CN116413509B - Power monitoring and adjusting method for high-capacity cold box system - Google Patents
Power monitoring and adjusting method for high-capacity cold box system Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 63
- 238000012544 monitoring process Methods 0.000 title claims abstract description 41
- 238000005057 refrigeration Methods 0.000 claims abstract description 17
- 230000008569 process Effects 0.000 claims description 33
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- 230000008859 change Effects 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 6
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- 230000000087 stabilizing effect Effects 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 3
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- 230000002159 abnormal effect Effects 0.000 description 6
- 230000000694 effects Effects 0.000 description 6
- 238000012360 testing method Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 3
- 230000035945 sensitivity Effects 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
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- 238000004134 energy conservation Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
- F25D29/008—Alarm devices
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
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Abstract
The invention relates to the technical field of refrigeration equipment monitoring, and particularly discloses a power monitoring and adjusting method of a high-capacity cold box system, which comprises the following steps: s1, setting a power monitoring module for each cold box, and monitoring real-time power data of each cold box and real-time total power data of all cold boxes; s2, acquiring environment data, state data and bearing capacity data of each cold box, and predicting real-time power data of each cold box according to the environment data, the state data and the bearing capacity data to obtain predicted power data of each cold box; s3, respectively establishing a time-varying curve of the predicted power data and the real-time power data of each cold box, and carrying out early warning on the power state of the cold box system according to the difference value condition of the time-varying curve of the predicted power and the real-time power; and pre-warning the power state of the cold box system according to the real-time power data of each cold box and the real-time total power data of all the cold boxes.
Description
Technical Field
The invention relates to the technical field of refrigeration equipment monitoring, in particular to a power monitoring and adjusting method for a high-capacity cold box system.
Background
With the rapid development of technology, cost reduction, synergy and shortening of shipbuilding period have become primary targets of shipyards; the shipmen pay more attention to maintenance and overhaul, energy conservation and environmental protection, so that the energy conservation and low carbon environmental protection of the ship become important subjects for the research of shipbuilding and shipping industries in countries around the world, and the problems of fuel and cost conservation, environmental protection, economic benefit of ship operation and the like are related; the container ship cold box power distribution system is one of important research objects, the traditional cold box power distribution technology considers the factor of power balance, a single distribution box is designed to supply power to a plurality of cargo holds in a crossing mode to match the power balance of a power grid, and a cold box power monitoring system is required to be added to rate the energy efficiency level of the cold box along with the effect of IMO CII regulations.
In the prior art, the method for monitoring the power of the cold box mainly comprises the steps of judging the real-time power of the cold box and checking the state of the refrigerating effect periodically, and when the value of the real-time power obviously exceeds the early warning value, indicating that the power is abnormal; when the refrigeration effect state of the cold box checks abnormal, the state abnormality is also indicated.
In the existing power monitoring method, the method for judging the real-time power can only perform abnormal monitoring within a larger range, namely the monitoring sensitivity is poor; in the regular checking of the state of the refrigerating effect, although the abnormal state of the power is accurately judged according to the actual refrigerating effect, the checking process is complex and cannot be monitored in real time.
Disclosure of Invention
The invention aims to provide a power monitoring and adjusting method for a large-capacity cold box system, which solves the following technical problems:
how to monitor the power of the cold box system in real time and accurately.
The aim of the invention can be achieved by the following technical scheme:
a method of high capacity cold box system power monitoring and adjustment, the method comprising:
s1, setting a power monitoring module for each cold box, and monitoring real-time power data of each cold box and real-time total power data of all cold boxes;
s2, acquiring environment data, state data and bearing capacity data of each cold box, and predicting real-time power data of each cold box according to the environment data, the state data and the bearing capacity data to obtain predicted power data of each cold box;
s3, respectively establishing a time-varying curve of the predicted power data and the real-time power data of each cold box, and carrying out early warning on the power state of the cold box system according to the difference value condition of the time-varying curve of the predicted power and the real-time power; and comparing and analyzing the real-time power data of each cold box with the real-time total power data of all cold boxes, and pre-warning the power state of the cold box system according to the comparison and analysis result.
Further, the environmental data includes an ambient temperature and an ambient humidity;
the state data comprise the using time length of the cold box and the refrigeration check coefficient;
the bearing capacity data comprise the estimated cargo volume of the cold box;
the process for acquiring the estimated cargo volume of the cold box comprises the following steps:
a distance sensor is uniformly arranged above each cold box;
by the formulaCalculating to obtain the estimated cargo volume V of the cold box;
wherein n is the number of distance sensors, i.e. [1, n]；Is the detection value of the ith distance sensor; h is the height of the cold box; l is the arrangement interval of the distance sensors.
Further, the process of obtaining the predicted power data of the cold box comprises an adjusting section and a stabilizing section;
the process for obtaining the predicted power data under the stable segment comprises the following steps: by the formulaCalculating to obtain the predicted power value of the t time point under the stable segment；
wherein ,is a set temperature value;is a standard power value;as a function of volume influence;influencing a function for environmental data;,for the real-time ambient temperature,is the standard value of the ambient temperature;for the real-time ambient humidity,is the standard value of the environmental humidity;、fitting coefficients;for the purpose of the refrigeration check coefficient,for the time point of the refrigeration check,a real-time power value and sigma an attenuation coefficient;
obtaining predicted power values at successive time points of a stable segmentAs predicted power data.
Further, the process of obtaining the predicted power data under the regulation segment is as follows:
adjusting power according to preset adjustment strategies according to the estimated cargo volume change data and the set temperature value change data of the cold box to obtain predicted power data in the adjustment process;
the preset adjustment strategy is:
and adjusting the power according to linearity, wherein the adjustment quantity is a fixed value, so that the adjusted power meets the requirement of a set temperature value.
Further, by the formulaCalculating to obtain the predicted power value of the t time point under the adjusting section；
wherein ,is the starting point in time of the adjustment segment;to adjust the time interval;is a fixed compensation value;；in order to set the temperature after the adjustment,to adjust the pre-set temperature; delta V is the estimated cargo volume variation of the cold box;as a volume change affecting function;the power is preset unit power;
obtaining predicted power values of continuous time points of an adjustment segmentAs predicted power data.
Further, under the stable section, the process of early warning the power state of the cold box system comprises the following steps:
by the formulaCalculating to obtain risk coefficient under stable segment;
wherein ,the method comprises the steps of presetting a fixed time interval;、the weight coefficient is preset;
will beAnd a stable segment risk thresholdAnd (3) performing comparison:
if it is And early warning is carried out on the power state of the cold box.
Further, under the adjusting section, the process of early warning the power state of the cold box system comprises the following steps:
by the formulaCalculating to obtain risk coefficient under the regulation section；
wherein ,to adjust the actual end time point of the segment;predicting an ending time point for the adjustment segment;is a correction coefficient;as a function of the reference coefficients,> 1 andas an increasing function;
will beAnd adjusting segment risk thresholdAnd (3) performing comparison:
if it is≥And early warning is carried out on the power state of the cold box.
Further, the process of the comparison analysis includes:
by the formulaCalculating to obtain out-of-tolerance coefficient;
Wherein m is the number of cold boxes, j is E [1, m]；Real-time power of the j-th cold box;real-time total power for monitoring;a preset fixed period of time;、is a fixed coefficient, and+=1；the reference value is the out-of-tolerance reference value of the number of unit cold boxes;
for out-of-tolerance coefficientAnd (3) judging:
if it isAnd (3) carrying out early warning on the cold box power system if the power is more than 1.
The invention has the beneficial effects that:
according to the invention, the power monitoring module is arranged for each cold box, the real-time power data of each cold box is predicted based on the environment data, the state data and the bearing capacity data of each cold box, and the power abnormality state of the cold box can be accurately judged by comparing the predicted power data of each cold box with the real-time power data, and the judging result has higher sensitivity.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a flow chart of the steps of the method for monitoring and adjusting the power of the high-capacity cold box system.
Detailed Description
The following description of the embodiments of the present invention 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 invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, in one embodiment, a method for monitoring and adjusting power of a high capacity cold box system is provided, the method comprising:
s1, setting a power monitoring module for each cold box, and monitoring real-time power data of each cold box and real-time total power data of all cold boxes;
s2, acquiring environment data, state data and bearing capacity data of each cold box, and predicting real-time power data of each cold box according to the environment data, the state data and the bearing capacity data to obtain predicted power data of each cold box;
s3, respectively establishing a time-varying curve of the predicted power data and the real-time power data of each cold box, and carrying out early warning on the power state of the cold box system according to the difference value condition of the time-varying curve of the predicted power and the real-time power; and comparing and analyzing the real-time power data of each cold box with the real-time total power data of all cold boxes, and pre-warning the power state of the cold box system according to the comparison and analysis result.
According to the technical scheme, the power monitoring module is arranged for each cold box, the real-time power data of each cold box are predicted based on the environment data, the state data and the bearing capacity data of each cold box, the power abnormal state of the cold box can be accurately judged through comparison of the predicted power data and the real-time power data of each cold box, and the judging result has high sensitivity, specifically, the power state of the cold box system is early warned through the difference value condition of the predicted power change curve and the real-time power change curve along with time, so that the misjudgment problem caused by single data fluctuation can be avoided, and the robustness of the monitoring result is improved; meanwhile, the power state of the cold box system is pre-warned through the comparison and analysis of the real-time power data of each cold box and the real-time total power data of all the cold boxes, and the power abnormal state of the power system can be monitored and judged.
It should be noted that, in the above technical solution, the process of acquiring the environmental data and the power data is obtained based on the existing technical solution, which is not further described herein; in addition, the monitoring system of the embodiment is realized by monitoring the real-time temperature value versus power adjustment scheme based on the cold box.
As one embodiment of the present invention, the environmental data includes an environmental temperature and an environmental humidity;
the state data comprise the using time length of the cold box and the refrigeration check coefficient;
the bearing capacity data comprise the estimated cargo volume of the cold box;
the process for acquiring the estimated cargo volume of the cold box comprises the following steps:
a distance sensor is uniformly arranged above each cold box;
by the formulaCalculating to obtain the estimated cargo volume V of the cold box;
wherein n is the number of distance sensors, i.e. [1, n]；Is the detection value of the ith distance sensor; h is the height of the cold box; l is the arrangement interval of the distance sensors.
According to the technical scheme, the environmental data comprise the environmental temperature and the environmental humidity, and the temperature and the humidity state influence the refrigerating efficiency and the refrigerating power, so that the prediction result is corrected by collecting the environmental data, and the accuracy of the prediction result can be further improved; in addition, the state data of the cold box comprises the use time length of the cold box and a refrigeration check coefficient, wherein the refrigeration check coefficient is based on a regular refrigeration effect state check processThe accuracy of the prediction result is improved through the correction of the cold box state data to the prediction result; in addition, the embodiment also provides a method for acquiring the cargo capacity volume in the cold boxes, which is characterized in that a distance sensor is uniformly arranged above each cold box, and the distance sensor is formed by the formulaThe estimated cargo volume V of the cold box is obtained through calculation, and further the predicted power can be further adjusted according to the volume of the cargo volume in the cold box, so that the accuracy of comparison with the actual monitoring result is improved.
It should be noted that, the estimated cargo volume is a predicted value, and since the cargo volume has a low influence on the power, the influence of the difference between the estimated cargo volume and the actual cargo volume on the predicted result is negligible.
As one implementation mode of the invention, the process of obtaining the predicted power data of the cold box comprises an adjusting section and a stabilizing section;
the process for obtaining the predicted power data under the stable segment comprises the following steps:
by the formulaCalculating to obtain the predicted power value of the t time point under the stable segment；
wherein ,is a set temperature value;is a standard power value;as a function of volume influence;influencing a function for environmental data;,for the real-time ambient temperature,is the standard value of the ambient temperature;for the real-time ambient humidity,is the standard value of the environmental humidity;、fitting coefficients;for the purpose of the refrigeration check coefficient,for the time point of the refrigeration check,a real-time power value and sigma an attenuation coefficient; obtaining predicted power values at successive time points of a stable segmentAs predicted power data.
According to the technical scheme, the embodiment is divided into the adjusting section and the stabilizing section according to the state of the cold box, and under the stabilizing section, the rated standard power value of the cold box set value at the set temperature is obtained according to the set temperature value, and the data are obtained based on basic performance data of the cold box and are not described in detail herein; then by the volume-influencing factor of the loadFactors affecting environmentFactors influencing the life of the cooling boxCorrecting the standard power value to obtain a predicted power valueThe power state of the cold box in the environment state can be better reflected.
It should be noted that, in the above technical solution, the volume influence functionEnvironmental parameter impact functionFitting coefficients, all determined by empirical data fitting、The difference of the influence degree of the temperature state and the humidity state on the power is obtained through data fitting, therefore,the influence state of the environment state on the standard power can be reflected; in addition, in the case of the optical fiber,for the refrigeration check coefficient, it is obtained in the refrigeration check process, the attenuation coefficient sigma is obtained according to the influence state of the service life of the cold box on the power, in particular, it is obtained according to the fitting calculation of the measured data, therefore, the method is realized byThe influence state of the state factors of the cold box on the power can be judged.
As one embodiment of the present invention, the process of obtaining the predicted power data under the adjustment section is:
adjusting power according to preset adjustment strategies according to the estimated cargo volume change data and the set temperature value change data of the cold box to obtain predicted power data in the adjustment process;
the preset adjustment strategy is:
and adjusting the power according to linearity, wherein the adjustment quantity is a fixed value, so that the adjusted power meets the requirement of a set temperature value.
Through above-mentioned technical scheme, this embodiment is under the regulation section, and the power is adjusted after the volume of obtaining in the cold box changes promptly, makes the inside temperature of cold box reach the process of setting value, through adjusting the power according to the linearity, and the volume of adjusting is the fixed value for the power after adjusting satisfies the demand of settlement temperature value, through this kind of regulation mode, can avoid load and the potential safety hazard that the instantaneous electrical property parameter is great to cause, improves electric power system's safety.
It should be noted that the power adjustment process in the above technical solution is based on the prior art in the field of power control, and will not be further described herein.
As an embodiment of the present invention, the method is represented by the formulaCalculating to obtain the predicted power value of the t time point under the adjusting section；
wherein ,is the starting point in time of the adjustment segment;to adjust the time interval;is a fixed compensation value;；in order to set the temperature after the adjustment,to adjust the pre-set temperature; delta V is the estimated cargo volume variation of the cold box;as a volume change affecting function;the power is preset unit power;
obtaining predicted power values of continuous time points of an adjustment segmentAs predicted power data.
Through the technical scheme, the embodiment uses the preset adjusting strategyCalculating to obtain the predicted power value of the t time point under the adjusting section, wherein ,is the starting point in time of the adjustment segment;to adjust the time interval;is a fixed compensation value;thus by predicting the power valueThe calculation process of the power control system can acquire real-time prediction power data under the adjustment section.
In the above technical solution, the solid material isFixed compensation valueIn order to obtain the compensation amount according to the empirical data fitting, k is obtained according to the change data of the adjusting process, the total adjusting amount is obtained according to the difference value of the standard power corresponding to the set temperature and the difference value of the cargo volume, and the preset unit power is comparedFurther, a k value is obtained, wherein the volume change affects the functionFitting according to test data; preset unit powerThe settings are adaptively selected according to the performance parameters of the cold box and will not be described in detail herein.
As one embodiment of the present invention, the process of early warning the power state of the cold box system in the stable section includes:
by the formulaCalculating to obtain risk coefficient under stable segment;
wherein ,the method comprises the steps of presetting a fixed time interval;、the weight coefficient is preset;
will beAnd a stable segment risk thresholdAnd (3) performing comparison:
if it is And early warning is carried out on the power state of the cold box.
Through the technical scheme, the embodiment passes through the formula under the stable sectionCalculating to obtain risk coefficientWherein a fixed time interval is presetAccording to the empirical data setting, the method can also carry out adaptive adjustment according to the running state of the cold box; preset weight coefficient、Then fitting is obtained from the result accuracy based on the multiple sets of test data, and the risk factors thus obtainedThe real-time data and the historical data are integrated, so that the accuracy of judgment is improvedAnd a stable segment risk thresholdWhen compared, if And early warning is carried out on the power state of the cold box.
It should be noted that, in the above technical solution, the risk threshold of the stable segmentObtained according to the risk threshold value and the formulaTime-length correlation; in addition, since the power value is predictedOther factors with lower influence are not considered, so the actual powerWill be higher thanI.e. without presence of-A situation of < 0.
As one embodiment of the present invention, the process of early warning the power state of the cold box system under the regulation segment includes:
by the formulaCalculating to obtain risk coefficient under the regulation section；
wherein ,to adjust the actual end time point of the segment;predicting an ending time point for the adjustment segment;is a correction coefficient;as a function of the reference coefficients,> 1 andas an increasing function;
will beAnd adjusting segment risk thresholdAnd (3) performing comparison:
if it is≥And early warning is carried out on the power state of the cold box.
By the technical scheme, the embodiment provides the risk coefficient of the regulating sectionIs calculated and the segment risk threshold is adjustedCompared with the real-time monitoring process of the stable section, the comparison method has the advantages that the regulation section is judged after the whole regulation section is finished, the difference value between the regulated actual power and the predicted power is obtained by obtaining the time length of the regulation section, further, the judgment of the risk state is realized, and the correction coefficient in the formula is obtainedAccording toThe range is fitted and set according to empirical data, and the reference coefficient functionFitting different coefficients according to the influence degree of the actual power curve in the test data relative to the interval of the predicted power curve difference state, and judgingThe corresponding coefficient is obtained in the interval, and the process passes through the risk coefficientThe comprehensive power difference state, the time difference state and the overall out-of-tolerance state in the adjusting process are judgedAnd adjusting segment risk thresholdComparing, risk thresholdFitting settings based on test data, thus in≥And early warning is carried out on the power state of the cold box.
As one embodiment of the present invention, the process of the alignment analysis includes:
by the formulaCalculating to obtain out-of-tolerance coefficient;
Wherein m is the number of cold boxes, j is E [1, m]；Real-time power of the j-th cold box;real-time total power for monitoring;a preset fixed period of time;、is a fixed coefficient, and+=1；the reference value is the out-of-tolerance reference value of the number of unit cold boxes;
for out-of-tolerance coefficientAnd (3) judging:
if it isAnd (3) carrying out early warning on the cold box power system if the power is more than 1.
Through the technical scheme, the embodiment compares the monitored total power data with the data of the real-time power of each cold box, and analyzes the total power data, specifically, the total power data and the data of the real-time power of each cold box through a formulaObtaining out-of-tolerance coefficientWill beComparing and judging to determine whether to pre-warn the cold box power system, wherein the formula combines real-time dataHistorical mean value dataFixed coefficient、Presetting a fixed period of timeSelecting settings according to empirical data and satisfying+=1, andis a reference value of out-of-tolerance of the number of unit cold boxes, which is determined according to the error allowable value of the test data of the single cold box, thus whenAnd (3) carrying out early warning on the cold box power system if the power is more than 1.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (8)
1. A method for monitoring and adjusting power of a high-capacity cold box system, comprising:
s1, setting a power monitoring module for each cold box, and monitoring real-time power data of each cold box and real-time total power data of all cold boxes;
s2, acquiring environment data, state data and bearing capacity data of each cold box, and predicting real-time power data of each cold box according to the environment data, the state data and the bearing capacity data to obtain predicted power data of each cold box;
s3, respectively establishing a time-varying curve of the predicted power data and the real-time power data of each cold box, and carrying out early warning on the power state of the cold box system according to the difference value condition of the time-varying curve of the predicted power and the real-time power; and comparing and analyzing the real-time power data of each cold box with the real-time total power data of all cold boxes, and pre-warning the power state of the cold box system according to the comparison and analysis result.
2. The method for monitoring and adjusting the power of a high-capacity cold box system according to claim 1, wherein the environmental data comprises an environmental temperature and an environmental humidity;
the state data comprise the using time length of the cold box and the refrigeration check coefficient;
the bearing capacity data comprise the estimated cargo volume of the cold box;
the process for acquiring the estimated cargo volume of the cold box comprises the following steps:
a distance sensor is uniformly arranged above each cold box;
by the formulaCalculating to obtain the estimated cargo volume V of the cold box;
wherein n is the number of distance sensors, i.e. [1, n]；Is the detection value of the ith distance sensor; h is the height of the cold box; l is the arrangement interval of the distance sensors.
3. The method for monitoring and adjusting the power of a high-capacity cold box system according to claim 2, wherein the process of obtaining the predicted power data of the cold box comprises an adjusting section and a stabilizing section;
the process for obtaining the predicted power data under the stable segment comprises the following steps: by the formulaCalculating a predicted power value +.>；
wherein ,is a set temperature value;is a standard power value;as a function of volume influence;influencing a function for environmental data;,for the real-time ambient temperature,is the standard value of the ambient temperature;for the real-time ambient humidity,is the standard value of the environmental humidity;、fitting coefficients;for the purpose of the refrigeration check coefficient,for the time point of the refrigeration check,a real-time power value and sigma an attenuation coefficient;
obtaining predicted power values at successive time points of a stable segmentAs predicted power data.
4. A method for monitoring and adjusting power of a high-capacity cold box system according to claim 3, wherein the process of obtaining the predicted power data under the adjusting section is as follows:
adjusting power according to preset adjustment strategies according to the estimated cargo volume change data and the set temperature value change data of the cold box to obtain predicted power data in the adjustment process;
the preset adjustment strategy is:
and adjusting the power according to linearity, wherein the adjustment quantity is a fixed value, so that the adjusted power meets the requirement of a set temperature value.
5. The method for monitoring and adjusting the power of a high capacity cold box system according to claim 4, wherein the method is characterized by the formulaCalculating the predicted power value +.>；
wherein ,is the starting point in time of the adjustment segment; />To adjust the time interval; />Is a fixed compensation value;；/>to adjust the post-set temperature, < > for>To adjust the pre-set temperature; delta V is the estimated cargo volume variation of the cold box; />As a volume change affecting function; />The power is preset unit power;
obtaining predicted power values of continuous time points of an adjustment segmentAs predicted power data.
6. The method for monitoring and adjusting the power of a high-capacity cold box system according to claim 4, wherein the process of early warning the power state of the cold box system in the stable section comprises the following steps:
by the formulaCalculating to obtain risk coefficient under stable segment>;
wherein ,the method comprises the steps of presetting a fixed time interval; />、/>The weight coefficient is preset;
will beAnd the risk threshold of stable segments->And (3) performing comparison:
if it is And early warning is carried out on the power state of the cold box.
7. The method for monitoring and adjusting the power of a high-capacity cold box system according to claim 4, wherein the process of early warning the power state of the cold box system in the adjusting section comprises the following steps:
by the formulaCalculating to obtain risk coefficient under the regulation segment>；
wherein ,to adjust the actual end time point of the segment; />Predicting an ending time point for the adjustment segment; />Is a correction coefficient;as a function of the reference coefficients>> 1 and->As an increasing function;
will beAnd regulatory segment risk threshold->And (3) performing comparison:
if it is≥/>And early warning is carried out on the power state of the cold box.
8. The method for monitoring and adjusting the power of a high-capacity cold box system according to claim 4, wherein the process of comparing and analyzing comprises the following steps:
by the formulaCalculating to obtain out-of-tolerance coefficient;
Wherein m is the number of cold boxes, j is E [1, m]；Real-time power of the j-th cold box; />Real-time total power for monitoring; />For presetting a fixed period of time>、/>Is a fixed coefficient, and->+/>=1；/>The reference value is the out-of-tolerance reference value of the number of unit cold boxes;
for out-of-tolerance coefficientAnd (3) judging:
if it isAnd (3) carrying out early warning on the cold box power system if the power is more than 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310652037.1A CN116413509B (en) | 2023-06-05 | 2023-06-05 | Power monitoring and adjusting method for high-capacity cold box system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310652037.1A CN116413509B (en) | 2023-06-05 | 2023-06-05 | Power monitoring and adjusting method for high-capacity cold box system |
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| Publication Number | Publication Date |
|---|---|
| CN116413509A CN116413509A (en) | 2023-07-11 |
| CN116413509B true CN116413509B (en) | 2023-08-29 |
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