A PAR intelligent operation precision control system and method

Abstract

The present invention belongs to the field of PAR intelligent control technology, and specifically relates to a PAR intelligent operation precision control system and method. The invention realizes precise control of the target operation object through real-time monitoring and data analysis, reduces human intervention, improves the automation level, and can quickly respond and adjust the PAR control system based on the comprehensive analysis of historical data and real-time data, ensures the efficient operation of the PAR control system, reduces resource waste, and keeps the PAR control system running in the best state by timely adjusting the deviation, improves the stability and reliability of the PAR control system, reduces the need for human intervention and adjustment, reduces the operation and maintenance costs, improves the economic benefits, continuously accumulates and analyzes historical data, optimizes the control algorithm, and improves the overall performance and intelligence level of the PAR control system.

Description

Technical Field

[0001] The present invention belongs to the technical field of PAR intelligent control, and in particular relates to a PAR intelligent operation precision control system and method. Background Art

[0002] With the rapid development of science and technology, especially in the fields of industrial automation, intelligent manufacturing and information technology, intelligent operation and control systems have become one of the key technologies to promote industrial progress. However, traditional control systems often have problems such as complex operation, low precision and poor adaptability, which makes it difficult to meet the needs of modern industrial production for high efficiency, precision and flexibility.

[0003] In recent years, with the continuous advancement of technologies such as artificial intelligence, the Internet of Things, and big data, the research and application of intelligent operation control systems have achieved remarkable results. Among them, PAR (Precision Automation and Robotics) intelligent operation precision control system, as a new type of control technology, has attracted widespread attention for its advantages of high precision, high efficiency, and high adaptability.

[0004] PAR intelligent operation precision control system is an intelligent control system based on artificial intelligence, robotics, sensor technology and other advanced technologies. The system integrates multiple sensors and intelligent algorithms to achieve precise control of robots, automation equipment, etc., thereby achieving efficient and precise management of the production process.

[0005] Although the existing PAR control system has achieved certain results in the field of industrial automation, there are still some shortcomings in practical applications. When faced with complex operating environments, its performance and efficiency are often limited by fixed control parameters and static adjustment mechanisms, which increases the operating costs of enterprises. The accuracy is often difficult to meet the requirements of modern industrial production. It lacks sufficient adaptive capabilities and is difficult to cope with complex and changing production environments and task requirements. Summary of the invention

[0006] The purpose of the present invention is to provide a PAR intelligent operation and precise control method, which can significantly improve the operating efficiency and stability of the PAR control system by comprehensively using real-time data, historical data and intelligent algorithms.

[0007] The technical solution adopted by the present invention is as follows:

[0008] A PAR intelligent operation precision control method, comprising:

[0009] Obtain the real-time operation status information of the target operation object;

[0010] Determine whether the real-time running status information meets the preset conditions. If not, obtain the difference information between the real-time running status information and the preset conditions and mark it as deviation data;

[0011] Obtain the corresponding deviation coefficient according to the deviation data;

[0012] Acquire a plurality of sensor signal data corresponding to a target operation object in a PAR control system within a preset historical time, and acquire a sensor signal coefficient according to the plurality of sensor signal data;

[0013] Acquire a plurality of historical system throughput data, a plurality of historical resource utilization data, and a plurality of historical network delay data of the PAR control system within a preset historical time, and acquire a system operation evaluation value of the PAR control system according to the plurality of historical system throughput data, the plurality of historical resource utilization data, and the plurality of historical network delay data;

[0014] Calculate the control system control value according to the deviation coefficient, the sensor signal coefficient and the system operation evaluation value;

[0015] Obtaining the control system control level corresponding to the control system control value;

[0016] The PAR control system is adjusted according to the control system regulation level.

[0017] In a preferred embodiment, the step of determining whether the real-time operation status information meets the preset conditions, and if not, obtaining the difference information between the real-time operation status information and the preset conditions and marking it as deviation data, comprises:

[0018] Obtain standard operating status information of the target operation object;

[0019] Determine whether the real-time operation status conforms to the standard operation status information;

[0020] If the real-time operation status conforms to the standard operation status information, it is determined that the target operation object is running normally;

[0021] If the real-time operation status does not conform to the standard operation status information, the target operation object is determined to be operating abnormally, and the difference information between the real-time operation status information and the standard operation status information is obtained and marked as deviation data.

[0022] In a preferred embodiment, the step of obtaining the corresponding deviation coefficient according to the deviation data includes:

[0023] Obtain corresponding deviation value according to deviation data;

[0024] Obtain the corresponding deviation weight value according to the deviation value;

[0025] Get the standard deviation value;

[0026] The deviation coefficient is calculated based on the deviation value, deviation weight value and standard deviation value, where the calculation formula is: , where Expressed as the coefficient of variation, Expressed as deviation value, Expressed as the bias weight value, Expressed as standard deviation value.

[0027] In a preferred embodiment, the step of obtaining a plurality of sensor signal data corresponding to a target operation object in the AR control system within a preset historical time, and obtaining a sensor signal coefficient according to the plurality of sensor signal data includes:

[0028] Acquire multiple sensor signal data corresponding to the target operation object in the PAR control system within a preset historical time;

[0029] Acquire multiple sensor signal values ​​corresponding to each sensor signal data according to the multiple sensor signal data;

[0030] Acquire a sensor signal standard value corresponding to each sensor signal data according to the plurality of sensor signal data;

[0031] The sensor signal coefficient is calculated according to multiple sensor signal values ​​and the sensor signal standard value corresponding to each sensor signal data, wherein the calculation formula is: , where It is represented as the sensor signal coefficient, i represents the number of multiple sensor signal data and the number of sensor signal standard values, n represents the total number of multiple sensor signal data and the total number of sensor signal standard values, represents the sensor signal standard value corresponding to the i-th sensor signal data, r represents the serial number of the multiple sensor signal values ​​corresponding to the i-th sensor signal data, m represents the total number of the multiple sensor signal values ​​corresponding to the i-th sensor signal data, It is represented by the rth sensor signal value corresponding to the i-th sensor signal data.

[0032] In a preferred solution, the step of obtaining a plurality of historical system throughput data, a plurality of historical resource utilization data, and a plurality of historical network delay data of the PAR control system within a preset historical time, and obtaining a system operation evaluation value of the PAR control system according to the plurality of historical system throughput data, the plurality of historical resource utilization data, and the plurality of historical network delay data comprises:

[0033] Acquire multiple historical system throughput data, multiple historical resource utilization data, and multiple historical network delay data of the PAR control system within a preset historical time;

[0034] Obtain corresponding throughputs of multiple historical systems according to throughput data of multiple historical systems;

[0035] Acquire corresponding multiple historical resource utilization rates according to multiple historical resource utilization data;

[0036] Acquire corresponding multiple historical network delay values ​​according to multiple historical network delay data;

[0037] Obtaining a first weight value corresponding to a historical system throughput;

[0038] Obtaining a second weight value corresponding to the historical resource utilization rate;

[0039] Obtain a third weight value corresponding to the historical network delay value;

[0040] The system operation evaluation value is calculated according to multiple historical system throughputs, multiple historical resource utilizations, multiple historical network delay values, a first weight value, a second weight value, and a third weight value, wherein the calculation formula is: , where is represented by the system operation evaluation value, k is represented by the number of multiple historical system throughputs, the number of multiple historical resource utilizations, and the number of multiple historical network delay values, g is represented by the total number of multiple historical system throughputs, the total number of multiple historical resource utilizations, and the total number of multiple historical network delay values, is represented by the kth historical system throughput, α is represented by the first weight value, is represented by the kth historical system resource utilization, β is represented by the second weight value, is represented as the kth historical network delay value, and γ is represented as the third weight value.

[0041] In a preferred embodiment, the step of calculating the control system control value according to the deviation coefficient, the sensor signal coefficient and the system operation evaluation value, and obtaining the control system control level corresponding to the control system control value includes:

[0042] The control system control value is calculated based on the deviation coefficient, sensor signal coefficient and system operation evaluation value, where the calculation formula is: , where X represents the control system regulation value, Expressed as the coefficient of variation, Expressed as the sensor signal coefficient, It is expressed as the system operation evaluation value;

[0043] Obtaining a control level table, wherein the control level table includes a plurality of control system control interval values ​​and a control system control level corresponding to each control system control interval value;

[0044] Obtaining a corresponding target control system control interval value according to the control system control value;

[0045] According to the target control system control interval value, the corresponding control system control level is obtained from the control level table.

[0046] In a preferred embodiment, after the step of adjusting the PAR control system according to the control system regulation level, the method further comprises:

[0047] Acquire the running state information of the adjusted target operation object and mark it as the second running state information;

[0048] Returning the second running status information as the real-time running status information to the step of determining whether the real-time running status information meets the preset condition, and if not, obtaining the difference information between the real-time running status information and the preset condition and marking it as deviation data;

[0049] Obtain corresponding deviation value according to deviation data;

[0050] Get the deviation threshold;

[0051] Determine whether the deviation value exceeds the deviation threshold. If so, construct an anomaly detection period, obtain the deviation value within the anomaly detection period, and summarize it into a deviation set;

[0052] Get the number of times the deviation value in the deviation set exceeds the deviation threshold;

[0053] Get the threshold number of times, and determine whether the number of times exceeded is greater than the threshold number of times;

[0054] If the number of times exceeded is greater than the threshold number, it is determined that the PAR control system is abnormally regulated;

[0055] If the number of exceeding times is less than or equal to the threshold number, it is determined that the PAR control system is stable.

[0056] In a preferred solution, the step of determining whether the deviation value exceeds the deviation threshold, and if so, constructing an abnormality detection period, and obtaining the deviation value within the abnormality detection period, and summarizing the deviation value into a deviation set, includes:

[0057] Determine whether the deviation value exceeds the deviation threshold;

[0058] If the deviation value does not exceed the deviation threshold, it is determined that the adjusted target operation object is running normally;

[0059] If the deviation value exceeds the deviation threshold, the adjusted target operation object is judged to be running abnormally, an abnormal detection period is constructed, and the deviation value within the abnormal detection period is obtained and summarized as a deviation set. The start time of the abnormal detection period is the time when the deviation value exceeds the deviation threshold. The calculation formula for the abnormal detection duration is: , where It is expressed as the anomaly detection duration, Expressed as deviation value, Denoted as the deviation threshold, Expressed as the coefficient of variation, It is represented as a preset historical time, and the end time of the anomaly detection period is determined according to the anomaly detection duration and the start time of the anomaly detection period.

[0060] The present invention also provides a PAR intelligent operation precision control system, which is used for the above PAR intelligent operation precision control method, comprising:

[0061] Real-time status module, used to obtain real-time operation status information of the target operation object;

[0062] The status judgment module is used to judge whether the real-time operation status information meets the preset conditions. If not, the difference information between the real-time operation status information and the preset conditions is obtained and marked as deviation data;

[0063] A deviation module, used to obtain a corresponding deviation coefficient according to the deviation data;

[0064] A sensor signal module is used to obtain a plurality of sensor signal data corresponding to a target operation object in a PAR control system within a preset historical time, and obtain a sensor signal coefficient according to the plurality of sensor signal data;

[0065] An operation evaluation module is used to obtain a plurality of historical system throughput data, a plurality of historical resource utilization data, and a plurality of historical network delay data of the PAR control system within a preset historical time, and obtain a system operation evaluation value of the PAR control system according to the plurality of historical system throughput data, the plurality of historical resource utilization data, and the plurality of historical network delay data;

[0066] A comprehensive calculation module is used to calculate the control system control value according to the deviation coefficient, the sensor signal coefficient and the system operation evaluation value;

[0067] A control level module is used to obtain the control level of the control system corresponding to the control value of the control system;

[0068] The adjustment module is used to adjust the PAR control system according to the control system regulation level.

[0069] And, a PAR intelligent operation precision control terminal, comprising:

[0070] one or more processors;

[0071] a storage device having one or more programs stored thereon;

[0072] When the one or more programs are executed by the one or more processors, the one or more processors implement the PAR intelligent operation precise control method.

[0073] The technical effects achieved by the present invention are:

[0074] The present invention realizes precise control of target operation objects through real-time monitoring and data analysis, reduces human intervention, and improves the automation level. Based on the comprehensive analysis of historical data and real-time data, it can quickly respond to and adjust the PAR control system to ensure the efficient operation of the PAR control system and reduce resource waste. By timely adjusting deviations, the PAR control system is kept running in the best state, the stability and reliability of the PAR control system are improved, the need for human intervention and adjustment is reduced, the operation and maintenance costs are reduced, and the economic benefits are improved. The historical data is continuously accumulated and analyzed, the control algorithm is optimized, and the overall performance and intelligence level of the PAR control system are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 is a flow chart of the method provided by the present invention;

[0076] Figure 2 It is a system module diagram provided by the present invention. DETAILED DESCRIPTION

[0077] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0078] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0079] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The phrase "in a preferred embodiment" that appears in different places in this specification does not refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0080] Secondly, the present invention is described in detail in conjunction with schematic diagrams. When describing the embodiments of the present invention in detail, for the convenience of explanation, the schematic diagrams are only examples and should not limit the scope of protection of the present invention.

[0081] Please see attached Figure 1 As shown, a PAR intelligent operation and precise control method is provided, comprising:

[0082] S1. Obtaining real-time operation status information of the target operation object;

[0083] S2. Determine whether the real-time operation status information meets the preset conditions. If not, obtain the difference information between the real-time operation status information and the preset conditions and mark it as deviation data;

[0084] S3. Obtaining a corresponding deviation coefficient according to the deviation data;

[0085] S4, obtaining a plurality of sensor signal data corresponding to a target operation object in a PAR control system within a preset historical time, and obtaining a sensor signal coefficient according to the plurality of sensor signal data;

[0086] S5, obtaining a plurality of historical system throughput data, a plurality of historical resource utilization data, and a plurality of historical network delay data of the PAR control system within a preset historical time, and obtaining a system operation evaluation value of the PAR control system according to the plurality of historical system throughput data, the plurality of historical resource utilization data, and the plurality of historical network delay data;

[0087] S6. Calculate the control system control value according to the deviation coefficient, the sensor signal coefficient and the system operation evaluation value;

[0088] S7, obtaining the control system control level corresponding to the control system control value;

[0089] S8. Adjust the PAR control system according to the control system regulation level.

[0090] As in the above steps S1 to S8, the operating status data of the target operating object is collected in real time through sensors and other monitoring equipment. These data may include various parameters such as pressure, flow, data processing efficiency, and accuracy of planned task allocation. The real-time operating status information is compared with the standard conditions preset by the system. If they meet the requirements, normal operation continues; if they do not meet the requirements, the deviation information is recorded and marked as deviation data. According to the deviation data, the deviation coefficient is calculated to quantify the degree of deviation. By analyzing multiple sensor signal data within a preset historical time, the sensor signal coefficient between these signal data is calculated. Multiple system throughput data, resource utilization data, and network delay data within a preset historical time are analyzed to evaluate the overall operating status of the PAR control system. The system operation evaluation value reflects the performance and efficiency of the PAR control system under different conditions. The deviation coefficient, sensor signal coefficient, and system operation evaluation value are combined to calculate the adjustments required for the PAR control system. Value, according to the calculated control value, determine the control level of the PAR control system, different control levels correspond to different adjustment intensities and measures, according to the control level, automatically adjust the PAR control system, the adjustment may include modifying parameter settings, adjusting equipment operating status, etc., to optimize the performance and stability of the PAR control system, through real-time monitoring and data analysis, to achieve precise control of the target operation object, reduce human intervention, improve the level of automation, based on the comprehensive analysis of historical data and real-time data, can quickly respond and adjust the PAR control system, ensure the efficient operation of the PAR control system, reduce resource waste, by timely adjusting deviations, keep the PAR control system running in the best state, improve the stability and reliability of the PAR control system, reduce the need for human intervention and adjustment, reduce operating and maintenance costs, improve economic benefits, continuously accumulate and analyze historical data, optimize the control algorithm, and improve the overall performance and intelligence level of the PAR control system.

[0091] In a preferred embodiment, the step of determining whether the real-time operation status information meets the preset conditions, and if not, obtaining the difference information between the real-time operation status information and the preset conditions and marking it as deviation data, includes:

[0092] S201, obtaining standard operation status information of a target operation object;

[0093] S202, determining whether the real-time operating status conforms to standard operating status information;

[0094] If the real-time operation status conforms to the standard operation status information, it is determined that the target operation object is running normally;

[0095] If the real-time operation status does not conform to the standard operation status information, the target operation object is determined to be operating abnormally, and the difference information between the real-time operation status information and the standard operation status information is obtained and marked as deviation data.

[0096] As in the above steps S201 to S202, the standard operation status information of the target operation object is obtained from a preset database, configuration file or system preset. This information is the parameter values ​​of the PAR control system when it is operating normally, such as temperature, pressure, speed, flow, data processing efficiency, accuracy of planned task allocation, etc. The standard operation status information is usually based on design specifications, historical operation data or industry standards to ensure its representativeness and reliability. The real-time collected operation status information is compared with the standard operation status information item by item to determine whether each parameter is within the allowable range. If all parameters are within the standard range, it is determined that the target operation object is operating normally, and the PAR control system continues to maintain the current operation state. If any parameter is not within the standard range, it is determined that the target operation object is operating abnormally. For parameters that do not meet the standards, the difference between their real-time values ​​and standard values ​​is recorded. These differences are phase difference information. By comparing with the standard operation status information, the target operation object is judged to be operating normally. Detailed comparison of the operation status can accurately identify abnormal conditions during operation and ensure that any deviations will not be ignored. When an abnormality is detected, the deviation information can be quickly recorded to provide a reliable basis for subsequent adjustments and optimizations. It can quickly respond to and handle abnormal conditions to reduce the impact of abnormalities on the PAR control system. Based on the collection and analysis of deviation data, data-driven decisions and optimizations can be made to improve overall operating efficiency and performance. By continuously monitoring and recording deviation data, long-term trends and potential problems can be identified to support preventive maintenance and optimization. Accurate anomaly detection and timely processing mechanisms can effectively improve the reliability and stability of the PAR control system and reduce failure rates and downtime. Through the analysis of deviation data, detailed information can be provided to maintenance personnel to help them carry out targeted maintenance and adjustments, improve maintenance efficiency and effectiveness, and at the same time, provide reliable data support for system management to help optimize management strategies.

[0097] In a preferred embodiment, the step of obtaining the corresponding deviation coefficient according to the deviation data includes:

[0098] S301, obtaining a corresponding deviation value according to the deviation data;

[0099] S302, obtaining a corresponding deviation weight value according to the deviation value;

[0100] S303, obtaining a standard deviation value;

[0101] S304, calculating the deviation coefficient according to the deviation value, the deviation weight value and the standard deviation value, wherein the calculation formula is: , where Expressed as the coefficient of variation, Expressed as deviation value, Expressed as bias weight value, Expressed as standard deviation value.

[0102] As in the above steps S301 to S304, the deviation value is the difference between the real-time operation status information and the standard operation status information. The specific deviation value of each parameter is extracted from the recorded deviation data to ensure the accuracy of the calculation. The deviation weight value is used to indicate the degree of influence of different deviations on the operation of the system. A larger deviation may have a higher weight value. The weight value of each deviation is preset according to the operation characteristics and specific needs of the PAR control system. For example, safety-related parameters may be given a higher weight. The standard deviation value is used to measure the parameter fluctuation range of the PAR control system under normal operating conditions. The standard deviation value is obtained through historical data statistics or experimental measurements. By calculating the deviation coefficient, the PAR control system can quantitatively evaluate the deviation of each parameter, clarify the specific impact of each deviation on the PAR control system, and ensure the pertinence and effectiveness of the adjustment. The weight value is allocated according to the importance and influence of different parameters to ensure that the PAR control system can focus on and deal with the deviation that has a greater impact on the operation, improve the efficiency and effect of the adjustment, and use the deviation value, deviation weight value and standard deviation value in combination to ensure that the calculation result of the deviation coefficient has a high degree of accuracy and reliability. By quantitatively analyzing and evaluating the deviation, abnormal conditions can be discovered and handled in a timely manner, the operation status can be kept stable, and failures and downtime can be reduced.

[0103] In a preferred embodiment, the step of acquiring a plurality of sensor signal data corresponding to a target operation object in the AR control system within a preset historical time, and acquiring a sensor signal coefficient according to the plurality of sensor signal data, comprises:

[0104] S401, obtaining a plurality of sensor signal data corresponding to a target operation object in a PAR control system within a preset historical time;

[0105] S402, acquiring multiple sensor signal values ​​corresponding to each sensor signal data according to multiple sensor signal data;

[0106] S403, acquiring a sensor signal standard value corresponding to each sensor signal data according to the plurality of sensor signal data;

[0107] S404, calculating the sensor signal coefficient according to the multiple sensor signal values ​​and the sensor signal standard value corresponding to each sensor signal data, wherein the calculation formula is: , where It is represented as the sensor signal coefficient, i represents the number of multiple sensor signal data and the number of sensor signal standard values, n represents the total number of multiple sensor signal data and the total number of sensor signal standard values, represents the sensor signal standard value corresponding to the i-th sensor signal data, r represents the serial number of the multiple sensor signal values ​​corresponding to the i-th sensor signal data, m represents the total number of the multiple sensor signal values ​​corresponding to the i-th sensor signal data, It is represented by the rth sensor signal value corresponding to the i-th sensor signal data.

[0108] As in the above steps S401 to S404, the sensor signal data within a preset historical time period is extracted from the database or data storage module. These data record the sensor readings of the target operating object at different time points. The preset historical time period can be one minute, one hour or one day according to actual needs to cover various operating states of the PAR control system to ensure the representativeness and comprehensiveness of the data. The extracted historical sensor signal data is classified according to the sensor type or position to obtain the data value of each sensor signal. These data values ​​reflect the specific state of the target operating object at different time points. These data values ​​are stored in chronological order or other related ways to facilitate subsequent calculation and analysis. The sensor signal standard value refers to the expected value of each sensor signal under normal operating conditions. The sensor signal coefficient is used to quantify the current The similarity between the previous sensor signal value and the standard value, the higher the coefficient, the closer the current state is to the standard state. Through the comprehensive analysis of historical sensor signal data, the similarity between the current state and the standard state can be accurately evaluated, which is helpful to timely discover and deal with abnormal situations. Using the sensor signal coefficient, the PAR control system can be optimized and adjusted based on data to improve the scientificity and accuracy of decision-making. By continuously monitoring and calculating the sensor signal coefficient, it can maintain optimal operation, reduce failures and downtime, and improve stability and reliability. Recording and analyzing the sensor signal coefficient can identify potential problems in advance, support preventive maintenance, avoid sudden failures, and reduce maintenance costs. By regularly analyzing and evaluating the sensor signal coefficient, the control strategy and operating parameters can be continuously optimized to achieve continuous improvement and enhancement.

[0109] In a preferred embodiment, the step of obtaining a plurality of historical system throughput data, a plurality of historical resource utilization data, and a plurality of historical network delay data of the PAR control system within a preset historical time, and obtaining a system operation evaluation value of the PAR control system according to the plurality of historical system throughput data, the plurality of historical resource utilization data, and the plurality of historical network delay data comprises:

[0110] S501, obtaining a plurality of historical system throughput data, a plurality of historical resource utilization data, and a plurality of historical network delay data of the PAR control system within a preset historical time;

[0111] S502, obtaining corresponding multiple historical system throughputs according to multiple historical system throughput data;

[0112] S503, acquiring corresponding multiple historical resource utilization rates according to multiple historical resource utilization data;

[0113] S504, acquiring corresponding multiple historical network delay values ​​according to multiple historical network delay data;

[0114] S505, obtaining a first weight value corresponding to the historical system throughput;

[0115] S506, obtaining a second weight value corresponding to the historical resource utilization rate;

[0116] S507, obtaining a third weight value corresponding to the historical network delay value;

[0117] S508, calculating the system operation evaluation value according to multiple historical system throughputs, multiple historical resource utilizations, multiple historical network delay values, the first weight value, the second weight value and the third weight value, wherein the calculation formula is: , where is represented by the system operation evaluation value, k is represented by the number of multiple historical system throughputs, the number of multiple historical resource utilizations, and the number of multiple historical network delay values, g is represented by the total number of multiple historical system throughputs, the total number of multiple historical resource utilizations, and the total number of multiple historical network delay values, is represented by the kth historical system throughput, α is represented by the first weight value, is represented by the kth historical system resource utilization, β is represented by the second weight value, is represented as the kth historical network delay value, and γ is represented as the third weight value.

[0118] As in the above steps S501 to S508, the system throughput data, resource utilization data and network delay data within a preset historical time period are extracted from the database or data storage module, the collected historical system throughput data is processed, and the system throughput at each time point is calculated. The system throughput refers to the amount of tasks or data processed by the system per unit time. The collected historical resource utilization data is processed to calculate the resource utilization rate at each time point. The resource utilization rate refers to the utilization rate of various resources (such as CPU, memory, storage, etc.) during the operation of the system. The collected historical network delay data is processed to calculate the network delay value at each time point. The network delay value refers to the time required for a data packet to be transmitted in the network. According to the operation objectives and business requirements of the PAR control system, a first weight value is assigned to the historical system throughput. A higher system throughput may mean better system performance, so a higher weight may be assigned. According to the operation objectives and business requirements of the PAR control system, a second weight value is assigned to the historical resource utilization rate. Reasonable resource utilization rate helps to improve the efficiency of the PAR control system. Therefore, appropriate weights are also needed. According to the operation objectives and business needs of the PAR control system, a third weight value is assigned to the historical network delay value. Lower network delay helps to improve the response speed of the PAR control system, so a higher weight may be given. The historical system throughput, resource utilization and network delay values ​​are comprehensively considered for calculation. According to the calculation results, the overall operation status of the PAR control system is comprehensively evaluated to provide a basis for subsequent optimization and adjustment. By analyzing the system throughput, resource utilization and network delay values, the overall performance can be comprehensively evaluated to ensure that all aspects of performance are within an acceptable range. It can be optimized and adjusted based on actual data to improve the scientificity and accuracy of decision-making. Through continuous monitoring and evaluation, it can maintain optimal operation, reduce failures and downtime, and improve stability and reliability. Recording and analyzing system operation evaluation values ​​can identify potential problems in advance, support preventive maintenance, avoid sudden failures, and reduce maintenance costs. Based on the analysis of operation evaluation values, the PAR control system can optimize resource allocation and use, improve operation efficiency, and reduce resource waste.

[0119] In a preferred embodiment, the step of calculating the control system control value according to the deviation coefficient, the sensor signal coefficient and the system operation evaluation value, and obtaining the control system control level corresponding to the control system control value includes:

[0120] S601, calculating the control system control value according to the deviation coefficient, the sensor signal coefficient and the system operation evaluation value, wherein the calculation formula is: , where X represents the control system regulation value, Expressed as the coefficient of variation, Expressed as the sensor signal coefficient, It is expressed as the system operation evaluation value;

[0121] S602, obtaining a control level table, wherein the control level table includes a plurality of control system control interval values ​​and a control system control level corresponding to each control system control interval value;

[0122] S603, obtaining a corresponding target control system control interval value according to the control system control value;

[0123] S604. Obtain the corresponding control system control level from the control level table according to the target control system control interval value.

[0124] As in the above steps S601 to S604, the deviation coefficient, the sensor signal coefficient and the system operation evaluation value are collected. These parameters represent different aspects of the current operation state of the PAR control system. These parameters are comprehensively considered and calculated. The control level table presets multiple control system control interval values. Each interval value corresponds to a different control system control level. These levels are defined according to the needs of the PAR control system, such as normal, warning, severe, etc. The calculated control value of the control system is compared with the interval value in the control level table to find out the interval where the control value is located. According to the control interval value of the target control system, the corresponding control level is found from the control level table. The corresponding control level is used as the current operation state of the PAR control system to guide subsequent adjustments and processing. The current operation state can be comprehensively and accurately evaluated to ensure the scientificity and effectiveness of the adjustment. The preset control level table can be used to automatically match the control interval and the control level to realize automatic control and improve the response speed and adjustment efficiency of the PAR control system. Through accurate control value calculation and control level matching, abnormal conditions can be discovered and processed in time, the operation state can be kept stable, and failures and downtime can be reduced. Based on the analysis of control values ​​and control levels, resource allocation and use can be optimized, operation efficiency can be improved, and resource waste can be reduced.

[0125] In a preferred embodiment, after the step of adjusting the PAR control system according to the control system regulation level, the method further includes:

[0126] Step 101, obtaining the operation status information of the adjusted target operation object and marking it as the second operation status information;

[0127] Step 102, returning the second running status information as the real-time running status information to the step of determining whether the real-time running status information meets the preset condition, and if not, obtaining the difference information between the real-time running status information and the preset condition, and marking it as deviation data;

[0128] Step 103, obtaining the corresponding deviation value according to the deviation data;

[0129] Step 104, obtaining the deviation threshold;

[0130] Step 105, determine whether the deviation value exceeds the deviation threshold. If so, construct an anomaly detection period, obtain the deviation value within the anomaly detection period, and summarize it into a deviation set;

[0131] Step 106, obtaining the number of times the deviation value in the deviation set exceeds the deviation threshold;

[0132] Step 107, obtain the threshold number of times, and determine whether the number of times exceeded is greater than the threshold number of times;

[0133] If the number of times exceeded is greater than the threshold number, it is determined that the PAR control system is abnormally regulated;

[0134] If the number of exceeding times is less than or equal to the threshold number, it is determined that the PAR control system is stable.

[0135] As in the above steps Step 101 to Step 107, after the PAR control system is regulated, the latest operating status information of the target operation object is immediately obtained, and this information is recorded as the second operating status information. The second operating status information is fed back to step S2, and a new judgment is made to ensure that the PAR control system operates within the preset conditions. If the new real-time operating status information still does not meet the preset conditions, the phase difference information will be obtained again and marked as deviation data, and the next step of analysis is entered. According to the deviation data fed back, the current deviation value is calculated to quantify the gap between the actual operating state and the preset standard. A deviation threshold is preset. The deviation threshold is the minimum allowable error set by the system itself, which is used to determine whether the deviation of the PAR control system is within an acceptable range. If the current deviation value exceeds the preset threshold, the abnormal detection mode will be entered, and all deviation values ​​within an abnormal detection period will be recorded. All deviation values ​​within the detection period are summarized to form a deviation set. In the deviation In the difference set, the number of times the deviation value exceeds the preset threshold is counted to determine the degree of abnormality in the operating status of the PAR control system. A threshold number is preset to determine the stability of the PAR control system regulation. If the number of excess times is greater than the threshold number, the PAR control system regulation is determined to be abnormal. If the number of excess times is less than or equal to the threshold number, the PAR control system regulation is determined to be stable. The adjusted operating status information can be obtained in real time, and feedback and secondary judgment can be made quickly to ensure timely response and adjustment. By constructing anomaly detection time periods and statistical deviation sets, abnormal situations can be accurately detected and quantified, and detailed anomaly analysis and diagnosis can be provided. By setting deviation thresholds and threshold numbers, the regulation effect can be effectively monitored and evaluated. Continuous monitoring and recording of deviation values ​​and their excess times can identify potential problems in advance, support preventive maintenance, and avoid sudden failures. Based on real-time feedback and deviation detection results, resource allocation and utilization can be optimized, operating efficiency can be improved, and resource waste can be reduced.

[0136] In a preferred embodiment, the step of determining whether the deviation value exceeds the deviation threshold, and if so, constructing an abnormality detection period, and obtaining the deviation value within the abnormality detection period, and summarizing the deviation value into a deviation set, includes:

[0137] Step 1051, determine whether the deviation value exceeds the deviation threshold;

[0138] If the deviation value does not exceed the deviation threshold, it is determined that the adjusted target operation object is running normally;

[0139] If the deviation value exceeds the deviation threshold, the adjusted target operation object is judged to be running abnormally, an abnormal detection period is constructed, and the deviation value within the abnormal detection period is obtained and summarized as a deviation set. The start time of the abnormal detection period is the time when the deviation value exceeds the deviation threshold. The calculation formula for the abnormal detection duration is: , where It is expressed as the anomaly detection duration, Expressed as deviation value, Denoted as the deviation threshold, Expressed as the coefficient of variation, It is represented as a preset historical time, and the end time of the anomaly detection period is determined according to the anomaly detection duration and the start time of the anomaly detection period.

[0140] As in the above step 1051, the calculated deviation value is compared with the deviation threshold (the minimum allowable error set by the system). If the deviation value does not exceed the deviation threshold, it is determined that the adjusted target operation object is operating normally and no further abnormality detection is required. If the deviation value exceeds the deviation threshold, it is determined that the target operation object is operating abnormally and abnormality detection is required. The start time of the abnormality detection period is the time point when the deviation value exceeds the deviation threshold as the start time of the abnormality detection period. The end time of the abnormality detection period is determined by the abnormality detection duration and the start time of the abnormality detection period. During the abnormality detection period, all deviation values ​​are recorded and summarized into a deviation set for further analysis and processing. By setting the deviation threshold, abnormal situations in the operation of the PAR control system can be effectively detected and identified. Only when the deviation value exceeds the set threshold will it enter the abnormal detection stage, thereby reducing false alarms and unnecessary detections. Timely detection and processing of abnormal situations that exceed the threshold will help maintain the stability of the PAR control system, prevent further expansion of operating problems, and keep the PAR control system within the preset normal range. Determine the start and end time of the abnormal detection period so that the abnormal detection has a clear time range, which is helpful for accurately analyzing and identifying the time period when the problem occurs, and optimize subsequent adjustments and maintenance. The deviation values ​​are aggregated within the abnormal detection period to form a deviation set, which can record and analyze abnormal data in detail, provide accurate fault diagnosis basis, and analyze the deviation set within the abnormal detection period. It is helpful to discover potential problems in the PAR control system and improve the performance and reliability of the PAR control system.

[0141] Please see attached Figure 2 As shown, the present invention also provides a PAR intelligent operation precision control system, which is used for the above PAR intelligent operation precision control method, comprising:

[0142] Real-time status module, used to obtain real-time operation status information of the target operation object;

[0143] The status judgment module is used to judge whether the real-time operation status information meets the preset conditions. If not, the difference information between the real-time operation status information and the preset conditions is obtained and marked as deviation data;

[0144] A deviation module, used to obtain a corresponding deviation coefficient according to the deviation data;

[0145] A sensor signal module is used to obtain a plurality of sensor signal data corresponding to a target operation object in a PAR control system within a preset historical time, and obtain a sensor signal coefficient according to the plurality of sensor signal data;

[0146] An operation evaluation module is used to obtain a plurality of historical system throughput data, a plurality of historical resource utilization data, and a plurality of historical network delay data of the PAR control system within a preset historical time, and obtain a system operation evaluation value of the PAR control system according to the plurality of historical system throughput data, the plurality of historical resource utilization data, and the plurality of historical network delay data;

[0147] A comprehensive calculation module is used to calculate the control system control value according to the deviation coefficient, the sensor signal coefficient and the system operation evaluation value;

[0148] A control level module is used to obtain the control level of the control system corresponding to the control value of the control system;

[0149] The adjustment module is used to adjust the PAR control system according to the control system regulation level.

[0150] As mentioned above, the real-time status module is responsible for obtaining the real-time operation status information of the target operation object, which includes the actual working conditions and performance data of the PAR control system. The status judgment module judges whether the obtained real-time operation status information meets the preset conditions. If not, the phase difference information between the real-time operation status information and the preset conditions is obtained and marked as deviation data. The deviation module calculates the deviation coefficient by analyzing the deviation data. The coefficient is used to reflect the gap between the actual operation status and the preset conditions. The sensor signal module analyzes the sensor signal in the historical data and calculates its similarity with the current data to evaluate the stability and reliability of the sensor. The operation evaluation module obtains the overall operation evaluation value of the system by comprehensively evaluating the historical performance data of the system, reflecting the operation efficiency and health status of the PAR control system. The comprehensive calculation module combines the above data to calculate the control value of the PAR control system. The control level module compares the control value with the control level table to determine the PA The R control system's current regulation level is used to guide the adjustment operation. The adjustment module makes necessary adjustments to the PAR control system according to the regulation level to optimize the operating state of the PAR control system and ensure that it is within the optimal performance range. It accurately monitors the target operating object and ensures that the system can quickly obtain and respond to information on the current operating state, detect and record deviation data in a timely manner, and provide a basis for subsequent abnormal analysis and processing. By calculating the deviation coefficient, it can deeply analyze the gap between the actual operating state and the preset standard, and provide data support for optimization and adjustment. By calculating the sensor signal coefficient, the stability and reliability of the sensor are evaluated to ensure the accuracy of the data. By integrating historical data, a comprehensive operation evaluation value of the system is provided, which helps to understand the overall performance and health status of the system, realizes automatic system adjustment based on the regulation level, improves the response speed and regulation efficiency of the system, and can continuously perform optimization and adjustment to maintain the best operating state and improve the stability and efficiency of the system.

[0151] And, a PAR intelligent operation precision control terminal, comprising:

[0152] one or more processors;

[0153] a storage device having one or more programs stored thereon;

[0154] When the one or more programs are executed by the one or more processors, the one or more processors implement the PAR intelligent operation precise control method.

[0155] The above is only a preferred embodiment of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention shall be implemented according to the conventional means in the art unless otherwise specified and limited.

Claims

1. A PAR intelligent operation precision control method, characterized in that: include: Obtain the real-time operation status information of the target operation object; Determine whether the real-time running status information meets the preset conditions. If not, obtain the difference information between the real-time running status information and the preset conditions and mark it as deviation data; Obtain the corresponding deviation coefficient according to the deviation data; Acquire a plurality of sensor signal data corresponding to a target operation object in a PAR control system within a preset historical time, and acquire a sensor signal coefficient according to the plurality of sensor signal data; Acquire a plurality of historical system throughput data, a plurality of historical resource utilization data, and a plurality of historical network delay data of the PAR control system within a preset historical time, and acquire a system operation evaluation value of the PAR control system according to the plurality of historical system throughput data, the plurality of historical resource utilization data, and the plurality of historical network delay data; Calculate the control system control value according to the deviation coefficient, the sensor signal coefficient and the system operation evaluation value; Obtaining the control system control level corresponding to the control system control value; Adjust the PAR control system according to the control system regulation level; The step of obtaining a plurality of historical system throughput data, a plurality of historical resource utilization data, and a plurality of historical network delay data of the PAR control system within a preset historical time, and obtaining a system operation evaluation value of the PAR control system according to the plurality of historical system throughput data, the plurality of historical resource utilization data, and the plurality of historical network delay data, comprises: Acquire multiple historical system throughput data, multiple historical resource utilization data, and multiple historical network delay data of the PAR control system within a preset historical time; Obtain corresponding throughputs of multiple historical systems according to throughput data of multiple historical systems; Acquire corresponding multiple historical resource utilization rates according to multiple historical resource utilization data; Acquire corresponding multiple historical network delay values ​​according to multiple historical network delay data; Obtaining a first weight value corresponding to a historical system throughput; Obtaining a second weight value corresponding to the historical resource utilization rate; Obtain a third weight value corresponding to the historical network delay value; The system operation evaluation value is calculated according to multiple historical system throughputs, multiple historical resource utilizations, multiple historical network delay values, a first weight value, a second weight value, and a third weight value, wherein the calculation formula is: , where is represented by the system operation evaluation value, k is represented by the number of multiple historical system throughputs, the number of multiple historical resource utilizations, and the number of multiple historical network delay values, g is represented by the total number of multiple historical system throughputs, the total number of multiple historical resource utilizations, and the total number of multiple historical network delay values, is represented by the kth historical system throughput, α is represented by the first weight value, is represented by the kth historical system resource utilization, β is represented by the second weight value, is represented as the kth historical network delay value, and γ is represented as the third weight value.

2. The PAR intelligent operation precision control method according to claim 1 is characterized in that: The step of determining whether the real-time operation status information meets the preset conditions, and if not, obtaining the difference information between the real-time operation status information and the preset conditions and marking it as deviation data, comprises: Obtain standard operating status information of the target operation object; Determine whether the real-time operation status conforms to the standard operation status information; If the real-time operation status conforms to the standard operation status information, it is determined that the target operation object is running normally; If the real-time operation status does not conform to the standard operation status information, the target operation object is determined to be operating abnormally, and the difference information between the real-time operation status information and the standard operation status information is obtained and marked as deviation data.

3. The PAR intelligent operation precision control method according to claim 1 is characterized in that: The step of obtaining the corresponding deviation coefficient according to the deviation data includes: Obtain corresponding deviation value according to deviation data; Obtain the corresponding deviation weight value according to the deviation value; Get the standard deviation value; The deviation coefficient is calculated based on the deviation value, deviation weight value and standard deviation value, where the calculation formula is: , where Expressed as the coefficient of variation, Expressed as deviation value, Expressed as the bias weight value, Expressed as standard deviation value.

4. The PAR intelligent operation precision control method according to claim 1 is characterized in that: The step of obtaining a plurality of sensor signal data corresponding to a target operation object in the AR control system within a preset historical time, and obtaining a sensor signal coefficient according to the plurality of sensor signal data includes: Acquire multiple sensor signal data corresponding to the target operation object in the PAR control system within a preset historical time; Acquire multiple sensor signal values ​​corresponding to each sensor signal data according to the multiple sensor signal data; Acquire a sensor signal standard value corresponding to each sensor signal data according to the plurality of sensor signal data; The sensor signal coefficient is calculated according to multiple sensor signal values ​​and the sensor signal standard value corresponding to each sensor signal data, wherein the calculation formula is: , where It is represented as the sensor signal coefficient, i represents the number of multiple sensor signal data and the number of sensor signal standard values, n represents the total number of multiple sensor signal data and the total number of sensor signal standard values, represents the sensor signal standard value corresponding to the i-th sensor signal data, r represents the serial number of the multiple sensor signal values ​​corresponding to the i-th sensor signal data, m represents the total number of the multiple sensor signal values ​​corresponding to the i-th sensor signal data, It is represented by the rth sensor signal value corresponding to the i-th sensor signal data.

5. The PAR intelligent operation precision control method according to claim 1 is characterized in that: The step of calculating the control system control value according to the deviation coefficient, the sensor signal coefficient and the system operation evaluation value, and obtaining the control system control level corresponding to the control system control value includes: The control system control value is calculated based on the deviation coefficient, sensor signal coefficient and system operation evaluation value, where the calculation formula is: , where X represents the control value of the control system, Expressed as the coefficient of variation, Expressed as the sensor signal coefficient, It is expressed as the system operation evaluation value; Obtaining a control level table, wherein the control level table includes a plurality of control system control interval values ​​and a control system control level corresponding to each control system control interval value; Obtaining a corresponding target control system control interval value according to the control system control value; According to the target control system control interval value, the corresponding control system control level is obtained from the control level table.

6. The PAR intelligent operation precision control method according to claim 1 is characterized in that: After the step of adjusting the PAR control system according to the control system regulation level, the method further includes: Acquire the running state information of the adjusted target operation object and mark it as the second running state information; Returning the second running status information as the real-time running status information to the step of determining whether the real-time running status information meets the preset condition, and if not, obtaining the difference information between the real-time running status information and the preset condition and marking it as deviation data; Obtain corresponding deviation value according to deviation data; Get the deviation threshold; Determine whether the deviation value exceeds the deviation threshold. If so, construct an anomaly detection period, obtain the deviation value within the anomaly detection period, and summarize it into a deviation set; Get the number of times the deviation value in the deviation set exceeds the deviation threshold; Get the threshold number of times, and determine whether the number of times exceeded is greater than the threshold number of times; If the number of times exceeded is greater than the threshold number, it is determined that the PAR control system is abnormally regulated; If the number of exceeding times is less than or equal to the threshold number, it is determined that the PAR control system is stable.

7. The PAR intelligent operation precision control method according to claim 6 is characterized in that: The step of determining whether the deviation value exceeds the deviation threshold, and if so, constructing an abnormality detection period, obtaining the deviation value within the abnormality detection period, and summarizing the deviation value into a deviation set includes: Determine whether the deviation value exceeds the deviation threshold; If the deviation value does not exceed the deviation threshold, it is determined that the adjusted target operation object is running normally; If the deviation value exceeds the deviation threshold, the adjusted target operation object is judged to be running abnormally, an abnormal detection period is constructed, and the deviation value within the abnormal detection period is obtained and summarized as a deviation set. The start time of the abnormal detection period is the time when the deviation value exceeds the deviation threshold. The calculation formula for the abnormal detection duration is: , where It is expressed as the anomaly detection duration, Expressed as deviation value, Denoted as the deviation threshold, Expressed as the coefficient of variation, It is represented as a preset historical time, and the end time of the anomaly detection period is determined according to the anomaly detection duration and the start time of the anomaly detection period.

8. A PAR intelligent operation precision control system, applied to the PAR intelligent operation precision control method according to any one of claims 1 to 7, characterized in that: include: Real-time status module, used to obtain real-time operation status information of the target operation object; The status judgment module is used to judge whether the real-time operation status information meets the preset conditions. If not, the difference information between the real-time operation status information and the preset conditions is obtained and marked as deviation data; A deviation module, used to obtain a corresponding deviation coefficient according to the deviation data; A sensor signal module is used to obtain a plurality of sensor signal data corresponding to a target operation object in a PAR control system within a preset historical time, and obtain a sensor signal coefficient according to the plurality of sensor signal data; An operation evaluation module is used to obtain a plurality of historical system throughput data, a plurality of historical resource utilization data, and a plurality of historical network delay data of the PAR control system within a preset historical time, and obtain a system operation evaluation value of the PAR control system according to the plurality of historical system throughput data, the plurality of historical resource utilization data, and the plurality of historical network delay data; A comprehensive calculation module is used to calculate the control system control value according to the deviation coefficient, the sensor signal coefficient and the system operation evaluation value; A control level module is used to obtain the control level of the control system corresponding to the control value of the control system; The adjustment module is used to adjust the PAR control system according to the control system regulation level.

9. A PAR intelligent operation precision control terminal, characterized in that: include: one or more processors; a storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the one or more processors implement the PAR intelligent operation precision control method as described in any one of claims 1-7.

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