An industrial process automation control system and method for multi-source data fusion

Abstract

The present invention discloses an industrial process automation control system and method for multi-source data fusion, and relates to the technical field of industrial process automation control. The industrial process automation control system for multi-source data fusion includes: an initialization operation module, a data acquisition module, a feedback operation module and an automation control module. The present invention obtains the communication parameters of the multi-source data acquisition interface, performs an initialization operation on the multi-source data acquisition interface and obtains an initialization index, then determines whether to obtain industrial production data according to the initialization index and the initialization threshold range, then determines whether to perform a feedback operation according to the obtained feedback configuration index, and finally automatically adjusts the industrial production process sequence according to the received feedback information, thereby achieving an improvement in the reliability of the industrial production process automation control during the multi-source data transmission process, and solves the problem of low reliability of the industrial production process automation control during the multi-source data transmission process in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial process automation control, and in particular to an industrial process automation control system and method for multi-source data fusion. Background Art

[0002] With the rapid development of information technology and the continuous improvement of industrial automation, the amount of data generated in modern industrial production processes has increased dramatically. These data come from various sensors, equipment monitoring, production planning, quality inspection and other links, and have the characteristics of multi-source, heterogeneous and massive. Multi-source data fusion refers to the integration, coordination and processing of data from different sources, different formats and different natures to form more comprehensive, accurate and reliable information. In industrial process automation control systems, multi-source data fusion technology can effectively integrate various data in the production process and provide the system with richer and more accurate data support. In addition, with the continuous development of technologies such as big data, cloud computing and artificial intelligence, multi-source data fusion technology is also constantly innovating and improving, so that data fusion technology can be applied and promoted in a wider range of industrial fields.

[0003] Existing technology uses sensors to collect and process multi-source data in the industrial production process in real time, integrates and coordinates the processed multi-source data, and performs real-time analysis and decision-making. It then diagnoses the production process according to production parameters and adjusts the production parameters based on the results of the fault diagnosis. Finally, it provides feedback and optimizes the system to achieve automated control of the production process.

[0004] For example, the micro-positive pressure intelligent control system and method for farms based on multi-source fusion perception, which is announced by the invention patent with announcement number: CN118112937B, includes: confirming the sensors and equipment in the farm according to the sensor confirmation unit, and detecting the usage status of each device; preprocessing and storing the real-time collected data and the data after the equipment parameters are adjusted through the sensor data acquisition unit; calculating the data operating parameters of the stored data according to the collected data analysis unit, and obtaining the optimal operating parameter values ​​of the equipment in the farm after the data operating parameter calculation; training the optimal operating parameter values ​​of the equipment in the farm through the time series model through the sensor parameter control unit, and obtaining the optimal control strategy for the farm within the next minute after the time series simulation training.

[0005] For example, the invention patent announcement with announcement number: CN106707767B discloses an intelligent field water and fertilizer integrated management and control system and method based on multi-source information fusion, including: utilizing a GPRS communication module to access the central meteorological database from the China Meteorological Network through the weather forecast data interface provided by the National Meteorological Administration, querying real-time weather forecasts, and transmitting received data to the weather forecast query receiving subsystem, which is then transmitted to the central control unit through the system bus; transmitting the collected data to the real-time data acquisition controller through the sensor data acquisition bus and transmitting it to the central control unit; based on the historical storage of annual growth water and fertilizer requirements of various field crops, irrigation and fertilization time, and on-site descriptions of crop growth in the cloud computing platform, the irrigation and fertilization intelligent decision-making expert system software module processes the four types of data in a coordinated manner to optimize and generate the best irrigation and fertilization decisions.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, in a complex industrial environment, the processing of multi-source data is often interfered by network congestion, resulting in reduced data transmission efficiency, thereby reducing the effectiveness of automated control. There is a problem of low reliability of automated control of industrial production processes during multi-source data transmission. Summary of the invention

[0008] The embodiments of the present application solve the problem of low reliability of industrial production process automation control during multi-source data transmission in the prior art by providing an industrial process automation control system and method for multi-source data fusion, thereby improving the reliability of industrial production process automation control during multi-source data transmission.

[0009] The embodiment of the present application provides an industrial process automation control system for multi-source data fusion, including: an initialization operation module, a data acquisition module, a feedback operation module and an automation control module; wherein the initialization operation module is used to obtain communication parameters of a multi-source data acquisition interface, perform an initialization operation on the multi-source data acquisition interface according to the acquired communication parameters and obtain an initialization index, wherein the initialization index is used to evaluate the accuracy of the initialization process; the data acquisition module is used to determine whether to obtain industrial production data corresponding to a specified industrial production device according to the initialization index and the initialization threshold range, and if so, perform data fusion processing on the obtained industrial production data and encapsulate it into a multi-source data packet, and send the multi-source data packet to the feedback operation module through the multi-source data acquisition interface, otherwise, re-initialize the multi-source data acquisition interface; the feedback operation module is used to receive the multi-source data packet and determine whether to perform a feedback operation according to the acquired feedback configuration index, and if so, obtain feedback information, otherwise adjust the fusion algorithm parameters before performing the feedback operation, and the feedback configuration index is used to reflect the real-time performance of the feedback operation module receiving the multi-source data packet; the automation control module is used to automatically adjust the industrial production process sequence of the specified industrial production equipment according to the received feedback information.

[0010] Furthermore, the specific process of obtaining the initialization index is as follows: A1, obtaining a preset initialization index correction factor from a preset database, and obtaining a baud rate score and a check bit through deployed sensors, wherein the baud rate score is the ratio of the absolute value of the difference between the baud rate and the reference baud rate to the reference baud rate difference; A2, obtaining the initialization index by combining the interface coding bit and the interface stop bit of the multi-source data acquisition interface, wherein the interface coding bit is the position number of the multi-source data acquisition interface, and the interface stop bit is the position number of the stop bit of the multi-source data acquisition interface.

[0011] Furthermore, the specific limiting expression of the initialization index is:

[0012] ;

[0013] ;

[0014] In the formula, r is the number of the multi-source data acquisition interface, , R is the total number of multi-source data acquisition interfaces, e is a natural constant, Indicates the check bit of the r-th multi-source data acquisition interface, , Indicates that the multi-source data acquisition interface has no check bit. Indicates that the parity bit of the multi-source data acquisition interface is odd parity. Indicates that the parity bit of the multi-source data acquisition interface is even parity. Indicates the interface code bit of the rth multi-source data acquisition interface during the initialization operation. , Indicates that the position number of the multi-source data acquisition interface is 1. Indicates that the position number of the multi-source data acquisition interface is 2. Indicates the interface stop position of the rth multi-source data acquisition interface during the initialization operation. , Indicates that the stop position number of the multi-source data acquisition interface is 3. Indicates that the stop position number of the multi-source data acquisition interface is 4. represents the initialization index of the rth multi-source data acquisition interface during the initialization operation, represents the initialization exponential correction factor, represents the baud rate fraction of the rth multi-source data acquisition interface during the initialization operation, Indicates the baud rate of the rth multi-source data acquisition interface during the initialization operation, Indicates the reference baud rate, Indicates the reference baud rate difference.

[0015] Furthermore, the feedback configuration index is obtained by the following method: obtaining the received signal strength and the transmitted signal strength through the deployed sensors, the received signal strength is used to reflect the rate at which the feedback operation module interface receives multi-source data packets, and the transmitted signal strength is used to reflect the rate at which the feedback operation module sends multi-source data packets; performing a ratio operation on the obtained received signal strength and the expected received signal strength to obtain a signal reception evaluation value, and performing a ratio operation on the transmitted signal strength and the expected transmitted signal strength to obtain a signal transmission evaluation value, the signal reception evaluation value is the ratio of the received signal strength to the expected received signal strength, and the signal transmission evaluation value is the ratio of the transmitted signal strength to the expected transmitted signal strength; performing a summing and averaging operation on the results of the addition operation of the signal reception evaluation value and the signal transmission evaluation value, and combining the exponential operation result of the initialization index within the initialization threshold range to obtain the feedback configuration index.

[0016] Furthermore, the automation control module includes a control performance index acquisition unit and a safety monitoring unit; the control performance index acquisition unit is used to monitor the automation adjustment process of the industrial production process in real time to obtain a control performance index, and the control performance index is used to reflect the communication efficiency of the multi-source data packet in the automation control module; the safety monitoring unit is used to perform safety monitoring on the number of multi-source data packets during the transmission process according to the acquired control performance index, and the safety monitoring is used to ensure that the packet loss rate of the multi-source data packet is less than the reference packet loss rate.

[0017] Furthermore, the control performance index is obtained by the following method: obtaining the data transmission rate and response time coefficient of the multi-source data packet in the automation control module, the data transmission rate is the ratio of the data transmission distance to the total data transmission time, the total data transmission time is the sum of the actual transmission time of the multi-source data packet and the downtime of the specified industrial production equipment, the response time coefficient is the complement of the ratio of the response time to the reference response time, and the response time is the time from the automation control module interface receiving the multi-source data packet to sending the multi-source data packet; performing a ratio operation on the actual transmission time and the total data transmission time to obtain the response rate, adding it to the data transmission rate, and then performing an exponential operation to obtain a first control performance index, and at the same time, performing a logarithmic operation on the feedback configuration index and the response time coefficient within the feedback configuration threshold range to obtain a second control performance index; and obtaining the control performance index according to the addition result of the first control performance index and the second control performance index.

[0018] The embodiment of the present application provides an industrial process automation control method for multi-source data fusion, comprising the following steps: step 1, obtaining communication parameters of a multi-source data acquisition interface, initializing the multi-source data acquisition interface according to the obtained communication parameters and obtaining an initialization index, wherein the initialization index is used to evaluate the accuracy of the initialization process; step 2, judging whether to obtain industrial production data corresponding to a specified industrial production device according to the initialization index and the initialization threshold range, and if so, performing data fusion processing on the obtained industrial production data and encapsulating it into a multi-source data packet, and sending the multi-source data packet to a feedback operation module through the multi-source data acquisition interface, otherwise re-initializing the multi-source data acquisition interface; step 3, receiving the multi-source data packet and judging whether to perform a feedback operation according to the obtained feedback configuration index, and if so, obtaining feedback information, otherwise adjusting the fusion algorithm parameters before performing the feedback operation, wherein the feedback configuration index is used to reflect the real-time performance of the feedback operation module in receiving the multi-source data packet; step 4, automatically adjusting the industrial production process sequence of the specified industrial production device according to the received feedback information.

[0019] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0020] 1. By acquiring the communication parameters of the multi-source data acquisition interface and initializing the multi-source data acquisition interface and acquiring the initialization index, then judging whether to acquire the industrial production data according to the initialization index and the initialization threshold range, and then judging whether to perform the feedback operation according to the obtained feedback configuration index, and finally automatically adjusting the industrial production process sequence according to the received feedback information, the accuracy and reliability of the feedback operation are improved, and then the reliability of the automatic control of the industrial production process in the process of multi-source data transmission is improved, which effectively solves the problem of low reliability of the automatic control of the industrial production process in the process of multi-source data transmission in the prior art.

[0021] 2. By obtaining the preset initialization index correction factor from the preset database, obtaining the baud rate score and check bit through the deployed sensors, and combining the interface coding bit and interface stop bit of the multi-source data acquisition interface to obtain the initialization index, a more accurate acquisition of the initialization index is achieved, thereby improving the accuracy of data transmission of the multi-source data acquisition interface.

[0022] 3. The received signal strength and the transmitted signal strength are obtained through the deployed sensors, and then the received signal strength and the expected received signal strength are ratioed to obtain the signal reception evaluation value. At the same time, the transmitted signal strength and the expected transmitted signal strength are ratioed to obtain the signal transmission evaluation value. Finally, the results of the addition operation of the signal reception evaluation value and the signal transmission evaluation value are summed and averaged, and the exponential operation result of the initialization index within the initialization threshold range is combined to obtain the feedback configuration index, thereby achieving more accurate acquisition of the feedback configuration index, and then improving the real-time response of the feedback operation module. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A schematic diagram of the structure of an industrial process automation control system for multi-source data fusion provided in an embodiment of the present application;

[0024] Figure 2 A two-dimensional coordinate diagram of the initialization index provided in an embodiment of the present application;

[0025] Figure 3 A two-dimensional coordinate diagram of the signal response evaluation value provided in the embodiment of the present application;

[0026] Figure 4 A flowchart of an industrial process automation control method for multi-source data fusion provided in an embodiment of the present application;

[0027] Figure 5 An analysis flow chart of multi-source data transmission provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The embodiment of the present application solves the problem of low reliability of industrial production process automation control in the process of multi-source data transmission in the prior art by providing an industrial process automation control system and method for multi-source data fusion. The communication parameters of the multi-source data acquisition interface are obtained through the initialization operation module, and the multi-source data acquisition interface is initialized and the initialization index is obtained. Then, the data acquisition module determines whether to obtain the industrial production data corresponding to the specified industrial production equipment according to the initialization index and the initialization threshold range. If so, the obtained industrial production data is subjected to data fusion processing and encapsulated into a multi-source data packet. At the same time, the multi-source data packet is sent to the feedback operation module through the multi-source data acquisition interface. Otherwise, the multi-source data acquisition interface is initialized again. Then, the multi-source data packet is received through the feedback operation module and it is determined whether to perform the feedback operation according to the obtained feedback configuration index. If so, the feedback information is obtained. Otherwise, the fusion algorithm parameters are adjusted before the feedback operation is performed. Finally, the industrial production process sequence of the specified industrial production equipment is automatically adjusted according to the received feedback information through the automation control module, thereby improving the reliability of the industrial production process automation control in the process of multi-source data transmission.

[0029] The technical solution in the embodiment of the present application is to solve the problem of low reliability of industrial production process automation control in the above-mentioned multi-source data transmission process. The overall idea is as follows:

[0030] By obtaining the communication parameters of the multi-source data acquisition interface and initializing the multi-source data acquisition interface to obtain the initialization index, then judging whether to obtain the industrial production data based on the initialization index and the initialization threshold range, and then judging whether to perform the feedback operation based on the obtained feedback configuration index, and finally automatically adjusting the industrial production process sequence based on the received feedback information, the effect of improving the reliability of the automated control of the industrial production process during the multi-source data transmission process is achieved.

[0031] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0032] like Figure 1 As shown, it is a structural schematic diagram of an industrial process automation control system with multi-source data fusion provided in an embodiment of the present application. An industrial process automation control system with multi-source data fusion provided in an embodiment of the present application includes: an initialization operation module, a data acquisition module, a feedback operation module and an automation control module; wherein, the initialization operation module is used to obtain the communication parameters of the multi-source data acquisition interface, perform an initialization operation on the multi-source data acquisition interface according to the acquired communication parameters and obtain an initialization index, the initialization operation is used to ensure the accurate reception and transmission of the multi-source data acquisition interface, and the initialization index is used to evaluate the accuracy of the initialization process.

[0033] The initialization operation is completed by establishing a connection between the multi-source data acquisition interface and the data acquisition module interface, and the communication parameters include baud rate, interface coding bit, interface stop bit and check bit;

[0034] The data acquisition module is used to determine whether to obtain the industrial production data corresponding to the specified industrial production equipment based on the initialization index and the initialization threshold range. If so, the acquired industrial production data is subjected to data fusion processing and encapsulated into a multi-source data packet. At the same time, the multi-source data packet is sent to the receiving end of the feedback operation module through the multi-source data acquisition interface. Otherwise, it returns to the initialization operation module to re-initialize the multi-source data acquisition interface.

[0035] Among them, data fusion processing includes data cleaning, data conversion and data aggregation, and the multi-source data package is a collection of industrial production data after data fusion processing.

[0036] The feedback operation module is used to receive the multi-source data packets sent by the data acquisition module and determine whether to perform the feedback operation based on the obtained feedback configuration index. If so, the feedback information is obtained and transmitted to the automation control module. Otherwise, the feedback operation is performed after adjusting the fusion algorithm parameters. The feedback configuration index is used to reflect the real-time performance of the receiving end of the feedback operation module in receiving the multi-source data packets.

[0037] Among them, the feedback operation includes switching designated industrial production equipment, adjusting industrial production parameters, and adjusting industrial production processes. Among them, the designated industrial production equipment is the screw transport station in the intelligent manufacturing workshop. When the feedback configuration index of screw transport station No. 1 is less than the reference feedback configuration index, the automation control module receives the switching information of the screw transport station, switches to screw transport station No. 2 to re-acquire the feedback configuration index, and re-iterates this operation until the feedback configuration index is switched to the corresponding screw transport station less than the reference feedback configuration index. Feedback operation is performed, and the fusion algorithm parameters of the screw transport station corresponding to the feedback configuration index not less than the reference feedback configuration index are adjusted, for example, the breadth of the path search is increased, and the feedback configuration index of the corresponding screw transport station is re-acquired until the feedback configuration index is less than the reference feedback configuration index; the feedback information includes the execution time, execution position and industrial production parameter adjustment amount of the feedback operation; the industrial production parameters include the temperature, pressure and speed of the designated industrial production equipment during operation.

[0038] In the heat treatment workstation of the intelligent manufacturing workshop, the initial temperature of the heat treatment furnace is set to 800 degrees Celsius. The temperature of the metal material and the heat treatment furnace is monitored in real time through the temperature sensors deployed on the surface of the heat treatment furnace. The temperature is adjusted, for example, the temperature is raised to 820 degrees Celsius to more accurately meet the heat treatment process requirements. The adjustment amount here is 20 degrees Celsius.

[0039] In the injection molding workstation of the smart manufacturing workshop, the initial injection pressure of the injection molding machine is set to 50MPa. The injection pressure of the injection molding machine is monitored in real time by the pressure gauge deployed on the injection molding machine, and the pressure is adjusted. For example, the pressure is increased to 55MPa to improve the dimensional accuracy of the product. The adjustment amount here is 5MPa.

[0040] In the material handling robot workstation of the intelligent manufacturing workshop, the initial moving speed of the robot is set to 1.2 m / s. The speed sensors deployed on the robot's moving wheels monitor the robot's moving speed in real time and adjust the speed. For example, the speed is increased to 1.5 m / s to speed up material delivery. The adjustment amount here is 0.3 m / s.

[0041] The automation control module is used to automatically adjust the industrial production process sequence of the specified industrial production equipment according to the feedback information transmitted by the feedback operation module.

[0042] In this embodiment, this embodiment helps to automatically control the industrial production process during the transmission of multi-source data in the smart manufacturing workshop (for example, industrial production data obtained from various workstations in the smart manufacturing workshop) by comprehensively considering communication parameters, feedback operations, feedback information, and real-time monitoring and adjustment of industrial production parameters, thereby improving the reliability of automated control of industrial production processes during multi-source data transmission.

[0043] Furthermore, the specific process of obtaining the initialization index is as follows: A1, obtaining a preset initialization index correction factor from a preset database, and obtaining a baud rate score and a check bit through deployed sensors. The baud rate score is the ratio of the absolute value of the difference between the baud rate and the reference baud rate to the reference baud rate difference. Specifically, the baud rate can be directly obtained through deployed sensors, and the multi-source data acquisition interface itself has a sensor (deployed by preset personnel); A2, combining the interface coding bit and the interface stop bit of the multi-source data acquisition interface to obtain the initialization index. The interface coding bit is the position number of the multi-source data acquisition interface, and the interface stop bit is the position number of the stop bit of the multi-source data acquisition interface.

[0044] The specific restriction expression for initialization index is:

[0045] ;

[0046] ;

[0047] In the formula, r is the number of the multi-source data acquisition interface, , R is the total number of multi-source data acquisition interfaces, e is a natural constant, Indicates the check bit of the r-th multi-source data acquisition interface, , Indicates that the multi-source data acquisition interface has no check bit. Indicates that the parity bit of the multi-source data acquisition interface is odd parity. Indicates that the parity bit of the multi-source data acquisition interface is even parity. Indicates the interface code bit of the rth multi-source data acquisition interface during the initialization operation. , Indicates that the position number of the multi-source data acquisition interface is 1. Indicates that the position number of the multi-source data acquisition interface is 2. Indicates the interface stop position of the rth multi-source data acquisition interface during the initialization operation. , Indicates that the stop position number of the multi-source data acquisition interface is 3. Indicates that the stop position number of the multi-source data acquisition interface is 4. represents the initialization index of the rth multi-source data acquisition interface during the initialization operation, represents the initialization exponential correction factor, represents the baud rate fraction of the rth multi-source data acquisition interface during the initialization operation, Indicates the baud rate of the rth multi-source data acquisition interface during the initialization operation, Indicates the reference baud rate, Indicates the reference baud rate difference.

[0048] In this embodiment, the reference baud rate is represented by the sum and average of the historical baud rates of the multi-source data acquisition interfaces in the preset database, and the reference baud rate difference represents the average value of the sum of the maximum and minimum historical baud rates of the multi-source data acquisition interfaces in the preset database.

[0049] The initialization index correction factor is the correction factor corresponding to the initialization index in the preset database, which represents the correction value of the influence of the communication parameters on the initialization index. When used, the correction factor corresponding to the initialization index can be directly obtained from the preset database. The corresponding relationship can be a pre-set mapping relationship. For example, the baud rate score corresponding to the influence of the baud rate in the communication parameter within the preset time period and the correction factor corresponding to the baud rate score in the preset database form a mapping set. The real-time initialization index is input into the mapping set to obtain the corresponding correction factor. The mapping relationship can be one-to-one or many-to-one. The value range of the initialization index correction factor in this example is , achieving improved accuracy and reliability in obtaining the initialization index.

[0050] The initialization index increases with the increase of the baud rate fraction, among which the value of the check bit affects the value of the baud rate fraction, and then affects the value of the initialization index. It should be noted that in practical applications, it is necessary to select the check bit of the multi-source data acquisition interface according to the specific application scenario. For example, when the system needs to automatically detect the transmission error of the multi-source data acquisition interface, odd check is adopted. When the system needs to automatically correct the transmission error of the multi-source data acquisition interface, even check is adopted. When the system only pays attention to the amount of data transmission without considering the accuracy of data transmission, the multi-source data acquisition interface without check bit is adopted. By reasonably selecting the check bit of the multi-source data acquisition interface, it is helpful to realize the full consideration of the efficiency of data transmission by the system, improve the stability of data transmission, and then realize the improvement of the reliability of the automation control of the industrial production process in the process of multi-source data transmission, and effectively solve the problem of low reliability of the automation control of the industrial production process in the process of multi-source data transmission in the prior art.

[0051] Furthermore, the specific steps of determining whether to obtain industrial production data corresponding to the specified industrial production equipment based on the initialization index and the initialization threshold range include: if the initialization index is within the initialization threshold range, obtaining the industrial production data and storing it in a preset database; if the initialization index is not within the initialization threshold range, not obtaining the industrial production data and adjusting the communication parameters, and re-initializing the operation based on the adjusted communication parameters until the obtained initialization index is within the initialization threshold range; the industrial production data include industrial equipment utilization and production volume score; the industrial equipment utilization rate is the ratio of the actual operating time of the specified industrial production equipment in the industrial production process to the total operating time; the total operating time is the sum of the actual operating time and the downtime time; the production volume score is the ratio of the actual production quantity of the specified industrial production equipment in the industrial production process to the expected production quantity.

[0052] In this embodiment, the initialization threshold range represents the range corresponding to the maximum and minimum values ​​of the historical initialization index within the historical time period in a preset database; when the initialization index is not within the initialization threshold range, the communication parameters need to be adjusted. For example, if the initial check bit of the multi-source data acquisition interface is odd check, the error rate in the data transmission process can be reduced by changing the odd check bit of the multi-source data acquisition interface to an even check bit, thereby improving the accuracy of data transmission. If the speed displayed by the speed sensor of the multi-source data acquisition interface increases, it indicates that the accuracy of data transmission has increased, that is, the adjustment is effective. At this time, the initialization index is recalculated until the initialization index is within the initialization threshold range.

[0053] In an automobile parts manufacturing plant, a production line is equipped with various industrial production equipment, such as injection molding machines, stamping machines and assembly robots. This example takes the injection molding machine as an example. The actual operating time is the time it takes for the injection molding machine to complete the expected production set by the preset personnel (that is, the number of plastic frames for automobile seats). By considering the changes in industrial production data during the operation of the injection molding machine, it helps the preset personnel to fully understand the operating mechanism of the industrial automation control system and improve the accuracy of industrial production data acquisition.

[0054] Furthermore, the feedback configuration index is obtained by the following method: obtaining the received signal strength and the transmitted signal strength through the deployed sensors, the received signal strength is used to reflect the rate at which the feedback operation module interface receives multi-source data packets, and the transmitted signal strength is used to reflect the rate at which the feedback operation module sends multi-source data packets; performing a ratio operation on the obtained received signal strength and the expected received signal strength to obtain a signal reception evaluation value, and performing a ratio operation on the transmitted signal strength and the expected transmitted signal strength to obtain a signal transmission evaluation value, the signal reception evaluation value is the ratio of the received signal strength to the expected received signal strength, and the signal transmission evaluation value is the ratio of the transmitted signal strength to the expected transmitted signal strength; performing a sum and average operation on the results of the addition operation of the signal reception evaluation value and the signal transmission evaluation value, and combining the exponential operation result of the initialization index within the initialization threshold range to obtain the feedback configuration index.

[0055] In this embodiment, the specific limiting expression of the feedback configuration index is:

[0056] ;

[0057] ;

[0058] ;

[0059] In the formula, r is the number of the multi-source data acquisition interface, , R is the total number of multi-source data acquisition interfaces, n is the number of the feedback operation module interface, , N is the total number of feedback operation module interfaces, e is a natural constant, It represents the feedback configuration index of the feedback operation module interface corresponding to the r-th multi-source data acquisition interface after the initialization operation is completed. represents the initialization index of the rth multi-source data acquisition interface during the initialization operation, Indicates the initialization threshold range, It represents the signal reception evaluation value of the nth feedback operation module interface corresponding to the rth multi-source data acquisition interface after the initialization operation is completed. It indicates the received signal strength of the nth feedback operation module interface corresponding to the rth multi-source data acquisition interface after the initialization operation is completed. Indicates the expected received signal strength. It indicates the signal sending evaluation value of the nth feedback operation module interface corresponding to the rth multi-source data acquisition interface after the initialization operation is completed. It indicates the sending signal strength of the nth feedback operation module interface corresponding to the rth multi-source data acquisition interface after the initialization operation is completed. Indicates the expected transmit signal strength.

[0060] The expected received signal strength is represented by the sum and average of the historical received signal strengths in the historical time period in the preset database, and the expected sent signal strength is represented by the sum and average of the historical sent signal strengths in the historical time period in the preset database.

[0061] Specifically, the feedback configuration index increases with the increase of the initialization index, the signal reception evaluation value, and the signal transmission evaluation value. To simplify the analysis, we define , where It represents the signal response evaluation value of the corresponding feedback operation module interface of the r-th multi-source data acquisition interface after the initialization operation is completed. The simplified calculation formula of the feedback configuration index is: ,like Figure 2 As shown, it is a two-dimensional coordinate diagram of the initialization index provided in the embodiment of the present application (the signal response evaluation value is a fixed value of 1.3 at this time), and the feedback configuration index increases with the increase of the initialization index, such as Figure 3 As shown, it is a two-dimensional coordinate diagram of the signal response evaluation value provided in an embodiment of the present application (the initialization index is a fixed value of 0.5 at this time).

[0062] It should be noted that the initialization index also indirectly affects the value of the signal response evaluation value. When the initialization index increases, the accuracy of the corresponding multi-source data acquisition interface in receiving and sending data is improved. At this time, the data passing through the multi-source data acquisition interface can be transmitted faster, thereby improving the signal response evaluation value (that is, improving the signal reception evaluation value and signal sending evaluation value of the feedback operation module interface). This means that the feedback operation module can respond to the data transmitted from the multi-source data acquisition interface more quickly and accurately, thereby achieving an improvement in the reliability of the automated control of the industrial production process during the multi-source data transmission process, and effectively solving the problem of low reliability of the automated control of the industrial production process during the multi-source data transmission process in the prior art.

[0063] Furthermore, the specific steps of determining whether to perform a feedback operation based on the obtained feedback configuration index include: comparing the obtained feedback configuration index with the reference feedback configuration index: if the feedback configuration index is not less than the reference feedback configuration index, performing the feedback operation and feeding back the result of the feedback operation to a preset person; if the feedback configuration index is less than the reference feedback configuration index, not performing the feedback operation and re-initializing the operation until the obtained feedback configuration index is not less than the reference feedback configuration index.

[0064] The reference feedback configuration index is represented by the sum and average of the historical feedback configuration indexes of the feedback operation modules in the preset database.

[0065] This embodiment can more accurately determine when to perform the feedback operation by comparing the acquired feedback configuration index with the reference feedback configuration index, effectively avoiding blindly performing the feedback operation when the feedback configuration index decreases, thereby improving the accuracy and effectiveness of the decision. When the feedback configuration index is less than the reference feedback configuration index, the system chooses to re-initialize the operation, which helps to ensure that the system runs in the best state, avoids system instability caused by improper configuration or errors, and improves the accuracy and stability of the feedback operation.

[0066] Furthermore, the automation control module includes a control performance index acquisition unit and a safety monitoring unit; the control performance index acquisition unit: used to monitor the automation adjustment process of the industrial production process in real time to obtain the control performance index, and the control performance index is used to reflect the communication efficiency of the multi-source data packet in the automation control module; the safety monitoring unit: used to perform safety monitoring on the number of multi-source data packets during the transmission process according to the acquired control performance index, and the safety monitoring is used to ensure that the packet loss rate of the multi-source data packet is less than the reference packet loss rate.

[0067] In this embodiment, the reference packet loss rate is represented by the result of summing and averaging the historical packet loss rates of multi-source data packets in a preset database. This embodiment helps to ensure the continuous and stable transmission of multi-source data packets by performing security monitoring on the number of multi-source data packets during transmission. During the security monitoring of the multi-source data packets, when the packet loss rate is less than the reference packet loss rate, it indicates that the multi-source data packets are stably transmitted in the automation control module. When the packet loss rate is not less than the reference packet loss rate, the security monitoring unit can automatically adjust the communication parameters (such as increasing the baud rate) to reduce the packet loss rate of the multi-source data packets, thereby reducing security vulnerabilities caused by data loss and improving the security and reliability of multi-source data transmission.

[0068] Furthermore, the control performance index is obtained by the following method: obtaining the data transmission rate and response time coefficient of the multi-source data packet in the automation control module, the data transmission rate is the ratio of the data transmission distance to the total data transmission time, the total data transmission time is the sum of the actual transmission time of the multi-source data packet and the downtime of the specified industrial production equipment, the response time coefficient is the complement of the ratio of the response time to the reference response time, and the response time is the time from the automation control module interface receiving the multi-source data packet to sending the multi-source data packet; performing a ratio operation on the actual transmission time and the total data transmission time to obtain the response rate, adding it to the data transmission rate, and then performing an exponential operation to obtain a first control performance index, and at the same time, performing a logarithmic operation on the feedback configuration index and the response time coefficient within the feedback configuration threshold range to obtain a second control performance index; and obtaining the control performance index according to the addition result of the first control performance index and the second control performance index.

[0069] In this embodiment, the specific limiting expression of the control performance index is:

[0070] ;

[0071] ;

[0072] ;

[0073] ;

[0074] In the formula, r is the number of the multi-source data acquisition interface, , R is the total number of multi-source data acquisition interfaces, e is a natural constant, It represents the feedback configuration index of the feedback operation module interface corresponding to the r-th multi-source data acquisition interface after the initialization operation is completed. Indicates the feedback configuration threshold range, It represents the control performance index of the multi-source data packet corresponding to the r-th multi-source data acquisition interface in the automation control module, represents the data transmission rate of the multi-source data packet corresponding to the r-th multi-source data acquisition interface in the automation control module, It represents the response rate of the multi-source data packet corresponding to the r-th multi-source data acquisition interface in the automation control module, It represents the data transmission distance of the multi-source data packet corresponding to the r-th multi-source data acquisition interface in the automation control module, It represents the actual transmission time of the multi-source data packet corresponding to the r-th multi-source data acquisition interface in the automation control module. Indicates the downtime of the specified industrial production equipment in the automation control module corresponding to the r-th multi-source data acquisition interface, It represents the response time coefficient of the automation control module interface corresponding to the r-th multi-source data acquisition interface, It represents the response time of the automation control module interface corresponding to the r-th multi-source data acquisition interface. Indicates the reference response time.

[0075] Specifically, the feedback configuration threshold range represents the range corresponding to the maximum and minimum values ​​of the historical feedback configuration index of the feedback operation module in the preset database within the historical time period, and the reference response time is represented by the result of summing and averaging the historical response time of the automation control module interface in the preset database; assuming that the feedback configuration threshold range is between 1 and 4, and the control performance threshold range is between 3 and 4, the corresponding control performance index change statistics are shown in Table 1:

[0076] Table 1 Statistics of changes in control performance index

[0077]

[0078] It should be understood that the control performance index increases with the increase of data transmission rate, response rate, feedback configuration index and response time coefficient, wherein the response time coefficient decreases with the increase of response time. When the control performance index is within the control performance threshold range, it indicates that the communication efficiency of the multi-source data packet in the automation control module meets the expected automation control requirements (set by the preset personnel). Otherwise, it indicates that the communication efficiency of the multi-source data packet in the automation control module does not meet the expected automation control requirements. At this time, it is necessary to increase the number of transmissions of the multi-source data packet within the preset time period to increase the data transmission rate and recalculate the control performance index until the expected automation control requirements are met. The control performance threshold range represents the range corresponding to the maximum and minimum values ​​of the historical control performance index of the automation control module in the historical time period in the preset database.

[0079] It should be noted that the feedback configuration index also indirectly affects the value of the data transmission rate. Assuming that the number of multi-source data packets transmitted at a normal transmission speed (80Mbps) is 100, when the feedback configuration index decreases, the system may only need to collect fewer (e.g., 80) multi-source data packets to make adjustments, thereby reducing the data transmission rate (from 80Mbps to 70Mbps). On the contrary, the system needs to collect more (e.g., 120) multi-source data packets to make adjustments, so that the data transmission rate increases (from 80Mbps to 90Mbps) (that is, the system needs to transmit data frequently). By considering the indirect impact of the feedback configuration index on the data transmission rate, thereby affecting the value of the control performance index, it is helpful to improve the data processing capability of the system, achieve more accurate adjustment of the industrial production process, and then achieve the improvement of the reliability of the automated control of the industrial production process during the multi-source data transmission process, effectively solving the problem of low reliability of the automated control of the industrial production process during the multi-source data transmission process in the prior art.

[0080] like Figure 4 As shown, it is a flow chart of an industrial process automation control method for multi-source data fusion provided in an embodiment of the present application. An industrial process automation control method for multi-source data fusion provided in an embodiment of the present application includes the following steps: Step 1, obtaining an initialization index: obtaining communication parameters of a multi-source data acquisition interface, performing an initialization operation on the multi-source data acquisition interface according to the obtained communication parameters and obtaining an initialization index, the initialization operation is used to ensure accurate reception and transmission of the multi-source data acquisition interface, and the initialization index is used to evaluate the accuracy of the initialization process; Step 2, initialization index judgment: judging whether to obtain industrial production data corresponding to a specified industrial production equipment according to the initialization index and the initialization threshold range, and if so, performing data fusion on the obtained industrial production data The multi-source data packets are combined and encapsulated into multi-source data packets, and the multi-source data packets are sent to the receiving end of the feedback operation module through the multi-source data acquisition interface. Otherwise, the multi-source data acquisition interface is initialized again. The data fusion processing includes data cleaning, data conversion and data aggregation. The multi-source data packet is a set of industrial production data after data fusion processing; Step three, obtaining feedback information: receiving the multi-source data packet and judging whether to perform the feedback operation according to the obtained feedback configuration index. If so, obtaining feedback information, otherwise adjusting the fusion algorithm parameters before performing the feedback operation. The feedback configuration index is used to reflect the real-time performance of the feedback operation module receiving the multi-source data packet; Step four, automatic adjustment: automatically adjusting the industrial production process sequence of the specified industrial production equipment according to the received feedback information.

[0081] like Figure 5As shown, it is an analysis flow chart of multi-source data transmission provided in an embodiment of the present application. By introducing the judgment conditions of the initialization index and the feedback configuration index, the real-time and accuracy of the feedback operation are improved. Secondly, through the obtained feedback information, the industrial production process sequence of the specified industrial production equipment can be automatically adjusted. For example, in the application scenario of the automatic assembly line (composed of multiple workstations) in the intelligent manufacturing workshop, when the control performance index of the automation control module corresponding to workstation No. 1 decreases, the system needs to adjust the operation path of the material (such as the same type of screws) handling robot and the processing parameters (such as processing speed) of the CNC machine tool according to the obtained feedback information, so as to improve the material distribution efficiency and processing accuracy, help ensure the efficient operation of the assembly line and product quality, thereby realizing the intelligent control of the industrial production process.

[0082] To summarize, the embodiment of the present application obtains the communication parameters of the multi-source data acquisition interface, performs initialization operations on the multi-source data acquisition interface and obtains the initialization index, then determines whether to obtain industrial production data based on the initialization index and the initialization threshold range, and then determines whether to perform the feedback operation based on the obtained feedback configuration index, and finally automatically adjusts the industrial production process sequence based on the received feedback information, thereby achieving improved accuracy and reliability of the feedback operation, and further achieving improved reliability of automated control of the industrial production process during multi-source data transmission, effectively solving the problem of low reliability of automated control of the industrial production process during multi-source data transmission in the prior art.

[0083] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0084] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0085] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0086] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0087] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0088] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An industrial process automation control system with multi-source data fusion, characterized in that: include: Initialization operation module, data acquisition module, feedback operation module and automation control module; The initialization operation module is used to obtain the communication parameters of the multi-source data acquisition interface, perform initialization operation on the multi-source data acquisition interface according to the obtained communication parameters and obtain an initialization index, and the initialization index is used to evaluate the accuracy of the initialization process; The data acquisition module is used to determine whether to acquire industrial production data corresponding to the specified industrial production equipment according to the initialization index and the initialization threshold range. If so, the acquired industrial production data is subjected to data fusion processing and encapsulated into a multi-source data packet, and the multi-source data packet is sent to the feedback operation module through the multi-source data acquisition interface. Otherwise, the multi-source data acquisition interface is initialized again. The feedback operation module is used to receive multi-source data packets and determine whether to perform feedback operation according to the obtained feedback configuration index. If yes, feedback information is obtained; otherwise, the feedback operation is performed after adjusting the fusion algorithm parameters. The feedback configuration index is used to reflect the real-time performance of the feedback operation module in receiving multi-source data packets. The automation control module is used to automatically adjust the industrial production process sequence of the designated industrial production equipment according to the received feedback information.

2. An industrial process automation control system for multi-source data fusion as claimed in claim 1, characterized in that: The communication parameters include baud rate, interface coding bit, interface stop bit and check bit; the specific acquisition process of the initialization index is: A1, obtaining a preset initialization exponent correction factor from a preset database, and obtaining a baud rate score and a check bit through a deployed sensor, wherein the baud rate score is a ratio of an absolute value of a difference between a baud rate and a reference baud rate to a reference baud rate difference; A2, combining the interface coding bit and the interface stop bit of the multi-source data acquisition interface to obtain an initialization index, wherein the interface coding bit is the position number of the multi-source data acquisition interface, and the interface stop bit is the position number of the stop bit of the multi-source data acquisition interface.

3. An industrial process automation control system for multi-source data fusion as claimed in claim 2, characterized in that: The specific limiting expression of the initialization index is: ； ； In the formula, r is the number of the multi-source data acquisition interface, , R is the total number of multi-source data acquisition interfaces, e is a natural constant, Indicates the check bit of the r-th multi-source data acquisition interface, , Indicates that the multi-source data acquisition interface has no check bit. Indicates that the parity bit of the multi-source data acquisition interface is odd parity. Indicates that the parity bit of the multi-source data acquisition interface is even parity. Indicates the interface code bit of the rth multi-source data acquisition interface during the initialization operation. , Indicates that the position number of the multi-source data acquisition interface is 1. Indicates that the position number of the multi-source data acquisition interface is 2. Indicates the interface stop position of the rth multi-source data acquisition interface during the initialization operation. , Indicates that the stop position number of the multi-source data acquisition interface is 3. Indicates that the stop position number of the multi-source data acquisition interface is 4. represents the initialization index of the rth multi-source data acquisition interface during the initialization operation, represents the initialization exponential correction factor, represents the baud rate fraction of the rth multi-source data acquisition interface during the initialization operation, Indicates the baud rate of the rth multi-source data acquisition interface during the initialization operation, Indicates the reference baud rate, Indicates the reference baud rate difference.

4. The industrial process automation control system for multi-source data fusion as claimed in claim 1, characterized in that: The specific steps of determining whether to acquire industrial production data corresponding to the specified industrial production equipment according to the initialization index and the initialization threshold range include: If the initialization index is within the initialization threshold range, the industrial production data is obtained and stored in a preset database; If the initialization index is not within the initialization threshold range, the communication parameters are adjusted, and the initialization operation is re-performed according to the adjusted communication parameters until the obtained initialization index is within the initialization threshold range; The industrial production data include industrial equipment utilization rate and production volume score; The industrial equipment utilization rate is the ratio of the actual operating time of the specified industrial production equipment in the industrial production process to the total operating time; The total operation time is the sum of the actual operation time and the downtime time; The throughput score is a ratio of the actual production quantity to the expected production quantity of a specified industrial production equipment in an industrial production process.

5. The industrial process automation control system for multi-source data fusion as claimed in claim 1, characterized in that: The feedback operation includes switching designated industrial production equipment, adjusting industrial production parameters, and adjusting industrial production processes; The feedback information includes the execution time, execution location and industrial production parameter adjustment amount of the feedback operation; The industrial production parameters include temperature, pressure and speed of designated industrial production equipment during operation.

6. The industrial process automation control system for multi-source data fusion as claimed in claim 1, characterized in that: The feedback configuration index is obtained by the following method: The received signal strength and the transmitted signal strength are obtained by the deployed sensors, wherein the received signal strength is used to reflect the rate at which the feedback operation module interface receives the multi-source data packets, and the transmitted signal strength is used to reflect the rate at which the feedback operation module sends the multi-source data packets; The obtained received signal strength and the expected received signal strength are ratioed to obtain a signal reception evaluation value, and the transmitted signal strength and the expected transmitted signal strength are ratioed to obtain a signal transmission evaluation value, wherein the signal reception evaluation value is the ratio of the received signal strength to the expected received signal strength, and the signal transmission evaluation value is the ratio of the transmitted signal strength to the expected transmitted signal strength; The result of the addition operation of the signal reception evaluation value and the signal transmission evaluation value is summed and averaged, and the result of the exponential operation of the initialization index within the initialization threshold range is combined to obtain the feedback configuration index.

7. The industrial process automation control system for multi-source data fusion as claimed in claim 1, characterized in that: The specific steps of determining whether to perform the feedback operation according to the acquired feedback configuration index include: Compare the obtained feedback configuration index with the reference feedback configuration index: If the feedback configuration index is not less than the reference feedback configuration index, the feedback operation is performed and the result of the feedback operation is fed back to the preset person; If the feedback configuration index is less than the reference feedback configuration index, the initialization operation is re-performed until the acquired feedback configuration index is not less than the reference feedback configuration index.

8. An industrial process automation control system for multi-source data fusion as claimed in claim 1, characterized in that: The automation control module includes a control performance index acquisition unit and a safety monitoring unit; The control performance index acquisition unit is used to monitor the automation adjustment process of the industrial production process in real time to obtain the control performance index, and the control performance index is used to reflect the communication efficiency of the multi-source data packet in the automation control module; The security monitoring unit is used to perform security monitoring on the number of multi-source data packets during transmission according to the acquired control performance index, and the security monitoring is used to ensure that the packet loss rate of the multi-source data packets is less than the reference packet loss rate.

9. An industrial process automation control system for multi-source data fusion as claimed in claim 8, characterized in that: The control performance index is obtained by the following method: Obtaining the data transmission rate and response time coefficient of the multi-source data packet in the automation control module, wherein the data transmission rate is the ratio of the data transmission distance to the total data transmission time, wherein the total data transmission time is the sum of the actual transmission time of the multi-source data packet and the downtime of the designated industrial production equipment, and the response time coefficient is the complement of the ratio of the response time to the reference response time, wherein the response time is the time from when the automation control module interface receives the multi-source data packet to when it sends the multi-source data packet; The response rate is obtained by performing a ratio operation on the actual transmission time and the total data transmission time, and then an exponential operation is performed on the response rate to obtain a first control performance index. At the same time, the feedback configuration index and the response time coefficient within the feedback configuration threshold range are added and then a logarithmic operation is performed to obtain a second control performance index. The control performance index is obtained according to the addition result of the first control performance index and the second control performance index.

10. An industrial process automation control method for multi-source data fusion, characterized in that: The following steps are involved: Step 1: obtaining communication parameters of the multi-source data acquisition interface, performing an initialization operation on the multi-source data acquisition interface according to the obtained communication parameters and obtaining an initialization index, wherein the initialization index is used to evaluate the accuracy of the initialization process; Step 2: determine whether to obtain industrial production data corresponding to the specified industrial production equipment according to the initialization index and the initialization threshold range. If so, perform data fusion processing on the obtained industrial production data and encapsulate it into a multi-source data packet. At the same time, send the multi-source data packet to the feedback operation module through the multi-source data acquisition interface. Otherwise, re-initialize the multi-source data acquisition interface. Step 3: receiving multi-source data packets and judging whether to perform feedback operation according to the obtained feedback configuration index; if so, obtaining feedback information; otherwise, adjusting the fusion algorithm parameters and then performing feedback operation; the feedback configuration index is used to reflect the real-time performance of the feedback operation module in receiving multi-source data packets; Step 4: Automatically adjust the industrial production process sequence of the designated industrial production equipment according to the received feedback information.

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