Low-power-consumption wireless transmission method based on printed circuit board

Abstract

The invention provides a low-power-consumption wireless transmission method based on a printed circuit board, and relates to the technical field of printing wireless communication, and the method comprises the steps: obtaining a wireless communication demand of circuit board printing operation in real time, outputting communication demand information, and obtaining real-time production data in the operation process in real time; performing feature extraction on the communication demand information and the real-time production data, and constructing to obtain a demand-production feature set; determining a wireless communication strategy and a wireless communication method of the current batch and the scheduling batch of circuit board printing operation, and outputting a batch-strategy method comparison table; and selecting historical communication data matched with the batch-strategy method comparison table from the historical database, performing comparative analysis and optimization evaluation on wireless communication strategies and methods in the batch-strategy method comparison table, and outputting a communication optimization analysis result. According to the invention, power consumption optimization can be carried out on wireless communication strategies and methods of various batches of products in the production process, the wireless communication power consumption of the system is reduced, and the production efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of printed wireless communication, and in particular to a low-power consumption wireless transmission method based on a printed circuit board. Background Art

[0002] With the widespread use of IoT applications, the demand for wireless transmission of connected devices is increasing. These devices usually need to run for a long time, so low-power wireless transmission methods become essential. At the same time, with the increasing awareness of environmental protection, reducing power consumption not only helps to reduce the operating costs of circuit board printing operations, but also helps to reduce the impact of operations on the surrounding environment.

[0003] At present, in the process of circuit board printing, wireless communication technologies such as BLE, Zigbee, and LoRa are usually used to achieve low-power wireless communication between devices. However, there may be compatibility issues between different low-power wireless transmission technologies. These problems make it difficult to control and optimize the power consumption of the entire circuit board printing process.

[0004] Therefore, the present invention provides a low-power wireless transmission method based on a printed circuit board. Summary of the invention

[0005] The present invention provides a low-power wireless transmission method based on a printed circuit board, which is used to acquire and analyze wireless communication data in real time during the circuit board printing operation, and continuously optimize the wireless communication strategies and methods of each batch of products during the production process, thereby reducing power consumption and improving production efficiency.

[0006] The present invention provides a low-power wireless transmission method based on a printed circuit board, comprising: Step 1: Obtain the wireless communication requirements of the circuit board printing operation in real time, output the communication requirement information, and at the same time, obtain the real-time production data during the operation process in real time; Step 2: extracting features from the communication demand information and real-time production data, and constructing a demand-production feature set based on the extracted features; Step 3: Based on the demand-production feature set, determine the wireless communication strategy and method for the current batch and the scheduled batch of circuit board printing jobs, and output a batch-strategy method comparison table; Step 4: In combination with the demand-production feature set, historical communication data that matches the batch-strategy method comparison table is selected from the historical database, and the wireless communication strategies and methods in the batch-strategy method comparison table are compared, analyzed and optimized based on preset evaluation indicators, and the communication optimization analysis results are output.

[0007] Preferably, the step of obtaining the wireless communication requirements of the circuit board printing operation in real time includes: Real-time acquisition of user demand information for wireless communication during circuit board printing operations, and output of user wireless communication demand survey results; At the same time, the product demand information of the circuit board products being produced and to be produced is obtained, and the wireless communication demand results of the products corresponding to the wireless communication demand are obtained by parsing.

[0008] Preferably, the communication demand information includes communication security requirements, data transmission requirements, remote monitoring and control requirements, equipment positioning requirements and collaborative operation requirements.

[0009] Preferably, the real-time acquisition of real-time production data during the operation process includes: Acquire and update the production plan data, production process data, equipment operation data, product quality monitoring data and energy consumption data of circuit board printing operations in real time, and summarize and output real-time production data.

[0010] Preferably, step 2 includes: Extracting features from the communication demand information and the real-time production data, and constructing a first feature set corresponding to the communication demand information and a second feature set corresponding to the real-time production data based on the extracted features; In combination with the preset feature mapping comparison table, the mapping relationship between the data features in the first feature set and the second feature set is obtained, and the demand-production feature set is constructed.

[0011] Preferably, step 3 includes: Based on the demand-production feature set, in combination with a preset feature-strategy-method comparison table, a wireless communication strategy and method matching each data feature is selected from a strategy-method database; At the same time, combined with the corresponding production batch characteristics in the demand-production characteristic set, the wireless communication strategies and methods corresponding to the current batch and the scheduled batch circuit board printing jobs are determined, and a batch-strategy method comparison table is constructed.

[0012] Preferably, the combining the demand-production feature set and selecting historical communication data matching the batch-strategy method comparison table from a historical database includes: In combination with a preset feature-factor comparison table, a first screening factor corresponding to each data feature in the first feature set is obtained, and a first factor set is constructed; At the same time, based on the product production batch characteristics in the batch-strategy method comparison table, and in combination with the preset feature-factor comparison table, a second screening factor corresponding to each data feature and product production batch characteristic in the second feature set is obtained, and a second factor set is constructed; weighting the factors in the first factor set and the second factor set in combination with a preset weighting algorithm, outputting at least two factor assignment schemes, and constructing an assignment scheme list; Based on each factor assignment scheme in the assignment scheme list, historical communication data matching each factor assignment scheme is selected from the historical database, and the historical communication data whose matching degree under each factor assignment scheme is greater than a first preset degree is output as the first historical data, and at the same time, the historical communication data whose matching degree is less than the first preset degree and greater than a second preset degree is output as the second historical data; The first historical data and the second historical data are divided to obtain historical data corresponding to the wireless communication strategies and methods under each production batch in the batch-strategy method comparison table, and the batch-strategy method-historical communication data comparison table is output.

[0013] Preferably, the wireless communication strategies and methods in the batch-strategy method comparison table are compared and analyzed and optimized by combining preset evaluation indicators, and the communication optimization analysis results are output, including: Performing content analysis on the historical communication data to obtain third historical data corresponding to the wireless communication strategy and method in the circuit board printing operation, performing feature extraction on the third historical data, and constructing a historical strategy method feature set based on the extracted features; Based on the demand-production feature set and the historical strategy method feature set, and in combination with a preset feature-model mapping table, a first model that meets a preset matching condition is selected from a model database; Acquire format requirement information corresponding to the first model, and convert the format of the third historical data to obtain data to be divided that is adapted to the format requirement information; The data to be divided is divided into data according to a preset data division method to obtain a model training set, a model test set and a model verification set, respectively, and the first model is performance trained and optimized based on the model training set, the model test set and the model verification set, and the first model that meets the first performance condition is output as a real-time analysis-prediction model; Combined with the preset first evaluation index, the wireless communication strategies and methods under each batch in the batch-strategy method comparison table and the third historical data under the corresponding batch are compared and analyzed and predicted through the real-time analysis-prediction model, and the power consumption real-time analysis data and power consumption prediction data of each wireless communication transceiver and associated equipment during the circuit board printing operation of the current batch and the scheduled batch are output; The algorithm used to calculate the spatial power consumption loss data of each device is as follows: ; Wherein, P represents the spatial loss ratio value of each wireless communication transceiver device and associated equipment; represents the average transmit power of the ith device; represents the space loss weight coefficient of the i-th device; represents the total number of wireless communication links established between the ith device and other devices; represents the transmission distance of the link between the i-th device and the j-th device connected to it; represents the signal wavelength of the link between the ith device and the jth device connected to it; Combined with the preset second evaluation index and the standard control data under the corresponding index, the real-time power consumption analysis data and the power consumption prediction data under the same batch are optimized and evaluated, and the optimization evaluation result is output; Based on the optimization evaluation results, optimization items for power consumption optimization are determined, and based on the optimization items, power consumption optimization is performed on wireless communication strategies and methods for circuit board printing jobs in the current batch and the scheduled batch.

[0014] The present invention provides a low-power wireless transmission method based on a printed circuit board. The present invention obtains communication demand information and production data in real time, extracts features and constructs a demand-production feature set, determines wireless communication strategies and methods, combines historical data for comparative analysis and optimization evaluation, and finally outputs communication optimization analysis results to achieve intelligent wireless communication optimization. The present invention can achieve intelligent optimization, save energy, improve production efficiency, customize communication strategies, and continuously optimize wireless communication solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a flow chart of a low-power wireless transmission method based on a printed circuit board provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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.

[0018] like Figure 1 As shown, an embodiment of the present invention provides a low-power wireless transmission method based on a printed circuit board, comprising: Step 1: Obtain the wireless communication requirements of the circuit board printing operation in real time, output the communication requirement information, and at the same time, obtain the real-time production data during the operation process in real time; Step 2: Extract features from communication demand information and real-time production data, and construct a demand-production feature set based on the extracted features; Step 3: Based on the demand-production feature set, determine the wireless communication strategy and method for the current batch and the scheduled batch of circuit board printing jobs, and output a batch-strategy method comparison table; Step 4: Combined with the demand-production feature set, historical communication data that matches the batch-strategy method comparison table is selected from the historical database, and the wireless communication strategies and methods in the batch-strategy method comparison table are compared, analyzed and optimized based on the preset evaluation indicators, and the communication optimization analysis results are output.

[0019] In this embodiment, wireless communication requirements: wireless communication functions and requirements required in circuit board printing operations; In this embodiment, the communication demand information: that is, summary information of wireless communication demand, detailed information about the wireless communication demand, such as communication range, data transmission rate, communication frequency, etc.; In this embodiment, real-time production data refers to data generated in real time during the printing process, including product production batches, production progress, quality information, etc.; In this embodiment, demand-production feature set: a feature set obtained by feature extraction and analysis, describing the relationship between communication demand and production data; In this embodiment, current batch refers to the batch of circuit boards currently undergoing printing operations; In this embodiment, the production batch is a batch of circuit boards that will be printed in the future; In this embodiment, the wireless communication strategy and method: the wireless communication scheme and method determined for the current batch and the scheduled batch; In this embodiment, the batch-strategy method comparison table: a comparison table recording the wireless communication strategies and methods corresponding to each batch; In this embodiment, the history database: a database storing communication data and related information in past printing jobs; In this embodiment, the historical communication data: includes communication data records in past printing jobs; In this embodiment, the preset evaluation index is a set index used to evaluate the advantages and disadvantages of wireless communication strategies and methods, such as power consumption, transmission rate, stability, etc.; In this embodiment, optimization evaluation: comprehensively evaluating and optimizing the wireless communication strategies and methods of the current batch and the scheduled batch; In this embodiment, the communication optimization analysis result is the result obtained after comparative analysis and optimization of the communication strategies and methods.

[0020] The implementation principle and beneficial effects of this embodiment: The present invention obtains communication demand information and production data in real time, performs feature extraction and constructs a demand-production feature set, determines wireless communication strategies and methods, combines historical data for comparative analysis and optimization evaluation, and finally outputs communication optimization analysis results to achieve intelligent wireless communication optimization. The present invention can achieve intelligent optimization, save energy, improve production efficiency, customize communication strategies, and continuously optimize wireless communication solutions. For example, optimization evaluation can help printing jobs choose more power-saving communication strategies, save resources, and improve resource utilization; further analysis of communication optimization analysis results can guide the improvement of data transmission rates, thereby improving production efficiency; the use of historical communication data can help predict future communication needs and achieve more accurate communication performance optimization.

[0021] An embodiment of the present invention provides a low-power wireless transmission method based on a printed circuit board, which obtains the wireless communication requirements of a circuit board printing operation in real time, including: Real-time acquisition of user demand information for wireless communication during circuit board printing operations, and output of user wireless communication demand survey results; At the same time, the product demand information of the circuit board products being produced and to be produced is obtained, and the wireless communication demand results of the products corresponding to the wireless communication demand are obtained by parsing.

[0022] In this embodiment, the user wireless communication demand survey results: the results obtained after the user's wireless communication demand survey during the circuit board printing operation include the user's specific requirements for communication range, data transmission rate, security, etc. Specifically, the user may require stable data transmission within a specific range, require the communication rate to reach a certain level, and have strict requirements on communication security. For example, the user may need to achieve data transmission within a range of 50 meters during the printing operation, with a transmission rate of 100Mbps per second, and require communication data encryption; In this embodiment, product demand information: relevant demand information of circuit board products being produced and to be produced, including product specifications, functional requirements, performance requirements, production schedule, etc.; In this embodiment, the product wireless communication demand result: the specific wireless communication demand result of the product corresponding to the wireless communication demand obtained by analyzing the user wireless communication demand survey result and the product demand information.

[0023] Implementation principle and beneficial effects of this embodiment: The present invention obtains the user wireless communication demand survey results and product demand information in real time, and parses the product wireless communication demand results to provide a basis for the subsequent wireless communication solution formulation. The present invention can ensure that the wireless communication solution matches the user needs and product needs, thereby improving the stability and efficiency of the communication system. At the same time, according to the user demand survey results and product demand information, a personalized wireless communication solution can be customized to improve user satisfaction and product quality.

[0024] An embodiment of the present invention provides a low-power wireless transmission method based on a printed circuit board, and communication demand information includes communication security requirements, data transmission requirements, remote monitoring and control requirements, equipment positioning requirements, and collaborative operation requirements.

[0025] In this embodiment, the communication security requirements include, but are not limited to, ensuring the confidentiality, integrity and availability of data during the communication process. The communication security requirements may include security measures such as data encryption, identity authentication, and prevention of data tampering. For example, all communication data is required to be encrypted using the AES encryption algorithm, and only authenticated users can access the data. In this embodiment, data transmission requirements: requirements on data transmission rate, stability and delay during the communication process, for example, a data transmission rate of 100 Mbps is required during the communication process, and data transmission stability is required to be high and delay is low; In this embodiment, remote monitoring and control requirements: the requirements for remote monitoring and control of equipment can be achieved through wireless communication, for example, it is required to be able to remotely monitor the working status of the equipment through wireless communication and remotely control the switch of the equipment; In this embodiment, the device positioning requirement: the requirement to determine the location information of the device through wireless communication can be achieved through GPS or other positioning technologies, for example, it is required to be able to obtain the real-time location information of the device through wireless communication; In this embodiment, collaborative operation requirement: the requirement for devices to work together and exchange information. For example, different devices need to work together during a printing operation, and information exchange and coordination between devices need to be achieved through wireless communication.

[0026] The implementation principle and beneficial effects of this embodiment: The present invention obtains and analyzes communication security requirements, data transmission requirements, remote monitoring and control requirements, equipment positioning requirements, and collaborative operation requirements to formulate corresponding wireless communication solutions to meet these different requirements. By fully considering and meeting these different communication requirements, the present invention can improve the security, stability and efficiency of the communication system and achieve a more intelligent and efficient printed circuit board operation process. At the same time, customized communication solutions can improve the collaborative work efficiency between devices and improve overall production efficiency.

[0027] An embodiment of the present invention provides a low-power wireless transmission method based on a printed circuit board, which obtains real-time production data during an operation in real time, including: Acquire and update the production plan data, production process data, equipment operation data, product quality monitoring data and energy consumption data of circuit board printing operations in real time, and summarize and output real-time production data.

[0028] In this embodiment, production plan data: information about the production plan of printed circuit boards, including production orders, production batches, production plan schedules, etc. For example, the production plan data may include information such as the production quantity, production start time, and completion time of a batch of circuit boards; In this embodiment, production process data refers to data information of each stage in the production process of printed circuit boards, including production steps, process parameters, production progress, etc. For example, the production process data may include information such as specific process steps for printing circuit boards, time and parameter settings for each step, etc.; In this embodiment, the equipment operation data refers to the operation status and performance data of the printing equipment during the production process, including the equipment operation time, operation speed, fault information, etc. For example, the equipment operation data may include the operation time of the printing equipment, the printing speed per hour, the equipment maintenance record, etc.; In this embodiment, product quality monitoring data: data for monitoring and evaluating the quality of printed circuit board products, including product test results, quality indicators, defective product rates, etc. For example, the product quality monitoring data may include information such as the test results, qualified rates, and defective product classifications of each printed circuit board; In this embodiment, energy consumption data refers to energy data consumed in the printing production process, including the consumption of various energy sources such as electricity, water, and gas. For example, the energy consumption data may include information such as the power consumption of the printing equipment and the energy consumption statistics of each production batch.

[0029] The implementation principle and beneficial effects of this embodiment: The present invention obtains and updates production plan data, production process data, equipment operation data, product quality monitoring data and energy consumption data in real time, and summarizes and outputs real-time production data to monitor and optimize the printed circuit board production process. The present invention can realize real-time monitoring and analysis of the production process, which helps to find problems in time, optimize the production process, improve product quality, reduce energy consumption costs, and thus improve production efficiency and economic benefits. At the same time, by summarizing the output of real-time production data, the management can make more accurate decisions and realize intelligent management and optimization of the production process.

[0030] An embodiment of the present invention provides a low-power wireless transmission method based on a printed circuit board, wherein step 2 includes: Extracting features from the communication demand information and the real-time production data, and constructing a first feature set corresponding to the communication demand information and a second feature set corresponding to the real-time production data based on the extracted features; Combined with the preset feature mapping comparison table, the mapping relationship between the data features in the first feature set and the second feature set is obtained, and the demand-production feature set is constructed.

[0031] In this embodiment, the first feature set is a feature set extracted according to the communication requirement information, which is used to describe the characteristics of the communication requirement. For example, for communication security requirements, the first feature set may include characteristics such as encryption algorithm type, identity authentication mechanism, and data integrity check; In this embodiment, the second feature set is a feature set extracted from the real-time production data, which is used to describe the features of the real-time production data. For example, for equipment operation data, the second feature set may include features such as equipment operation time, average speed, and number of failures. In this embodiment, the preset feature mapping comparison table is a predefined comparison table for guiding how to map data features of the first feature set and the second feature set, which helps to effectively associate communication demand information with real-time production data. For example, the preset feature mapping comparison table may specify a mapping relationship between an encryption algorithm type and a device running time; In this embodiment, the mapping relationship: the mapping relationship between the data features in the first feature set and the second feature set. Through these mapping relationships, the demand-production feature set can be constructed to achieve the association between communication demand information and real-time production data. For example, the encryption algorithm type may have a certain correlation with the equipment running time, and the connection between the two can be established through the mapping relationship.

[0032] Implementation principle and beneficial effects of this embodiment: The present invention extracts features from communication demand information and real-time production data, and constructs a demand-production feature set in combination with a preset feature mapping comparison table, thereby realizing the association and mapping between communication demand information and real-time production data. The present invention can realize intelligent analysis and processing of communication demand information and real-time production data, which helps to optimize communication solutions, improve production efficiency, reduce energy consumption costs, etc. This analysis and processing of association helps to better meet communication needs, optimize production processes, and improve overall production efficiency and quality levels.

[0033] An embodiment of the present invention provides a low-power wireless transmission method based on a printed circuit board, wherein step 3 includes: Based on the demand-production feature set, combined with the preset feature-strategy-method comparison table, wireless communication strategies and methods matching each data feature are selected from the strategy-method database; At the same time, combined with the corresponding production batch characteristics in the demand-production feature set, the wireless communication strategies and methods corresponding to the current batch and the scheduled batch circuit board printing jobs are determined, and a batch-strategy method comparison table is constructed.

[0034] In this embodiment, a preset feature-strategy-method comparison table: a comparison table pre-defined about the mapping relationship between data features, wireless communication strategies and methods, used to select corresponding wireless communication strategies and methods according to the features in the demand-production feature set. For example, if the demand-production feature set includes encryption requirements and low power consumption requirements, the preset comparison table may guide the selection of the AES encryption algorithm and the low power consumption Bluetooth communication method; In this embodiment, the strategy-method database includes information on various wireless communication strategies and methods, and is used to select appropriate wireless communication strategies and methods according to the features in the demand-production feature set. For example, the database may include multiple communication strategies and methods such as AES encryption algorithm, low-power Bluetooth communication, and Zigbee communication. In this embodiment, production batch characteristics: characteristic information related to each printed circuit board production batch, used to determine the wireless communication strategies and methods corresponding to the current batch and scheduled batch circuit board printing jobs. For example, the production batch characteristics may include product production quantity, production time, product type and other information.

[0035] The implementation principle and beneficial effects of this embodiment: The present invention selects wireless communication strategies and methods based on the demand-production feature set, determines the corresponding communication strategies and methods according to the production batch characteristics, and constructs a batch-strategy method comparison table, thereby dynamically adjusting the wireless communication strategies and methods according to the real-time production situation. The present invention can optimize communication efficiency, reduce power consumption, and improve communication reliability and security according to the real-time production situation and demand characteristics. This dynamically adjusted strategy helps to better adapt to the needs of different production batches, improve production efficiency and product quality, and reduce communication costs and energy consumption.

[0036] The embodiment of the present invention provides a low-power wireless transmission method based on a printed circuit board, which combines a demand-production feature set and selects historical communication data matching a batch-strategy method comparison table from a historical database, including: Combined with the preset feature-factor comparison table, a first screening factor corresponding to each data feature in the first feature set is obtained, and a first factor set is constructed; At the same time, based on the product production batch characteristics in the batch-strategy method comparison table, and in combination with the preset feature-factor comparison table, the second screening factors corresponding to the data features and product production batch characteristics in the second feature set are obtained, and the second factor set is constructed; Assign weights to the factors in the first factor set and the second factor set in combination with a preset weight assignment algorithm, output at least two factor assignment schemes, and construct an assignment scheme list; Based on each factor assignment scheme in the assignment scheme list, historical communication data matching each factor assignment scheme is selected from the historical database, and the historical communication data whose matching degree under each factor assignment scheme is greater than a first preset degree is output as the first historical data, and at the same time, the historical communication data whose matching degree is less than the first preset degree and greater than a second preset degree is output as the second historical data; The first historical data and the second historical data are divided to obtain historical data corresponding to the wireless communication strategies and methods under each production batch in the batch-strategy method comparison table, and the batch-strategy method-historical communication data comparison table is output.

[0037] In this embodiment, a preset feature-factor comparison table: a comparison table containing mapping relationships between data features and screening factors, used to select corresponding screening factors according to input data features; In this embodiment, the first screening factor: that is, the screening factor corresponding to each data feature in the first feature set, for example, signal strength, data transmission rate, and communication distance; In this embodiment, the first factor set: that is, the set constructed based on the first screening factor; In this embodiment, product production batch characteristics: relevant characteristic information of products corresponding to each printed circuit board production batch, used to determine the wireless communication strategy and method corresponding to the current batch and the scheduled batch of circuit board printing jobs, for example, the product production batch characteristics may include product production quantity, production time, product type and other information; In this embodiment, the second screening factor: that is, the screening factor corresponding to each data feature set and each product production batch data feature in the second feature set, is used for subsequent factor weight assignment and historical data screening; In this embodiment, the second factor set: that is, the set constructed according to the second screening factor; In this embodiment, a weight assignment algorithm is preset to assign weights to the factors in the first factor set and the second factor set so as to construct different factor assignment schemes according to these weights. For example, weighted average method, principal component analysis method and other methods can be used to assign weights to the factors.

[0038] In this embodiment, the factor assignment scheme: a weight assignment scheme determined for each factor in the first factor set and the second factor set according to a preset weight assignment algorithm. For example, if the signal strength is more important in the communication quality, the signal strength may be assigned a higher weight according to the preset weight assignment algorithm; In this embodiment, the list of assignment schemes includes at least two factor assignment schemes. Each assignment scheme describes how to assign weights to each factor in the first factor set and the second factor set. For example, the list of assignment schemes may include assignment scheme 1 and assignment scheme 2, which assign different weights to different factors respectively. In this embodiment, the first preset degree: is used to determine the first preset threshold value of the matching degree of historical communication data. Data with a matching degree of historical communication data greater than this preset degree will be classified as the first historical data. For example, if the first preset degree is 0.8, data with a matching degree greater than 0.8 will be classified as the first historical data.

[0039] In this embodiment, the first historical data: a subset of historical communication data determined according to a first preset degree, wherein the matching degree of these data under the factor assignment scheme is greater than the first preset degree. For example, the first historical data may include historical communication data whose matching degree under assignment scheme 1 is greater than 0.8.

[0040] In this embodiment, the second preset degree: a second preset threshold for determining the matching degree of historical communication data. Data whose matching degree of historical communication data is less than the first preset degree but greater than the second preset degree will be classified as second historical data. For example, if the second preset degree is 0.6, data whose matching degree is between 0.6 and 0.8 will be classified as second historical data.

[0041] In this embodiment, the second historical data: a subset of historical communication data determined according to a second preset degree, wherein the matching degree of these data under the factor assignment scheme is less than the first preset degree but greater than the second preset degree. For example, the second historical data may include historical communication data whose matching degree under assignment scheme 1 is between 0.6 and 0.8.

[0042] In this embodiment, batch-strategy method-historical communication data comparison table: according to the production batch characteristics and the wireless communication strategy method comparison table, the historical communication data is divided into a data table of the corresponding wireless communication strategies and methods under each production batch. This table helps to analyze and optimize the communication efficiency and power consumption under different production batches.

[0043] The implementation principle and beneficial effects of this embodiment: The present invention combines the demand-production feature set and the batch-strategy method comparison table, uses the preset feature-factor comparison table and the preset weight assignment algorithm to select historical communication data from the historical database, and constructs a historical communication data set that meets the demand according to the factor assignment scheme. By analyzing the historical communication data and assigning weights to different factors, the present invention can obtain a variety of factor assignment schemes, so as to better understand the impact of different factors on communication performance. This helps to optimize the selection of communication strategies and methods, and improve communication efficiency and energy saving. At the same time, by outputting the batch-strategy method-historical communication data comparison table, it can provide a reference basis for future communication decisions and realize more intelligent communication management and optimization.

[0044] The embodiment of the present invention provides a low-power wireless transmission method based on a printed circuit board, which compares and analyzes the wireless communication strategies and methods in the batch-strategy method comparison table and optimizes and evaluates them in combination with preset evaluation indicators, and outputs communication optimization analysis results, including: Performing content analysis on the historical communication data to obtain third historical data corresponding to the wireless communication strategy and method in the circuit board printing operation, performing feature extraction on the third historical data, and constructing a historical strategy method feature set based on the extracted features; Based on the demand-production feature set and the historical strategy method feature set, and in combination with the preset feature-model mapping table, a first model that meets the preset matching condition is selected from the model database; Acquire format requirement information corresponding to the first model, and convert the format of the third historical data to obtain data to be divided that is adapted to the format requirement information; Performing data partitioning on the data to be partitioned in combination with a preset data partitioning method to obtain a model training set, a model test set, and a model verification set, respectively; and performing performance training and performance optimization on the first model based on the model training set, the model test set, and the model verification set, and outputting the first model that meets the first performance condition as a real-time analysis-prediction model; Combined with the preset first evaluation index, the wireless communication strategies and methods under each batch in the batch-strategy method comparison table and the third historical data under the corresponding batch are compared and analyzed and predicted through the real-time analysis-prediction model, and the power consumption real-time analysis data and power consumption prediction data of each wireless communication transceiver and associated equipment during the circuit board printing operation of the current batch and the scheduled batch are output; The algorithm used to calculate the spatial power consumption loss data of each device is as follows: ; Wherein, P represents the spatial loss ratio value of each wireless communication transceiver device and associated equipment; represents the average transmit power of the ith device; represents the space loss weight coefficient of the i-th device; represents the total number of wireless communication links established between the ith device and other devices; represents the transmission distance of the link between the i-th device and the j-th device connected to it; represents the signal wavelength of the link between the ith device and the jth device connected to it; Combined with the preset second evaluation index and the standard control data under the corresponding index, the real-time power consumption analysis data and the power consumption prediction data under the same batch are optimized and evaluated, and the optimization evaluation result is output; Based on the optimization evaluation results, the optimization items for power consumption optimization are determined, and based on the optimization items, the power consumption of the wireless communication strategies and methods for the current batch and the scheduled batch of circuit board printing jobs is optimized.

[0045] In this embodiment, the third historical data: the third part of the historical communication data obtained by parsing the wireless communication strategy and method in the circuit board printing operation is used for subsequent feature extraction and construction of the historical strategy method feature set. For example, the third historical data may include information such as the communication frequency and data transmission rate in a specific time period; In this embodiment, the historical strategy method feature set: a feature set constructed after feature extraction based on the third historical data, which is used to combine with the demand-production feature set to select a suitable model for data partitioning and performance training. For example, the feature set may include features such as communication frequency, signal strength, and data transmission rate; In this embodiment, feature-model mapping table: a mapping table for matching feature sets with models in a model database. According to a preset matching condition, a first model that meets the condition may be selected for subsequent analysis. For example, the feature-model mapping table may include information such as model A corresponding to the communication frequency and model B corresponding to the signal strength. In this embodiment, the model database includes: a database storing different models, which is used to select a suitable model for data partitioning and performance training according to the feature-model mapping table. For example, the model database may include a machine learning model, a neural network model, etc.; In this embodiment, the preset matching condition is a condition for selecting the first model. According to the characteristics of the demand-production feature set and the historical strategy method feature set, a model that meets the condition is determined. For example, the preset matching condition may include that the initial performance data of the model is greater than a certain threshold, etc.; In this embodiment, the first model: a model for analysis and prediction selected according to a preset matching condition, used for subsequent performance training and optimization according to historical data. For example, the first model may be a machine learning model, which is trained to predict the power consumption of each wireless communication device; In this embodiment, format requirement information: data format requirement information corresponding to the first model. Based on this information, the third historical data is format-converted to meet the requirements of the model. For example, the format requirement information may include the format of data input, data range, etc.; In this embodiment, the data to be divided: the data set to be divided obtained after format conversion according to the format requirement information, which can be subsequently divided into a training set, a test set and a validation set according to a preset data division method for performance training and optimization of the first model; In this embodiment, a data partitioning method is preset: a method of dividing the data to be partitioned into a model training set, a model test set, and a model validation set. Common methods include random partitioning, cross-validation, etc. For example, 80% of the data can be used as a training set, 10% of the data can be used as a test set, and 10% of the data can be used as a validation set. In this embodiment, the model training set, the model test set and the model validation set are data sets divided according to a preset data division method. The model training set is used to train the model, the model test set is used to evaluate the model performance, and the model validation set is used to verify the generalization ability of the model. For example, if there are 100 pieces of data, they can be divided into a training set, a test set and a validation set in a ratio of 80:10:10; In this embodiment, the first performance condition is a condition or standard for measuring the performance of the first model. Generally speaking, the first performance condition may include indicators such as the accuracy, recall rate, and mean square error of the model. For example, the first performance condition may require that the accuracy of the model reach more than 90%; In this embodiment, the real-time analysis-prediction model: a model for real-time analysis and prediction obtained by training the first model, which can be used to perform power consumption analysis and optimization analysis on the communication strategies and methods of the current batch and the production scheduling batch; In this embodiment, the first evaluation index is preset: a preset evaluation index for performing comparative analysis and predictive analysis on data through a real-time analysis-prediction model, which is usually used to measure the accuracy and consistency of the actual power consumption and predicted power consumption of the device during operation. For example, the preset first evaluation index may include a power consumption error rate, power consumption prediction accuracy, etc.; In this embodiment, wireless communication transceiver device and associated device: wireless communication device and related devices involved in the circuit board printing operation, these devices include sensors, communication modules, processors, etc., which transmit and interact data through wireless communication. For example, the wireless communication transceiver device may be a sensor node, and the associated device may be a data processor; In this embodiment, power consumption real-time analysis data: real-time monitoring and analysis of power consumption data of the device during operation. By analyzing the real-time power consumption data, the actual energy consumption of the device can be understood. For example, the power consumption change of a wireless communication device in a specific time period can be monitored; In this embodiment, power consumption prediction data: future power consumption data of the device predicted by the model or algorithm. Through the power consumption prediction data, the future energy consumption of the device can be predicted in advance, which is helpful for formulating energy-saving strategies and optimization plans; In this embodiment, the spatial power consumption loss data: the spatial power consumption ratio value of each device calculated according to a given algorithm. The spatial power consumption loss data reflects the energy consumption during communication between devices. For example, the spatial power consumption ratio value between different devices can be calculated to evaluate the energy consumption of the communication link. In this embodiment, a second evaluation index is preset: a second index for optimizing and evaluating the real-time power consumption analysis data and the power consumption prediction data, which is usually used to evaluate the performance of the system or device in terms of energy saving, as well as the accuracy and reliability of the prediction model. The index can be various performance indicators related to power consumption, such as energy efficiency ratio, power consumption fluctuation rate, and power consumption balance. Specifically, if the preset second evaluation index is power consumption balance, the distribution of power consumption between various devices during the circuit board printing process will be considered in the evaluation process. By evaluating the power consumption balance, the fairness and balance of energy consumption of various devices in the system can be ensured. In this embodiment, standard control data: reference standard data used for power consumption optimization evaluation, usually data determined based on industry standards or historical data, used for comparing and analyzing the optimization of current power consumption data, for example, actual power consumption data can be compared with pre-set standard power consumption data; In this embodiment, the optimization evaluation result is a result obtained after optimizing and evaluating the real-time power consumption analysis data and the power consumption prediction data. These results can guide subsequent power consumption optimization work. For example, the optimization evaluation result may include suggestions for power consumption optimization, improvement directions, etc.; In this embodiment, optimization item: a specific item or scheme for power consumption optimization determined according to the optimization evaluation result. The optimization item may be an adjustment suggestion for a specific device or communication link. For example, the optimization item may include adjusting the transmission power of the device, optimizing the communication distance, etc.; In this embodiment, power consumption optimization: power consumption optimization work is performed on the wireless communication strategies and methods of the circuit board printing jobs of the current batch and the scheduled batch according to the optimization items. Through power consumption optimization, the energy saving and efficiency of the system can be improved.

[0046] The implementation principle and beneficial effects of this embodiment: The present invention can comprehensively evaluate the power consumption and performance of the system by analyzing and predicting historical communication data and comprehensively considering the preset first and second evaluation indicators, thereby providing a more comprehensive reference basis for power consumption optimization, and then realizing the optimization evaluation of wireless communication strategies and methods in the batch-strategy method comparison table. The present invention calculates the spatial power consumption loss data, combines the second evaluation indicator and the standard comparison data, realizes power consumption optimization evaluation, determines the optimization items and optimizes the power consumption of wireless communication strategies and methods, thereby improving communication efficiency and reducing power consumption.

[0047] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A low-power wireless transmission method based on a printed circuit board, characterized in that: include: Step 1: Obtain the wireless communication requirements of the circuit board printing operation in real time, output the communication requirement information, and at the same time, obtain the real-time production data during the operation process in real time; Step 2: extracting features from the communication demand information and real-time production data, and constructing a demand-production feature set based on the extracted features; Step 3: Based on the demand-production feature set, determine the wireless communication strategy and method for the current batch and the scheduled batch of circuit board printing jobs, and output a batch-strategy method comparison table; Step 4: In combination with the demand-production feature set, historical communication data that matches the batch-strategy method comparison table is selected from the historical database, and the wireless communication strategies and methods in the batch-strategy method comparison table are compared, analyzed and optimized based on preset evaluation indicators, and the communication optimization analysis results are output.

2. A low-power wireless transmission method based on a printed circuit board according to claim 1, characterized in that: The method of obtaining the wireless communication requirements of the circuit board printing operation in real time includes: Real-time acquisition of user demand information for wireless communication during the PCB printing process, and output of user wireless communication demand survey results; At the same time, the product demand information of the circuit board products being produced and to be produced is obtained, and the wireless communication demand results of the products corresponding to the wireless communication demand are obtained by parsing.

3. A low-power wireless transmission method based on a printed circuit board according to claim 1, characterized in that: The communication demand information includes communication security requirements, data transmission requirements, remote monitoring and control requirements, equipment positioning requirements and collaborative operation requirements.

4. A low-power wireless transmission method based on a printed circuit board according to claim 1, characterized in that: The real-time acquisition of real-time production data during the operation process includes: Acquire and update the production plan data, production process data, equipment operation data, product quality monitoring data and energy consumption data of circuit board printing operations in real time, and summarize and output real-time production data.

5. The low-power wireless transmission method based on a printed circuit board according to claim 1, characterized in that: Step 2 includes: Extracting features from the communication demand information and the real-time production data, and constructing a first feature set corresponding to the communication demand information and a second feature set corresponding to the real-time production data based on the extracted features; In combination with the preset feature mapping comparison table, the mapping relationship between the data features in the first feature set and the second feature set is obtained, and the demand-production feature set is constructed.

6. A low-power wireless transmission method based on a printed circuit board according to claim 1, characterized in that: Step 3 includes: Based on the demand-production feature set, in combination with a preset feature-strategy-method comparison table, a wireless communication strategy and method matching each data feature is selected from a strategy-method database; At the same time, combined with the corresponding production batch characteristics in the demand-production characteristic set, the wireless communication strategies and methods corresponding to the current batch and the scheduled batch circuit board printing jobs are determined, and a batch-strategy method comparison table is constructed.

7. A low-power wireless transmission method based on a printed circuit board according to claim 5, characterized in that: The combining the demand-production feature set and selecting historical communication data matching the batch-strategy method comparison table from the historical database includes: In combination with a preset feature-factor comparison table, a first screening factor corresponding to each data feature in the first feature set is obtained, and a first factor set is constructed; At the same time, based on the product production batch characteristics in the batch-strategy method comparison table, and in combination with the preset feature-factor comparison table, a second screening factor corresponding to each data feature and product production batch characteristic in the second feature set is obtained, and a second factor set is constructed; weighting the factors in the first factor set and the second factor set in combination with a preset weighting algorithm, outputting at least two factor assignment schemes, and constructing an assignment scheme list; Based on each factor assignment scheme in the assignment scheme list, historical communication data matching each factor assignment scheme is selected from the historical database, and the historical communication data whose matching degree under each factor assignment scheme is greater than a first preset degree is output as the first historical data, and at the same time, the historical communication data whose matching degree is less than the first preset degree and greater than a second preset degree is output as the second historical data; The first historical data and the second historical data are divided to obtain historical data corresponding to the wireless communication strategies and methods under each production batch in the batch-strategy method comparison table, and the batch-strategy method-historical communication data comparison table is output.

8. The low-power wireless transmission method based on a printed circuit board according to claim 1, characterized in that: The wireless communication strategies and methods in the batch-strategy method comparison table are compared and analyzed and optimized and evaluated in combination with preset evaluation indicators, and the communication optimization analysis results are output, including: Performing content analysis on the historical communication data to obtain third historical data corresponding to the wireless communication strategy and method in the circuit board printing operation, performing feature extraction on the third historical data, and constructing a historical strategy method feature set based on the extracted features; Based on the demand-production feature set and the historical strategy method feature set, and in combination with a preset feature-model mapping table, a first model that meets a preset matching condition is selected from a model database; Acquire format requirement information corresponding to the first model, and convert the format of the third historical data to obtain data to be divided that is adapted to the format requirement information; The data to be divided is divided into data according to a preset data division method to obtain a model training set, a model test set and a model verification set, respectively, and the first model is performance trained and optimized based on the model training set, the model test set and the model verification set, and the first model that meets the first performance condition is output as a real-time analysis-prediction model; Combined with the preset first evaluation index, the wireless communication strategies and methods under each batch in the batch-strategy method comparison table and the third historical data under the corresponding batch are compared and analyzed and predicted through the real-time analysis-prediction model, and the power consumption real-time analysis data and power consumption prediction data of each wireless communication transceiver and associated equipment during the circuit board printing operation of the current batch and the scheduled batch are output; The algorithm used to calculate the spatial power consumption loss data of each device is as follows: ； Wherein, P represents the spatial loss ratio value of each wireless communication transceiver device and associated equipment; represents the average transmit power of the ith device; represents the space loss weight coefficient of the i-th device; represents the total number of wireless communication links established between the ith device and other devices; represents the transmission distance of the link between the i-th device and the j-th device connected to it; represents the signal wavelength of the link between the ith device and the jth device connected to it; Combined with the preset second evaluation index and the standard control data under the corresponding index, the real-time power consumption analysis data and the power consumption prediction data under the same batch are optimized and evaluated, and the optimization evaluation result is output; Based on the optimization evaluation results, optimization items for power consumption optimization are determined, and based on the optimization items, power consumption optimization is performed on wireless communication strategies and methods for circuit board printing jobs in the current batch and the scheduled batch.

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