S321, initializing parameters and updating the maximum number of iterations T of the algorithm; S322, initializing the industrial data collection scheme to identify the location of the seagull population, that is, the industrial data collection scheme identifies the seagull population and updates it in the industrial data collection scheme type data set Position in the search space; S323: Calculate the industrial data collection scheme type data set All the industrial data collection solutions of the type data Key indicator data with the client's industrial data collection needs to The fitness value in the industrial data collection scheme type data set is retained Search space for key indicator data related to the client's industrial data collection needs to The industrial data collection scheme type data with the largest fitness value The global optimal position of S324, Migration, Global Search: There are three main steps in the industrial data collection scheme to identify the migration behavior of seagulls. The first step is to meet the requirements of the industrial data collection scheme type data set. Different industrial data collection schemes in the search space identify the conditions for avoiding collisions between individual seagulls; secondly, the data set of the industrial data collection scheme type is calculated. Search space for key indicator data related to the client's industrial data collection needs to Match the industrial data collection solution type data The best location direction; third, according to the key indicator data of the client's industrial data collection needs to Match the industrial data collection solution type data Move the direction of the best position to a new position; S3241, calculating the industrial data collection scheme to identify the seagull in the industrial data collection scheme type data set Search space for new positions that do not collide with adjacent industrial data collection schemes to identify seagulls during movement ; , ;in Represents an industrial data collection solution that identifies the seagull in the industrial data collection solution type data set The current position in the search space, Indicates the current iteration number; Represents an industrial data collection solution that identifies the seagull in the industrial data collection solution type data set Movement behavior in the search space; Indicates control A function of the frequency of change, Indicates the maximum number of iterations; S3242, calculating the data set of the industrial data collection scheme type Search space for key indicator data related to the client's industrial data collection needs to Match the industrial data collection solution type data The best position direction ; , ,in Represents the industrial data collection solution type data set Search the search space to find out the key indicator data related to the industrial data collection needs of the client to Match the industrial data collection solution type data The current best position, Identify the data set of the available power storage capacity of the distributed renewable energy generation end at the user end for the industrial data collection solution Current position in the search space; represents a random number that balances global and local search capabilities, Represents a random number in the interval [0,1]; S3243, according to the key indicator data of the client industrial data collection requirements to Match the industrial data collection solution type data Move to the new position in the direction of the best position ,in , that is, according to the direction of the best position in the industrial data collection scheme type data collection Search the search space to find out the key indicator data related to the industrial data collection needs of the client to Match the industrial data collection solution type data new location; S325, attacking prey, local search, industrial data collection scheme identifying seagulls in the industrial data collection scheme type data set Attacks in the search space and key indicator data of the client's industrial data collection requirements to Match the industrial data collection solution type data The prey performs spiral motion in the air, while identifying key indicator data related to the client's industrial data collection needs to Match the industrial data collection solution type data , industrial data collection solution identifies the new position of a seagull after attacking its prey , , that is, the industrial data collection scheme identifies the seagull in the industrial data collection scheme type data set Search the search space to find out the key indicator data related to the industrial data collection needs of the client to Match the industrial data collection solution type data ; S326: Determine whether the maximum number of iterations is met, and then output the key indicator data required by the client industrial data collection. to Match all the industrial data collection solutions ; If not satisfied, return to step S323; S327: Output all the industrial data collection scheme type data in step S326 Generate client target industrial data collection solution type data set through data identification , ,in Indicates Client target industrial data collection solution type data, Indicates Client target industrial data collection solution type data.

[0011] The present invention achieves the effect of customized and scientific matching of the client's industrial data collection solution by accurately analyzing the type of industrial data collection solution required by the client based on the key indicator parameters of the client's industrial data collection needs combined with the artificial intelligence Seagull optimization algorithm and scientifically stored industrial data collection solution type parameters.

[0012] Preferably, the operation steps of performing equipment composition analysis and processing of the client target industrial data collection scheme used according to the client target industrial data collection scheme type data and the industrial data collection scheme equipment composition data to generate the client target industrial data collection scheme equipment composition data are as follows: S41. Establishing the data collection matrix of industrial data collection equipment ,in Indicates The industrial data collection solution equipment corresponding to the industrial data collection solution type constitutes a data set, where , ,in Indicates the data set composed of the equipment of the industrial data collection solution Middle The industrial data collection solution equipment composition data corresponding to each industrial data collection device; Indicates the maximum number of industrial data collection equipment used in the industrial data collection scheme type, wherein the industrial data collection scheme equipment composition data includes product name information, product model specification information and product manufacturer information of the industrial data collection equipment; S42, using a depth-restricted search algorithm to collect the client target industrial data collection solution type data set The client target industrial data collection solution type data described in to Together with the industrial data acquisition solution equipment, a data collection matrix is ​​formed The industrial data collection solution described in the data collection consists of equipment Perform industrial data collection scheme type character matching to analyze the client target industrial data collection scheme type data to The corresponding industrial data collection solution equipment constitutes a data set , and generate the client target industrial data collection solution equipment data set matrix through data identification ,in Indicates the client target industrial data collection solution type data The corresponding client target industrial data collection solution equipment constitutes the data set, , ,in Represents the client target industrial data collection solution equipment composition data set Middle The client target industrial data collection solution equipment composition data corresponding to the industrial data collection equipment; Indicates the client target industrial data collection solution type data The corresponding client target industrial data collection solution equipment constitutes the data set, ,in Represents the client target industrial data collection solution equipment composition data set Middle The client target industrial data collection solution equipment composition data corresponding to each industrial data collection device.

[0013] The present invention achieves the effect of efficiently and scientifically analyzing the equipment information used by different types of industrial data collection solutions by combining a depth-restricted search algorithm with the industrial data collection solution equipment composition information according to the client's target industrial data collection solution type information, thereby achieving the effect of efficiently and scientifically analyzing the equipment information used by different types of industrial data collection solutions.

[0014] Preferably, the operation steps of collecting and processing the unit price information of the component equipment used in the client target industrial data collection scheme according to the device component data of the client target industrial data collection scheme are as follows, generating the unit price data of the component equipment used in the client target industrial data collection scheme and performing statistical processing on the total cost of the component equipment used in the client target industrial data collection scheme, and constructing the cost data of the client target industrial data collection scheme are as follows: S51, using the KD tree nearest neighbor search algorithm to organize the client target industrial data collection solution equipment into a data set matrix The client target industrial data collection solution described in the equipment composition data set to The corresponding client target industrial data collection solution equipment composition data And the client's target industrial data collection solution equipment composition data Input the unit price information of the equipment used for industrial data collection into the online shopping platform for online search and collection, and generate the client's target industrial data collection plan to form the equipment unit price data set matrix ,in Indicates the client target industrial data collection solution type data The corresponding client target industrial data collection solution constitutes the equipment unit price data set, ,in Indicates the equipment unit price data set composed of the client target industrial data collection solution Middle The client target industrial data collection solution corresponding to each industrial data collection device constitutes the equipment unit price data; Indicates the client target industrial data collection solution type data The corresponding client target industrial data collection solution constitutes the equipment unit price data set, ,in Indicates the equipment unit price data set composed of the client target industrial data collection solution Middle The client target industrial data collection solution corresponding to each industrial data collection device constitutes the equipment unit price data; and The unit of all is Yuan; S52: compose a data set matrix of equipment unit price for the client target industrial data collection solution The client target industrial data collection solution described in the above is composed of equipment unit price data set to The corresponding client target industrial data collection solution constitutes the equipment unit price data The client's target industrial data collection solution constitutes the equipment unit price data According to the classification of industrial data collection scheme types, the total cost of each industrial data collection scheme using equipment is numerically summed and statistically processed, and a cost data set of the client's target industrial data collection scheme is generated. ,in Indicates the client target industrial data collection solution type data The corresponding client target industrial data collection solution cost data, Indicates the client target industrial data collection solution type data The corresponding client target industrial data collection solution cost data; , ,and and The unit is Yuan.

[0015] The present invention achieves the effect of online autonomous calculation of cost information of different types of industrial data collection solutions by scientifically and accurately calculating unit price information of equipment constituting the client's target industrial data collection solution and cost information of the client's target industrial data collection solution.

[0016] Preferably, the steps of analyzing and processing the optimal industrial data collection solution required by the client based on the project budget information, solution type information and solution cost information of the client industrial data collection and generating the optimal industrial data collection solution data for the client are as follows: S61. Obtaining the budget data of the client industrial data collection project , the client target industrial data collection solution type data set and the client's target industrial data collection solution cost data set ; S62, using a bidirectional search algorithm to collect cost data of the target industrial data collection solution on the client The cost value of the industrial data collection solution is not greater than the budget data of the client industrial data collection project. , and the client target industrial data collection solution cost data with the smallest industrial data collection solution cost value corresponds to the industrial data collection solution type number information, and constructs the client's optimal industrial data collection solution type number data ; S63, the client's optimal industrial data collection solution type number data Data collection with the client target industrial data collection solution type The client target industrial data collection solution type data described in to Perform keyword matching of industrial data collection scheme type and search for the optimal industrial data collection scheme type number data of the client The corresponding client target industrial data collection solution type data, and generate the client optimal industrial data collection solution data through data identification .

[0017] The present invention intelligently and accurately analyzes the optimal industrial data collection solution required by the client based on the project budget information, solution type information and solution cost information of the client's industrial data collection in combination with an intelligent search algorithm, thereby achieving the effect of accurately and intelligently analyzing the client's industrial data collection solution type based on cost and key technical indicators.

[0018] Preferably, the steps of constructing the analysis result data of the optimal industrial data collection solution for the client and performing the analysis result feedback operation of the optimal industrial data collection solution for the client are as follows: S71, collecting the client industrial data demand text data , the client industrial data collection project budget data And the client's optimal industrial data collection solution data Perform data combination processing and build the client's optimal industrial data collection solution to analyze the result data ,in ; S72, analyzing the result data of the optimal industrial data collection solution of the client The data is pushed to the SCADA system through the IoT communication network and cooperates with the display screen to perform the client's optimal industrial data collection solution analysis result feedback operation.

[0019] The present invention scientifically constructs the analysis result information of the optimal industrial data collection solution for the client, and efficiently pushes it to the SCADA system online through the Internet of Things communication network and cooperates with the display screen to perform the analysis result feedback operation of the optimal industrial data collection solution for the client, so as to achieve the effect of accurate collection of the analysis results of the industrial data collection solution and visual and efficient feedback.

[0020] The optimal acquisition scheme analysis system for different industrial data based on the SCADA system is used to implement the optimal acquisition scheme analysis method for different industrial data. The system includes an industrial data acquisition information processing module, an industrial data acquisition scheme analysis module, and an industrial data acquisition optimal scheme generation module; The industrial data collection information processing module includes a client industrial data collection demand text information collection unit, a client industrial data collection project budget information collection unit, a client industrial data collection demand text information preprocessing unit, an industrial data collection demand key indicator parameter storage unit, and a client industrial data collection demand key indicator parameter identification unit; The client industrial data collection demand text information collection unit collects the client industrial data collection demand text data through the SCADA system information input dialog box; the client industrial data collection project budget information collection unit collects the client industrial data collection project budget data through the SCADA system information input dialog box; the client industrial data collection demand text information preprocessing unit performs data preprocessing on the client industrial data collection demand text data to generate standard client industrial data collection demand text data; the industrial data collection demand key indicator parameter storage unit is used to store industrial data collection demand key indicator data; the client industrial data collection demand key indicator parameter identification unit performs industrial data collection key indicator parameter identification processing corresponding to the client industrial data collection demand information on the standard client industrial data collection demand text data and the industrial data collection demand key indicator data to generate client industrial data collection demand key indicator data; The industrial data collection scheme analysis module includes an industrial data collection scheme type storage unit, a client target industrial data collection scheme type analysis unit, an industrial data collection scheme equipment composition information storage unit, a client target industrial data collection scheme equipment composition information analysis unit, a client target industrial data collection scheme composition equipment unit price collection unit, and a client target industrial data collection scheme cost measurement unit; The industrial data collection scheme type storage unit is used to store industrial data collection scheme type data; the client target industrial data collection scheme type analysis unit performs client target industrial data collection scheme type analysis and processing based on the client industrial data collection demand key indicator data and industrial data collection scheme type data, and generates the client target industrial data collection scheme type number; the industrial data collection scheme equipment composition information storage unit is used to store industrial data collection scheme equipment composition data; the client target industrial data collection scheme equipment composition information analysis unit performs client target industrial data collection based on the client target industrial data collection scheme type data and industrial data collection scheme equipment composition data. The equipment composition used in the collection scheme is analyzed and processed to generate the equipment composition data of the client target industrial data collection scheme; the unit price collection unit of the equipment composition of the client target industrial data collection scheme is used to collect and process the unit price information of the equipment composition used in the client target industrial data collection scheme based on the equipment composition data of the client target industrial data collection scheme combined with the online shopping platform to generate the unit price data of the equipment composition of the client target industrial data collection scheme; the cost measurement unit of the client target industrial data collection scheme is used to perform statistical processing on the total cost of the equipment composition used in the client target industrial data collection scheme based on the unit price data of the equipment composition of the client target industrial data collection scheme to construct the cost data of the client target industrial data collection scheme; The industrial data collection optimal solution generation module includes a client optimal industrial data collection solution analysis unit, a client optimal industrial data collection solution analysis result construction unit, and a client optimal industrial data collection solution analysis result output unit; The client's optimal industrial data collection solution analysis unit performs analysis and processing of the optimal industrial data collection solution required by the client based on the project budget information, solution type information and solution cost information of the client's industrial data collection, and generates the client's optimal industrial data collection solution data; the client's optimal industrial data collection solution analysis result construction unit is used to construct the client's optimal industrial data collection solution analysis result data; the client's optimal industrial data collection solution analysis result output unit pushes the client's optimal industrial data collection solution analysis result data to the SCADA system through the Internet of Things communication network and cooperates with the display screen to perform the client's optimal industrial data collection solution analysis result feedback operation.

[0021] (III) Beneficial effects The present invention provides an optimal acquisition scheme analysis system and method for different industrial data based on the SCADA system. It has the following beneficial effects: 1. Accurately obtain the client's industrial data collection demand information and project budget information online through the SCADA system information input dialog box, and provide real data support for accurately identifying the key indicator information of the client's industrial data collection technology; use data noise reduction algorithm to scientifically and accurately generate standard client industrial data collection demand text information and combine intelligent search algorithm with standard preset industrial data collection demand key indicator parameters to perform intelligent analysis of client industrial data collection technology key indicator parameters, so as to achieve efficient and accurate identification of client industrial data collection technology key indicator information and improve the industrial application accuracy of SCADA system.

[0022] 2. Accurately analyze the types of industrial data collection solutions required by the client based on the key indicator parameters of the client's industrial data collection needs combined with intelligent search algorithms and scientifically stored parameters of industrial data collection solution types, achieve customized and scientific matching of client industrial data collection solutions, and improve the flexibility of SCADA system industrial applications; efficiently retrieve industrial data collection solution equipment composition information based on the client's target industrial data collection solution type information combined with intelligent recognition algorithms and industrial data collection solution equipment composition information, and achieve efficient and scientific analysis of the equipment information used by different types of industrial data collection solutions, thereby improving the applicability of SCADA system industrial applications; scientifically and accurately calculate the unit price information of the client's target industrial data collection solution equipment and the client's target industrial data collection solution cost information, and achieve online and autonomous calculation of different types of industrial data collection solution cost information, thereby improving the scientific nature of SCADA system industrial applications.

[0023] 3. Through the project budget information, solution type information and solution cost information of the client's industrial data collection combined with the intelligent search algorithm, the optimal industrial data collection solution required by the client is intelligently and accurately analyzed, and the type of industrial data collection solution for the client is accurately and intelligently analyzed based on cost and technical key indicators, thereby improving the intelligence and functional diversity of the industrial application of the SCADA system; scientifically construct the analysis result information of the client's optimal industrial data collection solution, and at the same time, push it to the SCADA system online through the Internet of Things communication network and cooperate with the display screen to perform the feedback operation of the analysis result of the client's optimal industrial data collection solution, so as to realize the accurate collection and efficient visual feedback of the analysis results of the industrial data collection solution, and improve the reliability of the industrial application of the SCADA system. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A schematic diagram of a module of an analysis system for optimal acquisition solutions of different industrial data based on a SCADA system provided by the present invention; Figure 2 A flow chart of the method for analyzing the optimal acquisition solutions for different industrial data provided by the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] The embodiments of the optimal acquisition scheme analysis system and method for different industrial data based on the SCADA system are as follows: Embodiment 1: See also Figure 1 - Figure 2 ,An analysis method for optimal collection schemes of different industrial data, the method comprises the following steps: S1. Collect the client's industrial data collection demand text data and the client's industrial data collection project budget data; S2. Preprocess the client's industrial data collection demand text data to generate standard client's industrial data collection demand text data and perform industrial data collection demand key indicator parameter identification processing corresponding to the client's industrial data collection demand information on the industrial data collection demand key indicator data to generate the client's industrial data collection demand key indicator data; S3. Analyze and process the target industrial data collection scheme type required by the client based on the key indicator data of the client's industrial data collection requirements and the industrial data collection scheme type data, and generate the target industrial data collection scheme type data of the client; S4, performing equipment composition analysis and processing for the client target industrial data collection scheme based on the client target industrial data collection scheme type data and the industrial data collection scheme equipment composition data, and generating the client target industrial data collection scheme equipment composition data; S5. Collect and process the unit price information of the components of the client's target industrial data collection solution according to the equipment composition data of the client's target industrial data collection solution, generate the unit price data of the components of the client's target industrial data collection solution, and perform statistical processing on the total cost of the components of the client's target industrial data collection solution to construct the cost data of the client's target industrial data collection solution; S6. Analyze and process the optimal industrial data collection solution required by the client based on the project budget information, solution type information, and solution cost information of the client's industrial data collection, and generate optimal industrial data collection solution data for the client; S7. Construct the analysis result data of the optimal industrial data collection solution for the client and execute the analysis result feedback operation of the optimal industrial data collection solution for the client.

[0027] For further information, see Figure 1 - Figure 2 The steps for collecting client industrial data collection demand text data and client industrial data collection project budget data are as follows: S11. Collect the text information of the client's industrial data collection technology requirements online through the SCADA system information input dialog box, and generate the client's industrial data collection requirements text data ,The client industrial data collection demand text data includes the data transmission capacity text data of industrial data collection, data transmission rate text data, data transmission security level text data, industrial application scenario text data, and data collection accuracy requirement text data; Collect the cost budget information of the client's industrial data collection project online through the SCADA system information input dialog box, and generate the client's industrial data collection project budget data ,in The unit is yuan.

[0028] Data preprocessing is performed on the client's industrial data collection demand text data to generate standard client industrial data collection demand text data and the industrial data collection demand key indicator data is used to identify the industrial data collection key indicator parameters corresponding to the client's industrial data collection demand information. The steps for generating the client's industrial data collection demand key indicator data are as follows: S21. Use wavelet transform method to collect text data required by client industrial data Perform text data noise reduction preprocessing and generate standard client industrial data collection demand text data ; S22. Establish a data set of key indicators for industrial data collection needs , ;in Indicates The key indicator data of industrial data collection requirements corresponding to the types of industrial data collection requirements, Indicates the maximum number of industrial data collection demand types; industrial data collection demand types include data transmission capacity demand type, data transmission rate demand type, data transmission security level demand type, industrial application scenario demand type and data collection accuracy demand type; industrial data collection demand key indicator data include data transmission capacity demand key indicator data, data transmission rate demand key indicator data, data transmission security level demand key indicator data, industrial application scenario demand key indicator data and data collection accuracy demand key indicator data; industrial data collection demand key indicator data indicates industrial data collection professional technical key indicator data corresponding to different types of industrial data collection technical requirements; S23, using breadth-first search algorithm to collect standard client industrial data demand text data Key indicator data collection for industrial data collection needs Key indicator data for industrial data collection needs Perform character matching on industrial data collection requirement types and search for standard client industrial data collection requirement text data Corresponding key indicator data of industrial data collection requirements , and generate key indicator data sets for client industrial data collection needs , ,in Indicates Each client needs key indicator data for industrial data collection. Indicates The client's industrial data collection needs key indicator data. When the client's industrial data collection needs key indicator data set When the generation is not completed, continue to execute the key indicator data collection required by the client industrial data collection Generate operation instructions.

[0029] Through the cooperation between the client industrial data collection demand text information collection unit and the client industrial data collection project budget information collection unit, the SCADA system information input dialog box is used to accurately obtain the client industrial data collection demand information and project budget information online, providing real data support for accurately identifying the key indicator information of the client industrial data collection technology; the client industrial data collection demand text information preprocessing unit and the client industrial data collection demand key indicator parameter identification unit cooperate with each other, use the data noise reduction algorithm to scientifically and accurately generate standard client industrial data collection demand text information, and combine the intelligent search algorithm with the standard preset industrial data collection demand key indicator parameters to perform intelligent analysis of the client industrial data collection technology key indicator parameters, so as to achieve efficient and accurate identification of the client industrial data collection technology key indicator information and improve the industrial application accuracy of the SCADA system.

[0030] For further information, see Figure 1 - Figure 2 , according to the key indicator data of the client's industrial data collection requirements and the industrial data collection solution type data, the target industrial data collection solution type required by the client is analyzed and processed, and the operation steps for generating the client's target industrial data collection solution type data are as follows: S31. When the client needs key indicator data collection for industrial data collection When the generation is completed, establish the industrial data collection scheme type data set , ;in Indicates Types of industrial data collection solutions, Indicates the maximum number of industrial data collection scheme types; industrial data collection scheme type data indicates standard industrial data collection scheme type information formulated based on the client's industrial data collection key indicator parameters; standard industrial data collection scheme type information includes specific industrial data collection implementation step process information and industrial data collection equipment product information for different types of industrial data collection schemes; S32. Collect key indicator data required by the client's industrial data collection Key indicator data of industrial data collection requirements of mid-client to Data collection with industrial data collection solution type Industrial data collection solution type data Perform keyword matching of key indicators of industrial data collection and search for key indicator data of industrial data collection requirements of clients to Corresponding industrial data collection solution type data , and generate the client target industrial data collection solution type data set through data identification ; Execute and generate client target industrial data collection scheme type data set The specific steps are as follows: S321, initializing parameters and updating the maximum number of iterations T of the algorithm; S322, initializing the industrial data collection scheme to identify the location of the seagull population, that is, the industrial data collection scheme identifies the seagull population and updates it in the industrial data collection scheme type data set Position in the search space; S323. Calculate the data set of industrial data collection scheme type All industrial data collection solution types in Collect key indicator data required by the client's industrial data to The fitness value in the data set is retained in the industrial data collection scheme type data set Key indicator data in the search space and client industrial data collection requirements to Industrial data collection solution type data with the largest fitness value The global optimal position of S324, Migration, Global Search: There are three main steps in the industrial data collection solution to identify the migration behavior of seagulls. The first step is to meet the requirements of the industrial data collection solution type data set. Different industrial data collection schemes in the search space identify the conditions for avoiding collisions between individual seagulls; secondly, calculate the data set of industrial data collection scheme types Key indicator data in the search space and client industrial data collection requirements to Matching industrial data collection solution type data The best location direction; third, according to the key indicator data of the client's industrial data collection needs to Matching industrial data collection solution type data Move the direction of the best position to a new position; S3241, calculate industrial data collection scheme to identify seagull in industrial data collection scheme type data set Search space for new positions that do not collide with adjacent industrial data collection schemes to identify seagulls during movement ; , ;in Represents industrial data collection scheme identification seagull in industrial data collection scheme type data set The current position in the search space, Indicates the current iteration number; Represents industrial data collection scheme identification seagull in industrial data collection scheme type data set Movement behavior in the search space; Indicates control A function of the frequency of change, Indicates the maximum number of iterations; S3242, Computing in industrial data collection scheme type data set Key indicator data in the search space and client industrial data collection requirements to Matching industrial data collection solution type data The best position direction ; , ,in Represents industrial data collection solution type data set Search the search space to find key indicator data related to the client's industrial data collection needs to Matching industrial data collection solution type data The current best position, Identify the available power storage data set of Seagull at the user-side distributed renewable energy generation end for industrial data collection solutions Current position in the search space; represents a random number that balances global and local search capabilities, Represents a random number in the interval [0,1]; S3243, based on the key indicator data required by the client's industrial data collection to Matching industrial data collection solution type data Move to the new position in the direction of the best position ,in , that is, according to the direction of the best position in the industrial data collection scheme type data set Search the search space to find key indicator data related to the client's industrial data collection needs to Matching industrial data collection solution type data new location; S325, attacking prey, local search, industrial data collection scheme identification seagulls in industrial data collection scheme type data set Key indicator data of attacks and client industrial data collection requirements in the search space to Matching industrial data collection solution type data The prey performs spiral motion in the air, while identifying key indicator data related to the client's industrial data collection needs to Matching industrial data collection solution type data , industrial data collection solution identifies the new position of a seagull after attacking its prey , , that is, the industrial data collection scheme identifies the seagull in the industrial data collection scheme type data set Search the search space to find key indicator data related to the client's industrial data collection needs to Matching industrial data collection solution type data ; S326: Determine whether the maximum number of iterations is met, and then output the key indicator data required by the client's industrial data collection. to Match all industrial data collection solution types ; If not satisfied, return to step S323; S327: Output all industrial data collection scheme type data in step S326 Generate client target industrial data collection solution type data set through data identification , ,in Indicates Client target industrial data collection solution type data, Indicates Client target industrial data collection solution type data.

[0031] According to the client's target industrial data collection scheme type data and the industrial data collection scheme equipment composition data, the equipment composition analysis and processing used by the client's target industrial data collection scheme is performed to generate the client's target industrial data collection scheme equipment composition data. The operation steps are as follows: S41. Establishing the data collection matrix of industrial data collection equipment ,in Indicates The industrial data collection solution equipment corresponding to the industrial data collection solution type constitutes a data set, where , ,in Represents the data set composed of industrial data collection equipment Middle The industrial data collection solution equipment composition data corresponding to each industrial data collection device; Indicates The maximum number of industrial data collection equipment used in the industrial data collection solution type. The industrial data collection solution equipment composition data includes the product name information, product model specification information and product manufacturer information of the industrial data collection equipment used; S42, using the depth-restricted search algorithm to collect the client's target industrial data collection solution type data set Client target industrial data collection solution type data to Combined with industrial data acquisition equipment to form a data collection matrix Industrial data collection solution equipment composition data collection Perform character matching on the industrial data collection scheme type and analyze the client's target industrial data collection scheme type data to The corresponding industrial data collection solution equipment constitutes the data set , and generate the client target industrial data collection solution equipment data set matrix through data identification ,in Indicates the client's target industrial data collection solution type data The corresponding client target industrial data collection solution equipment constitutes the data set, , ,in Represents the client's target industrial data collection solution equipment composition data set Middle The client target industrial data collection solution equipment composition data corresponding to the industrial data collection equipment; Indicates the client's target industrial data collection solution type data The corresponding client target industrial data collection solution equipment constitutes the data set, ,in Represents the client's target industrial data collection solution equipment composition data set Middle The client target industrial data collection solution equipment composition data corresponding to each industrial data collection device.

[0032] According to the equipment composition data of the client's target industrial data collection solution, the unit price information of the equipment used in the client's target industrial data collection solution is collected and processed, the unit price data of the equipment used in the client's target industrial data collection solution is generated, and the total cost statistics of the equipment used in the client's target industrial data collection solution are processed. The operation steps for constructing the cost data of the client's target industrial data collection solution are as follows: S51, using the KD tree nearest neighbor search algorithm to organize the client's target industrial data collection solution equipment into a data set matrix The target industrial data collection solution of the client is composed of data sets to Corresponding client target industrial data collection solution equipment composition data And the client's target industrial data collection solution equipment composition data Input the unit price information of the equipment used for industrial data collection into the online shopping platform for online search and collection, and generate the client's target industrial data collection plan to form the equipment unit price data set matrix ,in Indicates the client's target industrial data collection solution type data The corresponding client target industrial data collection solution constitutes the equipment unit price data set, ,in Indicates the client's target industrial data collection solution, which is composed of the equipment unit price data set Middle The client target industrial data collection solution corresponding to each industrial data collection device constitutes the equipment unit price data; Indicates the client's target industrial data collection solution type data The corresponding client target industrial data collection solution constitutes the equipment unit price data set, ,in Indicates the client's target industrial data collection solution, which is composed of the equipment unit price data set Middle The client target industrial data collection solution corresponding to each industrial data collection device constitutes the equipment unit price data; and The unit of all is Yuan; S52. Composing equipment unit price data collection matrix for client target industrial data collection solution The target industrial data collection solution of the client consists of the equipment unit price data collection to The corresponding client target industrial data collection solution consists of equipment unit price data The equipment unit price data is composed of the client's target industrial data collection solution According to the classification of industrial data collection scheme types, the total cost of each industrial data collection scheme using equipment is numerically summed and statistically processed, and a cost data set of the client's target industrial data collection scheme is generated. ,in Indicates the client's target industrial data collection solution type data The corresponding client target industrial data collection solution cost data, Indicates the client's target industrial data collection solution type data The corresponding client target industrial data collection solution cost data; , ,and and The unit is Yuan.

[0033] Through the client target industrial data collection scheme type analysis unit, the client's required industrial data collection scheme type is accurately analyzed based on the key indicator parameters of the client's industrial data collection needs combined with the intelligent search algorithm and the scientifically stored industrial data collection scheme type parameters, so as to achieve customized and scientific matching of the client's industrial data collection scheme and improve the flexibility of the SCADA system in industrial applications; the client target industrial data collection scheme equipment composition information analysis unit performs efficient retrieval of the industrial data collection scheme equipment composition information based on the client target industrial data collection scheme type information combined with the intelligent recognition algorithm and the industrial data collection scheme equipment composition information, so as to achieve efficient and scientific analysis of the equipment information used by different types of industrial data collection schemes and improve the applicability of the SCADA system in industrial applications; the client target industrial data collection scheme composition equipment unit price collection unit and the client target industrial data collection scheme cost measurement unit cooperate with each other to scientifically and accurately count the client target industrial data collection scheme composition equipment unit price information and the client target industrial data collection scheme cost information, so as to achieve online and autonomous calculation of different types of industrial data collection scheme cost information and improve the scientific nature of the SCADA system in industrial applications.

[0034] For further information, see Figure 1 - Figure 2 , based on the project budget information, solution type information and solution cost information of the client's industrial data collection, the optimal industrial data collection solution required by the client is analyzed and processed, and the operation steps for generating the optimal industrial data collection solution data for the client are as follows: S61. Obtaining client industrial data collection project budget data , Client target industrial data collection solution type data collection And client target industrial data collection solution cost data collection ; S62, using a two-way search algorithm to collect cost data from the client's target industrial data collection solution The cost value of the industrial data collection solution is not greater than the client's industrial data collection project budget data. , and the client target industrial data collection plan cost data with the smallest industrial data collection plan cost value corresponds to the industrial data collection plan type number information, and constructs the client's optimal industrial data collection plan type number data ; S63, the client's optimal industrial data collection solution type number data Data collection with client target industrial data collection solution type Client target industrial data collection solution type data to Perform keyword matching of industrial data collection solution types to search for the client's optimal industrial data collection solution type number data The corresponding client target industrial data collection solution type data, and generate the client's optimal industrial data collection solution data after data identification .

[0035] The steps for constructing the analysis result data of the client's optimal industrial data collection solution and performing the analysis result feedback operation of the client's optimal industrial data collection solution are as follows: S71, collect the text data required by the client's industrial data , Client industrial data collection project budget data And the client's optimal industrial data collection solution data Perform data combination processing and build the client's optimal industrial data collection solution to analyze the result data ,in ; S72. Analyze the result data of the optimal industrial data collection solution of the client The data is pushed to the SCADA system through the IoT communication network and cooperates with the display screen to perform the client's optimal industrial data collection solution analysis result feedback operation.

[0036] Through the client's optimal industrial data collection solution analysis unit, based on the project budget information, solution type information and solution cost information of the client's industrial data collection combined with the intelligent search algorithm, the optimal industrial data collection solution required by the client is intelligently and accurately analyzed, and the client's industrial data collection solution type is accurately and intelligently analyzed based on cost and technical key indicators, thereby improving the intelligence and functional diversity of the SCADA system's industrial applications; the client's optimal industrial data collection solution analysis result construction unit and the client's optimal industrial data collection solution analysis result output unit cooperate with each other to scientifically construct the client's optimal industrial data collection solution analysis result information, and at the same time, it is efficiently pushed to the SCADA system online through the Internet of Things communication network and cooperates with the display screen to execute the client's optimal industrial data collection solution analysis result feedback operation, thereby realizing accurate collection and visual efficient feedback of industrial data collection solution analysis results, thereby improving the reliability of SCADA system industrial applications.

[0037] Embodiment 2: See also Figure 1- Figure 2 , the optimal acquisition scheme analysis system for different industrial data based on SCADA system is used to realize the analysis method of the optimal acquisition scheme for different industrial data. The system includes an industrial data acquisition information processing module, an industrial data acquisition scheme analysis module, and an industrial data acquisition optimal scheme generation module; The industrial data collection information processing module includes a client industrial data collection demand text information collection unit, a client industrial data collection project budget information collection unit, a client industrial data collection demand text information preprocessing unit, an industrial data collection demand key indicator parameter storage unit, and a client industrial data collection demand key indicator parameter identification unit; The client industrial data collection demand text information collection unit collects the client industrial data collection demand text data through the SCADA system information input dialog box; the client industrial data collection project budget information collection unit collects the client industrial data collection project budget data through the SCADA system information input dialog box; the client industrial data collection demand text information preprocessing unit performs data preprocessing on the client industrial data collection demand text data to generate standard client industrial data collection demand text data; the industrial data collection demand key indicator parameter storage unit is used to store the industrial data collection demand key indicator data; the client industrial data collection demand key indicator parameter identification unit performs industrial data collection key indicator parameter identification processing corresponding to the client industrial data collection demand information on the standard client industrial data collection demand text data and the industrial data collection demand key indicator data to generate the client industrial data collection demand key indicator data; The industrial data collection scheme analysis module includes an industrial data collection scheme type storage unit, a client target industrial data collection scheme type analysis unit, an industrial data collection scheme equipment composition information storage unit, a client target industrial data collection scheme equipment composition information analysis unit, a client target industrial data collection scheme composition equipment unit price collection unit, and a client target industrial data collection scheme cost measurement unit; An industrial data collection scheme type storage unit is used to store industrial data collection scheme type data; a client target industrial data collection scheme type analysis unit performs analysis and processing of the target industrial data collection scheme type required by the client based on the client's industrial data collection demand key indicator data and the industrial data collection scheme type data, and generates the client target industrial data collection scheme type number; an industrial data collection scheme equipment composition information storage unit is used to store industrial data collection scheme equipment composition data; a client target industrial data collection scheme equipment composition information analysis unit performs analysis and processing of the equipment composition used by the client target industrial data collection scheme based on the client target industrial data collection scheme type data and the industrial data collection scheme equipment composition data, and generates the client target industrial data collection scheme equipment composition data; a client target industrial data collection scheme composition equipment unit price collection unit performs collection and processing of the unit price information of the component equipment used by the client target industrial data collection scheme based on the client target industrial data collection scheme equipment composition data combined with the online shopping platform, and generates the client target industrial data collection scheme composition equipment unit price data; a client target industrial data collection scheme cost measurement unit performs statistical processing of the total cost of the component equipment used by the client target industrial data collection scheme based on the client target industrial data collection scheme composition equipment unit price data, and constructs the client target industrial data collection scheme cost data; The industrial data collection optimal solution generation module includes a client optimal industrial data collection solution analysis unit, a client optimal industrial data collection solution analysis result construction unit, and a client optimal industrial data collection solution analysis result output unit; The client's optimal industrial data collection solution analysis unit analyzes and processes the optimal industrial data collection solution required by the client based on the project budget information, solution type information and solution cost information of the client's industrial data collection, and generates the client's optimal industrial data collection solution data; the client's optimal industrial data collection solution analysis result construction unit is used to construct the client's optimal industrial data collection solution analysis result data; the client's optimal industrial data collection solution analysis result output unit pushes the client's optimal industrial data collection solution analysis result data to the SCADA system through the Internet of Things communication network and cooperates with the display screen to perform the client's optimal industrial data collection solution analysis result feedback operation.

[0038] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The analysis method of the optimal acquisition scheme for different industrial data is characterized by: The method comprises the following steps: S1. Collect the client's industrial data collection demand text data and the client's industrial data collection project budget data; S2, preprocessing the client industrial data collection demand text data to generate standard client industrial data collection demand text data and performing industrial data collection demand key indicator parameter identification processing corresponding to the client industrial data collection demand information on the industrial data collection demand key indicator data to generate client industrial data collection demand key indicator data; S3, analyzing and processing the target industrial data collection scheme type required by the client according to the key indicator data of the client's industrial data collection requirements and the industrial data collection scheme type data, and generating the target industrial data collection scheme type data of the client; S4, performing equipment composition analysis and processing for the client target industrial data collection scheme according to the client target industrial data collection scheme type data and the industrial data collection scheme equipment composition data, and generating the client target industrial data collection scheme equipment composition data; S5, collecting and processing the unit price information of the components of the client target industrial data collection scheme according to the equipment composition data of the client target industrial data collection scheme, generating the unit price data of the components of the client target industrial data collection scheme and performing statistical processing on the total cost of the components of the client target industrial data collection scheme, and constructing the cost data of the client target industrial data collection scheme; S6. Analyze and process the optimal industrial data collection solution required by the client based on the project budget information, solution type information, and solution cost information of the client's industrial data collection, and generate optimal industrial data collection solution data for the client; S7. Construct the analysis result data of the optimal industrial data collection solution for the client and execute the analysis result feedback operation of the optimal industrial data collection solution for the client.

2. The method for analyzing the optimal acquisition schemes of different industrial data according to claim 1 is characterized in that: The S1 comprises the following steps: S11. Collect the text information of the client's industrial data collection technology requirements online through the SCADA system information input dialog box, and generate the client's industrial data collection requirements text data ; Collect the cost budget information of the client's industrial data collection project online through the SCADA system information input dialog box, and generate the client's industrial data collection project budget data .

3. The method for analyzing the optimal acquisition schemes of different industrial data according to claim 2 is characterized in that: The S2 comprises the following steps: S21, using wavelet transform method to Perform text data noise reduction preprocessing and generate standard client industrial data collection demand text data ; S22. Establish a data set of key indicators for industrial data collection needs , ;in Indicates The key indicator data of industrial data collection requirements corresponding to the types of industrial data collection requirements, Indicates the maximum number of industrial data collection demand types; S23, using a breadth-first search algorithm to With the As stated in Perform character matching on industrial data collection requirement types and search for the The corresponding , and generate key indicator data sets for client industrial data collection needs , ,in and Respectively represent and The client's industrial data collection needs key indicator data. When the generation is not completed, continue to execute the Generate operation instructions.

4. The method for analyzing the optimal acquisition schemes of different industrial data according to claim 3 is characterized in that: The S3 comprises the following steps: S31, when the When the generation is completed, establish the industrial data collection scheme type data set , ;in Indicates Types of industrial data collection solutions, Indicates the maximum number of industrial data collection solution types; S32, the As stated in to With the As stated in Perform keyword matching of key indicators of industrial data collection and search for the to The corresponding , and build a client target industrial data collection solution type data set ; Execute to generate the The specific steps are as follows: S321, initializing parameters and updating the maximum number of iterations T of the algorithm; S322, initializing the industrial data collection solution to identify the location of the seagull population; S323, calculating the All of the above With the to The fitness value in , and retained in the The search space is to The one with the largest fitness value The global optimal position of S324, Migration, Global Search: There are three main steps in the industrial data collection solution to identify the migratory behavior of seagulls. The first step is to meet the requirements in the Different industrial data collection schemes in the search space identify the conditions for avoiding collisions between seagull individuals; the second is to calculate the The search space is to Matching the The best position direction; the third is based on the to Matching the Move the direction of the best position to a new position; S3241, computing industrial data collection scheme to identify seagulls in the New positions in the search space that do not collide with adjacent industrial data collection schemes to identify seagulls during movement; S3242, calculated in the The search space is to Matching the The best position direction; S3243, according to the to Matching the Move the direction of the best position to a new position; S325, attacking prey, local search, industrial data collection scheme to identify seagulls in the The attack in the search space is similar to the to Matching the Prey in the air in a spiral motion, while identifying the to Matching the ,Industrial data collection solutions identify the new location of seagulls after attacking prey; S326, determine whether the maximum number of iterations is met, and then output the to Matches all of the ; If not satisfied, return to step S323; S327, output all the steps in S326 Generate client target industrial data collection solution type data set through data identification , ,in and Respectively represent and Client target industrial data collection solution type data.

5. The method for analyzing the optimal acquisition schemes of different industrial data according to claim 4 is characterized in that: The S4 comprises the following steps: S41. Establishing the data collection matrix of industrial data collection equipment ,in Indicates The industrial data collection solution equipment corresponding to the industrial data collection solution type constitutes a data set, where , ,in Indicates the Middle The industrial data collection solution equipment composition data corresponding to each industrial data collection device; Indicates The maximum number of industrial data collection devices used in the industrial data collection solution type; S42, using a depth-limited search algorithm to As stated in to With the As stated in Perform character matching on industrial data collection scheme type and analyze the to The corresponding , and generate the client target industrial data collection solution equipment data set matrix through data identification ,in and Respectively indicate the and The corresponding client target industrial data collection solution equipment constitutes the data set, , , ,in and Respectively indicate the and stated Middle and The client target industrial data collection solution equipment composition data corresponding to each industrial data collection device.

6. The method for analyzing the optimal acquisition schemes of different industrial data according to claim 5 is characterized in that: The S5 comprises the following steps: S51, using the KD tree nearest neighbor search algorithm to As stated in to The corresponding and stated Input the unit price information of the equipment used for industrial data collection into the online shopping platform for online search and collection, and generate the client's target industrial data collection plan to form the equipment unit price data set matrix ,in and Respectively indicate the and stated The corresponding client target industrial data collection solution constitutes the equipment unit price data set, , ,in and Respectively indicate the and stated Middle and The client target industrial data collection solution corresponding to each industrial data collection device constitutes the equipment unit price data; S52, for the As stated in to The corresponding and stated According to the classification of industrial data collection scheme types, the total cost of each industrial data collection scheme using equipment is numerically summed and statistically processed, and a cost data set of the client's target industrial data collection scheme is generated. ,in and Respectively indicate the and stated Corresponding client target industrial data collection solution cost data.

7. The method for analyzing optimal acquisition schemes of different industrial data according to claim 6 is characterized in that: The S6 comprises the following steps: S61, obtaining the , and stated ; S62, using a bidirectional search algorithm in the The cost value of the industrial data collection solution is not greater than the above , and the corresponding industrial data collection scheme type number information with the smallest industrial data collection scheme cost value, and construct the optimal industrial data collection scheme type number data for the client ; S63, the With the As stated in to Perform keyword matching for industrial data collection solution types and search for the following The corresponding client target industrial data collection solution type data, and construct the client's optimal industrial data collection solution data .

8. The method for analyzing optimal acquisition schemes of different industrial data according to claim 7 is characterized in that: The S7 comprises the following steps: S71, the , and stated Perform data combination processing and build the client's optimal industrial data collection solution to analyze the result data ; S72, the The data is pushed to the SCADA system through the IoT communication network and cooperates with the display screen to perform the client's optimal industrial data collection solution analysis result feedback operation.

9. A system for analyzing optimal acquisition solutions for different industrial data based on a SCADA system, used to implement the method for analyzing optimal acquisition solutions for different industrial data according to any one of claims 1 to 8, characterized in that: The system comprises an industrial data acquisition information processing module, an industrial data acquisition solution analysis module, and an industrial data acquisition optimal solution generation module.

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