CN117092979A - Abnormal state monitoring method and system for ship desulfurization control system - Google Patents
Abnormal state monitoring method and system for ship desulfurization control system Download PDFInfo
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- 230000002159 abnormal effect Effects 0.000 title claims abstract description 91
- 238000006477 desulfuration reaction Methods 0.000 title claims abstract description 89
- 230000023556 desulfurization Effects 0.000 title claims abstract description 89
- 238000000034 method Methods 0.000 title claims abstract description 66
- 238000012544 monitoring process Methods 0.000 title claims abstract description 49
- 238000011156 evaluation Methods 0.000 claims abstract description 111
- 230000005856 abnormality Effects 0.000 claims abstract description 55
- 238000012545 processing Methods 0.000 claims abstract description 44
- 230000000694 effects Effects 0.000 claims abstract description 28
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- 230000009471 action Effects 0.000 claims description 158
- 230000004044 response Effects 0.000 claims description 77
- 238000002347 injection Methods 0.000 claims description 44
- 239000007924 injection Substances 0.000 claims description 44
- 239000003513 alkali Substances 0.000 claims description 24
- 238000010606 normalization Methods 0.000 claims description 8
- 238000005070 sampling Methods 0.000 claims description 3
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 description 22
- 238000006243 chemical reaction Methods 0.000 description 7
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- 239000002912 waste gas Substances 0.000 description 4
- MUBZPKHOEPUJKR-UHFFFAOYSA-N Oxalic acid Chemical compound OC(=O)C(O)=O MUBZPKHOEPUJKR-UHFFFAOYSA-N 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
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- 238000010586 diagram Methods 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 230000002378 acidificating effect Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
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- 230000003287 optical effect Effects 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 238000005507 spraying Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 239000012670 alkaline solution Substances 0.000 description 1
- 239000006227 byproduct Substances 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
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- 239000002283 diesel fuel Substances 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 239000000295 fuel oil Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The application discloses an abnormal state monitoring method and system of a ship desulfurization control system, and particularly relates to the technical field of equipment monitoring, wherein the abnormal state monitoring method and system comprises a data processing module, an information acquisition module, an abnormal evaluation module and a comprehensive judgment module, wherein the information acquisition module, the abnormal evaluation module and the comprehensive judgment module are in communication connection with the data processing module; the operation state of the control valve can be judged by comprehensively analyzing the execution information, the desulfurization process information and the electric power data information, calculating an abnormality early warning evaluation coefficient and comparing the abnormality early warning evaluation coefficient with an abnormality judgment threshold value. The state of the control valve can be rapidly judged, so that the safe and stable operation of the system is ensured; the number of the abnormal early warning signals is compared with the total number of the abnormal early warning evaluation coefficients in the monitoring set to obtain a comprehensive state value, and the desulfurization effect in the navigation can be judged by comparing the comprehensive state value with a comprehensive state threshold value. Thereby ensuring the stable operation of the system and the effective control of the environment.
Description
Technical Field
The application relates to the technical field of equipment monitoring, in particular to an abnormal state monitoring method and system of a ship desulfurization control system.
Background
The ship desulfurization control system is a control system for sulfur dioxide in ship exhaust gas. When a ship burns traditional heavy oil or diesel oil, waste gas containing a large amount of sulfur dioxide is generated, and the sulfur dioxide is harmful to the environment and human health, so that the sulfur dioxide emission of the ship is reduced, the requirement of environmental protection is met, and a desulfurization control system is required to be installed on the ship. The main function of the ship desulfurization control system is to reduce the sulfur dioxide content in the ship emission so as to meet the international and regional environmental regulations and standards; marine desulfurization control systems typically include a desulfurization unit, a reaction control system, an alkaline solution treatment system, and an emission monitoring system.
The desulfurization device is a core component of a ship desulfurization system and is used for removing sulfur dioxide from combustion waste gas; the reaction control system is used for monitoring and controlling the efficiency and performance of the desulfurization reaction, and automatically adjusting the injection quantity of alkali liquor and the reaction condition according to the sulfur dioxide concentration and other parameters in the waste gas so as to ensure the best desulfurization effect; the alkali liquor treatment system is responsible for supplying and treating alkali liquor for desulfurization; the emission monitoring system is used for monitoring sulfur dioxide content and other relevant parameters in ship emission. The existing ship desulfurization control system is usually used for monitoring key parameters such as sulfur dioxide concentration in exhaust gas, alkali liquor injection quantity, temperature, pressure and the like by using various sensors.
The control valve is typically part of a reaction control system. The control valve plays a role in adjusting the alkali liquor injection amount in the desulfurization process and is generally composed of a valve body, a valve seat, a valve core and an actuating mechanism. In the desulfurization process, waste gas reacts with alkali liquor, and the control valve can automatically adjust the injection quantity of the alkali liquor according to the feedback signal of the sensor so as to ensure the efficiency and performance of desulfurization reaction. However, the control valve is used as a component of the ship desulfurization control system, whether the control valve is abnormal or not cannot be known by the existing judgment on whether the ship desulfurization control system is abnormal or not, whether the control valve is abnormal or not is monitored in a relatively lacking manner, and the control valve cannot be maintained and replaced in time when the control valve is abnormal, so that the normal operation of the ship desulfurization control system is affected.
In order to solve the above problems, a technical solution is now provided.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present application provide a method and a system for monitoring abnormal states of a marine desulfurization control system, so as to solve the problems set forth in the background art.
In order to achieve the above purpose, the present application provides the following technical solutions:
the abnormal state monitoring method of the ship desulfurization control system comprises the following steps:
step S1: collecting execution information, wherein the execution information comprises action completion information and response information; calculating according to the action completion information to obtain an action deviation evaluation value; calculating response deviation rate according to the response information;
step S2: collecting desulfurization process information, and calculating to obtain a flow deviation ratio according to the desulfurization process information; collecting power data information, and calculating a power evaluation value according to the power data information;
step S3: the action deviation evaluation value, the response deviation rate, the flow deviation ratio and the power evaluation value are subjected to normalization processing to obtain an abnormal early warning evaluation coefficient; comparing the abnormal early warning evaluation coefficient with an abnormal judgment threshold value to generate an abnormal early warning signal and an operation normal signal;
step S4: according to the generated abnormal early warning signal and the normal operation signal; the control valve is evaluated for its overall abnormal condition over a period of time.
In a preferred embodiment, in step S1, the method for acquiring the operation deviation evaluation value includes:
after the control valve receives the action command, the control valve starts to execute the action to the time interval from the action completion, and the time interval from the action start to the action completion is marked as the action completion time; setting a preset action completion time, and calculating a deviation value of the action completion time corresponding to the action instruction and the preset action completion time;
marking the ratio of the deviation value of the action completion time corresponding to the action instruction and the preset action completion time to the preset action completion time as a single action deviation value;
the method comprises the steps of collecting single action deviation values corresponding to action instructions corresponding to real time and single action deviation values corresponding to a plurality of action instructions closest to the action instructions in real time, obtaining total numbers of the action instructions corresponding to real time and the action instructions closest to the action instructions in real time, and calculating action deviation evaluation values, wherein the expression is as follows:wherein Kj, fj i Each of Yjp is an operation deviation evaluation value, a single operation deviation value, and a preset operation completion time, i is a sequence number of the single operation deviation value, i=1, 2, 3, 4, & gt, n is a total number of operation instructions corresponding to real time and the operation instruction closest to real time, and n is a positive integer.
In a preferred embodiment, the response deviation rate is obtained by:
acquiring a time interval from the receiving of the action command to the starting of the action of the control valve, and marking the time interval from the receiving of the action command to the starting of the action of the control valve as control response time;
acquiring real-time control response time and a plurality of control response times closest to the real-time action instruction; setting a response time threshold;
acquiring control response time corresponding to the action instructions received by the n control valves, counting the number of the control response time being larger than a response time threshold and marked as A1, counting the number of the control response time being smaller than the response time threshold and marked as A2, and calculating a response deviation rate, wherein the expression is as follows: xp=a1/(a1+a2); XP is the response bias rate.
In a preferred embodiment, in step S2, the flow deviation ratio is obtained by:
acquiring actual injection flow and preset injection flow; calculating a deviation value of the actual injection flow and the preset injection flow; the flow deviation ratio is the ratio of the deviation value of the actual injection flow and the preset injection flow to the preset injection flow;
the actual injection flow is the flow of the alkali liquor which is actually injected after the n control valves receive the action command.
In a preferred embodiment, the power evaluation value obtaining method includes:
acquiring current and voltage data; calculating to obtain a real-time power value by using the acquired current and voltage data; collecting real-time power data of a time interval occupied by the action instructions received by the n control valves, and calculating an average value of the real-time power data: adding the real-time power values in the time interval occupied by the n control valves receiving the action instructions, and dividing the real-time power values by the sampling times of the real-time power values to obtain average power;
the rated power of the control valve is set, and the power evaluation value is the ratio of the average power to the rated power of the control valve.
In a preferred embodiment, in step S3, the execution information, the desulfurization process information, and the power data information are comprehensively analyzed to determine whether the control valve is abnormal, and the action deviation evaluation value, the response deviation rate, the flow deviation ratio, and the power evaluation value are normalized to obtain an abnormality early warning evaluation coefficient;
setting an abnormality judgment threshold, comparing the abnormality early warning evaluation coefficient with the abnormality judgment threshold, and judging the running state of the control valve: when the abnormality early warning evaluation coefficient is smaller than or equal to the abnormality judgment threshold value, generating an operation normal signal; and when the abnormality early warning evaluation coefficient is larger than the abnormality judgment threshold value, generating an abnormality early warning signal.
In a preferred embodiment, in step S4, a monitoring set is set, the number of abnormal early warning evaluation coefficients obtained in the monitoring set is marked as M, and the total number of generated normal operation signals and abnormal early warning signals is also marked as M;
acquiring the number of normal operation signals generated in a monitoring set, wherein the number of normal operation signals generated in the monitoring set is E, and calculating a comprehensive state value, the expression of the comprehensive state value is G= (M-E)/M, and G is the comprehensive state value;
setting a comprehensive state threshold; judging the desulfurization effect in the navigation at this time through the comparison of the comprehensive state value and the comprehensive state threshold value: when the comprehensive state value is larger than the comprehensive state threshold value, generating a desulfurization effect difference signal; and when the comprehensive state value is smaller than or equal to the comprehensive state threshold value, generating a normal signal of the desulfurization effect.
In a preferred embodiment, the abnormal state monitoring system of the ship desulfurization control system comprises a data processing module, an information acquisition module, an abnormal evaluation module and a comprehensive judgment module, wherein the information acquisition module, the abnormal evaluation module and the comprehensive judgment module are in communication connection with the data processing module;
the information acquisition module acquires execution information, wherein the execution information comprises action completion information and response information; the motion completion information is sent to a data processing module, and the data processing module calculates to obtain a motion deviation evaluation value; transmitting the response information to a data processing module, and calculating the response deviation rate by the data processing module;
the information acquisition module acquires desulfurization process information, the desulfurization process information is sent to the data processing module, and the data processing module calculates to obtain a flow deviation ratio; the information acquisition module acquires power data information, the power data information is sent to the data processing module, and the data processing module calculates to obtain a power evaluation value;
the action deviation evaluation value, the response deviation rate, the flow deviation ratio and the power evaluation value are subjected to normalization processing by a data processing module to obtain an abnormal early warning evaluation coefficient;
the abnormality evaluation module compares the abnormality early warning evaluation coefficient with an abnormality judgment threshold value to generate an abnormality early warning signal and an operation normal signal;
the comprehensive judgment module is used for judging whether the operation is normal or not according to the generated abnormal early warning signal and the generated normal operation signal; the control valve is evaluated for its overall abnormal condition over a period of time.
The abnormal state monitoring method and the abnormal state monitoring system for the ship desulfurization control system have the technical effects and advantages that:
1. by comprehensively analyzing the execution information, the desulfurization process information and the electric power data information, the operation state of the control valve can be reflected more comprehensively and accurately. By carrying out normalization processing on the action deviation evaluation value, the response deviation rate, the flow deviation ratio and the power evaluation value, parameters with different orders can be compared and weighted, and subsequent analysis and judgment can be carried out more easily; the operating state of the control valve can be judged by comparing the abnormality early warning evaluation coefficient with an abnormality judgment threshold. The state of the control valve can be rapidly judged, so that the safe and stable operation of the system is ensured.
2. And comparing the number of the abnormal early warning signals with the total number of the abnormal early warning evaluation coefficients in the monitoring set to obtain a comprehensive state value. The integrated state value can reflect the integrated operation state of the control valve in the whole navigation process, including the occurrence frequency and the influence degree of abnormal conditions. The desulfurization effect in this voyage can be judged by comparing the integrated state value with the integrated state threshold value. Thereby ensuring the stable operation of the system and the effective control of the environment.
Drawings
FIG. 1 is a schematic diagram of an abnormal state monitoring method of a marine desulfurization control system according to the present application;
FIG. 2 is a schematic diagram of an abnormal state monitoring system of the marine desulfurization control system according to the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
FIG. 1 shows an abnormal state monitoring method of the marine desulfurization control system of the present application, comprising the steps of:
step S1: collecting execution information, wherein the execution information comprises action completion information and response information; calculating according to the action completion information to obtain an action deviation evaluation value; and calculating a response deviation rate according to the response information.
Step S2: collecting desulfurization process information, and calculating to obtain a flow deviation ratio according to the desulfurization process information; and collecting power data information, and calculating a power evaluation value according to the power data information.
Step S3: the action deviation evaluation value, the response deviation rate, the flow deviation ratio and the power evaluation value are subjected to normalization processing to obtain an abnormal early warning evaluation coefficient; and comparing the abnormal early warning evaluation coefficient with an abnormal judgment threshold value to generate an abnormal early warning signal and an operating normal signal.
Step S4: according to the generated abnormal early warning signal and the normal operation signal; the control valve is evaluated for its overall abnormal condition over a period of time.
In step S1, the method for acquiring the motion deviation evaluation value includes:
after the control valve receives the action command, the control valve starts to execute the action until the action is completed, and the time interval from the start of executing the action to the completion of the action is marked as the action completion time. Setting a preset action completion time, and calculating a deviation value of the action completion time corresponding to the action instruction and the preset action completion time; the larger the deviation value between the action completion time corresponding to the action instruction and the preset action completion time is, the larger the deviation between the action completion time corresponding to the action instruction and the ideal action completion time is. The action completion time being longer than the preset action completion time may cause execution delay, affecting the response speed and efficiency of the system. This may indicate that the control valve has problems in performing the action, such as slow execution, high resistance, or other malfunctions. An action completion time less than the preset action completion time may result in an early completion of the action, which may also mean that the control valve is problematic, such as too fast execution, too little resistance, or other failure.
And marking the ratio of the deviation value of the action completion time corresponding to the action instruction and the preset action completion time to the preset action completion time as a single action deviation value. The larger the single action deviation value is, the less ideal action completion time corresponding to the action instruction is indicated, and the control valve has adverse effect on the accuracy of alkali liquor injection quantity.
The single action command does have adverse effect on the accuracy of the alkali liquor injection quantity by the control valve, but the occasional influencing factors cannot represent the control valve to have larger problems, so that the single action deviation value corresponding to the action command corresponding to the real time and the single action deviation values corresponding to a plurality of action commands closest to the action command in the real time are acquired, the total number of the action commands corresponding to the real time and the action commands closest to the real time are acquired, and the action deviation evaluation value is calculated, wherein the expression is as follows:wherein Kj, fj i Each of Yjp is an operation deviation evaluation value, a single operation deviation value, and a preset operation completion time, i is a sequence number of the single operation deviation value, i=1, 2, 3, 4, & gt, n is a total number of operation instructions corresponding to real time and the operation instruction closest to real time, and n is a positive integer.
The action deviation evaluation value can reflect the action completion condition of the control valve after an action command is sent in a period of time, and the larger the action deviation evaluation value is, the more the action completion time of the control valve deviates from the ideal action completion time, so that the alkali liquor injection quantity is possibly not matched with the preset requirement. If the action deviation evaluation value is large, the action completion time of the control valve deviates from the ideal time more, which can lead to instability and inaccuracy of the alkali liquor injection quantity and influence the desulfurization effect.
The preset action completion time is set according to action instructions and other actual conditions such as a requirement standard for the action of the control valve in practice; the preset action completion time corresponding to different action instructions is different because the tasks of the action instructions are different, and the actions sent by the control valve are different.
The response deviation rate obtaining method comprises the following steps:
acquiring a time interval from the receiving of the action command to the starting of the action of the control valve, wherein the time interval from the receiving of the action command to the starting of the action of the control valve reflects the response speed of the control valve to the action command; the time interval from the receipt of an actuation command by the control valve to the initiation of actuation of the control valve is marked as a control response time.
When the control valve receives the action instruction, if a longer execution delay exists, the adjustment of the alkali liquor injection quantity can be delayed, which possibly causes the system response to be slow, the requirement on the alkali liquor injection quantity in the desulfurization process can not be met in time, and the desulfurization effect and stability are affected.
The real-time control response time and the control response times closest to the real-time motion command are obtained. And setting a response time threshold, and when the control response time is larger than the response time threshold, indicating that the control valve has higher delay after receiving the action command.
Acquiring control response time corresponding to the action instructions received by the n control valves, counting the number of the control response time being larger than a response time threshold and marked as A1, counting the number of the control response time being smaller than the response time threshold and marked as A2, and calculating a response deviation rate, wherein the expression is as follows: xp=a1/(a1+a2); XP is the response deviation rate, and the larger the response deviation rate is, the more serious the delay condition of the control valve is.
The response time threshold is set according to a response delay requirement of the control valve in practice, for example, the ship desulfurization control system requires that the control valve starts to execute the action within 100 milliseconds after receiving the action command. In this case, 100 milliseconds may be used as the response time threshold.
In step S2, the flow deviation ratio is used for evaluating the accuracy of the control valve in adjusting the alkali liquor injection amount during desulfurization. The flow deviation ratio obtaining method comprises the following steps:
first, data of an actual injection flow rate and a preset injection flow rate are acquired. The actual injection flow can be measured by a flow sensor or an instrument, and the preset injection flow is set according to the alkali liquor injection quantity set by the desulfurization control system in practice.
When the control valve causes too much or too little alkali liquor injection amount, adverse effects can be generated on the ship desulfurization process:
the alkali liquor injection quantity is too large: too much alkali liquor injection may result in too acidic conditions, exceeding the chemical reaction conditions required for the desulfurization process, thereby reducing desulfurization efficiency. Excessive lye consumes a large amount of oxalic acid or seawater and increases the cost of waste liquid treatment. Excessive lye may also cause the emission of alkaline substances remaining in the waste liquor to exceed regulatory limits, violating environmental regulations.
The spraying amount of alkali liquor is too small: too little alkali liquor spraying may result in incomplete removal of sulfur dioxide from the exhaust gas, resulting in an exhaust gas with too high a sulfur dioxide concentration, which violates emission standards. Too little lye can reduce desulfurization efficiency and fail to meet the expected emission requirements. Too little lye may also cause gaseous acidic substances in the exhaust gases to exceed the limit value, causing corrosion to the environment and equipment.
And calculating a deviation value of the actual injection flow and the preset injection flow. The flow deviation ratio is the ratio of the deviation value of the actual injection flow and the preset injection flow to the preset injection flow.
The actual injection flow is the flow of the alkali liquor which is actually injected after the n control valves receive the action command.
The smaller the flow deviation ratio is, the smaller the difference between the actual injection flow and the preset injection flow is, which indicates that the control valve has higher accuracy in adjusting the alkali liquor injection quantity. If the flow deviation is relatively large, exceeding the preset threshold range may mean that there is an abnormality in the control valve, requiring further inspection and adjustment.
The power estimate is used to reflect the amount of power consumed by the control valve during operation. The control valves are typically driven by an electric motor or electro-hydraulic servo system, which consumes electrical power to operate. By monitoring the electric power data of the control valve, an estimated value of the electric power of the control valve can be calculated. The power evaluation value acquisition method comprises the following steps:
acquiring current and voltage data: and collecting current and voltage data of a motor or an electrohydraulic servo system connected with the control valve through a sensor or an instrument.
Calculating real-time power: using the acquired current and voltage data, a real-time power value can be obtained by product calculation. The calculation formula of the power (P) is: p=u×i, where U represents voltage and I represents current.
Average power calculation: in order to obtain more accurate and comprehensive analysis of the power of the control valves, collecting real-time power data of time intervals occupied by the n control valves receiving the action instructions, and calculating an average value of the real-time power data: and adding the real-time power values in the time interval occupied by the n control valves receiving the action instructions, and dividing the real-time power values by the sampling times of the real-time power values to obtain average power.
Setting rated power of the control valve according to the model of the control valve and factory parameter data.
The average power is compared with the rated power of the control valve to determine whether the power consumption of the control valve is normal or out of an expected range. If the average power of the control valve is greater than the rated power of the control valve, this may indicate that the power consumed by the control valve during normal operation exceeds its design capacity, the control valve may be subject to excessive workload, beyond its design capacity, the control valve itself may have problems or malfunctions, resulting in an abnormally increased power consumption. Possible problems include valve blockage, seal failure, internal component damage, etc., which can cause the control valve to not properly regulate fluid and increase power consumption. If the average power of the control valve is less than the rated power of the control valve, this may indicate that the power consumption of the control valve during normal operation is less than its design capacity, the control valve may be in a lower load condition, and the control valve has a higher efficiency.
The power evaluation value is the ratio of the average power to the rated power of the control valve, and the larger the power evaluation value is, the higher the power consumption of the control valve in actual operation is, and the rated power of the control valve is exceeded.
In step S3, the execution information, the desulfurization process information, and the power data information are comprehensively analyzed to determine whether the control valve is abnormal, and the action deviation evaluation value, the response deviation rate, the flow deviation ratio, and the power evaluation value are normalized to obtain an abnormality early warning evaluation coefficient.
For example, the application can calculate the abnormality early warning evaluation coefficient by adopting the following formula:wherein NP, XP, lp, gp is an abnormality early warning evaluation coefficient, a response deviation rate, a flow deviation ratio and a power evaluation value, alpha 1 、α 2 、α 3 、α 4 The preset proportional coefficients of the action deviation evaluation value, the response deviation rate, the flow deviation ratio and the power evaluation value are respectively calculated, and in order to better carry out subsequent analysis according to the magnitude of the abnormal early warning evaluation coefficient, alpha 1 、α 2 、α 3 、α 4 All are larger than 0, namely, the larger the abnormality early warning evaluation coefficient is, the worse the running state of the control valve is, the more abnormality is easy to occur.
The abnormality judgment threshold is set according to the magnitude of the abnormality early warning evaluation coefficient, and the actual conditions such as the safety requirement standard and the application scene of the control valve are set by a person skilled in the art according to the actual situation, and the details are not repeated here.
And comparing the abnormal early warning evaluation coefficient with an abnormal judgment threshold value to judge the running state of the control valve.
And when the abnormality early warning evaluation coefficient is smaller than or equal to the abnormality judgment threshold value, generating an operation normal signal. And when the abnormality early warning evaluation coefficient is larger than the abnormality judgment threshold value, generating an abnormality early warning signal.
When a normal operation signal is generated, the comprehensive operation performance of the control valve is better, the operation is normal, and no measures are required; when an abnormal early warning signal is generated, the comprehensive operation performance of the control valve is poor, and abnormal performance exists, and the monitoring of the control valve is enhanced.
n is not excessively large, and is usually 10 or less.
Step S3, by comprehensively analyzing the execution information, the desulfurization process information and the electric power data information, taking the action deviation evaluation value, the response deviation rate, the flow deviation ratio and the power evaluation value into consideration. Such comprehensive analysis may provide more comprehensive information that more accurately reflects the operating state of the control valve. By carrying out normalization processing on the action deviation evaluation value, the response deviation rate, the flow deviation ratio and the power evaluation value, the method has the advantages that parameters of different orders can be compared and weighted, and subsequent analysis and judgment are easier to carry out; the operating state of the control valve can be judged by comparing the abnormality early warning evaluation coefficient with an abnormality judgment threshold. And when the abnormality early warning evaluation coefficient is larger than the abnormality judgment threshold value, generating an abnormality early warning signal to indicate that the control valve has abnormality. Therefore, the state of the control valve can be rapidly judged, and the safe and stable operation of the system is ensured.
In step S4, the influence of the occurrence of the abnormal pre-warning signal on the desulfurization effect of the entire navigation process is small.
Setting a monitoring set, wherein the monitoring set is a signal generated after all abnormal early warning evaluation coefficients monitored during one-time marine navigation of the ship are compared with an abnormal judgment threshold value, the acquisition frequency of the abnormal early warning evaluation coefficients is set according to specific detection requirements, the number of the abnormal early warning evaluation coefficients acquired in the monitoring set is marked as M, and the total number of the generated normal operation signals and the abnormal early warning signals is also M.
The method comprises the steps of obtaining the number of normal operation signals generated in a monitoring set, calculating a comprehensive state value, wherein the number of normal operation signals generated in the monitoring set is E, the expression of the comprehensive state value is G= (M-E)/M, G is the comprehensive state value, and the larger the comprehensive state value is, the poorer the comprehensive operation state of a control valve for one-time marine navigation is, and the poorer the desulfurization effect in the current navigation is.
The comprehensive state threshold is set according to the magnitude of the comprehensive state value and the safety standard of the control valve in practice, and will not be described herein. Judging the desulfurization effect in the navigation at this time through the comparison of the comprehensive state value and the comprehensive state threshold value: when the comprehensive state value is larger than the comprehensive state threshold value, generating a desulfurization effect difference signal; and when the comprehensive state value is smaller than or equal to the comprehensive state threshold value, generating a normal signal of the desulfurization effect.
When the signal with poor desulfurization effect is generated, the control valve is abnormal for too many times in the navigation, which has great adverse effect on the actual effect of the desulfurization process, influences the comprehensive performance of the whole desulfurization control system, causes environmental pollution, and needs to be checked and maintained after the navigation is finished, so that the control valve is maintained or replaced.
When a normal signal of desulfurization effect is generated, the abnormal occurrence of the control valve is in an acceptable range in the navigation at this time, and no measures are required.
And comparing the number of the abnormal early warning signals with the total number of the abnormal early warning evaluation coefficients in the monitoring set to obtain a comprehensive state value. The integrated state value can reflect the integrated operation state of the control valve in the whole navigation process, including the occurrence frequency and the influence degree of abnormal conditions. The desulfurization effect in this voyage can be judged by comparing the integrated state value with the integrated state threshold value. When the desulfurization effect poor signal is generated, it is necessary to inspect and repair the entire desulfurization control system after the end of the voyage, including repair or replacement of the control valve. Provides guidance and judgment basis for the performance and effect of the ship desulfurization control system. The method can help to find out the abnormal condition of the control valve in time and judge whether the desulfurization effect is good or not according to the comprehensive state value, thereby ensuring the stable operation of the system and the effective control of the environment.
Example 2
Embodiment 2 of the present application differs from embodiment 1 in that this embodiment is described with respect to an abnormal state monitoring system of a marine desulfurization control system.
FIG. 2 shows a schematic structural diagram of an abnormal state monitoring system of the ship desulfurization control system, which comprises a data processing module, an information acquisition module, an abnormal evaluation module and a comprehensive judgment module, wherein the information acquisition module, the abnormal evaluation module and the comprehensive judgment module are in communication connection with the data processing module.
The information acquisition module acquires execution information, wherein the execution information comprises action completion information and response information; the motion completion information is sent to a data processing module, and the data processing module calculates to obtain a motion deviation evaluation value; and sending the response information to a data processing module, and calculating the response deviation rate by the data processing module.
The information acquisition module acquires desulfurization process information, the desulfurization process information is sent to the data processing module, and the data processing module calculates to obtain a flow deviation ratio; the information acquisition module acquires power data information, the power data information is sent to the data processing module, and the data processing module calculates to obtain a power evaluation value.
And carrying out normalization processing on the action deviation evaluation value, the response deviation rate, the flow deviation ratio and the power evaluation value by a data processing module to obtain an abnormal early warning evaluation coefficient.
The abnormality evaluation module compares the abnormality early warning evaluation coefficient with an abnormality judgment threshold value to generate an abnormality early warning signal and an operation normal signal.
The comprehensive judgment module is used for judging whether the operation is normal or not according to the generated abnormal early warning signal and the generated normal operation signal; the control valve is evaluated for its overall abnormal condition over a period of time.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and module may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, may be located in one place, or may be distributed over multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the application are intended to be included within the scope of the application.
Claims (8)
1. The abnormal state monitoring method of the ship desulfurization control system is characterized by comprising the following steps of:
step S1: collecting execution information, wherein the execution information comprises action completion information and response information; calculating according to the action completion information to obtain an action deviation evaluation value; calculating response deviation rate according to the response information;
step S2: collecting desulfurization process information, and calculating to obtain a flow deviation ratio according to the desulfurization process information; collecting power data information, and calculating a power evaluation value according to the power data information;
step S3: the action deviation evaluation value, the response deviation rate, the flow deviation ratio and the power evaluation value are subjected to normalization processing to obtain an abnormal early warning evaluation coefficient; comparing the abnormal early warning evaluation coefficient with an abnormal judgment threshold value to generate an abnormal early warning signal and an operation normal signal;
step S4: according to the generated abnormal early warning signal and the normal operation signal; the control valve is evaluated for its overall abnormal condition over a period of time.
2. The abnormal state monitoring method of a marine desulfurization control system according to claim 1, characterized by: in step S1, the method for acquiring the motion deviation evaluation value includes:
after the control valve receives the action command, the control valve starts to execute the action to the time interval from the action completion, and the time interval from the action start to the action completion is marked as the action completion time; setting a preset action completion time, and calculating a deviation value of the action completion time corresponding to the action instruction and the preset action completion time;
marking the ratio of the deviation value of the action completion time corresponding to the action instruction and the preset action completion time to the preset action completion time as a single action deviation value;
the method comprises the steps of collecting single action deviation values corresponding to action instructions corresponding to real time and single action deviation values corresponding to a plurality of action instructions closest to the action instructions in real time, obtaining total numbers of the action instructions corresponding to real time and the action instructions closest to the action instructions in real time, and calculating action deviation evaluation values, wherein the expression is as follows:wherein Kj, fj i Each of Yjp is an operation deviation evaluation value, a single operation deviation value, and a preset operation completion time, i is a sequence number of the single operation deviation value, i=1, 2, 3, 4, & gt, n is a total number of operation instructions corresponding to real time and the operation instruction closest to real time, and n is a positive integer.
3. The abnormal state monitoring method of a marine desulfurization control system according to claim 1, characterized by: the response deviation rate obtaining method comprises the following steps:
acquiring a time interval from the receiving of the action command to the starting of the action of the control valve, and marking the time interval from the receiving of the action command to the starting of the action of the control valve as control response time;
acquiring real-time control response time and a plurality of control response times closest to the real-time action instruction; setting a response time threshold;
acquiring control response time corresponding to the action instructions received by the n control valves, counting the number of the control response time being larger than a response time threshold and marked as A1, counting the number of the control response time being smaller than the response time threshold and marked as A2, and calculating a response deviation rate, wherein the expression is as follows: xp=a1/(a1+a2); XP is the response bias rate.
4. The abnormal state monitoring method of a marine desulfurization control system according to claim 1, characterized by: in step S2, the flow deviation ratio obtaining method includes:
acquiring actual injection flow and preset injection flow; calculating a deviation value of the actual injection flow and the preset injection flow; the flow deviation ratio is the ratio of the deviation value of the actual injection flow and the preset injection flow to the preset injection flow;
the actual injection flow is the flow of the alkali liquor which is actually injected after the n control valves receive the action command.
5. The abnormal state monitoring method of a marine desulfurization control system according to claim 1, characterized by: the power evaluation value acquisition method comprises the following steps:
acquiring current and voltage data; calculating to obtain a real-time power value by using the acquired current and voltage data; collecting real-time power data of a time interval occupied by the action instructions received by the n control valves, and calculating an average value of the real-time power data: adding the real-time power values in the time interval occupied by the n control valves receiving the action instructions, and dividing the real-time power values by the sampling times of the real-time power values to obtain average power;
the rated power of the control valve is set, and the power evaluation value is the ratio of the average power to the rated power of the control valve.
6. The abnormal state monitoring method of a marine desulfurization control system according to claim 1, characterized by: in step S3, the execution information, the desulfurization process information and the power data information are comprehensively analyzed to determine whether the control valve is abnormal, and the action deviation evaluation value, the response deviation rate, the flow deviation ratio and the power evaluation value are normalized to obtain an abnormal early warning evaluation coefficient;
setting an abnormality judgment threshold, comparing the abnormality early warning evaluation coefficient with the abnormality judgment threshold, and judging the running state of the control valve: when the abnormality early warning evaluation coefficient is smaller than or equal to the abnormality judgment threshold value, generating an operation normal signal; and when the abnormality early warning evaluation coefficient is larger than the abnormality judgment threshold value, generating an abnormality early warning signal.
7. The abnormal state monitoring method of a marine desulfurization control system according to claim 6, characterized by: in step S4, a monitoring set is set, the number of the abnormal early warning evaluation coefficients obtained in the monitoring set is marked as M, and the total number of the generated normal operation signals and the total number of the abnormal early warning signals are also marked as M;
acquiring the number of normal operation signals generated in a monitoring set, wherein the number of normal operation signals generated in the monitoring set is E, and calculating a comprehensive state value, the expression of the comprehensive state value is G= (M-E)/M, and G is the comprehensive state value;
setting a comprehensive state threshold; judging the desulfurization effect in the navigation at this time through the comparison of the comprehensive state value and the comprehensive state threshold value: when the comprehensive state value is larger than the comprehensive state threshold value, generating a desulfurization effect difference signal; and when the comprehensive state value is smaller than or equal to the comprehensive state threshold value, generating a normal signal of the desulfurization effect.
8. An abnormal state monitoring system of a ship desulfurization control system for implementing the abnormal state monitoring method of a ship desulfurization control system according to any one of claims 1 to 7, characterized in that: the system comprises a data processing module, an information acquisition module, an abnormality evaluation module and a comprehensive judgment module, wherein the information acquisition module, the abnormality evaluation module and the comprehensive judgment module are in communication connection with the data processing module;
the information acquisition module acquires execution information, wherein the execution information comprises action completion information and response information; the motion completion information is sent to a data processing module, and the data processing module calculates to obtain a motion deviation evaluation value; transmitting the response information to a data processing module, and calculating the response deviation rate by the data processing module;
the information acquisition module acquires desulfurization process information, the desulfurization process information is sent to the data processing module, and the data processing module calculates to obtain a flow deviation ratio; the information acquisition module acquires power data information, the power data information is sent to the data processing module, and the data processing module calculates to obtain a power evaluation value;
the action deviation evaluation value, the response deviation rate, the flow deviation ratio and the power evaluation value are subjected to normalization processing by a data processing module to obtain an abnormal early warning evaluation coefficient;
the abnormality evaluation module compares the abnormality early warning evaluation coefficient with an abnormality judgment threshold value to generate an abnormality early warning signal and an operation normal signal;
the comprehensive judgment module is used for judging whether the operation is normal or not according to the generated abnormal early warning signal and the generated normal operation signal; the control valve is evaluated for its overall abnormal condition over a period of time.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117291582A (en) * | 2023-11-27 | 2023-12-26 | 合肥宝康自动化系统有限公司 | Industrial production interconnection monitoring system based on data analysis |
| CN117318843A (en) * | 2023-11-29 | 2023-12-29 | 安徽斯派迪电气技术有限公司 | 5G communication-based power equipment safety monitoring method |
| CN117709754A (en) * | 2024-01-29 | 2024-03-15 | 南京华控创为信息技术有限公司 | Data processing control method and system for hydraulic engineering |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117291582A (en) * | 2023-11-27 | 2023-12-26 | 合肥宝康自动化系统有限公司 | Industrial production interconnection monitoring system based on data analysis |
| CN117291582B (en) * | 2023-11-27 | 2024-03-29 | 合肥宝康自动化系统有限公司 | Industrial production interconnection monitoring system based on data analysis |
| CN117318843A (en) * | 2023-11-29 | 2023-12-29 | 安徽斯派迪电气技术有限公司 | 5G communication-based power equipment safety monitoring method |
| CN117318843B (en) * | 2023-11-29 | 2024-03-12 | 安徽斯派迪电气技术有限公司 | 5G communication-based power equipment safety monitoring method |
| CN117709754A (en) * | 2024-01-29 | 2024-03-15 | 南京华控创为信息技术有限公司 | Data processing control method and system for hydraulic engineering |
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