Operation state determination method and device, storage medium and electronic equipment

Abstract

The invention discloses an operation state determination method and device, a storage medium and electronic equipment, and relates to the technical field of data processing, and the operation state determination method comprises the steps that environment temperature data, vacuum degree data, frequency data and coal consumption data of a direct air cooling unit in an operation state are acquired; based on the environment temperature data, the vacuum degree data, the frequency data and the coal consumption data, determining a first change trend representing that the vacuum degree affects the coal consumption and a second change trend representing that the electricity rate affects the coal consumption in the running state of the direct air cooling unit; according to the first change trend and the second change trend, generating a comprehensive change trend of coal consumption corresponding to the direct air cooling unit in the running state; and the operation state with the lowest coal consumption in the comprehensive change trend is determined as the target operation state corresponding to the direct air cooling unit. Compared with the prior art, the stability of the running state of the direct air cooling unit can be improved, and the energy consumption of the direct air cooling unit can be reduced.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method, device, storage medium and electronic device for determining an operating state. Background Art

[0002] Direct air-cooled unit is a cooling system used in power plants, mainly used to condense steam discharged from turbines into water so that it can be sent back to the boiler for recycling. Compared with traditional water cooling systems, direct air-cooled units do not rely on large amounts of water resources, so they have obvious advantages in areas with scarce water resources or strict environmental protection requirements.

[0003] At present, the operating status of the direct air-cooling unit is mainly monitored by using controllers such as temperature sensors, pressure sensors, and wind speed sensors, and then the direct air-cooling unit is adjusted based on the parameters of the controller to determine the operating status of the direct air-cooling unit in which it can operate stably.

[0004] However, using this method of determining the operating status, the back pressure of the direct air-cooled unit during operation is greatly affected by the turbine load, ambient temperature, air flow, etc., which will cause multiple controllers to be affected as well, thereby resulting in lower stability of the operating status of the direct air-cooled unit and higher energy consumption of the direct air-cooled unit. Summary of the invention

[0005] In view of this, the present application provides a method, device, storage medium and electronic device for determining the operating status. The main purpose is to improve the current existing technology for determining the operating status. The back pressure of the direct air-cooled unit during operation is greatly affected by the turbine load, ambient temperature, air flow, etc., which will cause multiple controllers to be affected as well, thereby resulting in low stability of the operating status of the direct air-cooled unit and high energy consumption of the direct air-cooled unit. Technical problems.

[0006] In a first aspect, the present application provides a method for determining an operating state, comprising:

[0007] Obtain the ambient temperature data, vacuum data, frequency data and coal consumption data of the direct air-cooling unit in operation;

[0008] Based on the ambient temperature data, the vacuum degree data, the frequency data and the coal consumption data, determining a first change trend indicating that the vacuum degree affects the coal consumption and a second change trend indicating that the power factor affects the coal consumption when the direct air cooling unit is in operation;

[0009] According to the first change trend and the second change trend, a comprehensive change trend of the coal consumption corresponding to the direct air cooling unit in the operating state is generated;

[0010] The operating state with the lowest coal consumption in the comprehensive change trend is determined as the target operating state corresponding to the direct air cooling unit.

[0011] Optionally, obtaining the coal consumption data of the direct air-cooling unit in operation includes:

[0012] Determining the number of fans included in the direct air cooling unit;

[0013] The coal consumption data is determined based on the ambient temperature data and the number of fans.

[0014] Optionally, the determining, based on the ambient temperature data, the vacuum degree data, the frequency data and the coal consumption data, a first change trend indicating that the vacuum degree affects the coal consumption and a second change trend indicating that the power rate affects the coal consumption of the direct air cooling unit in the operating state includes:

[0015] Correcting the vacuum degree data based on the ambient temperature data to obtain corrected vacuum degree data;

[0016] The first change trend and the second change trend are determined based on the corrected vacuum degree data, the frequency data and the coal consumption data.

[0017] Optionally, the correcting the vacuum degree data based on the ambient temperature data to obtain the corrected vacuum degree data includes:

[0018] Analyzing the ambient temperature data and the vacuum degree data to obtain a coefficient representing the influence of the ambient temperature on the vacuum degree;

[0019] The vacuum degree data is corrected according to the influence coefficient to obtain the corrected vacuum degree data.

[0020] Optionally, the analyzing the ambient temperature data and the vacuum degree data to obtain a coefficient representing the influence of the ambient temperature on the vacuum degree includes:

[0021] Determine an average value of the ambient temperature corresponding to the ambient temperature data, and determine an average value of the vacuum degree corresponding to the vacuum degree data;

[0022] The influence coefficient is determined according to the average value of the ambient temperature and the average value of the vacuum degree.

[0023] Optionally, determining the operating state with the lowest coal consumption in the comprehensive change trend as the target operating state corresponding to the direct air cooling unit includes:

[0024] Determine the target ambient temperature, target vacuum degree, target frequency and target number of fans corresponding to the operating state with the lowest coal consumption in the comprehensive change trend;

[0025] Based on the target ambient temperature, the target vacuum degree, the target frequency and the target number of fans, a target operating state corresponding to the direct air cooling unit is constructed.

[0026] In a second aspect, the present application provides a device for determining an operating state, comprising:

[0027] An acquisition module is configured to acquire ambient temperature data, vacuum data, frequency data and coal consumption data of the direct air-cooling unit in operation;

[0028] a determination module configured to determine, based on the ambient temperature data, the vacuum degree data, the frequency data and the coal consumption data, a first change trend indicating that the vacuum degree affects the coal consumption and a second change trend indicating that the power rate affects the coal consumption of the direct air cooling unit in an operating state;

[0029] A generating module, configured to generate a comprehensive change trend of the coal consumption corresponding to the direct air-cooling unit in an operating state according to the first change trend and the second change trend;

[0030] The determination module is also configured to determine the operating state with the lowest coal consumption in the comprehensive change trend as the target operating state corresponding to the direct air-cooling unit.

[0031] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for determining the operating status described in the first aspect.

[0032] In a fourth aspect, the present application provides an electronic device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the method for determining the operating status described in the first aspect when executing the computer program.

[0033] In a fifth aspect, the present application provides a computer program product, which includes a computer program, and is characterized in that when the computer program is executed by a processor, it implements the method for determining the operating status described in the first aspect.

[0034] By means of the above technical scheme, the present application provides a method, device, storage medium and electronic device for determining the operating status. Compared with the current existing technology, the present application determines the first change trend indicating the influence of vacuum on coal consumption and the second change trend indicating the influence of power on coal consumption of the direct air-cooling unit in the operating status through ambient temperature data, vacuum data, frequency data and coal consumption data; generates a comprehensive change trend of coal consumption corresponding to the direct air-cooling unit in the operating status based on the first change trend and the second change trend; determines the operating status with the lowest coal consumption in the comprehensive change trend as the target operating status corresponding to the direct air-cooling unit, and can comprehensively analyze the influence of turbine load, ambient temperature, air flow, etc. on the back pressure of the direct air-cooling unit during operation, thereby determining the optimal operating status under the influence, improving the stability of the operating status of the direct air-cooling unit, and reducing the energy consumption of the direct air-cooling unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0036] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0037] Figure 1 A schematic diagram showing a flow chart of a method for determining an operating state provided in an embodiment of the present application;

[0038] Figure 2 A schematic diagram showing a flow chart of a method for determining an operating state provided in an embodiment of the present application;

[0039] Figure 3 A schematic diagram showing an example provided by an embodiment of the present application;

[0040] Figure 4 A schematic diagram showing an example provided by an embodiment of the present application;

[0041] Figure 5 A schematic diagram showing an example provided by an embodiment of the present application;

[0042] Figure 6 A schematic diagram showing an example provided by an embodiment of the present application;

[0043] Figure 7 A schematic diagram showing the structure of a device for determining an operating state provided in an embodiment of the present application is shown;

[0044] Figure 8 A schematic structural diagram of an electronic device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0045] The embodiments of the present application will be described in more detail below with reference to the accompanying drawings. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0046] In order to improve the current existing technology using this method of determining the operating state, the back pressure of the direct air-cooling unit during operation is greatly affected by the turbine load, ambient temperature, air flow, etc., which will cause multiple controllers to be affected, thereby resulting in low stability of the operating state of the direct air-cooling unit and high energy consumption of the direct air-cooling unit. This embodiment provides a method for determining the operating state, such as Figure 1 As shown, the method includes:

[0047] Step 101: Obtain ambient temperature data, vacuum data, frequency data and coal consumption data of the direct air-cooling unit in operation.

[0048] In an embodiment of the present application, the vacuum state in a direct air-cooled unit refers to a state in which the pressure on the exhaust side of the steam turbine is lower than the atmospheric pressure. This state is crucial to ensuring the efficient operation of the unit and improving thermal efficiency. The vacuum state of the direct air-cooled unit can reduce the exhaust pressure, thereby reducing the back pressure of the steam turbine. Lower back pressure means that more steam energy can be converted into mechanical energy, thereby improving the thermal efficiency of the entire power generation system. In a vacuum state, steam is more easily condensed into water, reducing energy loss during the condensation process. A stable vacuum state helps maintain the stable operation of the steam turbine and reduce fluctuations and failures.

[0049] In some examples, the ambient temperature data of the direct air-cooled unit under vacuum is very important for evaluating its performance and optimizing its operation. The ambient temperature directly affects the cooling effect of the air-cooled condenser, which in turn affects the vacuum degree and the overall thermal efficiency. Specifically, the ambient temperature data may include low temperature environment (<10°C), medium temperature environment (10°C-30°C) and high temperature environment (>30°C), wherein in the low temperature environment, the vacuum degree can usually reach above -85kPa (absolute pressure is about 15kPa or less). The condensation efficiency is high because the air cooling effect in the low temperature environment is good, which helps to improve the vacuum degree. The thermal efficiency is high because the lower exhaust pressure can improve the thermal efficiency of the turbine. In the medium temperature environment, the vacuum degree is usually between -80kPa and -85kPa (absolute pressure is about 20kPa to 15kPa). The condensation efficiency is good, and although the ambient temperature is moderate, the air cooling effect is still good. The thermal efficiency is high, but it may be slightly lower than that of the low temperature environment. In the high temperature environment, the vacuum degree is usually between -70kPa and -80kPa (absolute pressure is about 25kPa to 20kPa). Condensation efficiency is lower because air cooling is less effective in high temperature environments and the vacuum may be reduced. Thermal efficiency is lower because higher exhaust pressures reduce the thermal efficiency of the turbine.

[0050] Correspondingly, the fan frequency data in the direct air cooling unit refers to the frequency of the fan when it is running, which is usually controlled by a variable frequency drive (VFD). The frequency data of the fan is crucial to ensure the efficient operation and stable performance of the air cooling system. The frequency of the fan refers to the frequency of the AC power output by the inverter, which is measured in Hertz (Hz). The frequency determines the speed of the fan motor, thereby affecting the air volume and cooling effect of the fan. The standard grid frequency is 50Hz or 60Hz, and the fan frequency is usually between 0Hz and 60Hz, depending on the design and operating conditions. The common range of fan frequency includes low frequency and high frequency, among which low frequency operation is between 0Hz and 30Hz. Low frequency operation is usually used under light load or low ambient temperature conditions to reduce energy consumption. For example, at night or in winter, when the ambient temperature is low, the fan can run at a lower frequency. High frequency operation is between 30Hz and 60Hz: High frequency operation is usually used under high load or high ambient temperature conditions to improve the cooling effect. For example, during the day or in summer, when the ambient temperature is high, the fan needs to run at a higher frequency.

[0051] For this embodiment, the coal consumption data of the direct air-cooling unit is an important indicator for evaluating its operating efficiency and economy. Coal consumption is usually measured in terms of coal consumption per kilowatt-hour (kWh), in grams of coal / kilowatt-hour (g / kWh). Specifically, coal consumption refers to the weight of coal required to produce 1 kilowatt-hour (kWh) of electricity during the power generation process, in grams of coal / kilowatt-hour (g / kWh). Low coal consumption indicates high operating efficiency and good economy of the unit; high coal consumption indicates low operating efficiency and poor economy. Exemplarily, the coal consumption of modern high-efficiency direct air-cooling units is usually between 280g / kWh and 320g / kWh. The coal consumption of ordinary direct air-cooling units is usually between 320g / kWh and 350g / kWh. The coal consumption of old or poorly maintained direct air-cooling units may be as high as 350g / kWh or more.

[0052] Step 102: Based on the ambient temperature data, vacuum data, frequency data and coal consumption data, determine a first change trend indicating that the vacuum degree affects the coal consumption and a second change trend indicating that the power rate affects the coal consumption when the direct air-cooling unit is in operation.

[0053] In the embodiment of the present application, the first change trend can be the change trend of the vacuum degree affecting the coal consumption, and the vacuum degree has a significant effect on the coal consumption of the direct air-cooled unit. The change in vacuum degree will directly affect the back pressure of the steam turbine, and then affect the thermal efficiency of the entire power generation system. Specifically, vacuum degree refers to the degree to which the pressure on the exhaust side of the steam turbine is lower than the atmospheric pressure, usually expressed as negative pressure (e.g. -85kPa). A higher vacuum degree (lower absolute pressure) can reduce the back pressure of the steam turbine, so that more steam energy is converted into mechanical energy, thereby improving thermal efficiency and reducing coal consumption. It should be noted that when the vacuum degree increases, the coal consumption decreases, and when the vacuum degree decreases, the coal consumption increases. A higher vacuum degree means a lower back pressure, which reduces the pressure loss when the steam turbine is exhausted, and more steam energy can be converted into mechanical energy, thereby improving thermal efficiency. A higher vacuum degree helps to improve the condensation efficiency of the air-cooled condenser, reduce condensation losses, and further improve thermal efficiency. A higher vacuum degree can improve the efficiency of the steam turbine, reduce the loss of steam in the steam turbine, and thus reduce coal consumption.

[0054] In some examples, the second change trend may be a change trend in which the power rate affects the coal consumption, and the power rate (plant power rate) has a significant impact on the coal consumption of the direct air-cooled unit. The plant power rate refers to the proportion of the power consumed by the power plant itself to the total power generation. The level of the plant power rate directly affects the net output power of the power plant, and thus affects the coal consumption. Specifically, the plant power rate refers to the proportion of the power consumed by the power plant itself to the total power generation, usually expressed as a percentage. The higher the plant power rate, the more power the power plant itself consumes, the less net output power, and the increased coal consumption. The lower the plant power rate, the less power the power plant itself consumes, the more net output power increases, and the coal consumption decreases. An increase in the plant power rate will result in a decrease in net output power. In order to maintain the same net output power, more coal is required to generate electricity, thereby increasing coal consumption. A decrease in the plant power rate will result in an increase in net output power, and the same amount of coal can produce more net output power, thereby reducing coal consumption.

[0055] Step 103: Generate a comprehensive change trend of the coal consumption corresponding to the direct air-cooling unit in the operating state according to the first change trend and the second change trend.

[0056] In the embodiment of the present application, the comprehensive change trend is the change trend obtained by combining the change trend of the vacuum degree affecting the coal consumption with the change trend of the power rate affecting the coal consumption.

[0057] Step 104: determine the operating state with the lowest coal consumption in the comprehensive change trend as the target operating state corresponding to the direct air-cooling unit.

[0058] It should be noted that operating in the target operating state with the lowest coal consumption can make equipment operation more efficient, reduce equipment wear and failure rate, thereby reducing maintenance and repair costs, and can also increase net output power and improve the overall power generation efficiency of the power plant.

[0059] Compared with the current existing technology, this embodiment determines the first change trend indicating the influence of vacuum on coal consumption and the second change trend indicating the influence of power rate on coal consumption of the direct air-cooling unit under the operating state through ambient temperature data, vacuum data, frequency data and coal consumption data; generates a comprehensive change trend of coal consumption corresponding to the direct air-cooling unit under the operating state based on the first change trend and the second change trend; determines the operating state with the lowest coal consumption in the comprehensive change trend as the target operating state corresponding to the direct air-cooling unit, and can comprehensively analyze the influence of turbine load, ambient temperature, air flow, etc. on the back pressure of the direct air-cooling unit during operation, and then determine the optimal operating state under the influence, thereby improving the stability of the operating state of the direct air-cooling unit and reducing the energy consumption of the direct air-cooling unit.

[0060] As a refinement and extension of the above embodiment, when obtaining the coal consumption data of the direct air-cooling unit in operation, the following methods may be used but are not limited to: Figure 2As shown, the method includes:

[0061] Step 201: Determine the number of fans included in the direct air cooling unit.

[0062] In the embodiment of the present application, the direct air cooling unit generally includes a plurality of fans, which are used to force air to flow through the air-cooled condenser to improve the cooling effect. The number and arrangement of the fans depend on the size, design requirements and cooling needs of the unit.

[0063] Step 202: Determine the coal consumption data based on the ambient temperature data and the number of fans.

[0064] Exemplarily, the process of determining the coal consumption data based on the ambient temperature data and the number of fans may include, but is not limited to, the following examples: First, determine the basic coal consumption at a standard ambient temperature (such as 25°C) and a standard number of fans (such as the design value). This can usually be obtained from the design data or historical operation data of the unit, and is not specifically limited here. According to the change in ambient temperature, calculate the ambient temperature correction factor. Usually, an empirical formula or experimental data can be used to determine the correction factor. For example, it is assumed that for every 1°C increase in ambient temperature, the coal consumption increases by 0.5%. According to the number of fans actually in operation, calculate the fan number correction factor. Usually, an empirical formula or experimental data can be used to determine the correction factor. For example, it is assumed that for every additional fan, the coal consumption increases by 0.2%, and so on.

[0065] Further, when determining the first change trend indicating that the vacuum degree affects the coal consumption and the second change trend indicating that the power rate affects the coal consumption of the direct air-cooling unit in the operating state based on the ambient temperature data, vacuum degree data, frequency data and coal consumption data, the following method may be used but is not limited to, and the method includes:

[0066] Step 11: Correct the vacuum degree data based on the ambient temperature data to obtain corrected vacuum degree data.

[0067] Optionally, when executing step 11, the following steps may be adopted but are not limited to:

[0068] Step 111: Analyze the ambient temperature data and the vacuum degree data to obtain a coefficient representing the influence of the ambient temperature on the vacuum degree.

[0069] Optionally, when executing step 111, the following steps may be adopted but are not limited to:

[0070] Step 1111, determine the mean value of the ambient temperature corresponding to the ambient temperature data, and determine the mean value of the vacuum degree corresponding to the vacuum degree data.

[0071] Step 1112: Determine the influence coefficient based on the average value of the ambient temperature and the average value of the vacuum degree.

[0072] In the embodiment of the present application, it is necessary to select a period of time when the environmental conditions are relatively stable, select the daily ambient temperature during the unit operation period and the corresponding unit vacuum, perform arithmetic averaging, and obtain the influence coefficient of the ambient temperature on the vacuum.

[0073] Step 112: Correct the vacuum degree data according to the influence coefficient to obtain corrected vacuum degree data.

[0074] Step 12: Determine the first change trend and the second change trend based on the corrected vacuum data, frequency data and coal consumption data.

[0075] Exemplarily, based on step 11, the fan frequency is adjusted in the range of 25 Hz to 50 Hz, with every 5 Hz being taken as a stable operating condition. Through the changes in vacuum and plant power consumption, the effects of vacuum changes on coal consumption and air-cooling fan power consumption changes on coal consumption are calculated.

[0076] Further, when determining the operation state with the lowest coal consumption in the comprehensive change trend as the target operation state corresponding to the direct air-cooling unit, the following method may be used but is not limited to, and the method includes:

[0077] Step 21, determine the target ambient temperature, target vacuum degree, target frequency and target number of fans corresponding to the operating state with the lowest coal consumption in the comprehensive change trend.

[0078] Step 22: Based on the target ambient temperature, the target vacuum degree, the target frequency and the target number of fans, a target operating state corresponding to the direct air cooling unit is formed.

[0079] Exemplarily, the present application obtains the influence coefficient of ambient temperature on vacuum; wherein, the ambient temperature is the test point corresponding to any ambient temperature and turbine electric power during the day when they are stable; for any ambient temperature, the influence coefficient of ambient temperature on vacuum is determined according to the turbine vacuum corresponding to the ambient temperature. The frequency interval of the air-cooling fan operation is adjusted to obtain the degree to which the change in the power consumption rate of the air-cooling fan and the change in vacuum affect the coal consumption. The change in the number of fan operations and the change in vacuum are compared to obtain the degree to which the power consumption rate of the air-cooling fan and the change in vacuum affect the coal consumption. The air-cooling fan is operated at a reduced frequency and some air-cooling fans are shut down to obtain the effect of the change in the power consumption rate of the air-cooling fan and the change in the vacuum of the unit on the coal consumption when the unit is running, and the economic difference between shutting down the fan and reducing the fan frequency is determined. Specifically, Figure 3 As shown, in the embodiment of the present application, the influence coefficient of the ambient temperature on the vacuum is first calculated by formula 1, and the formula 1 is specifically as follows:

[0080] Influence coefficient = (vacuum at the end of the test - vacuum at the beginning of the test) / (temperature at the end of the test - temperature at the beginning of the test)

[0081] (Formula 1)

[0082] based on Figure 3 The results show that when the unit load is 600MW, the average influence coefficient is -0.305KPA / ℃, that is, for every 1℃ increase in ambient temperature, the unit vacuum decreases by 0.305KPA.

[0083] Further, such as Figure 4 As shown in the figure, by changing the fan frequency, the effect of vacuum change on coal consumption, the effect of air-cooling fan power change on coal consumption, and the combined effect of the two on coal consumption are calculated, and the ambient temperature is added for correction. Figure 4 The results show that when the unit load is low, the air-cooling fan power consumption rate will increase the coal consumption, and the vacuum will reduce the coal consumption. Under this load, there is an optimal variable frequency fan frequency. In addition, the air-cooling unit also has a blocking back pressure. When the unit is running, it is necessary to ensure that the unit vacuum does not exceed this limit. If it exceeds this limit, even if the fan frequency is increased and the vacuum is improved, the unit economy will not improve, but will decrease due to the increase in the fan power consumption rate.

[0084] Further, such as Figure 5 As shown in the figure, the effect of the number of fans in operation on the economic performance of the direct air-cooling unit is compared. When the unit is at full load, some air-cooling fans are shut down to compare the changes in the unit's economic performance before and after the shutdown. Figure 5 The results show that for direct air-cooled units, the priority should be to ensure the vacuum of the unit, and then consider the impact of the plant power consumption rate.

[0085] Further, such as Figure 6 The fan frequency shown is in the range of 25Hz to 50Hz, with every 5Hz as one working condition, and the economy of reducing the frequency and stopping some fans is compared between adjacent 5Hz. The results show that under the same vacuum, the economy of stopping some fans is better than that of reducing the speed of all fans. However, as the fan frequency decreases, the difference between the two operating modes gradually decreases. There is basically no difference between the two working conditions of 25Hz and 30Hz. Through experiments, when the fan frequency is around 18Hz, the air volume above the radiator is already very small. If the fan works below this frequency, it is not meaningful. It can be considered to stop some fans when the vacuum is high and the fan frequency is 20Hz to improve the economy of the group. In addition, the speed difference between adjacent fans should not be too large. When the air-cooling fan is operating normally, the fan frequency should be kept the same as much as possible to avoid a large frequency difference (except for winter antifreeze).

[0086] It should be noted that the frequency of the air-cooling fan has a great impact on the economic efficiency of the unit. When the unit is fully loaded and the ambient temperature is greater than 2°C, the air-cooling fan should run at full speed; when the unit load is low, there is an optimal fan operating frequency. The air-cooling unit should give priority to ensuring the vacuum of the unit, and then consider the impact of the plant power consumption rate. When the air-cooling fan is operating normally, the frequency of all fans should be changed as much as possible when the vacuum is changed to avoid stopping the operation of some fans.

[0087] Compared with the current existing technology, this embodiment determines the first change trend indicating the influence of vacuum on coal consumption and the second change trend indicating the influence of power rate on coal consumption of the direct air-cooling unit under the operating state through ambient temperature data, vacuum data, frequency data and coal consumption data; generates a comprehensive change trend of coal consumption corresponding to the direct air-cooling unit under the operating state based on the first change trend and the second change trend; determines the operating state with the lowest coal consumption in the comprehensive change trend as the target operating state corresponding to the direct air-cooling unit, and can comprehensively analyze the influence of turbine load, ambient temperature, air flow, etc. on the back pressure of the direct air-cooling unit during operation, and then determine the optimal operating state under the influence, thereby improving the stability of the operating state of the direct air-cooling unit and reducing the energy consumption of the direct air-cooling unit.

[0088] Further, as Figure 1 and Figure 2 The specific implementation of the method shown in the embodiment provides a device for determining the running state, such as Figure 7 As shown, the device includes: an acquisition module 31, a determination module 32, and a generation module 33.

[0089] An acquisition module 31 is configured to acquire ambient temperature data, vacuum data, frequency data and coal consumption data of the direct air cooling unit in operation;

[0090] The determination module 32 is configured to determine, based on the ambient temperature data, the vacuum degree data, the frequency data and the coal consumption data, a first change trend indicating that the vacuum degree affects the coal consumption and a second change trend indicating that the power rate affects the coal consumption of the direct air cooling unit in the operating state;

[0091] A generating module 33 is configured to generate a comprehensive change trend of the coal consumption corresponding to the direct air cooling unit in the operating state according to the first change trend and the second change trend;

[0092] The determination module 32 is further configured to determine the operating state with the lowest coal consumption in the comprehensive change trend as the target operating state corresponding to the direct air cooling unit.

[0093] In some examples of this embodiment, the acquisition module 31 is specifically configured to determine the number of fans included in the direct air cooling unit; and determine the coal consumption data based on the ambient temperature data and the number of fans.

[0094] In some examples of this embodiment, the determination module 32 is specifically configured to correct the vacuum data based on the ambient temperature data to obtain corrected vacuum data; and determine the first change trend and the second change trend based on the corrected vacuum data, the frequency data and the coal consumption data.

[0095] In some examples of this embodiment, the determination module 32 is specifically configured to analyze the ambient temperature data and the vacuum degree data to obtain a coefficient representing the influence of the ambient temperature on the vacuum degree; and to correct the vacuum degree data according to the influence coefficient to obtain the corrected vacuum degree data.

[0096] In some examples of this embodiment, the determination module 32 is specifically configured to determine the mean ambient temperature corresponding to the ambient temperature data, and determine the mean vacuum degree corresponding to the vacuum degree data; and determine the influence coefficient based on the mean ambient temperature and the mean vacuum degree.

[0097] In some examples of this embodiment, the determination module 32 is specifically configured to determine the target ambient temperature, target vacuum degree, target frequency and target number of fans corresponding to the operating state with the lowest coal consumption in the comprehensive change trend; based on the target ambient temperature, the target vacuum degree, the target frequency and the target number of fans, the target operating state corresponding to the direct air cooling unit is constructed.

[0098] It should be noted that for other corresponding descriptions of the functional units involved in the device for determining an operating state provided in this embodiment, reference can be made to Figure 1 and Figure 2 The corresponding description in will not be repeated here.

[0099] Based on the above Figure 1 and Figure 2 The method shown in the embodiment also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned Figure 1 and Figure 2 The method shown.

[0100] Based on this understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, USB flash drive, mobile hard disk, etc.), including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of various implementation scenarios of the present application.

[0101] like Figure 8 The figure shows a hardware structure diagram of an electronic device of the present invention, including:

[0102] at least one processor 401; and,

[0103] A memory 402 is communicatively connected to at least one of the processors 401; wherein,

[0104] The memory 402 stores instructions that can be executed by at least one of the processors. The instructions are executed by at least one of the processors to enable the at least one of the processors to perform the method for determining the operating status as described above.

[0105] Figure 8 A processor 401 is taken as an example.

[0106] The electronic device may further include: an input device 403 and a display device 404 .

[0107] The processor 401, the memory 402, the input device 403 and the display device 404 may be connected via a bus or other means. Figure 8 The example of connecting through bus is taken in the following.

[0108] The memory 402 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as program instructions / modules corresponding to the method for determining the operating status in the embodiment of the present application, for example, Figure 1 and Figure 2 The processor 401 executes various functional applications and data processing by running the non-volatile software programs, instructions and modules stored in the memory 402, that is, the method for determining the operating state in the above embodiment is implemented.

[0109] The memory 402 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required by at least one function; the data storage area may store data created according to the use of the method for determining the running state, etc. In addition, the memory 402 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 402 may optionally include a memory remotely arranged relative to the processor 401, and these remote memories may be connected to a device for executing the method for determining the running state via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0110] The input device 403 can receive user clicks and generate signal inputs related to user settings of the method for determining the operating state and function control. The display device 404 can include display devices such as a display screen.

[0111] The one or more modules are stored in the memory 402, and when executed by the one or more processors 401, the method for determining the operating status in any of the above method embodiments is executed.

[0112] Optionally, the above-mentioned physical device may also include a user interface, a network interface, a camera, a radio frequency (RF) circuit, a sensor, an audio circuit, a WI-FI module, etc. The user interface may include a display, an input unit such as a keyboard, etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a WI-FI interface), etc.

[0113] Those skilled in the art will appreciate that the above-mentioned physical device structure provided in this embodiment does not constitute a limitation on the physical device, and may include more or fewer components, or a combination of certain components, or different arrangements of components.

[0114] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the above-mentioned physical device, and supports the operation of the information processing program and other software and / or programs. The network communication module is used to realize the communication between the components inside the storage medium, and the communication with other hardware and software in the information processing physical device.

[0115] Through the description of the above implementation methods, the technical personnel in this field can clearly understand that the present application can be implemented by means of software plus the necessary general hardware platform, or by hardware. By applying the scheme of this embodiment, compared with the current prior art, this embodiment determines the first change trend indicating that the vacuum affects the coal consumption and the second change trend indicating that the power rate affects the coal consumption in the operating state of the direct air-cooling unit through ambient temperature data, vacuum data, frequency data and coal consumption data; based on the first change trend and the second change trend, a comprehensive change trend of the coal consumption corresponding to the direct air-cooling unit in the operating state is generated; the operating state with the lowest coal consumption in the comprehensive change trend is determined as the target operating state corresponding to the direct air-cooling unit, and the back pressure of the direct air-cooling unit during operation can be comprehensively analyzed to be affected by the turbine load, ambient temperature, air flow, etc., and then the optimal operating state under the influence is determined, the stability of the operating state of the direct air-cooling unit is improved, and the energy consumption of the direct air-cooling unit is reduced.

[0116] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0117] The above is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features applied for herein.

Claims

1. A method for determining an operating state, characterized in that: include: Obtain ambient temperature data, vacuum data, frequency data and coal consumption data of direct air-cooling units in operation; Based on the ambient temperature data, the vacuum degree data, the frequency data and the coal consumption data, determining a first change trend indicating that the vacuum degree affects the coal consumption and a second change trend indicating that the power factor affects the coal consumption when the direct air cooling unit is in operation; According to the first change trend and the second change trend, a comprehensive change trend of the coal consumption corresponding to the direct air cooling unit in the operating state is generated; The operating state with the lowest coal consumption in the comprehensive change trend is determined as the target operating state corresponding to the direct air cooling unit.

2. The method according to claim 1, characterized in that Obtain coal consumption data of direct air-cooled units in operation, including: Determining the number of fans included in the direct air cooling unit; The coal consumption data is determined based on the ambient temperature data and the number of fans.

3. The method according to claim 2, characterized in that The determining, based on the ambient temperature data, the vacuum degree data, the frequency data and the coal consumption data, of a first change trend indicating that the vacuum degree affects the coal consumption and a second change trend indicating that the power rate affects the coal consumption of the direct air cooling unit in the operating state, comprises: Correcting the vacuum degree data based on the ambient temperature data to obtain corrected vacuum degree data; The first change trend and the second change trend are determined based on the corrected vacuum degree data, the frequency data and the coal consumption data.

4. The method according to claim 3, characterized in that The step of correcting the vacuum degree data based on the ambient temperature data to obtain the corrected vacuum degree data includes: Analyzing the ambient temperature data and the vacuum degree data to obtain a coefficient representing the influence of the ambient temperature on the vacuum degree; The vacuum degree data is corrected according to the influence coefficient to obtain the corrected vacuum degree data.

5. The method according to claim 4, characterized in that The analysis of the ambient temperature data and the vacuum degree data to obtain a coefficient indicating the influence of the ambient temperature on the vacuum degree includes: Determine an average value of the ambient temperature corresponding to the ambient temperature data, and determine an average value of the vacuum degree corresponding to the vacuum degree data; The influence coefficient is determined according to the average value of the ambient temperature and the average value of the vacuum degree.

6. The method according to claim 5, characterized in that The step of determining the operating state with the lowest coal consumption in the comprehensive change trend as the target operating state corresponding to the direct air cooling unit includes: Determine the target ambient temperature, target vacuum degree, target frequency and target number of fans corresponding to the operating state with the lowest coal consumption in the comprehensive change trend; Based on the target ambient temperature, the target vacuum degree, the target frequency and the target number of fans, a target operating state corresponding to the direct air cooling unit is constructed.

7. A device for determining an operating state, characterized in that: include: An acquisition module is configured to acquire ambient temperature data, vacuum data, frequency data and coal consumption data of the direct air-cooling unit in operation; a determination module configured to determine, based on the ambient temperature data, the vacuum degree data, the frequency data and the coal consumption data, a first change trend indicating that the vacuum degree affects the coal consumption and a second change trend indicating that the power rate affects the coal consumption of the direct air cooling unit in an operating state; A generating module, configured to generate a comprehensive change trend of the coal consumption corresponding to the direct air-cooling unit in an operating state according to the first change trend and the second change trend; The determination module is also configured to determine the operating state with the lowest coal consumption in the comprehensive change trend as the target operating state corresponding to the direct air-cooling unit.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

9. An electronic device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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