Energy efficiency operation method, device and equipment of coal gas using equipment and medium

Abstract

This invention provides an energy efficiency operation method, apparatus, equipment, and medium for gas-using equipment. The method includes performing hydraulic simulation on a gas pipeline network to obtain flow rates in multiple pipe segments and pressures at multiple nodes; determining the allocation ratio of multiple pipe segments based on the flow rates of each pipe segment and the starting flow rates of corresponding starting nodes; determining the flow allocation values ​​from each source point to the corresponding user point based on the allocation ratios and the source flow rates of each source point; determining the corresponding calorific value of the mixed gas at each user point based on the flow allocation values ​​and calorific value detection values ​​of different corresponding source points; determining the energy consumption efficiency of the gas-using equipment under different calorific value fluctuations based on the corresponding mixed gas calorific value; statistically analyzing the operation parameters of the target energy consumption efficiency within different calorific value ranges through clustering; and obtaining operation optimization suggestions based on the current mixed gas calorific value and the corresponding operation parameters matched from historical reference data. This improves the accuracy of calorific value monitoring and the energy efficiency of energy-using equipment, and reduces energy usage costs.

Description

Technical Field

[0001] This invention relates to the field of gas usage monitoring technology, and in particular to an energy efficiency operation method, device, equipment and medium for gas usage equipment. Background Technology

[0002] Byproduct gases from steel production processes have various calorific values, such as high-calorific-value coke oven gas, medium-calorific-value converter gas, and low-calorific-value blast furnace gas. During gas usage, different gas pipelines are often directly connected and mixed, leading to significant fluctuations in the calorific value of the mixed gas. This has a substantial impact on numerous gas-using equipment in steel enterprises, such as heating furnaces and boilers.

[0003] In related technologies, energy efficiency analysis and operating parameter settings are usually performed based on fixed calorific values, but this can lead to large errors in energy efficiency calculations and operational deviations, increasing equipment energy consumption and causing uneconomical operation. Another solution is to add a calorific value analyzer to each gas-using device and use the data from the calorific value analyzer for energy efficiency analysis and operating settings, but this will result in huge upfront hardware investment costs and subsequent maintenance costs. Summary of the Invention

[0004] This invention provides an energy-efficient operation method, apparatus, equipment, and medium for gas-using equipment, in order to solve the technical problem of high energy consumption and high energy usage costs caused by inaccurate monitoring of the calorific value of mixed gas.

[0005] This invention provides an energy-efficient operation method for gas-using equipment. The method includes: acquiring monitoring parameters of a gas pipeline network, the monitoring parameters including multiple flow measurement values, multiple pressure measurement values, and calorific value detection values ​​at different gas generation sources, wherein the flow measurement values ​​and pressure measurement values ​​are obtained at each gas generation source and at different gas-using equipment; performing hydraulic simulation on the gas pipeline network based on the flow measurement values ​​and pressure measurement values ​​to obtain the flow rates of multiple pipe segments and the pressures of multiple nodes in the gas pipeline network, and determining the types of multiple nodes in the gas pipeline network, wherein the types of each node include source points corresponding to the gas generation sources and user points corresponding to the gas-using equipment; determining the allocation ratio of multiple pipe segments based on the flow rates of each pipe segment and the starting flow rates of the corresponding starting nodes, and determining the flow allocation from each source point to the corresponding user point based on the allocation ratios and the source flow rates of each source point. The starting flow rate and the source flow rate are determined based on the flow rates of each pipe segment. At each user point, the calorific value of the mixed gas at each user point is determined based on the flow allocation value and calorific value detection value corresponding to different source points. At each user point, the energy consumption efficiency of the gas-using equipment under different calorific value fluctuations is determined based on the corresponding mixed gas calorific value. The operation parameters of the target energy consumption efficiency are statistically analyzed by clustering under different calorific value ranges, and historical reference data is stored. The target energy consumption efficiency is obtained based on the ranking of multiple energy consumption efficiencies of the gas-using equipment. Based on the current mixed gas calorific value at each user point, the operation parameters corresponding to the target energy consumption efficiency are matched from the historical reference data to obtain operation optimization suggestions. The operation optimization suggestions correspond to a new mixed gas calorific value and a new energy consumption efficiency, and the historical reference data is updated.

[0006] In one embodiment of the present invention, before obtaining the monitoring parameters of the gas pipeline network, the method further includes: if there is a missing calorific value detection device at each of the gas generation sources, then the missing calorific value detection device is added to obtain each of the calorific value detection values, wherein the calorific value detection device includes a calorific value analyzer or a component analyzer; if there is a missing flow meter at each of the gas generation sources and each of the gas usage devices, then the missing flow meter is added to obtain each of the flow measurement values; if there is a missing pressure meter at each of the gas generation sources and each of the gas usage devices, then the missing pressure meter is added to obtain each of the pressure measurement values.

[0007] In one embodiment of the present invention, determining the type of multiple nodes in the gas pipeline network includes: determining the total flow into the multiple nodes in the gas pipeline network based on the flow rate of each pipe segment; determining the source point corresponding to each gas generation source in each node according to the pressure of each node and the total flow rate of each node, so as to assign the corresponding pipe segment flow rate to the source point; and determining the user point corresponding to each gas-using equipment in each node based on the pressure of each node and the total flow rate of each node.

[0008] In one embodiment of the present invention, determining the flow allocation value from each source point to the corresponding user point according to the allocation ratio and the source flow of each source point includes: sequentially determining each source point as a target point; if a source point is a target point, then ignoring the other source points and the corresponding connecting pipe segments, and determining the flow allocation value from the target point to the corresponding user point according to the source flow of the target point and the allocation ratio of the corresponding connecting pipe segment.

[0009] In one embodiment of the present invention, at the user point, the calorific value of the mixed gas at the user point is determined based on the flow distribution value and calorific value detection value corresponding to different source points, including: determining the total energy flowing into the user point based on the flow distribution value and calorific value detection value corresponding to different source points; determining the total flow rate flowing into the user point based on the flow distribution value corresponding to different source points; and determining the calorific value of the mixed gas at the user point based on the total energy and the total flow rate.

[0010] In one embodiment of the present invention, at each user point, the energy consumption efficiency of the gas-using equipment under different calorific value fluctuations is determined based on the corresponding calorific value of the mixed gas. The operation parameters for the target energy consumption efficiency under different calorific value ranges are obtained through cluster analysis. This includes: determining the energy consumption efficiency of each user point based on the consumption flow rate, conversion energy, and the calorific value of the mixed gas; performing cluster analysis on each user point based on the calorific value of each mixed gas and the corresponding energy consumption efficiency to obtain the operation parameters corresponding to the target energy consumption efficiency of each user point under different calorific value ranges; wherein, the consumption flow rate is used to characterize the flow rate value of the gas consumed by the corresponding user point in the monitoring parameters, the conversion energy is used to characterize the energy value converted after the corresponding user point consumes the gas in the monitoring parameters, and the target energy consumption efficiency includes the highest energy consumption efficiency or an energy consumption efficiency that meets a preset sorting range.

[0011] In one embodiment of the present invention, based on the current calorific value of the mixed gas at each user point, the operation parameters corresponding to the target energy consumption efficiency are matched from the historical reference data to obtain operation optimization suggestions, including: matching the current calorific value of the mixed gas at the user point with the calorific value ranges in the historical reference data to obtain a target range; and determining the operation parameter with the highest energy consumption efficiency among the target energy consumption efficiencies within the target range as the operation optimization suggestion.

[0012] This invention provides an energy efficiency operation device for gas-using equipment. The device includes: a parameter acquisition module for acquiring monitoring parameters of a gas pipeline network, including multiple flow measurement values, multiple pressure measurement values, and calorific value detection values ​​at different gas generation sources, wherein the flow measurement values ​​and pressure measurement values ​​are obtained at each gas generation source and at different gas-using equipment; a hydraulic simulation module for performing hydraulic simulation on the gas pipeline network based on the flow measurement values ​​and pressure measurement values ​​to obtain the flow rates of multiple pipe segments and the pressures of multiple nodes in the gas pipeline network, and determining the types of multiple nodes in the gas pipeline network, wherein the types of each node include source points corresponding to the gas generation sources and user points corresponding to the gas-using equipment; and a flow allocation determination module for determining the allocation ratio of multiple pipe segments based on the flow rates of each pipe segment and the starting flow rates of the corresponding starting nodes, and determining the flow allocation value from each source point to the corresponding user point based on the allocation ratios and the source flow rates of each source point. The point flow rate and the source flow rate are determined based on the flow rate of each pipe segment; the mixed gas calorific value determination module is used to determine the mixed gas calorific value of each user point based on the flow allocation value and calorific value detection value of different corresponding source points; the energy efficiency statistics module is used to determine the energy consumption efficiency of the gas-using equipment under different calorific value fluctuations at each user point based on the corresponding mixed gas calorific value, and to obtain historical reference data by clustering statistics of the operation parameters of the target energy consumption efficiency under different calorific value ranges, wherein the target energy consumption efficiency is obtained based on the ranking of multiple energy consumption efficiencies of the gas-using equipment; the optimization suggestion module is used to match the operation parameters corresponding to the target energy consumption efficiency from the historical reference data based on the current mixed gas calorific value at each user point, and to obtain operation optimization suggestions; the parameter update module is used to determine the new mixed gas calorific value and the new energy consumption efficiency corresponding to the operation optimization suggestions, and to update the historical reference data.

[0013] The present invention provides an electronic device comprising: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device enables the energy-efficient operation method of the gas-using equipment as described in any of the above embodiments.

[0014] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a computer processor, causes the computer to perform the energy-efficient operation method of the gas-using equipment described in any of the above embodiments.

[0015] The beneficial effects of this invention are as follows: This invention proposes an energy-efficient operation method, device, equipment, and medium for gas-using equipment. By using hydraulic simulation to determine the flow rate of multiple pipe sections and the pressure of multiple nodes in the gas pipeline network, it achieves gas flow distribution tracking, obtaining the flow distribution value from the gas source to the gas-using equipment. The calorific value of the mixed gas is determined by the flow distribution value and the calorific value detection value, improving the monitoring accuracy of the mixed gas calorific value at the gas-using equipment. Furthermore, the operating parameters of the gas-using equipment for target energy consumption efficiency under different calorific value ranges are analyzed and recorded. When the calorific value of the mixed gas fluctuates, historical operating parameters within that calorific value range can be recommended for the current gas-using equipment, thereby obtaining operation optimization suggestions, improving the overall energy efficiency of the gas-using equipment, and reducing gas usage costs. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0017] In the attached diagram:

[0018] Figure 1 A schematic diagram of an exemplary system architecture provided in an embodiment of the present invention; Figure 2 This is a flowchart illustrating the energy efficiency operation method of a gas-using device provided in one embodiment of the present invention. Figure 3 This is a schematic diagram of a ring-shaped gas pipeline network provided in one embodiment of the present invention; Figure 4 This is a schematic diagram of a gas flow tracking process provided in one embodiment of the present invention; Figure 5 This is a visual schematic diagram of gas flow tracking provided in one embodiment of the present invention; Figure 6 This is a block diagram of the energy efficiency operation device of a gas-using equipment provided in one embodiment of the present invention; Figure 7 This is a schematic diagram of the structure of a computer system for an electronic device provided in one embodiment of the present invention. Detailed Implementation

[0019] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0020] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. The drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0021] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0022] Please see Figure 1 , Figure 1 This is a schematic diagram of an exemplary system architecture provided in an embodiment of the present invention. Figure 1 As shown, the system architecture may include a data acquisition device 110 and a computer device 120. The data acquisition device 110 includes a calorific value detection device, a flow meter, and a pressure meter to acquire calorific value detection values, flow measurement values, and pressure measurement values, and transmit them to the computer device. The computer device may be at least one of a general-purpose computer, an industrial computer, or a neural network computer. The computer device is used to obtain the calorific value of the mixed gas at the user point.

[0023] For example, computer device 120 acquires monitoring parameters of the gas pipeline network. These parameters include multiple flow measurements, multiple pressure measurements, and calorific value detection values ​​at different gas generation sources. The flow and pressure measurements are obtained from each gas generation source and different gas-using equipment. Based on the flow and pressure measurements, a hydraulic simulation of the gas pipeline network is performed to obtain the flow rates of multiple pipe segments and the pressures of multiple nodes within the network. The types of multiple nodes in the gas pipeline network are determined, including the source point corresponding to the gas generation source and the user point corresponding to the gas-using equipment. Based on the flow rates of each pipe segment and the starting flow rate of the corresponding starting node, the allocation ratio of multiple pipe segments is determined. Furthermore, based on the allocation ratio and the source flow rate of each source point, the flow allocation value from each source point to the corresponding user point is determined. The flow rate is determined based on the flow rate of each pipe segment. At each user point, the calorific value of the mixed gas is determined based on the flow distribution value and calorific value detection value of different corresponding source points. At each user point, based on the corresponding calorific value of the mixed gas, the energy consumption efficiency of the gas-using equipment under different calorific value fluctuations is determined. The operating parameters of the target energy consumption efficiency are statistically analyzed through clustering within different calorific value ranges, and historical reference data is stored. The target energy consumption efficiency is obtained based on the ranking of multiple energy consumption efficiencies of the gas-using equipment. Based on the current calorific value of the mixed gas at each user point, the operating parameters corresponding to the target energy consumption efficiency are matched from the historical reference data to obtain operation optimization suggestions. The new calorific value of the mixed gas and the new energy consumption efficiency corresponding to the operation optimization suggestions are determined, and the historical reference data is updated.

[0024] In related technologies, there are technical problems such as high energy consumption and high energy costs in gas-using equipment due to inaccurate monitoring of the calorific value of mixed gas.

[0025] To address the aforementioned technical problems, this invention provides an energy-efficient operation method, apparatus, equipment, and medium for gas-using equipment. The implementation details of the technical solutions in the embodiments of this invention are described in detail below.

[0026] Please see Figure 2 , Figure 2 This is a flowchart illustrating the energy efficiency operation method of a gas-using device provided in one embodiment of the present invention. Figure 2 As shown, in an exemplary embodiment, the energy efficiency operation method of the gas-using equipment includes at least steps S210 to S270, which are described in detail below: Step S210: Obtain monitoring parameters of the gas pipeline network.

[0027] The monitoring parameters include multiple flow measurement values, multiple pressure measurement values, and calorific value detection values ​​at different gas generation sources. The flow measurement values ​​and pressure measurement values ​​are obtained from each gas generation source and different gas-using equipment.

[0028] In one embodiment of the present invention, the gas generation source includes a coke oven, a converter, and a blast furnace.

[0029] In one embodiment of the present invention, before obtaining the monitoring parameters of the gas pipeline network, the method further includes: if there is a lack of calorific value detection equipment at each gas generation source, then supplementing the calorific value detection equipment to obtain each calorific value detection value; the calorific value detection equipment includes a calorific value analyzer or a component analyzer; if there is a lack of flow metering instruments at each gas generation source and each gas usage device, then supplementing the flow metering instruments to obtain each flow measurement value; if there is a lack of pressure metering instruments at each gas generation source and each gas usage device, then supplementing the pressure metering instruments to obtain each pressure measurement value.

[0030] In one embodiment of the present invention, the gas source corresponding to the gas is referred to as the gas source in the following embodiments, and the gas-using equipment is referred to as the user in the following embodiments.

[0031] In one embodiment of the present invention, please refer to Figure 3 , Figure 3 This is a schematic diagram of a ring-shaped gas pipeline network provided in one embodiment of the present invention. Figure 3 As shown, numbers ①, ②, and ⑥ represent three gas sources, each producing gas with different calorific values, but they are directly mixed and fed into the same gas pipeline network. When the flow rate of the gas sources changes, the calorific value of the mixed gas in the pipeline network will also fluctuate. Numbers ④, ⑤, ⑦, ⑧, and ⑩... These represent different intermediate nodes; numbers ③, ⑨, and _____. , For equipment using coal gas, the arrows on pipe sections 1-14 indicate the direction of coal gas flow. In related technologies, coal gas sources are mixed in a fixed ratio, and calculations are performed assuming that the calorific value of the coal gas used by each user is exactly the same. This leads to significant calculation errors. Coal gas is not completely uniformly mixed when flowing in the gas pipeline network. For example, user ③ is closer to coal gas source ①, so user ③'s calorific value is closer to that of coal gas source ①; user ⑨ is closer to coal gas source ②, so user ⑨'s calorific value is closer to that of coal gas source ②. If all users are calculated based on the same calorific value, it will cause a large calculation deviation, making energy efficiency calculations inaccurate. On the other hand, some steel companies also calculate the calorific value of each user ③, ⑨, ... , Adding calorific value analyzers or gas composition analyzers to the gas source would result in significant upfront hardware investment costs and subsequent equipment maintenance costs, often rendering the entire solution economically unfeasible. This invention, however, solves the aforementioned problems by supplementing the gas supply with a small number of calorific value testing devices and metering instruments, enabling simulation calculations for calorific value tracking in coal gas pipelines. At the coal gas source, such as... Figure 3Replace the gas calorific value analyzers or composition analyzers at positions ①, ②, and ⑥. Normally, gas sources such as blast furnaces, coke ovens, and converters are equipped with calorific value testing equipment during the design process to ensure normal production. Only a few missing equipment points need to be supplemented. Furthermore, the number of gas sources is often far less than the number of gas-using equipment, so supplementing the gas sources with calorific value testing equipment can significantly reduce initial hardware investment and subsequent maintenance costs.

[0032] In one embodiment of the invention, pressure and flow meters need to be installed at the gas source and gas-using equipment. According to regulations, meters directly connected to the gas pipeline are classified as secondary meters and must be 100% installed. This installation primarily addresses situations where meters are damaged or inaccurate, and the hardware cost is relatively low.

[0033] Step S220: Perform hydraulic simulation on the gas pipeline network based on the flow rate measurement value and the pressure measurement value to obtain the flow rate of multiple pipe sections and the pressure of multiple nodes in the gas pipeline network, and determine the type of multiple nodes in the gas pipeline network.

[0034] The types of each node include the source point corresponding to the gas generation source and the user point corresponding to the gas usage equipment.

[0035] In one embodiment of the present invention, hydraulic simulation is achieved through a pre-constructed hydraulic simulation calculation model of a gas pipeline network, thereby obtaining the node pressures corresponding to multiple nodes and the flow rates corresponding to multiple pipe segments in the gas pipeline network. In the gas pipeline network hydraulic simulation calculation model, the node pressures and flow rates are calculated separately using the pipeline network node equation method, iterating multiple times until the accuracy requirements are met. The pipeline network node equation is a mature and publicly available calculation method and is not considered an innovation of the present invention, but merely a calculation step in the process.

[0036] In one embodiment of the present invention, flow rate measurement and pressure measurement can be used as boundary conditions for the network node equations in hydraulic simulation.

[0037] In one embodiment of the present invention, determining the type of multiple nodes in a gas pipeline network includes: determining the total flow into multiple nodes in the gas pipeline network based on the flow of each pipe segment; determining the source point corresponding to each gas generation source in each node according to the pressure of each node and the total flow of each node, so as to assign the corresponding pipe segment flow to the source point; and determining the user point corresponding to each gas-using equipment in each node based on the pressure of each node and the total flow of each node.

[0038] Step S230: Determine the allocation ratio of multiple pipe segments based on the flow rate of each pipe segment and the starting flow rate of the corresponding starting node, and determine the flow allocation value from each source point to the corresponding user point according to each allocation ratio and the source flow rate of each source point.

[0039] The starting point flow rate and the source point flow rate are determined based on the flow rate of each pipe segment.

[0040] In one embodiment of the present invention, determining the flow allocation value from each source point to the corresponding user point based on each allocation ratio and the source flow of each source point includes: sequentially determining each source point as a target point; if a source point is a target point, then ignoring the other source points and the corresponding connecting pipe segments, and determining the flow allocation value from the target point to the corresponding user point based on the source flow of the target point and the allocation ratio of the corresponding connecting pipe segment.

[0041] In one embodiment of the present invention, a gas calorific value tracking calculation model is constructed: the distribution ratio of gas flow from each gas source to each gas-using device is calculated, and then combined with the calorific value detection value at the gas source, the calculated calorific value of the gas at the gas-using device, i.e., the calorific value of the mixed gas, can be calculated. The key part lies in the flow tracking calculation of each gas source.

[0042] In one embodiment of the present invention, please refer to Figure 4 , Figure 4 This is a schematic diagram of a gas flow tracking process provided in one embodiment of the present invention. Figure 4 As shown, the hydraulic and thermal calculations for the fluid pipeline network are completed: After completing the hydraulic simulation, the thermal calculation is started by tracing the gas source flow; the total flow into each node is calculated: based on the hydraulic simulation results of the gas pipeline network, the total flow into each node in the gas pipeline network is calculated sequentially; the state of each node is determined to find the gas source point and user point: all nodes are traversed and the node state is determined to find the gas source point and user point in the node; all gas sources in the pipeline network are found and the gas source flow is assigned: the flow results of the hydraulic calculation, such as the pipe segment flow, are assigned to each corresponding gas source point; using the pipe segment flow and the flow of the corresponding starting node, the corresponding allocation ratio of each pipe segment is calculated: based on the flow of each pipe segment and the starting flow of the corresponding starting node. The process involves: determining the allocation ratio of multiple pipe segments; storing the calculation results of the allocation ratio for subsequent calculations; using the calculation results of the allocation ratio to sequentially calculate the flow tracking of the i-th source point; traversing all gas source points to start calculating the flow tracking of the i-th gas source point; when calculating the flow tracking of the i-th gas source point, removing gas source points and their connecting pipe segments that are not involved in the calculation; when calculating the flow tracking of the i-th gas source point, ignoring the remaining gas source points and their connecting pipe segments that are not involved in the calculation; calculating the flow allocation from the i-th gas source point to all users according to the allocation ratio corresponding to each pipe segment; obtaining the flow allocation value from the i-th gas source point to all corresponding users; storing the calculation results; storing the flow allocation value; and sequentially calculating the flow tracking of each gas source point.

[0043] In one embodiment of the present invention, please refer to Figure 5 , Figure 5 This is a visual schematic diagram of gas flow tracking provided in one embodiment of the present invention. Figure 5 This diagram illustrates how gas flows from different gas sources on the left, through intermediate nodes (such as mixing stations), or without intermediate nodes, to different gas-using equipment on the right. The gas sources include, but are not limited to, coke oven supply, converter supply, No. 1 (1#) blast furnace supply, and No. 2 (2#) blast furnace supply. The gas-using equipment includes, but is not limited to, secondary thermal power plant, No. 1 blast furnace supply, and blast furnace gas venting. The line thickness indicates the flow rate, visually demonstrating how the gas from each gas source flows and is distributed to the various gas-using equipment in the complex gas pipeline network. For example, the gas supplied by No. 1 blast furnace is mostly distributed to secondary thermal power plant, a small portion to No. 1 blast furnace supply, and secondary thermal power plant is also allocated some gas supplied by No. 2 blast furnace.

[0044] Step S240: At each user point, determine the calorific value of the mixed gas at each user point based on the flow distribution value and calorific value detection value of the corresponding source point.

[0045] In one embodiment of the present invention, at the user point, the calorific value of the mixed gas at the user point is determined based on the flow distribution value and calorific value detection value of different corresponding source points, including: determining the total energy flowing into the user point based on the flow distribution value and calorific value detection value of the corresponding different source points; determining the total flow rate flowing into the user point based on the flow distribution value of the corresponding different source points; and determining the calorific value of the mixed gas at the user point based on the total energy and the total flow rate.

[0046] In one embodiment of the present invention, the calorific value of the mixed gas at the user point is as follows: Equation (1) in, For the first The calorific value of the mixed gas at each user point For the first The first source point flows into the first Traffic allocation value per user point For the first The calorific value detected at each source point This represents the total number of source points.

[0047] Step S250: At each user point, based on the corresponding calorific value of the mixed gas, determine the energy consumption efficiency of the gas-using equipment under different calorific value fluctuations. By clustering statistics, determine the operating parameters of the target energy consumption efficiency under different calorific value ranges and store historical reference data. The target energy consumption efficiency is obtained based on the ranking of multiple energy consumption efficiencies of the gas-using equipment.

[0048] In one embodiment of the present invention, the historical reference data includes operating parameters for the target energy consumption efficiency within each calorific value range. The historical reference data can be stored in a historical database.

[0049] In one embodiment of the present invention, at each user point, the energy consumption efficiency of the gas-using equipment under different calorific value fluctuations is determined based on the corresponding calorific value of the mixed gas. The operational parameters for the target energy consumption efficiency under different calorific value ranges are obtained through cluster analysis. This includes: determining the energy consumption efficiency of each user point based on the consumption flow rate, conversion energy, and mixed gas calorific value; performing cluster analysis on each user point based on the calorific value of each mixed gas and the corresponding energy consumption efficiency to obtain the operational parameters corresponding to the target energy consumption efficiency of each user point under different calorific value ranges; wherein, the consumption flow rate is used to characterize the flow rate value of the gas consumed by the corresponding user point in the monitoring parameters, the conversion energy is used to characterize the energy value converted after the corresponding user point consumes the gas in the monitoring parameters, and the target energy consumption efficiency includes the highest energy consumption efficiency or the energy consumption efficiency that meets the preset ranking range.

[0050] In one embodiment of the present invention, the gas consumption efficiency of the gas-using equipment, i.e. the user point, under different calorific value fluctuations can be calculated by calculating the calorific value of the mixed gas.

[0051] In one embodiment of the present invention, the energy consumption efficiency of the user point is as follows: Equation (2) in, For the first Energy consumption efficiency per user point For the first The calorific value of the mixed gas at each user point For the first The gas consumption flow rate of each user point For the first Energy conversion per user point.

[0052] In one embodiment of the present invention, the type of energy to be converted is determined according to the type of equipment at the user point. For example, if the equipment type at the user point is a boiler, then steam energy is generated; if the equipment type at the user point is a hot air furnace, then hot air energy is generated.

[0053] In one embodiment of the present invention, cluster analysis can be used to statistically analyze the operating parameter settings when energy consumption efficiency is high under different calorific value ranges.

[0054] In one embodiment of the present invention, the clustering analysis is as follows: Equation (3) in, For the first The range of the first heat value interval for each user point. For the first The second heat value range for each user point. For the first The first user point A range of calorific values. For the first The heat value range for each user point Within the range of calorific value Historical reference data on the highest energy consumption efficiency.

[0055] Step S260: Based on the current calorific value of the mixed gas at each user point, match the operating parameters corresponding to the target energy consumption efficiency from historical reference data to obtain operation optimization suggestions.

[0056] In one embodiment of the present invention, based on the current calorific value of the mixed gas at each user point, the operation parameters corresponding to the target energy consumption efficiency are matched from historical reference data to obtain operation optimization suggestions, including: matching the current calorific value of the mixed gas at the user point with the range of each calorific value range in the historical reference data to obtain the target range range; and determining the operation parameter with the highest energy consumption efficiency among the target energy consumption efficiencies within the target range as the operation optimization suggestion.

[0057] In one embodiment of the present invention, when operational guidance is required, the setting values ​​of the operational parameters corresponding to the historical reference data with the highest energy consumption efficiency are pushed as operational guidance suggestions.

[0058] Step S270: Determine the new calorific value of the mixed gas and the new energy consumption efficiency corresponding to the operation optimization suggestions, and update the target energy consumption.

[0059] In one embodiment of the present invention, after each operation is completed, the corresponding new calorific value of the mixed gas, energy consumption efficiency, and operating parameters are recorded and updated into the historical database as new data.

[0060] In one embodiment of the present invention, the topology of the gas pipeline network, calorific value tracking results, energy consumption efficiency, recommended operating parameters, etc., can be displayed graphically.

[0061] This invention enables hydraulic simulation calculations of gas pipeline networks by adding a small number of metering instruments and calorific value testing equipment, allowing for the tracking of the calorific value of mixed gas. Based on the calculated calorific value of the mixed gas, energy efficiency analysis and operational settings are performed on gas-using equipment. This ensures the accuracy of energy consumption efficiency calculations and provides a basis for setting operating parameters, thereby improving the overall energy consumption efficiency of gas-using equipment. Furthermore, it avoids the hardware and maintenance costs associated with adding a large number of calorific value testing devices.

[0062] Please see Figure 6 , Figure 6This is a block diagram of an energy efficiency operation device for a gas-using equipment provided in one embodiment of the present invention. This device can be applied to... Figure 1 The implementation environment shown is specifically configured in computer device 120. This device can also be applied to other exemplary implementation environments and specifically configured in other devices; this embodiment does not limit the implementation environment to which the device is applicable.

[0063] like Figure 6 As shown, an energy efficiency operation device 600 for a gas-using equipment according to an embodiment of the present invention includes: a parameter acquisition module 610, a hydraulic simulation module 620, a flow distribution determination module 630, a calorific value determination module 640, an energy efficiency statistics module 650, an optimization suggestion module 660, and a parameter update module 670.

[0064] The parameter acquisition module 610 is used to acquire monitoring parameters of the gas pipeline network. The monitoring parameters include multiple flow measurement values, multiple pressure measurement values, and calorific value detection values ​​at different gas generation sources. The flow measurement values ​​and pressure measurement values ​​are obtained from each gas generation source and different gas-using equipment. The hydraulic simulation module 620 is used to perform hydraulic simulation on the gas pipeline network based on various flow and pressure measurements to obtain the flow rate of multiple pipe sections and the pressure of multiple nodes in the gas pipeline network, and to determine the type of multiple nodes in the gas pipeline network. The type of each node includes the source point corresponding to the gas generation source and the user point corresponding to the gas usage equipment. The flow allocation determination module 630 is used to determine the allocation ratio of multiple pipe segments based on the flow of each pipe segment and the starting flow of the corresponding starting node, and to determine the flow allocation value from each source point to the corresponding user point based on each allocation ratio and the source flow of each source point. The starting flow and the source flow are determined based on the flow of each pipe segment. The calorific value determination module 640 is used to determine the calorific value of the mixed gas at each user point based on the flow distribution value and calorific value detection value of different corresponding source points. The energy efficiency statistics module 650 is used to determine the energy consumption efficiency of gas-using equipment under different calorific value fluctuations at each user point based on the corresponding mixed gas calorific value. It uses clustering statistics to obtain the operation parameters of the target energy consumption efficiency under different calorific value ranges and stores historical reference data. The target energy consumption efficiency is obtained based on the ranking of multiple energy consumption efficiencies of gas-using equipment. The optimization suggestion module 660 is used to match the operating parameters corresponding to the target energy consumption efficiency from historical reference data based on the current calorific value of the mixed gas at each user point, and obtain operation optimization suggestions. The parameter update module 670 is used to determine the new calorific value of the mixed gas and the new energy consumption efficiency corresponding to the operation optimization suggestions, and to update the historical reference data.

[0065] It should be noted that the energy efficiency operation device for the gas-using equipment provided in the above embodiments and the energy efficiency operation method for the gas-using equipment provided in the above embodiments belong to the same concept. The specific ways in which each module and unit performs operations have been described in detail in the method embodiments, and will not be repeated here. In practical applications, the energy efficiency operation device for the gas-using equipment provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above, and this is not a limitation here.

[0066] Embodiments of the present invention also provide an electronic device, including: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device enables the energy-efficient operation method of the gas-using equipment provided in the above embodiments.

[0067] Please see Figure 7 , Figure 7 This is a schematic diagram of the structure of a computer system for an electronic device provided in one embodiment of the present invention. Figure 7 The computer system 700 of the illustrated electronic device is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0068] like Figure 7 As shown, the computer system 700 includes a central processing unit 701, which can perform various appropriate actions and processes based on a program stored in a read-only memory 702 or a program loaded from a storage section 708 into a random access memory 703, such as executing the methods described in the above embodiments. The random access memory 703 also stores various programs and data required for system operation. The central processing unit 701, the read-only memory 702, and the random access memory 703 are interconnected via a bus 704. An input / output interface 705 is also connected to the bus 704.

[0069] The following components are connected to the input / output interface 705: an input section 706 including a keyboard, mouse, etc.; an output section 707 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 708 including a hard disk, etc.; and a communication section 709 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to the input / output interface 705 as needed. A removable medium 711, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 710 as needed so that computer programs read from it can be installed into the storage section 708 as needed.

[0070] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing computer programs for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 709, and / or installed from removable medium 711. When the computer program is executed by central processing unit 701, it performs various functions defined in the system of the present invention.

[0071] The computer-readable medium shown in the embodiments of the present invention can be a computer-readable signal medium, a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory (EPROM), flash memory, optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. Computer programs contained on computer-readable media can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0072] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. Each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0073] The units described in the embodiments of the present invention can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself. Therefore, the technical solutions according to the embodiments of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, portable hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, touch terminal, or network device, etc.) to execute the method according to the embodiments of the present invention.

[0074] Another aspect of the present invention provides a computer-readable storage medium storing a computer program thereon, which, when executed by a computer processor, causes the computer to perform the energy-efficient operation method of the gas-using equipment provided in the above embodiments. This computer-readable storage medium may be included in the electronic equipment described in the above embodiments, or it may exist independently and not incorporated into the electronic equipment.

[0075] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. An energy-efficient operation method for a gas-using device, characterized in that, The method includes: The monitoring parameters of the gas pipeline network are obtained, including multiple flow measurement values, multiple pressure measurement values, and calorific value detection values ​​at different gas generation sources. The flow measurement values ​​and the pressure measurement values ​​are obtained at each of the gas generation sources and at different gas-using equipment. Hydraulic simulation is performed on the gas pipeline network based on the flow rate measurement value and the pressure measurement value to obtain the flow rate of multiple pipe sections and the pressure of multiple nodes in the gas pipeline network, and to determine the type of multiple nodes in the gas pipeline network. The type of each node includes the source point corresponding to the gas generation source and the user point corresponding to the gas usage equipment. The allocation ratio of multiple pipe segments is determined based on the flow rate of each pipe segment and the starting flow rate of the corresponding starting node, and the flow allocation value from each source point to the corresponding user point is determined according to the allocation ratio and the source flow rate of each source point. The starting flow rate and the source flow rate are determined based on the flow rate of each pipe segment. At each user point, the calorific value of the mixed gas at each user point is determined based on the flow distribution value and calorific value detection value corresponding to the source point. At each user point, the energy consumption efficiency of the gas-using equipment under different calorific value fluctuations is determined according to the corresponding calorific value of the mixed gas. The operation parameters of the target energy consumption efficiency are obtained by clustering statistics under different calorific value ranges, and historical reference data is stored. The target energy consumption efficiency is obtained based on the ranking of multiple energy consumption efficiencies of the gas-using equipment. Based on the current calorific value of the mixed gas at each user point, the operating parameters corresponding to the target energy consumption efficiency are matched from the historical reference data to obtain operation optimization suggestions; The operation optimization recommendations correspond to the new calorific value of the mixed gas and the new energy consumption efficiency, and the historical reference data are updated.

2. The energy-efficient operation method of the gas-using equipment according to claim 1, characterized in that, Before obtaining monitoring parameters for the gas pipeline network, the following steps are also required: If any of the gas generation sources are missing calorific value detection equipment, then the calorific value detection equipment shall be supplemented to obtain the calorific value of each of the gas generation sources. The calorific value detection equipment includes a calorific value analyzer or a component analyzer. If any of the gas generation sources and gas usage devices are missing flow metering instruments, then the flow metering instruments shall be replaced to obtain the flow measurement values. If any of the gas generating sources or gas-using equipment are missing pressure measuring instruments, then the missing pressure measuring instruments shall be added to obtain the pressure measurement values.

3. The energy-efficient operation method of the gas-using equipment according to claim 1, characterized in that, Determining the types of multiple nodes in the gas pipeline network includes: The total flow rate into multiple nodes in the gas pipeline network is determined based on the flow rate of each pipe segment. Based on the pressure of each node and the total flow rate of each node, the source point corresponding to each gas generation source is determined in each node, so as to assign the corresponding pipeline flow rate to the source point; Based on the pressure and total flow of each node, the user point corresponding to each gas-using device is determined in each node.

4. The energy-efficient operation method of the gas-using equipment according to claim 1, characterized in that, The traffic allocation value from each source point to the corresponding user point is determined based on the allocation ratio and the source point traffic of each source point, including: Each of the aforementioned source points is sequentially identified as a target point; If one source point is the target point, then the other source points and their corresponding connecting pipe segments are ignored, and the flow allocation value from the target point to the corresponding user point is determined based on the source flow of the target point and the allocation ratio of the corresponding connecting pipe segments.

5. The energy-efficient operation method of the gas-using equipment according to claim 1, characterized in that, At the user point, the calorific value of the mixed gas at the user point is determined based on the flow distribution value and calorific value detection value corresponding to different source points, including: Based on the flow allocation value and calorific value detection value of the corresponding different source points, the total inflow energy into the user point is determined; The total inflow to the user point is determined based on the corresponding flow allocation values ​​of the different source points. The calorific value of the mixed gas at the user point is determined based on the total inflow energy and the total inflow flow rate.

6. The energy-efficient operation method of the gas-using equipment according to any one of claims 1-5, characterized in that, At each user point, based on the corresponding calorific value of the mixed gas, the energy consumption efficiency of the gas-using equipment under different calorific value fluctuations is determined. The operational parameters for the target energy consumption efficiency are obtained through clustering statistics across different calorific value ranges, including: The energy consumption efficiency of each user point is determined based on the consumption flow, conversion energy, and calorific value of the mixed gas at each user point. Based on the calorific value of each of the mixed gases and the corresponding energy consumption efficiency, cluster analysis is performed on each user point to obtain the operating parameters corresponding to the target energy consumption efficiency of each user point under different calorific value ranges. Wherein, the consumption flow rate is used to characterize the flow rate value of gas consumed by the corresponding user point in the monitoring parameters, the conversion energy is used to characterize the energy value converted after the corresponding user point consumes the gas in the monitoring parameters, and the target energy consumption efficiency includes the highest energy consumption efficiency or the energy consumption efficiency that meets the preset sorting range.

7. The energy-efficient operation method of the gas-using equipment according to claim 6, characterized in that, Based on the current calorific value of the mixed gas at each user point, the operating parameters corresponding to the target energy consumption efficiency are matched from the historical reference data to obtain operation optimization suggestions, including: The target range is obtained by matching the current calorific value of the mixed gas at the user point with the range of each calorific value in the historical reference data. The operating parameter with the highest energy consumption efficiency among the target energy consumption efficiencies within the target range is determined as the operation optimization suggestion.

8. An energy efficiency operation device for a gas-using equipment, characterized in that, The device includes: The parameter acquisition module is used to acquire monitoring parameters of the gas pipeline network. The monitoring parameters include multiple flow measurement values, multiple pressure measurement values, and calorific value detection values ​​at different gas generation sources. The flow measurement values ​​and the pressure measurement values ​​are obtained based on the gas generation sources and different gas-using equipment. The hydraulic simulation module is used to perform hydraulic simulation on the gas pipeline network based on the flow measurement values ​​and pressure measurement values, to obtain the flow rate of multiple pipe sections and the pressure of multiple nodes in the gas pipeline network, and to determine the type of multiple nodes in the gas pipeline network. The type of each node includes the source point corresponding to the gas generation source and the user point corresponding to the gas usage equipment. The flow allocation determination module is used to determine the allocation ratio of multiple pipe segments based on the flow of each pipe segment and the starting flow of the corresponding starting node, and to determine the flow allocation value from each source point to the corresponding user point according to each allocation ratio and the source flow of each source point, wherein the starting flow and the source flow are determined based on the flow of each pipe segment. The mixed gas calorific value determination module is used to determine the mixed gas calorific value at each user point based on the flow distribution value and calorific value detection value corresponding to different source points. The energy efficiency statistics module is used to determine the energy consumption efficiency of the gas-using equipment under different calorific value fluctuations at each user point based on the corresponding calorific value of the mixed gas. It performs clustering statistics on the operation parameters of the target energy consumption efficiency under different calorific value ranges and stores historical reference data. The target energy consumption efficiency is obtained based on the ranking of multiple energy consumption efficiencies of the gas-using equipment. The optimization suggestion module is used to match the operating parameters corresponding to the target energy consumption efficiency from the historical reference data based on the current calorific value of the mixed gas at each user point, and obtain operation optimization suggestions. The parameter update module is used to determine the new calorific value of the mixed gas and the new energy consumption efficiency corresponding to the operation optimization suggestions, and to update the historical reference data.

9. An electronic device, characterized in that, The electronic device includes: One or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to implement the energy-efficient operation method of the gas-using equipment as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, It stores a computer program, which, when executed by the computer's processor, causes the computer to perform the energy-efficient operation method of the gas-using equipment as described in any one of claims 1 to 7.

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