A method of noise control for a gas power plant

Abstract

The present application relates to the technical field of power plant noise reduction, and particularly relates to a gas power plant noise control method, comprising: determining a region division mode according to a noise distribution coefficient and a noise threshold value; determining a to-be-analyzed power plant category according to a sound source difference degree and an effective division region proportion; determining a power plant selection mode according to a power plant similarity degree and a difficulty threshold value, wherein the power plant selection mode is to determine an optimization mode according to an estimated noise difference degree and a proportion of a category of to-be-analyzed power plants, or to select a monitoring power plant according to an associated power plant cluster; determining a noise prevention and control method according to a noise elimination reference mean value of the monitoring power plant, wherein the noise prevention and control method is to determine a number of noise eliminators according to a prevention and control coefficient extreme value, or to determine a noise elimination optimization mode according to a regional noise elimination difference degree and a regional prevention and control extreme value of a characteristic monitoring power plant; and the present application can improve the noise prevention and control effect of a to-be-built gas power plant.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of power plant noise reduction technology, in particular to a gas power plant noise control method. BACKGROUND

[0002] With the advancement of urbanization in China, the construction of gas power plants is increasingly close to urban residential areas, making noise control in power plant design and construction increasingly important. However, when constructing a gas power plant, noise control is often based on the actual layout of the power plant, which cannot flexibly respond to various noise sources and noise propagation characteristics, resulting in a lack of adaptability in noise control methods and often failing to achieve the expected noise reduction effect. Therefore, how to choose the appropriate noise reduction scheme to improve the noise control effect of the to-be-built gas power plant is a technical problem that needs to be solved by those skilled in the art.

[0003] Chinese patent publication No. CN117933064A discloses a centralized control room floor noise control optimization method, device and computer equipment. The method includes: constructing an initial centralized control room floor plan model of a target power plant according to power plant layout feature information, fire protection specification information and production process information of the target power plant; inputting the initial centralized control room floor plan model into the corresponding building simulation model of the target power plant to obtain the room indoor sound pressure level and room reverberation time of each target room in the centralized control room floor plan model; adjusting the initial centralized control room floor plan model until the room indoor sound pressure level and the room reverberation time meet the preset values in the case that the room indoor sound pressure level and / or the room reverberation time do not meet the preset values, to obtain a target centralized control room floor plan model; and the target centralized control room floor plan model is used to guide the construction of the centralized control room floor of the target power plant. It can be seen that the above technical solution has the following problems: noise control is only based on the layout of the power plant building, and cannot adapt to the noise control method according to the actual noise characteristics, resulting in poor noise reduction effect. SUMMARY

[0004] Therefore, the present application provides a gas power plant noise control method to overcome the problem in the prior art that noise control is only based on the layout of the power plant building, and cannot adapt to the noise control method according to the actual noise characteristics, resulting in poor noise reduction effect.

[0005] To achieve the above-mentioned purpose, the present application provides a gas power plant noise control method, comprising:

[0006] determining the region division mode according to the noise distribution coefficient and the noise threshold value, the region division mode being associated radiation region division or single radiation region division;

[0007] According to the redundancy coefficient and the regional noise value, an effective division region is selected, according to the sound source influence coefficient corresponding to each effective division region, the sound source difference degree is determined, and according to the sound source difference degree and the proportion of the effective division region, the type of the power plant to be analyzed is determined;

[0008] According to the power plant similarity and the difficulty threshold, the power plant selection mode is determined, the power plant selection mode is to determine the optimization mode according to the estimated noise difference degree and the proportion of the type of the power plant to be analyzed, or to select the monitoring power plant according to the associated power plant cluster;

[0009] The optimization mode is to select the monitoring power plant according to the gas equipment difference degree or according to the comprehensive evaluation value;

[0010] According to the noise reduction reference mean value of the monitoring power plant, the noise prevention method is determined, the noise prevention method is to determine the number of silencers according to the prevention coefficient extreme value, or to determine the silencer optimization mode according to the regional noise reduction difference degree and the regional prevention extreme value of the characteristic monitoring power plant;

[0011] The silencer optimization mode is to determine the number of silencers of the target power plant according to the regional prevention coefficient of the characteristic region or to adjust the number of silencers of the target power plant according to the sub-silencer threshold value;

[0012] The regional prevention coefficient is determined according to the obstacle influence coefficient and the associated noise reduction ratio or according to the associated noise reduction ratio.

[0013] Further, according to the noise distribution coefficient and the noise threshold, the region division mode is determined;

[0014] If the noise distribution coefficient is less than the preset noise distribution coefficient or the noise threshold is less than the preset noise threshold, the region division mode is the associated radiation region division, and in the associated radiation region division, the smallest rectangle containing the radiation region corresponding to each noise source in a single associated noise source combination is recorded as a division region;

[0015] If the noise distribution coefficient is greater than or equal to the preset noise distribution coefficient and the noise threshold is greater than or equal to the preset noise threshold, the region division mode is the single radiation region division, and in the single radiation region division, the radiation region corresponding to a single noise source is recorded as a division region;

[0016] The associated noise source combination is determined according to the noise difference degree and the distance reference value;

[0017] The radiation region corresponding to a single noise source is a circle with the noise source as the center and the radiation length as the radius.

[0018] Further, when selecting the effective division region according to the redundancy coefficient and the regional noise value, the division region meeting the preset condition is recorded as the effective division region;

[0019] The sound source difference degree is determined according to the sound source influence coefficient corresponding to each effective division area, wherein the sound source influence coefficient is determined according to the sound source radiation value;

[0020] If the sound source radiation value is greater than or equal to the preset sound source radiation value, the sound source influence coefficient is determined according to the coverage threshold and the area influence coefficient;

[0021] If the sound source radiation value is less than the preset sound source radiation value, the sound source influence coefficient is determined according to the area influence coefficient;

[0022] The preset condition is that the redundancy coefficient of the division area is greater than the preset redundancy coefficient or the area noise value is greater than the preset area noise value.

[0023] Further, the type of the power plant to be analyzed is determined according to the sound source difference degree and the proportion of the effective division area, and the type of the power plant to be analyzed includes:

[0024] The type of the power plant to be analyzed whose sound source difference degree is greater than or equal to the preset sound source difference degree or the proportion of the effective division area is greater than or equal to the preset proportion of the effective division area;

[0025] The type of the power plant to be analyzed whose sound source difference degree is less than the preset sound source difference degree and the proportion of the effective division area is less than the preset proportion of the effective division area.

[0026] Further, the power plant selection mode is determined according to the power plant similarity and the difficulty threshold;

[0027] If the power plant similarity is less than the preset power plant similarity or the difficulty threshold is greater than or equal to the preset difficulty threshold, the power plant selection mode is to determine the optimization mode according to the estimated noise difference degree and the proportion of the type of the power plant to be analyzed;

[0028] If the power plant similarity is greater than or equal to the preset power plant similarity and the difficulty threshold is less than the preset difficulty threshold, the power plant selection mode is to select a monitoring power plant according to the associated power plant cluster.

[0029] Further, the optimization mode is determined according to the estimated noise difference degree and the proportion of the type of the power plant to be analyzed;

[0030] If the estimated noise difference degree is greater than or equal to the preset estimated noise difference degree or the proportion of the type of the power plant to be analyzed is greater than or equal to the preset proportion of the type of the power plant to be analyzed, the optimization mode is to select a monitoring power plant according to the gas equipment difference degree, and when the monitoring power plant is selected according to the gas equipment difference degree, a type of the power plant to be analyzed whose gas equipment difference degree is less than the preset gas equipment difference degree is selected as the monitoring power plant for noise reduction monitoring;

[0031] If the estimated noise difference is less than the preset estimated noise difference and the proportion of the first type of power plant to be analyzed is less than the preset proportion of the first type of power plant to be analyzed, the optimization mode is to select the monitoring power plant according to the comprehensive evaluation value. When selecting the monitoring power plant according to the comprehensive evaluation value, the sequence of the power plants to be analyzed arranged in descending order of the comprehensive evaluation value is referred to as a reference sequence. The power plants to be analyzed at the division points are selected as monitoring power plants for noise elimination monitoring.

[0032] Further, the monitoring power plant is selected according to the associated power plant cluster, which includes:

[0033] The associated analysis is performed on each power plant to be analyzed. When the associated analysis is performed on a single power plant to be analyzed, the power plant to be analyzed is referred to as a target power plant to be analyzed, and the power plants to be analyzed other than the target power plant and not included in the associated power plant cluster are referred to as reference power plants to be analyzed;

[0034] The reference power plants to be analyzed and the target power plant to be analyzed having a difference coefficient less than a preset difference coefficient are included in an associated power plant cluster;

[0035] And the associated analysis is continued on the power plants to be analyzed not included in the associated power plant cluster until all the power plants to be analyzed are included in the associated power plant cluster;

[0036] The noise elimination monitoring is performed on the monitoring power plant corresponding to each associated power plant cluster, wherein the number of randomly selected monitoring power plants in a single associated power plant cluster is a preset number.

[0037] Further, the noise prevention method is determined according to the noise elimination reference mean value of the monitoring power plant;

[0038] If the noise elimination reference mean value is greater than or equal to a preset noise elimination reference mean value, the noise prevention method is to determine the number of silencers according to the prevention coefficient extreme value;

[0039] When the number of silencers is determined according to the prevention coefficient extreme value, the number of silencers is determined according to the ratio of the estimated noise reference value to the prevention coefficient extreme value;

[0040] If the noise elimination reference mean value is less than the preset noise elimination reference mean value, the noise prevention method is to determine the noise elimination optimization mode according to the regional noise difference of the characteristic monitoring power plant and the regional prevention extreme value.

[0041] Further, the noise elimination optimization mode is determined according to the regional noise difference of the characteristic monitoring power plant and the regional prevention extreme value;

[0042] If the regional noise difference is greater than or equal to a preset regional noise difference and the regional prevention extreme value is greater than or equal to a preset regional prevention extreme value, the noise elimination optimization mode is to determine the number of silencers according to the regional prevention coefficient of the characteristic region;

[0043] According to the area prevention coefficient of the characteristic area, the number of silencers is determined according to the ratio of the estimated noise reference value to the area prevention coefficient of the characteristic area.

[0044] If the area silencing difference is less than the preset area silencing difference or the area prevention extreme value is less than the preset area prevention extreme value, the silencing optimization mode is to increase the number of silencers according to the sub-silencing threshold.

[0045] The characteristic monitoring power plant is the monitoring power plant corresponding to the prevention coefficient extreme value, the characteristic area is the effective division area corresponding to the area prevention extreme value in the characteristic monitoring power plant, and the increase value of the number of silencers and the sub-silencing threshold are in a negative correlation.

[0046] Further, the area prevention coefficient is determined according to the redundancy coefficient;

[0047] If the redundancy coefficient is greater than or equal to the preset redundancy coefficient, the area prevention coefficient is determined according to the obstacle influence coefficient and the associated silencing ratio;

[0048] If the redundancy coefficient is less than the preset redundancy coefficient, the area prevention coefficient is determined according to the associated silencing ratio.

[0049] Compared with the prior art, the beneficial effects of the present application are that in the technical scheme of the present application, the noise distribution coefficient and the noise threshold effectively reflect the noise situation of the power plant to be analyzed, and then different area division modes are adaptively selected according to the noise distribution coefficient and the noise threshold, so that the selection of the area division mode is more in line with the actual application scenario, and then the effective division area is selected according to the redundancy coefficient and the area noise value, avoiding the problem that the selected effective division area cannot meet the actual monitoring demand, and then the difference degree of noise in the power plant to be analyzed is effectively reflected through the sound source difference and the proportion of the effective division area, and then the type of the power plant to be analyzed is determined according to the sound source difference and the proportion of the effective division area, so that the determination of the type of the power plant to be analyzed is more in line with the actual application scenario, which is beneficial to the subsequent determination of the optimization mode according to the estimated noise difference and the proportion of the first type of power plant to be analyzed, and the optimization mode is more in line with the actual power plant situation, avoiding the problems of poor pertinence and effectiveness of the monitoring power plant, making the design of the silencing scheme more close to the actual demand of the target power plant, and further improving the noise prevention effect.

[0050] Further, the power plant similarity and the difficulty threshold value in the present application reflect the similarity between the target power plant and the power plant to be analyzed and the complexity of the noise in the target power plant, and then different power plant selection methods are adaptively selected according to the power plant similarity and the difficulty threshold value, so that the selection of the power plant selection method is more in line with the actual application scene, avoiding the problem that the difference between the selected monitoring power plant and the target power plant is large, so that the noise elimination measure of the target power plant is more accurate and effective, thereby improving the noise elimination effect of the target power plant.

[0051] Further, the noise elimination reference mean in the present application effectively reflects the noise elimination situation of the monitoring power plant, and then different noise prevention and control methods are adaptively selected according to the noise elimination reference mean of the monitoring power plant, so that the selection of the noise prevention and control method is more in line with the actual application scene, avoiding the problem that the noise prevention and control method of the target power plant lacks sufficient adaptability and is difficult to achieve the expected noise elimination effect, thereby improving the pertinence and effectiveness of noise prevention and control.

[0052] Further, the regional noise elimination difference degree and the regional prevention and control extreme value of the feature monitoring power plant in the present application effectively reflect the difference of the noise elimination effect of each sub-region in the feature monitoring power plant, and then different noise elimination optimization methods are adaptively selected according to the regional noise elimination difference degree and the regional prevention and control extreme value of the feature monitoring power plant, so that the selection of the noise elimination optimization method is more in line with the actual application scene, avoiding the problem that the small number of silencers leads to poor noise elimination effect, thereby improving the noise elimination effect of the target power plant. BRIEF DESCRIPTION OF DRAWINGS

[0053] Fig. 1 It is a schematic diagram of the gas power plant noise control method of the present application;

[0054] Fig. 2 It is a flowchart for determining the type of power plant to be analyzed according to the sound source difference degree and the effective division region proportion of the present application;

[0055] Fig. 3 It is a flowchart for determining the power plant selection method according to the power plant similarity and the difficulty threshold value of the present application;

[0056] Fig. 4 It is a flowchart for determining the noise prevention and control method according to the noise elimination reference mean of the monitoring power plant of the present application. DETAILED DESCRIPTION

[0057] In order to make the purpose and advantages of the present application more clear and explicit, the present application will be further described below in combination with examples; it should be understood that the specific examples described herein are only used to explain the present application, and do not limit the present application.

[0058] The preferred embodiments of the present application will be described below with reference to the drawings. Those skilled in the art will appreciate that the embodiments are only used to explain the technical principles of the present application, and are not intended to limit the protection scope of the present application.

[0059] It should be noted that, in the description of the present application, the terms indicating the direction or positional relationship of "upper", "lower", "left", "right", "inner", "outer" and the like are based on the direction or positional relationship shown in the drawings, which is only for the convenience of description, and does not indicate or imply that the device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0060] In addition, it should be noted that, in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or the internal communication of two elements. Those skilled in the art can understand the specific meaning of the above terms in the present application according to the specific circumstances.

[0061] Please refer to Figs. 1 to 4 The present application provides a gas power plant noise control method, comprising:

[0062] According to the noise distribution coefficient and the noise threshold, the region division mode is determined, which is associated with the radiation region division or the single radiation region division;

[0063] According to the redundancy coefficient and the region noise value, the effective division region is selected, according to the sound source influence coefficient corresponding to each effective division region, the sound source difference degree is determined, and according to the sound source difference degree and the effective division region proportion, the type of the power plant to be analyzed is determined;

[0064] According to the power plant similarity and the difficulty threshold, the power plant selection mode is determined, which is according to the estimated noise difference degree and the proportion of the type of the power plant to be analyzed to determine the optimization mode, or according to the associated power plant cluster to select the monitoring power plant;

[0065] The optimization mode is to select the monitoring power plant according to the gas equipment difference degree or according to the comprehensive evaluation value;

[0066] According to the noise reduction reference mean value of the monitoring power plant, the noise prevention and control method is determined, which is to determine the number of noise eliminators according to the prevention and control coefficient extreme value, or to determine the noise elimination optimization mode according to the regional noise elimination difference degree and the regional prevention and control extreme value of the characteristic monitoring power plant;

[0067] The noise elimination optimization mode is to determine the target power plant muffler quantity according to the regional prevention and control coefficient of the feature region or to adjust the target power plant muffler quantity according to the sub-noise elimination threshold value.

[0068] The regional prevention and control coefficient is determined according to the obstacle influence coefficient and the associated noise elimination ratio or is determined according to the associated noise elimination ratio.

[0069] The application scenario of the present application is noise control of a to-be-constructed gas power plant, the target power plant is the to-be-constructed gas power plant, and the to-be-analyzed power plant is an existing gas power plant. In the present application, a plurality of historical records are correspondingly provided, and each historical record records noise distribution coefficients, noise thresholds, noise difference degrees, regional noise values, power plant similarities and difficulty thresholds in a historical process of a target power plant noise elimination method at least once. Each historical record corresponds to a qualified mark, which records whether the noise elimination effect of the target power plant noise elimination method meets the user's demand. The qualified mark can be recorded manually.

[0070] The present application is provided with a continuous monitoring cycle, and the data state is determined once at the end of each monitoring cycle. The length of the monitoring cycle can be set according to the user's demand. The greater the user's demand for data state monitoring accuracy, the shorter the monitoring cycle. A monitoring cycle value is provided, and the monitoring cycle is 24h.

[0071] In the present application, a deep learning network is applied, which includes but is not limited to a feedforward neural network, a convolutional neural network and a recurrent neural network. The user can select according to actual needs, and then perform deep learning according to the historical records to obtain the influence of different parameters on the effective degree of regional noise prevention and control. This is easily understood by those skilled in the art, and will not be described in detail.

[0072] Specifically, the region division mode is determined according to the noise distribution coefficient and the noise threshold value;

[0073] If the noise distribution coefficient is less than the preset noise distribution coefficient or the noise threshold value is less than the preset noise threshold value, the region division mode is the associated radiation region division, in which the minimum rectangle containing the radiation region corresponding to each noise source in a single associated noise source combination is recorded as a division region;

[0074] If the noise distribution coefficient is greater than or equal to the preset noise distribution coefficient and the noise threshold value is greater than or equal to the preset noise threshold value, the region division mode is the single radiation region division, in which the radiation region corresponding to a single noise source is recorded as a division region;

[0075] The associated noise source combination is determined according to the noise difference degree and the distance reference value;

[0076] The radiation area corresponding to a single noise source is a circle with the noise source as the center and the radiation length as the radius.

[0077] The noise distribution coefficient is the average of the reference minimum distances corresponding to each noise source, for a single noise source, the noise source is referred to as the target noise source, and the other noise sources outside the target noise source are referred to as reference noise sources. The shortest distance from the target noise source to each reference noise source is detected, and the minimum value of each shortest distance is referred to as the reference minimum distance corresponding to the target noise source. The noise threshold is the average of the maximum noise values corresponding to each noise source in the current monitoring period. The maximum noise value is the maximum noise value of a single noise source in the current monitoring period. In the present application, the noise sources in the power plant to be analyzed are determined by a sound phase instrument, and the noise value is measured by a noise measuring instrument. This is easily understood by those skilled in the art, and will not be described in detail.

[0078] The radiation length and the sound power corresponding to the noise source are positively correlated. The sound power can be measured by the sound pressure method. This is easily understood by those skilled in the art, and will not be described in detail.

[0079] The values of the preset noise distribution coefficient and the preset noise threshold can be determined by the user according to the actual application scenario. The greater the values of the preset noise distribution coefficient and the preset noise threshold, the greater the user's demand for associated radiation area division. A value of a preset noise distribution coefficient and a preset noise threshold is provided, and the average value of the noise distribution coefficient corresponding to the historical record that meets the user's demand is referred to as the preset noise distribution coefficient, and the average value of the noise threshold corresponding to the historical record that meets the user's demand is referred to as the preset noise threshold.

[0080] The associated noise source combination is determined according to the noise difference degree and the distance reference value. For each noise source in a single power plant to be analyzed, combination analysis is performed. For a single noise source, the noise source is referred to as the target noise source, and the noise sources outside the target noise source that are not included in the associated noise source combination are referred to as reference noise sources. The set of reference noise sources with a noise difference degree less than a preset noise difference degree and a distance reference value less than a preset distance reference value and the target noise source is referred to as an associated noise source set, and combination analysis is continued for the noise sources not included in the associated noise source combination until each noise source is included in the associated noise source combination.

[0081] The noise difference degree is the absolute value of the difference between the noise reference values corresponding to the two noise sources, and the noise reference value = noise fluctuation value + noise average value; the noise fluctuation value is the standard deviation of the noise extreme values corresponding to each monitoring point in the current monitoring period, and the noise average value is the average value of the noise extreme values corresponding to each monitoring point in the current monitoring period, and the noise extreme value is the maximum value in the noise values corresponding to each noise source in a single monitoring point in a single power plant to be analyzed, wherein the monitoring points are set by the user, and a monitoring point setting method is provided, the starting time of the current monitoring period is recorded as a monitoring point, and according to the time from early to late, every 30 minutes is recorded as a monitoring point, that is, the monitoring parameters are recorded once every 30 minutes; the distance reference value is the shortest distance between the two noise sources;

[0082] The values of the preset noise difference degree and the preset distance reference value can be determined by the user according to the actual application scene, and the greater the user's demand for the similarity of the noise sources in a single associated noise source combination, the smaller the values of the preset noise difference degree and the preset distance reference value, and a value of the preset noise difference degree and the preset distance reference value is provided, and the historical records of the associated radiation region division are detected, and the average value of the noise difference degrees corresponding to the historical records that can meet the user's demand is recorded as the preset noise difference degree, and the preset distance reference value is 10 m.

[0083] Specifically, according to the redundancy coefficient and the region noise value, the division region that meets the preset condition is recorded as an effective division region when selecting an effective division region;

[0084] The sound source difference degree is determined according to the sound source influence coefficient corresponding to each effective division region, wherein the sound source influence coefficient is determined according to the sound source radiation value;

[0085] If the sound source radiation value is greater than or equal to the preset sound source radiation value, the sound source influence coefficient is determined according to the coverage threshold and the region influence coefficient;

[0086] If the sound source radiation value is less than the preset sound source radiation value, the sound source influence coefficient is determined according to the region influence coefficient;

[0087] The preset condition is that the redundancy coefficient of the division region is greater than the preset redundancy coefficient or the region noise value is greater than the preset region noise value.

[0088] Wherein, the confirmation method of the redundancy coefficient is that, for a single division region in a single power plant to be analyzed, the division region is recorded as a target division region, and other division regions outside the target division region are recorded as reference division regions, and the redundancy coefficient = area of the region overlapping the target division region and the reference division region / area of the target division region; the region noise value is the average value of the monitoring average values corresponding to each noise source in a single division region, and the monitoring average value is the average value of the noise values corresponding to each monitoring point in the current monitoring period;

[0089] The preset redundancy coefficient and the preset regional noise value are determined by the user according to the actual application scene. The smaller the preset redundancy coefficient and the preset regional noise value are, the greater the effective division area selected by the user can meet the demand of noise monitoring. A preset redundancy coefficient is 40%, and the average value of the regional noise value corresponding to the historical record that can meet the user's demand is recorded as the preset regional noise value.

[0090] The maximum value of the sound source influence coefficient of each effective division area in a single power plant to be analyzed is recorded as a1, and the minimum value is recorded as a2. The sound source difference degree is (a1-a2) / a1. The confirmation method of the sound source radiation value is that, for a single effective division area, the effective division area is recorded as a target effective division area, and other effective division areas outside the target effective division area are recorded as reference effective division areas. The sound source radiation value is the sum of the number of noise sources in each reference effective division area that has an overlapping area with the target effective division area. It can be understood that if the target effective division area does not overlap with each reference effective division area, the sound source radiation value is 0. The user can determine the preset sound source radiation value according to the actual application scene. The greater the preset sound source radiation value is, the greater the user's demand for determining the sound source influence coefficient according to the regional influence coefficient. A preset sound source radiation value is provided. The average value of the sound source radiation value corresponding to the historical record that can meet the user's demand is recorded as the preset sound source radiation value.

[0091] When the sound source radiation value is greater than or equal to the preset sound source radiation value, the sound source influence coefficient is equal to the coverage threshold plus the regional influence coefficient. When the sound source radiation value is less than the preset sound source radiation value, the sound source influence coefficient and the regional influence coefficient are in a positive correlation. The coverage threshold is the area of the overlapping area of the target effective division area and each reference effective division area / sound source radiation value. The regional influence coefficient is the area of the target effective division area / the number of noise sources in the target effective division area.

[0092] Specifically, the type of the power plant to be analyzed is determined according to the sound source difference degree and the effective division area proportion. The type of the power plant to be analyzed includes:

[0093] The type of the power plant to be analyzed whose sound source difference degree is greater than or equal to the preset sound source difference degree or whose effective division area proportion is greater than or equal to the preset effective division area proportion;

[0094] The type of the power plant to be analyzed whose sound source difference degree is less than the preset sound source difference degree and whose effective division area proportion is less than the preset effective division area proportion.

[0095] The effective partition area ratio is equal to the number of effective partition areas in a single power plant to be analyzed / the total number of partition areas in the single power plant to be analyzed. The preset sound source difference degree and the preset effective partition area ratio can be determined according to an actual application scenario. The smaller the preset sound source difference degree and the preset effective partition area ratio, the greater the demand for determining the power plant to be analyzed as a second type of power plant to be analyzed. A preset sound source difference degree and a preset effective partition area ratio are provided. The preset effective partition area ratio is 60%. The average value of the sound source difference degrees of the historical records that meet the user demand is recorded as the preset sound source difference degree.

[0096] Specifically, the power plant selection mode is determined according to the power plant similarity and the difficulty threshold value.

[0097] If the power plant similarity is less than the preset power plant similarity or the difficulty threshold value is greater than or equal to the preset difficulty threshold value, the power plant selection mode is to determine the optimization mode according to the estimated noise difference degree and the first type of power plant ratio.

[0098] If the power plant similarity is greater than or equal to the preset power plant similarity and the difficulty threshold value is less than the preset difficulty threshold value, the power plant selection mode is to select a monitoring power plant according to the associated power plant cluster.

[0099] The power plant similarity is an average value of power generation difference values of the target power plant and each power plant to be analyzed, the power generation difference value is an absolute value of a difference between a power generation coefficient of the target power plant and a power generation coefficient of a single power plant to be analyzed, the power generation coefficient=(power generation / power generation average value)+(total gas equipment amount / total gas equipment amount average value), the power generation of the target power plant and the power plant to be analyzed is determined in different ways, the power generation of the target power plant=forecasted minimum annual power generation / 365, the forecasted minimum annual power generation is determined by load forecasting, which is easily understood by those skilled in the art and will not be described in detail, the power generation of the power plant to be analyzed is an average value of actual power generations of a single power plant to be analyzed in each historical monitoring period, the historical monitoring period is 30 monitoring periods before the current monitoring period, the total gas equipment amount is a sum of quantities of power generation areas corresponding to each gas equipment category in a single power plant, the gas equipment category includes a gas turbine, a generator, a waste heat boiler and a steam turbine, the power generation average value is an average value of power generations corresponding to each power plant to be analyzed, and the total gas equipment amount average value is an average value of total gas equipment amounts corresponding to each power plant to be analyzed; the difficulty threshold is a sum of difficulty coefficients corresponding to each power generation area category, and the difficulty coefficient is determined in the following way: for a single power generation area category, the power generation area category is regarded as a target category, other power generation area categories except the target category are regarded as reference categories, and an area of a reference area corresponding to the target category and a reference area corresponding to the reference category is regarded as a difficulty coefficient corresponding to the target category, and the reference area is a minimum rectangular area capable of containing each power generation area corresponding to a single gas equipment category;

[0100] The values of the preset power plant similarity and the preset difficulty threshold can be determined by the user according to the actual application scenario, the smaller the value of the preset power plant similarity is and the larger the value of the preset difficulty threshold is, the greater the demand of the user for selecting a monitoring power plant according to an associated power plant cluster is, and a value of the preset power plant similarity and the preset difficulty threshold is provided, historical records of selecting a monitoring power plant according to an associated power plant cluster are detected, an average value of power plant similarities corresponding to the historical records capable of meeting the demand of the user is regarded as the preset power plant similarity, and an average value of difficulty thresholds corresponding to the historical records capable of meeting the demand of the user is regarded as the preset difficulty threshold.

[0101] Specifically, the optimization mode is determined according to the estimated noise difference degree and the proportion of the first type of power plant to be analyzed.

[0102] If the estimated noise difference degree is greater than or equal to a preset estimated noise difference degree or the proportion of the first type of power plant to be analyzed is greater than or equal to a preset proportion of the first type of power plant to be analyzed, the optimization mode is to select a monitoring power plant according to a gas equipment difference degree, and when the monitoring power plant is selected according to the gas equipment difference degree, a power plant to be analyzed with a small gas equipment difference degree is selected as the monitoring power plant for noise elimination monitoring.

[0103] If the estimated noise difference is less than the preset estimated noise difference and the proportion of the first type of to-be-analyzed power plants is less than the preset proportion of the first type of to-be-analyzed power plants, the optimization mode is to select the monitoring power plants according to the comprehensive evaluation values. When selecting the monitoring power plants according to the comprehensive evaluation values, a sequence obtained by sorting the to-be-analyzed power plants in descending order of the comprehensive evaluation values is referred to as a reference sequence, and the to-be-analyzed power plants at each division point are selected as the monitoring power plants for noise elimination monitoring.

[0104] wherein the estimated noise difference is an average value of absolute values of differences between noise coefficients of the to-be-analyzed power plants and a noise coefficient of the target power plant / the estimated noise reference value of the target power plant;

[0105] The estimated noise reference value of the target power plant is a product of the average value of the ratio reference values and the generation coefficient, the average value of the ratio reference values is an average value of ratio reference values corresponding to the to-be-analyzed power plants, and the ratio reference value corresponding to a single to-be-analyzed power plant is a ratio of a noise coefficient of the to-be-analyzed power plant to a generation coefficient of the to-be-analyzed power plant, and the noise coefficient of the to-be-analyzed power plant is an average value of regional noise values corresponding to each division region of the to-be-analyzed power plant;

[0106] The proportion of the first type of to-be-analyzed power plants is a number of the first type of to-be-analyzed power plants / the total number of to-be-analyzed power plants;

[0107] The preset estimated noise difference, the preset proportion of the first type of to-be-analyzed power plants, and the preset gas equipment difference can be determined by the user according to the actual application scenario. The smaller the preset estimated noise difference and the preset proportion of the first type of to-be-analyzed power plants, the greater the user's demand for selecting to-be-analyzed power plants according to the comprehensive evaluation values. A preset estimated noise difference is 40%, a preset proportion of the first type of to-be-analyzed power plants is 70%, and the average value of the gas equipment differences corresponding to the historical records that meet the user's demand is referred to as the preset gas equipment difference;

[0108] The gas equipment difference degree = | the reference value of the gas equipment corresponding to the single to-be-analyzed power plant - the reference value of the gas equipment corresponding to the target power plant | / the reference value of the gas equipment corresponding to the target power plant, the to-be-analyzed power plant is recorded as a target to-be-analyzed power plant, the reference value of the gas equipment corresponding to the to-be-analyzed power plant and the target power plant is confirmed in the same way, for a single power plant, the power plant is recorded as a target power plant, the reference value of the gas equipment corresponding to the target power plant = the total amount of the gas equipment in the target power plant / the average value of the total amount of the gas equipment + the difficulty threshold value corresponding to the target power plant / the average value of the difficulty threshold value, the average value of the difficulty threshold value is the average value of the difficulty threshold value corresponding to each to-be-analyzed power plant; the comprehensive evaluation value = the effective division area proportion + the sound source difference degree; the value of n is determined by the user according to actual needs, the greater the accuracy of the user to the sound elimination monitoring, the greater the value of n, and a value of n is provided, n is 10.

[0109] Specifically, the monitoring power plant is selected according to the associated power plant cluster, including:

[0110] The associated analysis is performed on each to-be-analyzed power plant, and when the associated analysis is performed on a single to-be-analyzed power plant, the to-be-analyzed power plant is recorded as a target to-be-analyzed power plant, and the to-be-analyzed power plant that is not recorded in the associated power plant cluster is recorded as a reference to-be-analyzed power plant;

[0111] The reference to-be-analyzed power plant and the target to-be-analyzed power plant with a difference coefficient less than a preset difference coefficient are recorded in an associated power plant cluster;

[0112] And the associated analysis is continued on the to-be-analyzed power plant that is not recorded in the associated power plant cluster, until each to-be-analyzed power plant is recorded in the associated power plant cluster;

[0113] The sound elimination monitoring is performed on the monitoring power plant corresponding to each associated power plant cluster, wherein the number of the monitoring power plants randomly selected in a single associated power plant cluster is a preset number.

[0114] It should be noted that when the reference to-be-analyzed power plant and the target to-be-analyzed power plant with a difference coefficient less than a preset difference coefficient are recorded in an associated power plant cluster, the associated power plant cluster is recorded as a target associated power plant cluster, and the associated power plant cluster recorded when the associated analysis is continued on the to-be-analyzed power plant that is not recorded in the associated power plant cluster is not the target associated power plant cluster, but a new associated power plant cluster, so that the associated analysis on each to-be-analyzed power plant can obtain a plurality of associated power plant clusters;

[0115] The difference coefficient is the absolute value of the difference between the noise evaluation values of the two power plants to be analyzed, and the noise evaluation value = noise distribution coefficient + noise threshold value. The user can determine the value of the preset difference coefficient according to the actual application scenario. The smaller the value of the preset difference coefficient, the smaller the difference degree of the power plants to be analyzed in the associated power plant cluster. A value of the preset difference coefficient is provided. The average value of the difference coefficients corresponding to the historical records that can meet the user's demand is recorded as the preset difference coefficient according to the historical records of the monitoring power plant selected according to the associated power plant cluster. The user can determine the value of the preset number according to the actual demand. A value of the preset number is provided. The preset number is 30% of the number of power plants to be analyzed in a single associated power plant cluster.

[0116] Specifically, the noise prevention method is determined according to the noise reduction reference mean value of the monitoring power plant;

[0117] If the noise reduction reference mean value is greater than or equal to the preset noise reduction reference mean value, the noise prevention method is to determine the number of silencers according to the prevention coefficient extreme value;

[0118] When the number of silencers is determined according to the prevention coefficient extreme value, the number of silencers is determined according to the ratio of the estimated noise reference value to the prevention coefficient extreme value;

[0119] If the noise reduction reference mean value is less than the preset noise reduction reference mean value, the noise prevention method is to determine the noise optimization mode according to the regional noise reduction difference degree and the regional prevention extreme value of the characteristic monitoring power plant.

[0120] The noise reduction reference mean value is the average value of the noise reduction reference values corresponding to each power plant to be analyzed. The confirmation method of the noise reduction reference value is as follows: for a single power plant to be analyzed, the power plant to be analyzed is recorded as a target power plant to be analyzed. The noise reduction reference value corresponding to the target power plant to be analyzed = the noise threshold value corresponding to the target power plant to be analyzed - the average value of the maximum noise values of each noise source when the target power plant to be analyzed starts the silencer;

[0121] The user can determine the value of the preset noise reduction reference mean value according to the actual application scenario. The smaller the value of the preset noise reduction reference mean value, the greater the demand of the user to determine the number of silencers of the target power plant according to the prevention coefficient extreme value. A value of the preset noise reduction reference mean value is provided. The average value of the noise reduction reference values corresponding to the historical records that can meet the user's demand is recorded as the preset noise reduction reference mean value according to the historical records of the target power plant determined according to the prevention coefficient extreme value;

[0122] The prevention coefficient extreme value is the maximum value in the prevention coefficients corresponding to each power plant to be analyzed. The prevention coefficient is the average value of the regional prevention coefficients corresponding to each effective division region in a single power plant to be analyzed;

[0123] The number of silencers is the total number of silencers in the target power plant, and when the number of silencers is determined according to the extreme value of the prevention coefficient, the number of silencers = estimated noise reference value of the target power plant / prevention coefficient extreme value.

[0124] Specifically, the silencer optimization mode is determined according to the regional silencing difference and the regional prevention extreme value of the feature monitoring power plant;

[0125] If the regional silencing difference is greater than or equal to the preset regional silencing difference and the regional prevention extreme value is greater than or equal to the preset regional prevention extreme value, the silencer optimization mode is to determine the number of silencers according to the regional prevention coefficient of the feature region;

[0126] When the number of silencers is determined according to the regional prevention coefficient of the feature region, the number of silencers is determined according to the ratio of the estimated noise reference value to the regional prevention coefficient of the feature region;

[0127] If the regional silencing difference is less than the preset regional silencing difference or the regional prevention extreme value is less than the preset regional prevention extreme value, the silencer optimization mode is to increase the number of silencers according to the sub-silencing threshold;

[0128] The feature monitoring power plant is a monitoring power plant corresponding to the extreme value of the prevention coefficient, the feature region is an effective division region corresponding to the regional prevention extreme value in the feature monitoring power plant, and the increase value of the number of silencers and the sub-silencing threshold are in a negative correlation.

[0129] Wherein, the regional silencing difference = (regional prevention extreme value-minimum value of the regional prevention coefficient corresponding to each effective division region in the feature monitoring power plant) / regional prevention extreme value; the regional prevention extreme value is the maximum value of the regional prevention coefficient corresponding to each effective division region in the feature monitoring power plant; the sub-silencing threshold = regional prevention extreme value / number of silencers in the feature region;

[0130] When the number of silencers is determined according to the regional prevention coefficient of the feature region, the number of silencers = estimated noise reference value of the target power plant / regional prevention coefficient of the feature region;

[0131] The values of the preset regional silencing difference and the preset regional prevention extreme value can be determined by the user according to the actual application scenario, the smaller the values of the preset regional silencing difference and the preset regional prevention extreme value, the greater the demand of the user to determine the number of silencers according to the regional prevention coefficient of the feature region, and a value of the preset regional silencing difference and the preset regional prevention extreme value is provided, the preset regional silencing difference is 50%, and the average value of the regional prevention extreme value corresponding to the historical record that can meet the demand of the user is recorded as the preset regional prevention extreme value.

[0132] Specifically, the regional prevention coefficient is determined according to the redundancy coefficient;

[0133] If the redundancy coefficient is greater than or equal to the preset redundancy coefficient, the regional prevention coefficient is determined according to the obstacle influence coefficient and the associated noise reduction ratio;

[0134] If the redundancy coefficient is less than the preset redundancy coefficient, the regional prevention coefficient is determined according to the associated noise reduction ratio.

[0135] Wherein, when the redundancy coefficient is greater than or equal to the preset redundancy coefficient, the regional prevention coefficient = the associated noise reduction ratio x the first coefficient + the obstacle influence coefficient x the second coefficient;

[0136] When the redundancy coefficient is less than the preset redundancy coefficient, the regional prevention coefficient and the associated noise reduction ratio are in a positive correlation relationship;

[0137] The confirmation method of the obstacle influence coefficient is that the maximum value in the influence reference value corresponding to each reference effective division region is recorded as the obstacle influence coefficient, for a single effective division region, the effective division region is recorded as the target effective division region, and the effective division region overlapping with the target effective division region is recorded as the reference effective division region, for a single reference effective division region, the reference effective division region is recorded as the to-be-analyzed region, the influence reference value corresponding to the to-be-analyzed region = the average value of the maximum noise values corresponding to each noise source in the to-be-analyzed region / the obstacle reference value, the obstacle reference value is the number of obstacles in the path with the shortest distance from the center point of the to-be-analyzed region to the center of the target effective division region, the obstacles include but are not limited to walls, doors, windows and gas equipment, and the center point is the center of the circumscribed circle of the single effective division region;

[0138] The associated noise reduction ratio = (the average value of the maximum noise values corresponding to each noise source in the target effective division region in the current monitoring period-the average value of the maximum noise values corresponding to each noise source in the target effective division region when the noise reducer is turned on) / the area of the target effective division region;

[0139] The values of the first coefficient and the second coefficient can be obtained by the user through deep learning convolutional neural network for historical records, and it can be understood that the present application reflects the effective degree of regional noise prevention through the obstacle influence coefficient and the associated noise reduction ratio, the user can use deep learning to obtain the influence of the obstacle influence coefficient and the associated noise reduction ratio on the effective degree of regional noise prevention according to the historical records, and then select the values of the first coefficient and the second coefficient, the greater the values of the first coefficient and the second coefficient, the greater the influence on the effective degree of regional noise prevention, wherein the first coefficient + the second coefficient = 1, a value of the first coefficient and the second coefficient is provided, the first coefficient is 0.6, and the second coefficient is 0.4.

[0140] Thus far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but it is readily understood by those skilled in the art that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the relevant technical features without departing from the principles of the present application, and the technical solutions after these changes or replacements will all fall within the protection scope of the present application.

[0141] The above merely describes the preferred embodiments of the present application and is not intended to limit the present application; the present application can have various changes and variations for those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A noise control method for a gas-fired power plant, characterized in that, include: The region division method is determined based on the noise distribution coefficient and the noise threshold. The region division method is either associated radiation region division or single radiation region division. The effective division area is selected based on the redundancy coefficient and the regional noise value. The sound source difference is determined based on the sound source influence coefficient corresponding to each effective division area. The power plant category to be analyzed is determined based on the sound source difference and the proportion of the effective division area. The redundancy coefficient is determined as follows: for a single partitioned area in a single power plant to be analyzed, the partitioned area is recorded as the target partitioned area, and other partitioned areas outside the target partitioned area are recorded as reference partitioned areas. Redundancy coefficient = area of ​​the area where the target partitioned area and the reference partitioned area overlap / area of ​​the target partitioned area. The power plant categories to be analyzed include: a category of power plants whose sound source difference is greater than or equal to the preset sound source difference or whose effective division area ratio is greater than or equal to the preset effective division area ratio; and a category of power plants whose sound source difference is less than the preset sound source difference and whose effective division area ratio is less than the preset effective division area ratio. The power plant selection method is determined based on the power plant similarity and difficulty threshold. The power plant selection method is to determine the optimization method based on the estimated noise difference and the proportion of a class of power plants to be analyzed, or to select monitoring power plants based on the cluster of associated power plants. The power plant similarity is the average of the power generation difference between the target power plant and each power plant to be analyzed. The power generation difference is the absolute value of the difference between the power generation coefficient corresponding to the target power plant and the power generation coefficient corresponding to a single power plant to be analyzed. Power generation coefficient = (power generation / average power generation) + (total number of gas-fired equipment / average number of gas-fired equipment). The difficulty threshold is the sum of the difficulty coefficients corresponding to each power generation area category. The method for determining the difficulty coefficient is as follows: for a single power generation area category, the power generation area category is recorded as the target category, and other power generation area categories outside the target category are recorded as reference categories. The area of ​​the overlapping area between the reference area corresponding to the target category and the reference area corresponding to the reference category is recorded as the difficulty coefficient corresponding to the target category. The reference area is the smallest rectangular area that can contain each power generation area corresponding to a single gas equipment category. The optimization method involves selecting monitoring power plants based on the variability of gas equipment or based on comprehensive evaluation values. The noise control method is determined based on the average noise reduction reference value of the monitored power plant. The noise control method is to determine the number of silencers based on the extreme value of the control coefficient, or to determine the noise reduction optimization method based on the regional noise reduction difference and regional control extreme value of the monitored power plant. The noise reduction optimization method is to determine the number of silencers for the target power plant based on the regional prevention coefficient of the characteristic area, or to adjust the number of silencers for the target power plant based on the sub-noise reduction threshold. The regional prevention coefficient is determined based on the obstacle influence coefficient and the associated noise reduction ratio, or based on the associated noise reduction ratio. The obstacle influence coefficient is determined as follows: the maximum value of the influence reference value corresponding to each effective partitioned area is recorded as the obstacle influence coefficient. For a single effective partitioned area, the effective partitioned area is recorded as the target effective partitioned area. Effective partitioned areas that overlap with the target effective partitioned area are recorded as reference effective partitioned areas. For a single reference effective partitioned area, the reference effective partitioned area is recorded as the area to be analyzed. The influence reference value corresponding to the area to be analyzed is the average value of the maximum noise value corresponding to each noise source in the area to be analyzed / the obstacle reference value. The obstacle reference value is the number of obstacles in the shortest path from the center point of the area to be analyzed to the center of the target effective partitioned area.

2. The noise control method for gas-fired power plants according to claim 1, characterized in that, The region division method is determined based on the noise distribution coefficient and the noise threshold. If the noise distribution coefficient is less than the preset noise distribution coefficient or the noise threshold is less than the preset noise threshold, the area division method is associated radiation area division. In the associated radiation area division, the smallest rectangle containing the radiation area corresponding to each noise source in a single associated noise source combination is recorded as a division area. If the noise distribution coefficient is greater than or equal to the preset noise distribution coefficient and the noise threshold is greater than or equal to the preset noise threshold, the area division method is single radiation area division. In the single radiation area division, the radiation area corresponding to a single noise source is recorded as a division area. The associated noise source combination is determined based on the noise difference degree and distance reference value; The radiation area corresponding to a single noise source is a circle with the noise source as the center and the radiation length as the radius.

3. The noise control method for gas-fired power plants according to claim 2, characterized in that, When selecting an effective partitioned region based on the redundancy coefficient and the regional noise value, the partitioned region that meets the preset conditions is recorded as the effective partitioned region. The degree of sound source difference is determined based on the sound source influence coefficient corresponding to each effective division area, wherein the sound source influence coefficient is determined based on the sound source radiation value; If the sound source radiation value is greater than or equal to the preset sound source radiation value, the sound source influence coefficient is determined based on the coverage threshold and the regional influence coefficient. If the sound source radiation value is less than the preset sound source radiation value, the sound source influence coefficient shall be determined according to the regional influence coefficient. The preset condition is that the redundancy coefficient of the divided area is greater than the preset redundancy coefficient or the area noise value is greater than the preset area noise value.

4. The noise control method for gas-fired power plants according to claim 1, characterized in that, The power plant selection method is determined based on power plant similarity and difficulty threshold. If the power plant similarity is less than the preset power plant similarity or the difficulty threshold is greater than or equal to the preset difficulty threshold, the power plant selection method is to determine the optimization method based on the estimated noise difference and the proportion of a class of power plants to be analyzed. If the power plant similarity is greater than or equal to the preset power plant similarity and the difficulty threshold is less than the preset difficulty threshold, the power plant selection method is to select the monitoring power plant based on the associated power plant cluster.

5. The noise control method for gas-fired power plants according to claim 4, characterized in that, The optimization method is determined based on the estimated noise difference and the proportion of the first type of power plants to be analyzed. If the estimated noise difference is greater than or equal to the preset estimated noise difference or the proportion of a type of power plant to be analyzed is greater than or equal to the preset proportion of a type of power plant to be analyzed, the optimization method is to select the monitoring power plant based on the gas equipment difference. When selecting the monitoring power plant based on the gas equipment difference, select a type of power plant to be analyzed with a gas equipment difference less than the preset gas equipment difference as the monitoring power plant for noise reduction monitoring. If the estimated noise difference is less than the preset estimated noise difference and the proportion of Class I power plants to be analyzed is less than the preset proportion of Class I power plants to be analyzed, the optimization method is to select monitoring power plants based on the comprehensive evaluation value. When selecting monitoring power plants based on the comprehensive evaluation value, the sequence of each power plant to be analyzed in descending order of comprehensive evaluation value is recorded as the reference sequence. The reference sequence is divided into n equal parts, and the power plants to be analyzed located at each division point are used as monitoring power plants for noise reduction monitoring.

6. The noise control method for gas-fired power plants according to claim 4, characterized in that, Based on the cluster of associated power plants, the power plants to be monitored include: For each power plant to be analyzed, a correlation analysis is performed. When performing a correlation analysis on a single power plant to be analyzed, the power plant to be analyzed is recorded as the target power plant to be analyzed, and the power plants to be analyzed that are not recorded in the correlation power plant cluster other than the target power plant are recorded as reference power plants to be analyzed. Reference power plants that have a difference coefficient less than the preset difference coefficient from the target power plant to be analyzed, as well as the target power plant to be analyzed, are recorded into an associated power plant cluster. And continue to perform association analysis on the power plants to be analyzed that are not included in the associated power plant cluster, until all power plants to be analyzed are included in the associated power plant cluster; Noise reduction monitoring is performed on the power plants corresponding to each associated power plant cluster. The number of power plants randomly selected for monitoring in a single associated power plant cluster is a preset number.

7. The noise control method for gas-fired power plants according to claim 6, characterized in that, Noise control methods are determined based on the average noise reduction reference value of the monitored power plant; If the noise reduction reference mean is greater than or equal to the preset noise reduction reference mean, the noise control method is to determine the number of silencers based on the extreme value of the control coefficient. When determining the number of silencers based on the extreme value of the prevention and control coefficient, the number of silencers shall be determined based on the ratio of the estimated noise reference value to the extreme value of the prevention and control coefficient. If the noise reduction reference mean is less than the preset noise reduction reference mean, the noise control method is to determine the noise reduction optimization method based on the regional noise reduction difference of the power plant and the regional control extreme value.

8. The noise control method for gas-fired power plants according to claim 7, characterized in that, The noise reduction optimization method is determined based on the regional noise reduction differences and regional prevention extremes of the power plant. If the regional noise reduction difference is greater than or equal to the preset regional noise reduction difference and the regional prevention extreme value is greater than or equal to the preset regional prevention extreme value, the noise reduction optimization method is to determine the number of silencers based on the regional prevention coefficient of the characteristic region. When determining the number of silencers based on the regional prevention coefficient of the characteristic area, the number of silencers is determined based on the ratio of the estimated noise reference value to the regional prevention coefficient of the characteristic area. If the regional noise reduction difference is less than the preset regional noise reduction difference or the regional prevention and control extreme value is less than the preset regional prevention and control extreme value, the noise reduction optimization method is to increase the number of silencers according to the sub-noise reduction threshold. The characteristic monitoring power plant is the monitoring power plant corresponding to the extreme value of the prevention and control coefficient, the characteristic region is the effective division region corresponding to the extreme value of regional prevention and control in the characteristic monitoring power plant, and the increase in the number of silencers is negatively correlated with the sub-silencing threshold.

9. The noise control method for gas-fired power plants according to claim 8, characterized in that, The regional prevention and control coefficient is determined based on the redundancy coefficient; If the redundancy coefficient is greater than or equal to the preset redundancy coefficient, the regional prevention coefficient is determined based on the obstacle influence coefficient and the associated noise reduction ratio. If the redundancy coefficient is less than the preset redundancy coefficient, the regional prevention and control coefficient is determined based on the associated noise reduction ratio.

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