Liquid-compressed air backup system

Abstract

The present invention relates to the technical field of liquid-compressed air. Specifically disclosed is a liquid-compressed air backup system, comprising: a first calculation module, used for calculating energy consumption influence degrees of all device operating parameters of each type of device at the current moment; a second calculation module, used for calculating yield influence degrees of all the device operating parameters of each type of device at the current moment; a construction module, used for obtaining regulation values of all the device operating parameters of each type of device at the current moment on the basis of the energy consumption influence degrees and the yield influence degrees of all the device operating parameters of each type of device at the current moment; and a control module, used for obtaining an optimal liquid-compressed air backup result on the basis of the regulation values of all the device operating parameters of all types of devices at the current moment. In the present invention, two aspects of energy consumption and liquid nitrogen yield are comprehensively considered, so that all the devices of the liquid-compressed air backup system are accurately regulated, thereby achieving an optimal liquid-compressed air backup result.

Description

A liquid compressed air backup system Technical Field

[0001] This invention relates to the field of liquid compressed air technology, and in particular to a liquid compressed air backup system. Background Technology

[0002] Currently, liquid compressed air backup systems utilize liquids (such as water or other working media) to assist or control the storage, transmission, and release of compressed air, and are commonly used for liquid nitrogen production. In industrial production, energy consumption is a significant component of operating costs. For energy-intensive industries like liquid nitrogen production, effectively reducing energy consumption and improving energy efficiency are crucial for lowering overall operating costs and enhancing competitiveness. Liquid nitrogen production output is a key indicator of the performance of liquid nitrogen production equipment. Maintaining stable liquid nitrogen production output and maximizing production efficiency are essential for meeting market demand and reducing production waste. The liquid nitrogen production process involves various equipment (such as air compressors, coolers, distillation columns, and liquefaction units) and multiple operating parameters (such as output pressure, speed, and cooling temperature). These parameters interact and collectively determine the energy consumption and liquid nitrogen output of the liquid compressed air backup system.

[0003] However, traditional equipment control methods are often based on experience or simple threshold judgments, making it difficult to accurately quantify the impact of each operating parameter on energy consumption and output. This leads to unsatisfactory control effects and may cause problems such as increased energy consumption and decreased output. While pursuing energy reduction, the stability of liquid nitrogen production also needs to be considered. Finding a balance between the two and achieving comprehensive optimization is a major challenge in the field of liquid nitrogen production. Therefore, how to comprehensively consider both energy consumption and liquid nitrogen output to achieve precise control of all equipment in the liquid compressed air backup system and achieve optimal liquid compressed air backup results has become a major challenge in liquid nitrogen production using liquid compressed air backup systems.

[0004] Therefore, the present invention proposes a liquid compressed air backup system. Summary of the Invention

[0005] This invention provides a liquid compressed air backup system. Based on the processing parameters and energy consumption values ​​of all types of equipment operating parameters at all times within a preset time period prior to the current time, it obtains the energy consumption impact of the operating parameters of each type of equipment at the current time. This achieves precise quantification of the influence of the operating parameters of each type of equipment on the equipment's energy consumption at the current time. Furthermore, based on the processing parameters of all types of equipment operating parameters at all times within the preset time period prior to the current time and the liquid nitrogen production at all times within the preset time period prior to the current time, it obtains the production impact of the operating parameters of each type of equipment at the current time. This achieves precise quantification of the influence of the operating parameters of each type of equipment on the liquid nitrogen production at the current time. Therefore, based on the operating parameters of each type of equipment... The system prepares the processing parameters of all types of equipment operating parameters at all times within a preset time period before the current time, and the energy consumption and output impact of the operating parameters of all types of equipment at the current time. It then obtains the equipment analysis matrix for each type of equipment at the current time, and based on this matrix, accurately obtains the control values ​​of all types of equipment operating parameters for each type of equipment at the current time. This facilitates the subsequent acquisition of the optimal liquid compressed air backup result. Finally, based on the control values ​​of all types of equipment operating parameters at the current time, the optimal liquid compressed air backup result is obtained. This achieves precise control of all equipment by comprehensively considering both energy consumption and liquid nitrogen production, resulting in the optimal liquid compressed air backup result and reducing overall operating costs.

[0006] This invention provides a liquid compressed air backup system, comprising:

[0007] The processing module is used to obtain the processing parameters of the operation parameters of all types of devices at each time within a preset time period before the current time, based on the operation parameters of all types of devices at each time within a preset time period before the current time.

[0008] The first calculation module is used to obtain the energy consumption impact of the operating parameters of all types of devices at the current moment based on the processing parameters and energy consumption values ​​of the operating parameters of all types of devices at all times within the preset time period before the current moment.

[0009] The second calculation module is used to obtain the production impact of the operating parameters of all types of equipment at the current moment based on the processing parameters of the operating parameters of all types of equipment at all moments within the preset time period before the current moment and the liquid nitrogen production at all moments within the preset time period before the current moment.

[0010] The module is used to obtain the equipment analysis matrix of each type of equipment at the current moment based on the processing parameters of the operation parameters of all types of equipment at all times within the preset time period before the current moment, and the energy consumption impact and output impact of the operation parameters of all types of equipment at the current moment. Based on the equipment analysis matrix of each type of equipment at the current moment, the control value of the operation parameters of all types of equipment at the current moment is obtained.

[0011] The control module is used to obtain the optimal liquid compressed air standby result based on the adjustment values ​​of the operating parameters of all types of equipment at the current moment.

[0012] Preferably, the liquid compressed air backup system includes a processing module comprising:

[0013] The first acquisition submodule is used to acquire the operating parameters of all types of devices at each time within a preset time period before the current time. The all types of devices include air compressors, coolers, distillation columns, and liquefiers. The operating parameters of all types of devices for air compressors include output pressure and speed. The operating parameters of all types of devices for coolers include cooling temperature and cooling medium flow rate. The operating parameters of all types of devices for distillation columns include operating pressure and reflux ratio. The operating parameters of all types of devices for liquefiers include liquefaction pressure and cooling capacity.

[0014] The processing submodule is used to obtain the processing parameters of the operation parameters of all types of devices at each moment within the preset time period before the current moment, based on the operation parameters of all types of devices at all moments within the preset time period before the current moment.

[0015] Preferably, the liquid compressed air backup system includes a processing submodule comprising:

[0016] The first processing unit is used to determine whether the difference between the operating parameters of each type of device at each time within a preset time period before the current time and the operating parameters of the corresponding type of device at all adjacent times of the corresponding time is greater than the preset difference of the operating parameters of the corresponding type of device. If so, the average value of the operating parameters of the corresponding type of device at all adjacent times of the corresponding time is used as the processing parameter of the corresponding type of device at the corresponding time. Otherwise, the operating parameters of the corresponding type of device at the corresponding time are used as the processing parameter of the corresponding type of device at the corresponding time. When the difference between the operating parameters of each type of device at each time within a preset time period before the current time and the operating parameters of the corresponding type of device at only one adjacent time of the corresponding time is greater than the preset difference of the operating parameters of the corresponding type of device, the corresponding time is used as the transition time of the operating parameters of the corresponding type of device within the preset time period before the current time.

[0017] The second processing unit is used to take the corresponding device operation parameter with more transition times among all device operation parameters within a preset time period before the current time as the first device operation parameter of the corresponding device, and to take the corresponding device operation parameter with fewer transition times among all device operation parameters within a preset time period before the current time as the second device operation parameter of the corresponding device.

[0018] Preferably, in the liquid compressed air backup system, the first calculation module includes:

[0019] The first analysis submodule is used to take the values ​​of the processing parameters of the operation parameters of each type of device at all times within a preset time period before the current time as the horizontal axis value, and the energy consumption value of the corresponding type of device at the corresponding time as the vertical axis value, to obtain all energy consumption points of the operation parameters of each type of device within the preset time period before the current time. The energy consumption point corresponding to the current time among all energy consumption points of the operation parameters of each type of device within the preset time period before the current time is taken as the observation energy consumption point of the operation parameters of the corresponding type of device within the preset time period before the current time. The remaining energy consumption points among all energy consumption points of the operation parameters of each type of device within the preset time period before the current time, excluding the observation energy consumption points of the operation parameters of the corresponding type of device within the preset time period before the current time, are taken as the reference energy consumption points of the operation parameters of the corresponding type of device within the preset time period before the current time.

[0020] The first calculation submodule is used to obtain the energy consumption impact of each type of device's operating parameters at the current moment based on all reference energy consumption points and observed energy consumption points of each type of device's operating parameters within a preset time period before the current moment.

[0021] Preferably, in the liquid compressed air backup system, the first calculation submodule includes:

[0022] The first analysis unit is used to take the distance between each reference energy consumption point of each type of device's operating parameters within a preset time period before the current time and the origin of the coordinate system as the coordinate distance of the corresponding reference energy consumption point of the corresponding type of device's operating parameters within the preset time period before the current time, and to take the distance between the observed energy consumption point of each type of device's operating parameters within a preset time period before the current time and the origin of the coordinate system as the coordinate distance of the observed energy consumption point of the corresponding type of device's operating parameters within the preset time period before the current time.

[0023] The second analysis unit is used to take the distance between each reference energy consumption point of each type of equipment operation parameter within a preset time period before the current time and the observed energy consumption point of the corresponding type of equipment operation parameter within the preset time period before the current time as the reference distance of the corresponding reference energy consumption point of the corresponding type of equipment operation parameter within the preset time period before the current time, and to take the quotient of the coordinate distance and the reference distance of each reference energy consumption point of each type of equipment operation parameter within the preset time period before the current time as the reference quotient of the corresponding reference energy consumption point of the corresponding type of equipment operation parameter within the preset time period before the current time.

[0024] The calculation unit is used to obtain the energy consumption impact of each type of equipment at the current moment based on the coordinate distance, reference distance, and reference quotient of all reference energy consumption points of each type of equipment within a preset time period before the current moment. This impact is:

[0025] Where β represents the energy consumption impact of the current computing device's operating parameters at the current moment, n represents the number of reference energy consumption points for the current computing device's operating parameters within a preset time period prior to the current moment, z0 represents the coordinate distance of the observed energy consumption points for the current computing device's operating parameters within the preset time period prior to the current moment, and s z Let γ be the sum of the coordinate distances of all reference energy consumption points of the current computing device's operating parameters within a preset time period before the current time, let γ be the sum of the reference quotients of all reference energy consumption points of the current computing device's operating parameters within a preset time period before the current time, let σ1 be the standard deviation of the coordinate distances of all reference energy consumption points of the current computing device's operating parameters within a preset time period before the current time, let σ2 be the standard deviation of the reference distances of all reference energy consumption points of the current computing device's operating parameters within a preset time period before the current time, let ln be the natural logarithm, and let the natural constant e be 2.718.

[0026] Preferably, in the liquid compressed air backup system, the second calculation module includes:

[0027] The second acquisition submodule is used to acquire the liquid nitrogen production of each type of equipment at all times within a preset time period before the current time.

[0028] The second calculation submodule is used to obtain the output impact of each type of equipment at the current moment based on the processing parameters and liquid nitrogen production of each type of equipment at all times within a preset time period before the current moment.

[0029] Preferably, in the liquid compressed air backup system, the second calculation submodule obtains the production impact of each type of equipment's operating parameters at the current moment based on the processing parameters and liquid nitrogen production of each type of equipment at all times within a preset time period prior to the current moment, including:

[0030] Where δ represents the output impact of the current computing device's operating parameters at the current moment, m represents the number of all moments within the preset time period preceding the current moment, c represents the value of the processing parameter of the current computing device's operating parameters at the current moment, c0 represents the mean value of the processing parameter of the current computing device's operating parameters across all moments within the preset time period preceding the current moment, σ0 represents the standard deviation of the processing parameter values ​​of the current computing device's operating parameters across all moments within the preset time period preceding the current moment, and c max c is the maximum value of the processing parameters of the current computing device's operation parameters at all times within a preset time period prior to the current time. min Let d be the minimum value of the processing parameters of the current computing device at all times within a preset time period prior to the current time, and let d be the value of the liquid nitrogen output of the current computing device at the current time. max d represents the maximum value of the liquid nitrogen production at any given moment within a preset time period prior to the current moment for the current computing device. min The value is the minimum of the liquid nitrogen production values ​​of the current computing device at all times within a preset time period before the current time. ln is the natural logarithm, and the natural constant e is 2.718.

[0031] Preferably, the liquid compressed air backup system, comprising the following modules:

[0032] A submodule is constructed to obtain the equipment analysis matrix for each type of equipment at the current moment, based on the processing parameters, energy consumption impact, and output impact of the operating parameters of all types of equipment at all times within a preset time period before the current moment.

[0033] The second analysis submodule is used to sequentially delete each column element of the device analysis matrix for each type of device at the current time to obtain all new matrices for each type of device at the current time. The new matrix with the largest rank among all the new matrices for each type of device at the current time is used as the control matrix for each type of device at the current time. The processing parameters of the operation parameters of each type of device at the time corresponding to the deleted column element of the control matrix for each type of device at the current time are used as the control values ​​of the operation parameters of the corresponding type of device at the current time.

[0034] Preferably, for the liquid compressed air backup system, the method for constructing a sub-module to obtain the equipment analysis matrix for each type of equipment at the current moment based on the processing parameters, energy consumption impact, and output impact of the operating parameters of all types of equipment at all times within a preset time period before the current moment includes:

[0035] Where E is the device analysis matrix of the current computing device at the current moment, c1 is the value of the processing parameter of the first device operation parameter of the current computing device at the first moment within the preset time period before the current moment, c2 is the value of the processing parameter of the first device operation parameter of the current computing device at the second moment within the preset time period before the current moment, and c m β represents the value of the processing parameter of the first device operation parameter at the m-th time within a preset time period before the current time for the current computing device, where m is the number of all times within the preset time period before the current time. p δ represents the energy consumption impact of the first device operating parameter of the current computing device at the current moment. p The output impact of the first operating parameter of the current computing device at the current moment.

[0036] Preferably, in a liquid compressed air backup system, the control module obtains the optimal liquid compressed air backup result based on the adjustment values ​​of the operating parameters of all types of equipment at the current moment, including:

[0037] The operating parameters of each type of equipment at the next time step are adjusted to be the same as the control values ​​of the corresponding operating parameters of the corresponding type of equipment at the current time step, so as to obtain the best liquid compressed air standby result.

[0038] The beneficial effects of this invention compared to existing technologies are as follows: Based on the processing parameters and energy consumption values ​​of all types of equipment operating parameters at all times within a preset time period prior to the current time, the energy consumption impact of the operating parameters of all types of equipment at the current time is obtained, achieving precise quantification of the influence of the operating parameters of each type of equipment on the equipment's energy consumption at the current time. Furthermore, based on the processing parameters of all types of equipment operating parameters at all times within a preset time period prior to the current time and the liquid nitrogen production at all times within the preset time period prior to the current time, the production impact of the operating parameters of all types of equipment at the current time is obtained, achieving precise quantification of the influence of the operating parameters of each type of equipment on the liquid nitrogen production at the current time. Therefore, based on the operating parameters of each type of equipment... The system prepares the processing parameters of all types of equipment operating parameters at all times within a preset time period before the current time, and the energy consumption and output impact of the operating parameters of all types of equipment at the current time. It then obtains the equipment analysis matrix for each type of equipment at the current time, and based on this matrix, accurately obtains the control values ​​of all types of equipment operating parameters for each type of equipment at the current time. This facilitates the subsequent acquisition of the optimal liquid compressed air backup result. Finally, based on the control values ​​of all types of equipment operating parameters at the current time, the optimal liquid compressed air backup result is obtained. This achieves precise control of all equipment by comprehensively considering both energy consumption and liquid nitrogen production, resulting in the optimal liquid compressed air backup result and reducing overall operating costs.

[0039] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written documents of this application.

[0040] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0041] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0042] Figure 1 is a schematic diagram of a liquid compressed air backup system according to an embodiment of the present invention;

[0043] Figure 2 is a schematic diagram of the processing module in an embodiment of the present invention. Detailed Implementation

[0044] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0045] Example 1:

[0046] This invention provides a liquid compressed air backup system, referring to Figure 1, comprising:

[0047] The processing module is used to obtain the processing parameters of the operation parameters of all types of devices at each time within a preset time period before the current time, based on the operation parameters of all types of devices at each time within a preset time period before the current time.

[0048] The first calculation module is used to obtain the energy consumption impact of the operating parameters of all types of devices at the current moment based on the processing parameters and energy consumption values ​​of the operating parameters of all types of devices at all times within the preset time period before the current moment.

[0049] The second calculation module is used to obtain the production impact of the operating parameters of all types of equipment at the current moment based on the processing parameters of the operating parameters of all types of equipment at all moments within the preset time period before the current moment and the liquid nitrogen production at all moments within the preset time period before the current moment.

[0050] The module is used to obtain the equipment analysis matrix of each type of equipment at the current moment based on the processing parameters of the operation parameters of all types of equipment at all times within the preset time period before the current moment, and the energy consumption impact and output impact of the operation parameters of all types of equipment at the current moment. Based on the equipment analysis matrix of each type of equipment at the current moment, the control value of the operation parameters of all types of equipment at the current moment is obtained.

[0051] The control module is used to obtain the optimal liquid compressed air standby result based on the adjustment values ​​of the operating parameters of all types of equipment at the current moment.

[0052] In this embodiment, all types of equipment refer to all relevant equipment used in the liquid compressed air backup system to achieve high-efficiency liquid nitrogen preparation, including air compressors, coolers, distillation columns, and liquefiers.

[0053] In this embodiment, the preset time period is a pre-set time period used to obtain operating parameters of all types of devices, such as 60 minutes.

[0054] In this embodiment, each moment is a moment selected from a preset time period before the current moment, and the time length between each adjacent moment is the same. The current moment is also a moment selected from a preset time period before the current moment.

[0055] In this embodiment, the processing parameters of the device operation parameters are obtained based on the operation parameters of each type of device at all times within a preset time period before the current time. These parameters can truly reflect the operation status of each type of device at each time within the preset time period before the current time.

[0056] In this embodiment, the energy consumption value is the energy consumption recorded at each moment within a preset time period before the current moment for each type of device.

[0057] In this embodiment, the energy consumption impact is a numerical value obtained based on the processing parameters and energy consumption values ​​of the operating parameters of each type of device at all times within a preset time period before the current time. This value characterizes the degree of influence of the operating parameters of each type of device on the energy consumption of the device at the current time.

[0058] In this embodiment, the liquid nitrogen production is the amount of liquid nitrogen produced by the liquid compressed air backup system at each moment within a preset time period before the current moment (within 1 second of each unit time before each moment), and the unit of liquid nitrogen production is m. 3 .

[0059] In this embodiment, the production impact is a numerical value obtained based on the processing parameters of the operating parameters of each type of equipment at all times within a preset time period before the current time and the liquid nitrogen production at all times within the preset time period before the current time, which can characterize the degree of influence of the operating parameters of each type of equipment on the liquid nitrogen production at the current time.

[0060] In this embodiment, the device analysis matrix for each type of device at the current moment is a matrix that can be used to analyze the control values ​​of all types of device operation parameters for each type of device at the current moment.

[0061] In this embodiment, the adjustment value of the device operation parameter is obtained based on the device analysis matrix of each type of device at the current moment. It is used to guide the adjustment of the device operation parameters of each type of device after the current moment (i.e., the next moment) in order to achieve the expected operating state or performance.

[0062] In this embodiment, the optimal liquid compressed air backup result is obtained by adjusting the operating parameters of each type of equipment at the current moment to the next moment, so that they are the same as the control values ​​of the corresponding type of equipment at the current moment.

[0063] The beneficial effects of the above technology are as follows: Based on the processing parameters and energy consumption values ​​of the operating parameters of all types of equipment at all times within a preset time period before the current time, the energy consumption impact of the operating parameters of all types of equipment at the current time is obtained, achieving precise quantification of the impact of the operating parameters of each type of equipment on the equipment energy consumption at the current time. Based on the processing parameters of the operating parameters of all types of equipment at all times within a preset time period before the current time and the liquid nitrogen production at all times within a preset time period before the current time, the production impact of the operating parameters of all types of equipment at the current time is obtained, achieving precise quantification of the impact of the operating parameters of each type of equipment on the liquid nitrogen production at the current time. Furthermore, based on the processing parameters of the operating parameters of all types of equipment at all times within a preset time period before the current time and the liquid nitrogen production at all times within a preset time period before the current time, the production impact of the operating parameters of all types of equipment at the current time is obtained, achieving precise quantification of the impact of the operating parameters of each type of equipment on the liquid nitrogen production at the current time. The system calculates the processing parameters of all types of equipment operating parameters within a preset time period, along with the energy consumption and output impact of these parameters at the current time. This yields an equipment analysis matrix for each type of equipment at the current time. Based on this matrix, the system accurately determines the control values ​​of all types of equipment operating parameters for each type of equipment at the current time. This facilitates the subsequent acquisition of optimal liquid compressed air backup results. Finally, based on the control values ​​of all types of equipment operating parameters at the current time, the optimal liquid compressed air backup result is obtained. This approach comprehensively considers both energy consumption and liquid nitrogen production to achieve precise control of all equipment, resulting in optimal liquid compressed air backup and reduced overall operating costs.

[0064] Example 2:

[0065] Based on Example 1, the liquid compressed air backup system, processing module, as shown in Figure 2, includes:

[0066] The first acquisition submodule is used to acquire the operating parameters of all types of devices at each time within a preset time period before the current time. The all types of devices include air compressors, coolers, distillation columns, and liquefiers. The operating parameters of all types of devices for air compressors include output pressure and speed. The operating parameters of all types of devices for coolers include cooling temperature and cooling medium flow rate. The operating parameters of all types of devices for distillation columns include operating pressure and reflux ratio. The operating parameters of all types of devices for liquefiers include liquefaction pressure and cooling capacity.

[0067] The processing submodule is used to obtain the processing parameters of the operation parameters of all types of devices at each moment within the preset time period before the current moment, based on the operation parameters of all types of devices at all moments within the preset time period before the current moment.

[0068] In this embodiment, the air compressor is a specialized device that uses an electric motor, diesel engine, or other power machinery to increase gas pressure or transport gas by compressing air.

[0069] In this embodiment, the cooler is a heat exchange device that uses water or air as a coolant to remove heat.

[0070] In this embodiment, the distillation column is a device that uses the property that the components in a mixture have different volatility, that is, the vapor pressures of the components are different at the same temperature, to separate the mixture.

[0071] In this embodiment, a liquefier is a machine that turns gas into liquid.

[0072] In this embodiment, the output pressure is the pressure value reached by the air compressor after compressing the air during operation, and the unit of output pressure is Pascal.

[0073] In this embodiment, the rotational speed is the number of revolutions per minute of the air compressor spindle or crankshaft, and the unit of rotational speed is "revolutions per minute" (r / min).

[0074] In this embodiment, the cooling temperature is the temperature reached by the cooling medium after heat is transferred from the cooled medium to the cooling medium through heat exchange during the operation of the cooler, and the unit of cooling temperature is degrees Celsius.

[0075] In this embodiment, the cooling medium flow rate is the volume of cooling medium passing through the cooler per unit time, and the unit of cooling medium flow rate is cubic meters per hour (m³ / h). 3 / h).

[0076] In this embodiment, the operating pressure is the pressure difference between the top and bottom of the distillation column, and the unit of operating pressure is Pascal.

[0077] In this embodiment, the reflux ratio is the ratio of the amount of liquid flowing down the distillation column to the amount of liquid distilled from the top of the column.

[0078] In this embodiment, the liquefaction pressure is the pressure required for the gas to be compressed to a sufficiently low temperature to transform it into a liquid state during the liquefaction process, and the unit of liquefaction pressure is Pascal.

[0079] In this embodiment, the cooling capacity is the amount of heat absorbed by the liquefier from the cooling medium (such as gas) per unit time, and the unit of cooling capacity is kilowatt (kW).

[0080] The beneficial effects of the above technology are: it clarifies the specific parameter items of all types of equipment and all types of equipment operation parameters of each type of equipment, which facilitates the subsequent acquisition of the processing parameters of all types of equipment operation parameters of each type of equipment at each moment within the preset time period before the current moment, based on the all types of equipment operation parameters of each type of equipment at all moments within the preset time period before the current moment.

[0081] Example 3:

[0082] Based on Example 2, the liquid compressed air backup system includes a processing submodule, comprising:

[0083] The first processing unit is used to determine whether the difference between the operating parameters of each type of device at each time within a preset time period before the current time and the operating parameters of the corresponding type of device at all adjacent times of the corresponding time is greater than the preset difference of the operating parameters of the corresponding type of device. If so, the average value of the operating parameters of the corresponding type of device at all adjacent times of the corresponding time is used as the processing parameter of the corresponding type of device at the corresponding time. Otherwise, the operating parameters of the corresponding type of device at the corresponding time are used as the processing parameter of the corresponding type of device at the corresponding time. When the difference between the operating parameters of each type of device at each time within a preset time period before the current time and the operating parameters of the corresponding type of device at only one adjacent time of the corresponding time is greater than the preset difference of the operating parameters of the corresponding type of device, the corresponding time is used as the transition time of the operating parameters of the corresponding type of device within the preset time period before the current time.

[0084] The second processing unit is used to take the corresponding device operation parameter with more transition times among all device operation parameters within a preset time period before the current time as the first device operation parameter of the corresponding device, and to take the corresponding device operation parameter with fewer transition times among all device operation parameters within a preset time period before the current time as the second device operation parameter of the corresponding device.

[0085] In this embodiment, the preset difference value is a pre-set threshold value for the difference of the processing parameters used to obtain the operating parameters of each type of device at each time within a preset time period before the current time, and each type of device operating parameter corresponds to a preset difference value.

[0086] The beneficial effects of the above technology are as follows: It provides a detailed method for obtaining the processing parameters of the operation parameters of all types of devices at each moment within the preset time period before the current moment, based on the operation parameters of all types of devices at all moments within the preset time period before the current moment. It also clarifies the method for determining the transition time of the operation parameters of all types of devices within the preset time period before the current moment, thereby determining the first and second device operation parameters of each type of device, which facilitates the construction of the subsequent device analysis matrix.

[0087] Example 4:

[0088] Based on Example 1, the liquid compressed air backup system, the first calculation module, includes:

[0089] The first analysis submodule is used to take the values ​​of the processing parameters of the operation parameters of each type of device at all times within a preset time period before the current time as the horizontal axis value, and the energy consumption value of the corresponding type of device at the corresponding time as the vertical axis value, to obtain all energy consumption points of the operation parameters of each type of device within the preset time period before the current time. The energy consumption point corresponding to the current time among all energy consumption points of the operation parameters of each type of device within the preset time period before the current time is taken as the observation energy consumption point of the operation parameters of the corresponding type of device within the preset time period before the current time. The remaining energy consumption points among all energy consumption points of the operation parameters of each type of device within the preset time period before the current time, excluding the observation energy consumption points of the operation parameters of the corresponding type of device within the preset time period before the current time, are taken as the reference energy consumption points of the operation parameters of the corresponding type of device within the preset time period before the current time.

[0090] The first calculation submodule is used to obtain the energy consumption impact of each type of device's operating parameters at the current moment based on all reference energy consumption points and observed energy consumption points of each type of device's operating parameters within a preset time period before the current moment.

[0091] The beneficial effects of the above technology are as follows: Based on the processing parameters and energy consumption values ​​of the operating parameters of each type of equipment at all times within a preset time period before the current time, all reference energy consumption points and observed energy consumption points of the operating parameters of each type of equipment within the preset time period before the current time are obtained, thereby obtaining the energy consumption influence degree of the operating parameters of each type of equipment at the current time. This embodiment provides a detailed method for determining all reference energy consumption points and observed energy consumption points of the operating parameters of each type of equipment within a preset time period before the current time.

[0092] Example 5:

[0093] Based on Example 4, the liquid compressed air backup system, the first calculation submodule, includes:

[0094] The first analysis unit is used to take the distance between each reference energy consumption point of each type of device's operating parameters within a preset time period before the current time and the origin of the coordinate system as the coordinate distance of the corresponding reference energy consumption point of the corresponding type of device's operating parameters within the preset time period before the current time, and to take the distance between the observed energy consumption point of each type of device's operating parameters within a preset time period before the current time and the origin of the coordinate system as the coordinate distance of the observed energy consumption point of the corresponding type of device's operating parameters within the preset time period before the current time.

[0095] The second analysis unit is used to take the distance between each reference energy consumption point of each type of equipment operation parameter within a preset time period before the current time and the observed energy consumption point of the corresponding type of equipment operation parameter within the preset time period before the current time as the reference distance of the corresponding reference energy consumption point of the corresponding type of equipment operation parameter within the preset time period before the current time, and to take the quotient of the coordinate distance and the reference distance of each reference energy consumption point of each type of equipment operation parameter within the preset time period before the current time as the reference quotient of the corresponding reference energy consumption point of the corresponding type of equipment operation parameter within the preset time period before the current time.

[0096] The calculation unit is used to obtain the energy consumption impact of each type of equipment at the current moment based on the coordinate distance, reference distance, and reference quotient of all reference energy consumption points of each type of equipment within a preset time period before the current moment. This impact is:

[0097] Where β represents the energy consumption impact of the current computing device's operating parameters at the current moment, n represents the number of reference energy consumption points for the current computing device's operating parameters within a preset time period prior to the current moment, z0 represents the coordinate distance of the observed energy consumption points for the current computing device's operating parameters within the preset time period prior to the current moment, and s z Let γ be the sum of the coordinate distances of all reference energy consumption points of the current computing device's operating parameters within a preset time period before the current time, let γ be the sum of the reference quotients of all reference energy consumption points of the current computing device's operating parameters within a preset time period before the current time, let σ1 be the standard deviation of the coordinate distances of all reference energy consumption points of the current computing device's operating parameters within a preset time period before the current time, let σ2 be the standard deviation of the reference distances of all reference energy consumption points of the current computing device's operating parameters within a preset time period before the current time, let ln be the natural logarithm, and let the natural constant e be 2.718.

[0098] The beneficial effects of the above technology are as follows: It provides a specific method for determining the coordinate distance, reference distance, and reference quotient of all reference energy consumption points for each type of equipment within a preset time period before the current moment. This achieves accurate quantification of the impact of each type of equipment's operating parameters on equipment energy consumption at the current moment, which facilitates the construction of subsequent equipment analysis matrices.

[0099] Example 6:

[0100] Based on Example 1, the liquid compressed air backup system, the second calculation module, includes:

[0101] The second acquisition submodule is used to acquire the liquid nitrogen production of each type of equipment at all times within a preset time period before the current time.

[0102] The second calculation submodule is used to obtain the output impact of each type of equipment at the current moment based on the processing parameters and liquid nitrogen production of each type of equipment at all times within a preset time period before the current moment.

[0103] The beneficial effects of the above technology are as follows: Based on the processing parameters of the operating parameters of all types of equipment at all times within the preset time period before the current time and the liquid nitrogen production at all times within the preset time period before the current time, the production impact of the operating parameters of all types of equipment at the current time can be obtained. This achieves accurate quantification of the impact of the operating parameters of each type of equipment on the liquid nitrogen production at the current time, which facilitates the construction of the subsequent equipment analysis matrix.

[0104] Example 7:

[0105] Based on Example 6, in the liquid compressed air backup system, the second calculation submodule obtains the production impact of each type of equipment's operating parameters at the current moment based on the processing parameters and liquid nitrogen production of each type of equipment at all times within a preset time period prior to the current moment. The method includes:

[0106] Where δ represents the output impact of the current computing device's operating parameters at the current moment, m represents the number of all moments within the preset time period preceding the current moment, c represents the value of the processing parameter of the current computing device's operating parameters at the current moment, c0 represents the mean value of the processing parameter of the current computing device's operating parameters across all moments within the preset time period preceding the current moment, σ0 represents the standard deviation of the processing parameter values ​​of the current computing device's operating parameters across all moments within the preset time period preceding the current moment, and c max c is the maximum value of the processing parameters of the current computing device's operation parameters at all times within a preset time period prior to the current time. min Let d be the minimum value of the processing parameters of the current computing device at all times within a preset time period prior to the current time, and let d be the value of the liquid nitrogen output of the current computing device at the current time. max d represents the maximum value of the liquid nitrogen production at any given moment within a preset time period prior to the current moment for the current computing device. min The value is the minimum of the liquid nitrogen production values ​​of the current computing device at all times within a preset time period before the current time. ln is the natural logarithm, and the natural constant e is 2.718.

[0107] The beneficial effects of the above technology are as follows: It provides a detailed method for obtaining the output influence of each type of equipment's operating parameters at the current moment based on the processing parameters and liquid nitrogen output of each type of equipment at all times within a preset time period before the current moment.

[0108] Example 8:

[0109] Based on Example 3, the liquid compressed air backup system includes the following modules:

[0110] A submodule is constructed to obtain the equipment analysis matrix for each type of equipment at the current moment, based on the processing parameters, energy consumption impact, and output impact of the operating parameters of all types of equipment at all times within a preset time period before the current moment.

[0111] The second analysis submodule is used to sequentially delete each column element of the device analysis matrix for each type of device at the current time to obtain all new matrices for each type of device at the current time. The new matrix with the largest rank among all the new matrices for each type of device at the current time is used as the control matrix for each type of device at the current time. The processing parameters of the operation parameters of each type of device at the time corresponding to the deleted column element of the control matrix for each type of device at the current time are used as the control values ​​of the operation parameters of the corresponding type of device at the current time.

[0112] In this embodiment, the sequential deletion is a process of deleting only one column of matrix elements in the device analysis matrix of each type of device at the current moment.

[0113] In this embodiment, the control matrix of each type of device at the current time is the new matrix with the largest rank among all the new matrices of each type of device at the current time. When there are multiple new matrices with the largest rank, the new matrix whose time is closest to the current time is the one whose column matrix element is deleted from the multiple new matrices, and this new matrix is ​​used as the control matrix of each type of device at the current time.

[0114] The beneficial effects of the above technology are as follows: based on the equipment analysis matrix of each type of equipment at the current moment, the control matrix of each type of equipment at the current moment is obtained, and then based on the control matrix of each type of equipment at the current moment, the control values ​​of the operating parameters of each type of equipment at the current moment are obtained, which facilitates the subsequent acquisition of the optimal liquid compressed air backup results.

[0115] Example 9:

[0116] Based on Example 8, the liquid compressed air backup system includes a method for constructing a submodule to obtain an equipment analysis matrix for each type of equipment at the current moment, based on the processing parameters, energy consumption impact, and output impact of the operating parameters of all types of equipment at all times within a preset time period prior to the current moment. This method includes:

[0117] Where E is the device analysis matrix of the current computing device at the current moment, c1 is the value of the processing parameter of the first device operation parameter of the current computing device at the first moment within the preset time period before the current moment, c2 is the value of the processing parameter of the first device operation parameter of the current computing device at the second moment within the preset time period before the current moment, and c m β represents the value of the processing parameter of the first device operation parameter at the m-th time within a preset time period before the current time for the current computing device, where m is the number of all times within the preset time period before the current time. p δ represents the energy consumption impact of the first device operating parameter of the current computing device at the current moment. p The output impact of the first operating parameter of the current computing device at the current moment.

[0118] The beneficial effects of the above technology are as follows: It provides a detailed method for constructing an equipment analysis matrix for each type of equipment at the current moment based on the processing parameters, energy consumption impact, and output impact of the operating parameters of all types of equipment at all times within a preset time period before the current moment.

[0119] Example 10:

[0120] Based on Example 1, in the liquid compressed air backup system, the control module obtains the optimal liquid compressed air backup result based on the adjustment values ​​of the operating parameters of all types of equipment at the current moment, including:

[0121] The operating parameters of each type of equipment at the next time step are adjusted to be the same as the control values ​​of the corresponding operating parameters of the corresponding type of equipment at the current time step, so as to obtain the best liquid compressed air standby result.

[0122] In this embodiment, the next moment is the moment after the current moment, and the time interval between the current moment and the next moment is the same as the time interval between two adjacent moments within a preset time period before the current moment.

[0123] The beneficial effects of the above technology are as follows: Based on the adjustment values ​​of the operating parameters of all types of equipment at the current moment, the optimal liquid compressed air backup result is obtained. It achieves precise control of all equipment by comprehensively considering both energy consumption and liquid nitrogen production, thus achieving the optimal liquid compressed air backup result and reducing overall operating costs.

[0124] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from the spirit and scope of this invention, and this invention is also intended to include these modifications and variations.

Claims

1. A liquid compressed air backup system, characterized in that, include: The processing module is used to obtain the processing parameters of the operation parameters of all types of devices at each time within a preset time period before the current time, based on the operation parameters of all types of devices at each time within a preset time period before the current time. The first calculation module is used to obtain the energy consumption impact of the operating parameters of all types of devices at the current moment based on the processing parameters and energy consumption values ​​of the operating parameters of all types of devices at all times within the preset time period before the current moment. The second calculation module is used to obtain the production impact of the operating parameters of all types of equipment at the current moment based on the processing parameters of the operating parameters of all types of equipment at all moments within the preset time period before the current moment and the liquid nitrogen production at all moments within the preset time period before the current moment. The module is used to obtain the equipment analysis matrix of each type of equipment at the current moment based on the processing parameters of the operation parameters of all types of equipment at all times within the preset time period before the current moment, and the energy consumption impact and output impact of the operation parameters of all types of equipment at the current moment. Based on the equipment analysis matrix of each type of equipment at the current moment, the control value of the operation parameters of all types of equipment at the current moment is obtained. The control module is used to obtain the optimal liquid compressed air standby result based on the adjustment values ​​of the operating parameters of all types of equipment at the current moment.

2. The liquid compressed air backup system of claim 1, wherein, The processing module includes: The first acquisition submodule is used to acquire the operating parameters of all types of devices at each time within a preset time period before the current time. The all types of devices include air compressors, coolers, distillation columns, and liquefiers. The operating parameters of all types of devices for air compressors include output pressure and speed. The operating parameters of all types of devices for coolers include cooling temperature and cooling medium flow rate. The operating parameters of all types of devices for distillation columns include operating pressure and reflux ratio. The operating parameters of all types of devices for liquefiers include liquefaction pressure and cooling capacity. The processing submodule is used to obtain the processing parameters of the operation parameters of all types of devices at each moment within the preset time period before the current moment, based on the operation parameters of all types of devices at all moments within the preset time period before the current moment.

3. The liquid compressed air backup system of claim 2, wherein, The processing submodule includes: The first processing unit is used to determine whether the difference between the operating parameters of each type of device at each time within a preset time period before the current time and the operating parameters of the corresponding type of device at all adjacent times of the corresponding time is greater than the preset difference of the operating parameters of the corresponding type of device. If so, the average value of the operating parameters of the corresponding type of device at all adjacent times of the corresponding time is used as the processing parameter of the corresponding type of device at the corresponding time. Otherwise, the operating parameters of the corresponding type of device at the corresponding time are used as the processing parameter of the corresponding type of device at the corresponding time. When the difference between the operating parameters of each type of device at each time within a preset time period before the current time and the operating parameters of the corresponding type of device at only one adjacent time of the corresponding time is greater than the preset difference of the operating parameters of the corresponding type of device, the corresponding time is used as the transition time of the operating parameters of the corresponding type of device within the preset time period before the current time. The second processing unit is used to take the corresponding device operation parameter with more transition times among all device operation parameters within a preset time period before the current time as the first device operation parameter of the corresponding device, and to take the corresponding device operation parameter with fewer transition times among all device operation parameters within a preset time period before the current time as the second device operation parameter of the corresponding device.

4. The liquid compressed air backup system of claim 1, wherein, The first calculation module includes: The first analysis submodule is used to take the values ​​of the processing parameters of the operation parameters of each type of device at all times within a preset time period before the current time as the horizontal axis value, and the energy consumption value of the corresponding type of device at the corresponding time as the vertical axis value, to obtain all energy consumption points of the operation parameters of each type of device within the preset time period before the current time. The energy consumption point corresponding to the current time among all energy consumption points of the operation parameters of each type of device within the preset time period before the current time is taken as the observation energy consumption point of the operation parameters of the corresponding type of device within the preset time period before the current time. The remaining energy consumption points among all energy consumption points of the operation parameters of each type of device within the preset time period before the current time, excluding the observation energy consumption points of the operation parameters of the corresponding type of device within the preset time period before the current time, are taken as the reference energy consumption points of the operation parameters of the corresponding type of device within the preset time period before the current time. The first calculation submodule is used to obtain the energy consumption impact of each type of device's operating parameters at the current moment based on all reference energy consumption points and observed energy consumption points of each type of device's operating parameters within a preset time period before the current moment.

5. The liquid compressed air backup system of claim 4, wherein, The first calculation submodule includes: The first analysis unit is used to take the distance between each reference energy consumption point of each type of device's operating parameters within a preset time period before the current time and the origin of the coordinate system as the coordinate distance of the corresponding reference energy consumption point of the corresponding type of device's operating parameters within the preset time period before the current time, and to take the distance between the observed energy consumption point of each type of device's operating parameters within a preset time period before the current time and the origin of the coordinate system as the coordinate distance of the observed energy consumption point of the corresponding type of device's operating parameters within the preset time period before the current time. The second analysis unit is used to take the distance between each reference energy consumption point of each type of equipment operation parameter within a preset time period before the current time and the observed energy consumption point of the corresponding type of equipment operation parameter within the preset time period before the current time as the reference distance of the corresponding reference energy consumption point of the corresponding type of equipment operation parameter within the preset time period before the current time, and to take the quotient of the coordinate distance and the reference distance of each reference energy consumption point of each type of equipment operation parameter within the preset time period before the current time as the reference quotient of the corresponding reference energy consumption point of the corresponding type of equipment operation parameter within the preset time period before the current time. The computing unit is configured to obtain the energy consumption influence degree of each type of device operation parameter of each type of device at the current time based on the coordinate distance, the reference distance and the reference quotient value of all reference energy consumption points of each type of device operation parameter of each type of device within a preset time period before the current time, i.e.: Where β represents the energy consumption impact of the current computing device's operating parameters at the current moment, n represents the number of reference energy consumption points for the current computing device's operating parameters within a preset time period prior to the current moment, z0 represents the coordinate distance of the observed energy consumption points for the current computing device's operating parameters within the preset time period prior to the current moment, and s z Let γ be the sum of the coordinate distances of all reference energy consumption points of the current computing device's operating parameters within a preset time period before the current time, let γ be the sum of the reference quotients of all reference energy consumption points of the current computing device's operating parameters within a preset time period before the current time, let σ1 be the standard deviation of the coordinate distances of all reference energy consumption points of the current computing device's operating parameters within a preset time period before the current time, let σ2 be the standard deviation of the reference distances of all reference energy consumption points of the current computing device's operating parameters within a preset time period before the current time, let ln be the natural logarithm, and let the natural constant e be 2.

718.

6. The liquid compressed air backup system of claim 1, wherein, The second calculation module includes: The second acquisition submodule is used to acquire the liquid nitrogen production of each type of equipment at all times within a preset time period before the current time. The second calculation submodule is used to obtain the output impact of each type of equipment at the current moment based on the processing parameters and liquid nitrogen production of each type of equipment at all times within a preset time period before the current moment.

7. A liquid compressed air backup system according to claim 6, characterised in that, The second calculation sub-module obtains the yield influence degree of each type of device operation parameter of each type of device at the current time based on the processing parameters of each type of device operation parameter and the liquid nitrogen yield of all time within the preset time period before the current time of each type of device, comprising: Where δ represents the output impact of the current computing device's operating parameters at the current moment, m represents the number of all moments within the preset time period preceding the current moment, c represents the value of the processing parameter of the current computing device's operating parameters at the current moment, c0 represents the mean value of the processing parameter of the current computing device's operating parameters across all moments within the preset time period preceding the current moment, σ0 represents the standard deviation of the processing parameter values ​​of the current computing device's operating parameters across all moments within the preset time period preceding the current moment, and c max c is the maximum value of the processing parameters of the current computing device's operation parameters at all times within a preset time period prior to the current time. min Let d be the minimum value of the processing parameters of the current computing device at all times within a preset time period prior to the current time, and let d be the value of the liquid nitrogen output of the current computing device at the current time. max d represents the maximum value of the liquid nitrogen production at any given moment within a preset time period prior to the current moment for the current computing device. min The value is the minimum of the liquid nitrogen production values ​​of the current computing device at all times within a preset time period before the current time. ln is the natural logarithm, and the natural constant e is 2.

718.

8. The liquid compressed air backup system of claim 3, wherein, Build modules, including: A submodule is constructed to obtain the equipment analysis matrix for each type of equipment at the current moment, based on the processing parameters, energy consumption impact, and output impact of the operating parameters of all types of equipment at all times within a preset time period before the current moment. The second analysis submodule is used to sequentially delete each column element of the device analysis matrix for each type of device at the current time to obtain all new matrices for each type of device at the current time. The new matrix with the largest rank among all the new matrices for each type of device at the current time is used as the control matrix for each type of device at the current time. The processing parameters of the operation parameters of each type of device at the time corresponding to the deleted column element of the control matrix for each type of device at the current time are used as the control values ​​of the operation parameters of the corresponding type of device at the current time.

9. The liquid compressed air backup system of claim 8, wherein, The constructing sub-module obtains the device analysis matrix of each type of device at the current time based on the processing parameters, energy consumption influence degrees and yield influence degrees of all type device operation parameters of all time within a preset time period before the current time of each type of device, and the method comprises the following steps: Where E is the device analysis matrix of the current computing device at the current moment, c1 is the value of the processing parameter of the first device operation parameter of the current computing device at the first moment within the preset time period before the current moment, c2 is the value of the processing parameter of the first device operation parameter of the current computing device at the second moment within the preset time period before the current moment, and c m β represents the value of the processing parameter of the first device operation parameter at the m-th time within a preset time period before the current time for the current computing device, where m is the number of all times within the preset time period before the current time. p δ represents the energy consumption impact of the first device operating parameter of the current computing device at the current moment. p The output impact of the first device operating parameter of the current computing device at the current moment.

10. The liquid compressed air backup system of claim 1, wherein, The method for obtaining the optimal liquid compressed air standby result based on the adjustment values ​​of the operating parameters of all types of equipment at the current moment includes: The operating parameters of each type of equipment at the next time step are adjusted to be the same as the control values ​​of the corresponding operating parameters of the corresponding type of equipment at the current time step, so as to obtain the best liquid compressed air standby result.

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