An online monitoring system for safe power consumption of electrical automation equipment

Abstract

The present invention belongs to the technical field of equipment power consumption monitoring, and specifically discloses an online monitoring system for safe power consumption of electrical automation equipment, which includes a production setting input module, an equipment operation monitoring module, an electrical index setting module, a monitoring correction analysis module, an information base, and a monitoring correction execution terminal. The present invention analyzes the operation information of each monitoring device in real time, analyzes each electrical index and each reference electrical index in combination with the operation content and the operation log, and performs monitoring correction analysis, which effectively solves the current problem of ignoring the actual demand differences of different monitoring objects, ensures the rationality of the monitoring frequency setting, reduces the data processing burden on the premise of ensuring the safety of equipment power consumption, and thus ensures the timeliness of data processing. At the same time, by monitoring multiple electrical parameters and multiple environmental parameters, the reference and representativeness of the electrical index analysis results are guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of equipment power consumption monitoring, and in particular, relates to an online monitoring system for safe power consumption of electrical automation equipment. Background Art

[0002] Electrical automation equipment refers to equipment that uses electrical technology and automation control technology to control and manage industrial production processes. It is widely used in industrial manufacturing, energy management, transportation, building automation and other fields. Its main purpose is to improve production efficiency, reduce energy consumption, and improve product quality and safety. In order to ensure the stability and safety of equipment operation, its electricity safety needs to be monitored online.

[0003] Prior art, such as a Chinese invention patent application with application publication number CN114152835A, discloses a power safety monitoring system, which monitors the power usage status of the transmission line and the user end in real time at the same time. When an abnormality in the power usage status of the transmission line or the user end is detected, the corresponding fault information can be generated and reported to the server in a timely manner. After receiving the fault information, the server can automatically send the line fault information to the corresponding maintenance terminal, thereby realizing rapid repair of the transmission line. At the same time, considering the different personal needs of users, after receiving the power fault information, the server first sends the fault prompt information to the corresponding user terminal, to ensure that the user of the user terminal is informed of the fault in the first time, and prompts the user to choose whether to agree to the maintenance. After the user agrees to the maintenance, the fault information is sent to the corresponding maintenance terminal for on-site maintenance, thereby realizing real-time and efficient monitoring of power safety.

[0004] Another example of the prior art is a Chinese invention patent application with application publication number CN116593798A, which discloses a method and system for monitoring electricity safety based on electricity consumption characteristics. The method determines the stability coefficient of the equipment operation by comparing the stability coefficient Wdxs of the electricity consumption characteristics of the equipment operation with the threshold value Tm, thereby normalizing the electricity consumption characteristics of the equipment, reducing the number of data processing times, reducing the load on the detection equipment, and effectively preventing the monitoring equipment from being in a high-load state for a long time, thereby greatly extending the service life of the monitoring equipment.

[0005] Regarding the above two technical solutions, it is obvious that the current equipment safety electricity monitoring mainly focuses on the power status monitoring of transmission lines and user ends, as well as how to improve monitoring efficiency and user experience through intelligent means. There are still the following deficiencies: 1. The current monitoring system tends to adopt real-time monitoring. This approach ignores the actual demand differences of different monitoring objects, and the rationality of monitoring frequency setting is still lacking. At the same time, it increases the data processing burden and is prone to data processing delays or omissions of important information.

[0006] 2. Currently, only a single or a few key indicators are focused on, and more factors that affect the health of the equipment, such as environmental factors and the equipment's past usage, are not considered comprehensively, making the electrical analysis results less referenceable and representative.

[0007] 3. There are still some deficiencies in improving the timeliness of early warning. The current fixed monitoring settings lead to data processing overload, affecting processing speed and accuracy. It may also increase the response time of data processing, thereby affecting real-time and timeliness of decision-making, and also increase the false alarm rate and safety risks of equipment early warnings, making the safety of equipment operation insufficient. Summary of the invention

[0008] In view of this, in order to solve the problems raised in the above background technology, an online monitoring system for safe electricity use of electrical automation equipment is now proposed.

[0009] The objective of the present invention can be achieved through the following technical solution: The present invention provides an online monitoring system for safe electricity use of electrical automation equipment, the system comprising a production setting input module, which is used to record each production equipment in the current factory as each monitoring device, and input the operation content, operation log, initial monitoring frequency and associated monitoring elements of each monitoring device.

[0010] The equipment operation monitoring module is used to monitor the operation information of each monitoring device in real time through associated monitoring elements, including the values ​​of various electrical parameters and various environmental parameters.

[0011] The electrical index setting module is used to analyze the electrical indexes of each monitoring device based on the operation information, and to set the reference electrical indexes of each monitoring device based on the operation content and operation log.

[0012] The monitoring and correction analysis module is used to confirm the monitoring and correction equipment based on various electrical indicators and various reference electrical indicators, and at the same time confirm the correction monitoring frequency of the monitoring and correction equipment.

[0013] The information base is used to store the reference change curves of various electrical parameters, the power safety impact weights, set early warning trigger values ​​and set early warning trigger critical intervals, and store the interference values ​​and interference critical intervals of various environmental parameters.

[0014] The monitoring and correction execution terminal is used to feed back the corrected monitoring frequency of the monitoring and correction device to the associated monitoring element of the monitoring and correction device to correct the monitoring frequency.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention analyzes the operating information of each monitoring device in real time, and analyzes each electrical index and each reference electrical index in combination with the operation content and the operation log, and then performs monitoring correction analysis, thereby effectively solving the current problem of ignoring the actual demand differences of different monitoring objects, ensuring the rationality of the monitoring frequency setting, and under the premise of ensuring the safety of equipment electricity use, reasonably and effectively reducing the data processing burden, thereby ensuring the timeliness of data processing and reducing the probability of missing important information.

[0016] (2) The present invention comprehensively considers multiple factors that affect the health status of the equipment by monitoring multiple electrical parameters and multiple environmental parameters and analyzing each electrical indicator, avoiding the shortcomings of the current focus on a single or a few key indicators, thereby ensuring the reference and representativeness of the electrical indicator analysis results.

[0017] (3) When analyzing electrical indicators, the present invention analyzes the electrical status safety of the monitoring equipment by combining the proportion of the number of critical warning parameters and the sum of the power safety weights of the critical warning parameters, and comprehensively considers the influence of the warning electrical parameters and the critical warning parameters. It can comprehensively evaluate the electrical status of the equipment, improve the authenticity and rationality of the electrical status safety assessment results, and also ensure the effectiveness and representativeness of the electrical status safety assessment results. At another level, it is also convenient to provide early warning of potential faults or safety problems, which helps to take measures early to avoid equipment damage or accidents.

[0018] (4) The present invention makes up for the current shortcomings in improving the timeliness of early warning by comparing electrical indicators with reference to electrical indicators to confirm the monitoring and correction equipment and the correction monitoring frequency of the monitoring and correction equipment, avoids the overload of data processing terminals caused by fixed monitoring settings, and significantly reduces the impact on data processing speed and processing accuracy to a certain extent. At the same time, it also ensures the timeliness of data processing response, thereby ensuring the real-time response of the monitoring equipment's electricity safety early warning and the timeliness of the early warning decision, and also reduces the false alarm rate and safety risks of equipment early warnings, further improving the safety of equipment operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0020] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0021] Figure 2 The figure is a schematic diagram showing the overall process of monitoring safe electricity use of the equipment of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] See also Figure 1 and Figure 2 As shown, the present invention provides an online monitoring system for safe electricity use of electrical automation equipment, the system comprising: a production setting input module, an equipment operation monitoring module, an electrical index setting module, a monitoring correction analysis module, an information library and a monitoring correction execution terminal.

[0024] In the above, the production setting input module is respectively connected to the equipment operation monitoring module, the electrical indicator setting module and the monitoring correction analysis module, the electrical indicator setting module is respectively connected to the equipment operation monitoring module, the information library and the monitoring correction analysis module, and the monitoring correction analysis module is also connected to the monitoring correction execution terminal.

[0025] The production setting input module is used to record each production equipment in the current factory as each monitoring equipment, and input the operation content, operation log, initial monitoring frequency and related monitoring elements of each monitoring equipment.

[0026] Specifically, the job content involves but is not limited to the job type, the number of operation items, the number of set linkage control devices for each operation item, and the set operation duration, wherein the job type can be generally summarized as processing and non-processing.

[0027] Specifically, the operation log records include but are not limited to the real-time monitoring operation information corresponding to each historical production day.

[0028] In another specific embodiment, the associated monitoring element is composed of a temperature sensor, a humidity sensor, a vibration sensor, a voltage sensor, a current sensor, and the like.

[0029] The equipment operation monitoring module is used to monitor the operation information of each monitoring equipment in real time through associated monitoring elements, including the values ​​of each electrical parameter and each environmental parameter.

[0030] Specifically, electrical parameters include but are not limited to voltage and load current, and environmental parameters include but are not limited to temperature, noise, and vibration frequency.

[0031] The electrical index setting module is used to analyze the electrical indexes of the monitoring devices based on the operation information, and to set the reference electrical indexes of the monitoring devices based on the operation content and the operation log.

[0032] The embodiment of the present invention monitors multiple electrical parameters and multiple environmental parameters and performs analysis on various electrical indicators, comprehensively considering multiple factors that affect the health status of the equipment, avoiding the shortcomings of the current focus on single or a few key indicators, and thus ensuring the reference and representativeness of the electrical indicator analysis results.

[0033] Specifically, analyze the electrical indicators of each monitoring device, including: A1. Set the electrical evaluation interference factor of each monitoring device , Indicates the monitoring device number. .

[0034] A2. Using time as the horizontal axis and the value of each electrical parameter as the vertical axis, construct the monitoring change curve of each electrical parameter. At the same time, extract the reference change curve of each electrical parameter from the information database, analyze the electrical change consistency of each monitoring device, and record it as .

[0035] A3. Filter out the maximum values ​​of the electrical parameters corresponding to the various monitoring devices from the values ​​of the electrical parameters of the various monitoring devices monitored in real time as reference values.

[0036] A4. Extract the warning trigger value and the warning trigger critical interval of each electrical parameter from the information database.

[0037] A5. An electrical parameter whose reference value is greater than or equal to its set warning trigger value is recorded as a warning electrical parameter, and an electrical parameter whose reference value is less than or equal to its set warning trigger value and the difference between the reference value and the warning trigger value is within the set warning trigger critical range is recorded as a critical warning parameter.

[0038] A6. For each monitoring device, count the number of its warning electrical parameters and the number of critical warning parameters. If a monitoring device has at least one warning electrical parameter, the electrical state safety of the device is 0. Otherwise, calculate the ratio of the number of critical warning parameters to the total number of electrical parameters and record it as .

[0039] A7. Extract the power safety impact weights of each electrical parameter in the information database and sum them up for all critical warning parameters, and record them as .

[0040] A8. As the electrical status safety of the monitoring equipment , so as to obtain the electrical status safety of each monitoring device , The value is 0 or .

[0041] A9. The electrical change consistency and electrical status safety are used as electrical indicators of each monitoring device.

[0042] In a specific embodiment, It is the ratio of the number of critical warning electrical parameters to the total number of electrical parameters, indicating the degree to which the monitoring equipment is close to the warning state but has not reached the warning state, that is, It reflects the safety of the number of critical warning parameters and the critical warning status. It is the sum of the power safety impact weights of all critical warning parameters, reflecting the potential risks brought about by these parameters approaching the warning threshold. The impact of electrical parameters approaching the warning threshold on system safety is considered. and The minimum value of can ensure that the electrical status safety reflects the most unfavorable situation, that is, the number of warning parameters accounts for a high proportion or the sum of the weights of critical warning parameters is large.

[0043] It should be added that the electrical state safety The calculation formula is set with reference to the ReLU function. When the values ​​of the electrical parameters do not reach the set warning trigger value, the proportion of the critical warning parameters and the and The minimum value of the trigger warning value is not directly compared with the calculation, in order to avoid the safety degree change caused by the direct comparison of the trigger warning value, which is too linear and cannot accurately reflect the risk level in the actual situation. and The minimum value of belongs to nonlinear scaling, which can ensure a more accurate safety assessment, especially when approaching the warning threshold.

[0044] At the same time, by combining the total weight of power safety impact and the proportion of critical warning parameters, it is possible to avoid safety evaluation distortion and prevent excessive safety evaluation. For example, if only , then even if there are many parameters close to the warning threshold, as long as the warning threshold is not reached, the safety assessment may be too high. , it can ensure that even if the warning threshold is not reached, when multiple parameters are close to the warning threshold, the safety assessment will be reduced accordingly, and by taking and The minimum value can be flexibly adjusted according to actual conditions to adapt to different electrical systems and different warning threshold settings, providing higher adaptability so that the safety assessment can more accurately reflect the risks in various situations and facilitate more detailed risk management, especially in dealing with situations that are close to warnings but have not yet reached warnings.

[0045] When analyzing electrical indicators, the embodiment of the present invention analyzes the electrical state safety of the monitoring equipment by combining the proportion of the number of critical warning parameters and the sum of the power safety weights of the critical warning parameters, and comprehensively considers the influence of the warning electrical parameters and the critical warning parameters that have been reached. The electrical state of the equipment can be comprehensively evaluated, and the authenticity and rationality of the electrical state safety assessment results are improved. At the same time, the effectiveness and representativeness of the electrical state safety assessment results are also guaranteed. At another level, it is also convenient to provide early warning of potential faults or safety problems, which helps to take measures early to avoid equipment damage or accidents.

[0046] Furthermore, regarding setting the electrical evaluation interference factor of each monitoring device in step A1, it includes: A11, forming a list of each environmental parameter with the numerical values ​​of each environmental parameter monitored in real time.

[0047] A12. Extract the interference value and critical interference range of each environmental parameter from the information database.

[0048] A13. Traverse the value list of each environmental parameter to check whether it exceeds the interference value. If so, the interference factor of the environmental parameter is 1. If it does not exceed and the difference with the interference value is within the interference critical interval, perform a critical marking, and count the ratio of the number of critical marking times to the number of values ​​in the value list as the interference factor of the environmental parameter. In this way, the interference factor of each environmental parameter corresponding to each monitoring device is obtained.

[0049] A14. Set the weight of each environmental parameter, based on the interference factor of each monitoring device corresponding to each environmental parameter, and calculate the electrical evaluation interference factor of each monitoring device through weighted summation.

[0050] In a specific embodiment, a specific calculation example process of the electrical evaluation interference factor of each monitoring device is as follows: Assume that the environmental parameters are temperature, humidity and vibration frequency in sequence.

[0051] Set the weights of temperature, humidity and vibration frequency as follows: , and , .

[0052] The interference factors of temperature, humidity and vibration frequency corresponding to each monitoring device are recorded as , and .

[0053] Calculate the electrical evaluation interference factor for each monitoring device , .

[0054] It should be added that excessively high or low temperatures will affect the performance of internal components of electrical equipment, such as resistors, capacitors, and semiconductor devices. At the same time, temperature changes will cause thermal expansion and contraction of mechanical parts, affecting the structural integrity of the equipment. Therefore, the temperature weight is set to the largest. Vibration can cause loose electrical connections or poor contact, affecting the continuity of the circuit. At the same time, long-term vibration will accelerate the wear of mechanical parts and cause equipment failure. It may also affect the performance of precision electronic components, such as sensors and controllers. Therefore, the vibration frequency weight is set to the second largest. Excessive humidity may cause electrical connection points and insulating materials to become damp, thereby increasing the risk of short circuits. Therefore, for the electrical level of the equipment, although humidity has a certain impact on electrical equipment, in most cases, its impact weight is relatively low. For example, , and The possible values ​​are 0.45, 0.35 and 0.2 respectively.

[0055] Furthermore, regarding the analysis of the electrical change consistency of each monitoring device in step A2, it includes: A21, overlapping and comparing the reference change curve of each electrical parameter with the corresponding monitoring change curve to obtain the length of the overlapping curve, and recording the ratio of the length of the overlapping curve to the length of the corresponding monitoring change curve as the overlap ratio.

[0056] A22. If the coincidence ratio of a certain electrical parameter is 1, the degree of coincidence of the change of the electrical parameter is recorded as 1; otherwise, the electrical parameter is recorded as a verification parameter.

[0057] A23. Divide the monitoring change curve of the verification parameter into two equal parts and mark the dividing point as the dividing point.

[0058] A24. Extract the length of the overlap curve between the reference change curve of the verification parameter and the monitoring change curve after the demarcation point, and compare it with the length of the overlap curve of the verification parameter. The ratio is taken as the rear-end overlap ratio and recorded as , and then As the change consistency of the verification parameter, the change consistency of each monitoring device corresponding to each electrical parameter is obtained, which is recorded as , The value is 1 or , Indicates Electrical parameters, .

[0059] A25. Record the power safety impact weight of each electrical parameter as , calculate the electrical change consistency of each monitoring device , .

[0060] In a specific embodiment, in some cases, the monitored electrical parameter change curve may not completely match the reference change curve in the entire time period, but there may be certain specific time periods where the consistency is higher. Through the two-equal division, it is possible to more carefully analyze which parts of the change are closer to the reference change curve. For example, in practical applications, some sudden interference or abnormal events may occur, which may cause instantaneous changes in electrical parameters and affect the overall consistency assessment. Through the two-equal division, the impact of these abnormal events can be isolated in a shorter time period.

[0061] It should also be added that at the beginning of the equipment startup, due to the influence of various factors, such as initial conditions, mechanical inertia, thermal effects, etc., the electrical parameters may experience large instantaneous changes, which may lead to a low degree of fit between the monitoring change curve and the reference change curve. As the equipment operation time increases, the equipment electrical parameters will gradually stabilize, and the changes in electrical parameters will become more regular. Therefore, by analyzing the back-end overlap, the electrical change law of the monitoring equipment can be more accurately evaluated, and it is also more conducive to analyzing the actual change deviation of the monitoring equipment, that is, to improve the accuracy of the electrical change fit results.

[0062] In another specific embodiment, the reference electrical indicators of each monitoring device are set, including: H1, extracting the operation type, the number of operation items, the number of linkage control devices set for each operation item, and the set operation duration from the operation content, and setting the operation control demand factor of each monitoring device, recorded as .

[0063] H2. Extract the real-time monitoring operation information corresponding to each historical production day from the operation log, and set the electrical fluctuation correction factor of each monitoring device, recorded as .

[0064] H3. Calculate the reference electrical state safety of each monitoring device , , The safety level of the set reference electrical state. and are the assessment weights at the operation level and electrical fluctuation level, .

[0065] H4. Follow The reference electrical change consistency of each monitoring device is calculated in the same way, and the reference electrical change consistency and the reference electrical state safety are respectively used as the reference electrical indicators of each monitoring device.

[0066] It should be added that the calculation formula for the electrical change consistency is: , The set benchmark electrical change consistency, and the benchmark electrical state safety and the benchmark electrical change consistency are extracted from the operation safety assessment specification of the corresponding monitoring equipment. For example, The value can be 0.5. The value can be 0.4.

[0067] In a specific embodiment, when the electrical fluctuation is large, it reflects that the stability of the past power has been significantly poor. At this time, when setting the reference value, it should tend to be larger to ensure the power safety at this time. The operation reflects the possible fluctuation of the power to a certain extent, so the reference value also needs to be slightly adjusted. Therefore, for the reference setting, the electrical fluctuation has a greater impact, that is, the evaluation weight at the electrical fluctuation level is greater than the evaluation weight at the operation level, that is, , illustratively, and The values ​​can be 0.4 and 0.6 respectively.

[0068] Further, regarding the setting of the operation control demand factor of each monitoring device in step H1, it includes: H11, the operation complexity factor of the operation type of processing is recorded as , the complexity factor of the non-processing operation is recorded as , and then the operation complexity factor of each monitoring device is recorded as , The value is or , , .

[0069] It should be added that when the operation is processing, it is necessary to directly work on the material and involve the electrical control of many devices. Therefore, the operation complexity factor of the operation type of processing is set to be greater than the operation complexity factor of the operation type of non-processing. In a specific embodiment, The value can be 0.7. The value can be 0.3.

[0070] H12. Calculate the average number of linkage control devices set for each monitoring device corresponding to each operation item to obtain the average number of linkage control devices, which is recorded as , and at the same time, the setting operation time of each monitoring device corresponding to each operation item is summed up to obtain the total setting operation time of each monitoring device, which is recorded as .

[0071] H13. Record the number of operation items of each monitoring device as , calculate the operation control demand factor of each monitoring device , , To set the reference task difficulty coefficient, is a natural constant.

[0072] It should be added that the job control demand factor is set by referring to the Sigmoid function. Indicates The production difficulty trend of each monitoring device, Indicates The production difficulty coefficient of each monitoring device, and It can be extracted from the production planning table of the monitoring equipment. For example, The value can be 0.3.

[0073] In a specific embodiment, assuming that the current factory is an automobile manufacturing plant, and the monitoring equipment is taken as a production equipment in a certain link, such as the production equipment in the welding link, the monitoring equipment is recorded as welding equipment, wherein the specific calculation schematic process of its operation control demand factor is as follows: the operation complexity factor of the welding equipment is recorded as , .

[0074] Equipment startup, parameter setting, and welding execution are taken as the operation items of the welding equipment, that is, the number of operation items of the welding equipment is recorded as 3.

[0075] The number of linkage control devices corresponding to each operation item of the welding equipment is extracted, among which the number of linkage control devices for equipment startup is 1, the number of linkage control devices for parameter setting is 2, and the number of linkage control devices for welding execution is 3, that is, the average number of linkage control devices for welding equipment is 2.

[0076] The setup operation time corresponding to each operation item of the welding equipment is extracted, among which the setup operation time for equipment startup is 2 minutes, the setup operation time for parameter setting is 5 minutes, and the setup operation time for welding execution is 10 minutes, that is, the total setup operation time for the welding equipment is 17 minutes.

[0077] Calculate the difficulty coefficient of welding equipment: , that is, 0.35 is used as the difficulty coefficient of the welding equipment.

[0078] Calculate the job control demand factor for welding equipment: .

[0079] In another specific embodiment, exemplarily, the interlocking control device for starting the equipment is a welding power supply, the number of interlocking control devices for parameter setting is a welding power supply and a gas flow controller, and the number of interlocking control devices for welding execution is a welding power supply, a wire feeding mechanism, and a posture moving welding gun.

[0080] Further, regarding setting the electrical fluctuation correction factor of each monitoring device in step H2, it includes: H21, according to and The statistical method is similar to that of the above to obtain the electrical change consistency and electrical status safety of each monitoring equipment on each historical production day.

[0081] H22. With historical production days as the horizontal axis and electrical change consistency and electrical state safety as the vertical axes, construct the electrical change consistency curve and electrical state safety curve of each monitoring device.

[0082] H23. Extract the number of fluctuation points of the electrical change consistency curve and the electrical state safety curve, and record them as the number of electrical consistency fluctuations and the number of electrical safety fluctuations respectively.

[0083] H24. Calculate the ratios of the number of electrical matching fluctuations and the number of electrical safety fluctuations to the number of historical production days respectively, and record the ratios as the electrical matching fluctuation ratio and the electrical safety fluctuation ratio respectively, and select the maximum value from them as the electrical fluctuation correction factor for each monitoring equipment.

[0084] The embodiment of the present invention analyzes the operating information of each monitoring device in real time, analyzes each electrical indicator and each reference electrical indicator in combination with the job content and the job log, and then performs monitoring correction analysis, thereby effectively solving the current problem of ignoring the differences in actual needs of different monitoring objects, ensuring the rationality of the monitoring frequency setting, and under the premise of ensuring the safety of equipment electricity use, reasonably and effectively reducing the data processing burden, thereby ensuring the timeliness of data processing and reducing the probability of missing important information.

[0085] The monitoring and correction analysis module is used to confirm the monitoring and correction equipment based on each electrical index and each reference electrical index, and at the same time confirm the correction monitoring frequency of the monitoring and correction equipment.

[0086] Specifically, the confirmation monitoring and correction equipment includes: calculating the difference between each electrical indicator of each monitoring device and each reference electrical indicator to obtain the numerical difference of each electrical indicator corresponding to each monitoring device.

[0087] The operation control demand factor of each monitoring device is extracted, and the numerical difference of the electrical index less than 0 is used as correction condition 1.

[0088] The numerical difference of each electrical indicator is greater than or equal to 0, and the operation control demand factor of the monitoring equipment is less than the set reference operation control demand factor, which is used as correction condition 2.

[0089] The monitoring equipment that meets correction condition 1 or meets correction condition 2 is recorded as monitoring correction equipment.

[0090] In a specific embodiment, the reference operation control demand factor is set to a real number whose value is greater than 0 and less than 1. Exemplarily, the reference operation control demand factor may be set to a value of 0.4.

[0091] In yet another specific embodiment, confirming the correction monitoring frequency of the monitoring and correction device includes: if the monitoring and correction device meets correction condition 1, increasing it as its correction trend; if the monitoring and correction device meets correction condition 2, decreasing it as its correction trend.

[0092] The initial monitoring frequency of the monitoring and correction equipment is recorded as , the numerical differences of the monitoring and correction equipment corresponding to each electrical index are recorded as and .

[0093] If the correction trend is increasing, calculate the correction monitoring frequency of the monitoring correction equipment, recorded as , , To set the constant, .

[0094] If the correction trend is decreasing, calculate the correction monitoring frequency of the monitoring correction equipment, recorded as , , so as to obtain the corrected monitoring frequency of the monitoring and correction equipment , The value is or .

[0095] In a specific embodiment, The value is any real number greater than 1. For the convenience of analysis, for example, The value can be 2.

[0096] The embodiment of the present invention makes up for the current shortcomings in improving the timeliness of early warning by comparing electrical indicators and confirming the monitoring and correction equipment and the correction monitoring frequency of the monitoring and correction equipment with reference to electrical indicators, avoids overload of data processing terminals caused by fixed monitoring settings, and significantly reduces the impact on data processing speed and processing accuracy to a certain extent. At the same time, it also ensures the timeliness of data processing response, thereby ensuring the real-time response of the monitoring equipment's electricity safety early warning and the timeliness of the early warning decision, and also reduces the false alarm rate and safety risks of equipment early warnings, further improving the safety of equipment operation.

[0097] The information library is used to store reference change curves of various electrical parameters, power safety impact weights, set early warning trigger values ​​and set early warning trigger critical intervals, and store interference values ​​and interference critical intervals of various environmental parameters.

[0098] The monitoring and correction execution terminal is used to feed back the corrected monitoring frequency of the monitoring and correction device to the associated monitoring element of the monitoring and correction device to perform monitoring and correction of the frequency.

[0099] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An online monitoring system for safe electricity use of electrical automation equipment, characterized in that: The system includes: The production setting input module is used to record each production equipment in the current factory as each monitoring equipment, and input the operation content, operation log, initial monitoring frequency and related monitoring elements of each monitoring equipment; The equipment operation monitoring module is used to monitor the operation information of each monitoring device in real time through associated monitoring elements, including the values ​​of various electrical parameters and various environmental parameters; The electrical index setting module is used to analyze the electrical indexes of each monitoring device based on the operation information, and to set the reference electrical indexes of each monitoring device based on the operation content and operation log; A monitoring and correction analysis module is used to confirm the monitoring and correction equipment based on various electrical indicators and various reference electrical indicators, and at the same time confirm the correction monitoring frequency of the monitoring and correction equipment; An information library for storing reference change curves of various electrical parameters, power safety impact weights, setting early warning trigger values ​​and setting early warning trigger critical intervals, and storing interference values ​​and interference critical intervals of various environmental parameters; The monitoring correction execution terminal is used to feed back the corrected monitoring frequency of the monitoring correction device to the associated monitoring element of the monitoring correction device to correct the monitoring frequency; The analysis of the electrical indicators of each monitoring device includes: Set the electrical evaluation interference factor for each monitoring device , Indicates the monitoring device number. ; With time as the horizontal axis and the value of each electrical parameter as the vertical axis, the monitoring change curve of each electrical parameter is constructed. At the same time, the reference change curve of each electrical parameter is extracted from the information database, and the electrical change consistency of each monitoring device is analyzed, which is recorded as ; Filter out the maximum value of each electrical parameter corresponding to each monitoring device from the values ​​of each electrical parameter of each monitoring device monitored in real time as a reference value; Extracting the setting warning trigger value and setting warning trigger critical interval of each electrical parameter from the information database; An electrical parameter whose reference value is greater than or equal to its set warning trigger value is recorded as a warning electrical parameter, and an electrical parameter whose reference value is less than or equal to its set warning trigger value and the difference between the reference value and the warning trigger value is within the set warning trigger critical interval is recorded as a critical warning parameter; For each monitoring device, the number of its warning electrical parameters and the number of critical warning parameters are counted. If a monitoring device has at least one warning electrical parameter, the electrical state safety of the device is 0. Otherwise, the ratio of the number of critical warning parameters to the total number of electrical parameters is calculated and recorded as ; From the power safety impact weights of each electrical parameter in the information database, for all critical warning parameters, extract their power safety impact weights and sum them up, and record them as ; Will As the electrical status safety of the monitoring equipment , so as to obtain the electrical state safety of each monitoring device, which is recorded as , The value is 0 or ; The electrical change consistency and electrical state safety are used as electrical indicators of each monitoring device; The setting of reference electrical indicators of each monitoring device includes: Extract the job type, the number of operation items, the number of linkage control devices and the set operation duration of each operation item from the job content, and set the job control demand factor of each monitoring device, which is recorded as ; Extract the real-time monitoring operation information corresponding to each historical production day from the operation log, and set the electrical fluctuation correction factor of each monitoring device, which is recorded as ; Calculate the reference electrical state safety of each monitoring device , , The safety level of the set reference electrical state. and are the assessment weights at the operation level and electrical fluctuation level, ; according to The reference electrical change consistency of each monitoring device is calculated in the same way, and the reference electrical change consistency and the reference electrical state safety are respectively used as the reference electrical indicators of each monitoring device.

2. The online monitoring system for safe electricity use of electrical automation equipment according to claim 1, characterized in that: The electrical evaluation interference factor of each monitoring device is set, including: The values ​​of the environmental parameters monitored in real time are used to form a list of environmental parameters; Extract the interference value and interference critical interval of each environmental parameter from the information database; Traverse the value list of each environmental parameter to check whether it exceeds the interference value. If it exceeds, the interference factor of the environmental parameter is 1. If it does not exceed and the difference with the interference value is within the interference critical interval, perform a critical mark, and count the ratio of the number of critical marks to the number of values ​​in the value list as the interference factor of the environmental parameter, so as to obtain the interference factor of each environmental parameter corresponding to each monitoring device; The weight of each environmental parameter is set, and based on the interference factor of each monitoring device corresponding to each environmental parameter, the electrical evaluation interference factor of each monitoring device is calculated by weighted summation.

3. The online monitoring system for safe electricity use of electrical automation equipment according to claim 1, characterized in that: The analysis of the electrical change consistency of each monitoring device includes: The reference change curve of each electrical parameter is overlapped and compared with the corresponding monitoring change curve to obtain the overlap curve length, and the ratio of the overlap curve length to the length of the corresponding monitoring change curve is recorded as the overlap ratio; If the coincidence ratio of a certain electrical parameter is 1, the change consistency of the electrical parameter is recorded as 1, otherwise, the electrical parameter is recorded as a verification parameter; Divide the monitoring change curve of the verification parameter into two equal parts and mark the dividing point as the dividing point; Extract the length of the overlap curve between the reference change curve of the verification parameter and the monitoring change curve after the demarcation point, and compare it with the length of the overlap curve of the verification parameter. The ratio is taken as the rear-end overlap ratio and recorded as , and then As the change consistency of the verification parameter, the change consistency of each monitoring device corresponding to each electrical parameter is obtained, which is recorded as , The value is 1 or , Indicates Electrical parameters, ; The power safety impact weight of each electrical parameter is recorded as , calculate the electrical change consistency of each monitoring device , .

4. The online monitoring system for safe electricity use of electrical automation equipment according to claim 1, characterized in that: The step of setting the operation control demand factor of each monitoring device includes: The complexity factor of the operation type is processing , the complexity factor of the non-processing operation is recorded as , and then the operation complexity factor of each monitoring device is recorded as , The value is or , , ; The average number of linkage control devices set for each monitoring device corresponding to each operation item is calculated to obtain the average number of linkage control devices, which is recorded as , and at the same time, the setting operation time of each monitoring device corresponding to each operation item is summed up to obtain the total setting operation time of each monitoring device, which is recorded as ; The number of operation items of each monitoring device is recorded as , calculate the operation control demand factor of each monitoring device , , To set the reference task difficulty coefficient, is a natural constant.

5. The online monitoring system for safe electricity use of electrical automation equipment according to claim 1, characterized in that: The electrical fluctuation correction factor of each monitoring device is set, including: according to and The statistical method is similar to the statistical method to obtain the electrical change consistency and electrical state safety of each monitoring equipment on each historical production day; With the historical production day as the horizontal axis, and the electrical change consistency and electrical state safety as the vertical axis, the electrical change consistency curve and electrical state safety curve of each monitoring device are constructed; Extract the number of fluctuation points of the electrical change conformity curve and the electrical state safety curve, and record them as the number of electrical conformity fluctuations and the number of electrical safety fluctuations respectively; Calculate the ratios of the number of electrical matching fluctuations and the number of electrical safety fluctuations to the number of historical production days respectively, record the ratios as the electrical matching fluctuation ratio and the electrical safety fluctuation ratio respectively, and select the maximum value from them as the electrical fluctuation correction factor for each monitoring equipment.

6. The online monitoring system for safe electricity use of electrical automation equipment according to claim 1, characterized in that: The confirmation monitoring and correction equipment includes: Calculate the difference between each electrical index of each monitoring device and each reference electrical index to obtain the numerical difference of each electrical index corresponding to each monitoring device; Extract the operation control demand factor of each monitoring device, and take the numerical difference of the electrical index less than 0 as correction condition 1; The numerical differences of all electrical indicators are greater than or equal to 0, and the operation control demand factor of the monitoring equipment is less than the set reference operation control demand factor, as correction condition 2; The monitoring equipment that meets correction condition 1 or meets correction condition 2 is recorded as monitoring correction equipment.

7. The online monitoring system for safe electricity use of electrical automation equipment according to claim 6, characterized in that: The correction monitoring frequency of the confirmation monitoring and correction equipment includes: Set up monitoring and correction equipment to correct trends, including increases and decreases; The initial monitoring frequency of the monitoring and correction equipment is recorded as , the numerical differences of the monitoring and correction equipment corresponding to each electrical index are recorded as and ; If the correction trend is increasing, calculate the correction monitoring frequency of the monitoring correction equipment, recorded as , , To set a constant; If the correction trend is decreasing, calculate the correction monitoring frequency of the monitoring correction equipment, recorded as , , so as to obtain the corrected monitoring frequency of the monitoring and correction equipment , The value is or .

8. The online monitoring system for safe electricity use of electrical automation equipment according to claim 7, characterized in that: The configuration monitors the corrective trend of the corrective device, including: If the monitoring correction device meets the correction condition 1, it will be increased as its correction trend; If the monitoring correction device meets correction condition 2, it will be reduced as its correction trend.

Images