A smart gas flow control internet of things system, method, device and medium

Abstract

This invention provides a smart gas flow regulation and control IoT system, method, device, and medium. The method is executed by the gas company management platform of the smart gas flow regulation and control IoT system. The method includes: responding to the presence of gas characteristics in the gas data center, retrieving the gas characteristics, and generating the timeliness of the gas characteristics; generating first flow regulation parameters based on the gas characteristics and timeliness; and sending a flow regulation command to the flow regulation device based on the first flow regulation parameters to adjust the gas flow rate and gas pressure allocated to the gas pipeline to be regulated, wherein the gas in the gas pipeline to be regulated is mixed to generate mixed gas. This method can be implemented by a smart gas flow regulation and control IoT device. The method can also be executed by reading computer instructions stored in a computer-readable storage medium. The above system facilitates timely flow regulation, fully guarantees the gas flow regulation effect, and reduces problems such as flow regulation lag and untimely flow regulation.

Description

Technical Field

[0001] This specification relates to the field of pipeline monitoring, and in particular to an intelligent gas flow control Internet of Things system, method, device and medium. Background Technology

[0002] Natural gas supply systems typically utilize multiple gas sources, such as natural gas, hydrogen-blended fuel gas, liquefied petroleum gas (LPG), and coal gas, to meet the needs of different users. However, in practical applications, due to the diversity of gas sources, the combustion characteristics of the mixed gas (such as calorific value, temperature, and combustion rate) may change or become unstable, thus affecting the normal use of gas by users. Precise control and timely adjustment of gas flow are difficult to achieve through manual experience and periodic testing.

[0003] Therefore, it is desirable to provide an intelligent gas flow control IoT system, method, device, and medium that can achieve automatic intelligent gas mixing and delivery, timely flow adjustment, ensure flow adjustment effect, and improve user experience. Summary of the Invention

[0004] The invention includes an intelligent gas flow regulation and control IoT system, comprising a gas company management platform; the gas company management platform is configured to: determine whether there is a matching gas source with gas characteristics corresponding to the gas pipeline to be regulated in a gas data center; in response to the existence of the gas characteristics in the gas data center, retrieve the gas characteristics from the gas data center and generate the timeliness of the gas characteristics; generate a first flow regulation parameter based on the gas characteristics and the timeliness; and send a flow regulation command to the flow regulation device installed on the gas pipeline to be regulated based on the first flow regulation parameter, adjusting the gas flow rate and gas pressure allocated to the gas pipeline to be regulated, wherein the gas in the gas pipeline to be regulated is mixed to generate mixed gas.

[0005] The invention includes a smart gas flow regulation control method, the method comprising: determining whether there is a gas characteristic of a matching gas source corresponding to a gas pipeline to be regulated in a gas data center; in response to the existence of the gas characteristic in the gas data center, retrieving the gas characteristic from the gas data center and generating the timeliness of the gas characteristic; generating a first flow regulation parameter based on the gas characteristic and the timeliness; and sending a flow regulation command to a flow regulation device installed on the gas pipeline to be regulated based on the first flow regulation parameter, adjusting the gas flow rate and gas pressure allocated to the gas pipeline to be regulated, wherein the gas in the gas pipeline to be regulated is mixed in the gas pipeline to generate mixed gas.

[0006] The invention includes a smart gas flow regulation control device, the device comprising at least one processor and at least one memory; the at least one memory is used to store computer instructions; the at least one processor is used to execute at least a portion of the computer instructions to implement the smart gas flow regulation control method as described in any of the above embodiments.

[0007] The invention includes a computer-readable storage medium that stores computer instructions. When a computer reads the computer instructions from the storage medium, the computer executes a method for intelligent gas flow regulation control.

[0008] Beneficial effects: Responding to the gas characteristics present in the gas data center, the timeliness of generating gas characteristics is achieved; thereby generating the first flow regulation parameter, and then adjusting and allocating gas flow and gas pressure, which is conducive to timely flow regulation, fully ensuring the gas flow regulation effect, reducing flow regulation lag and untimely flow regulation, and improving the user experience. Attached Figure Description

[0009] This specification will be further described by way of exemplary embodiments, which will be described in detail with reference to the accompanying drawings. These embodiments are not limiting; in these embodiments, the same reference numerals denote the same structures, wherein:

[0010] Figure 1 This is a schematic diagram of the structure of an intelligent gas flow control IoT system according to some embodiments of this specification;

[0011] Figure 2 This is an exemplary flowchart of a smart gas flow regulation control method according to some embodiments of this specification;

[0012] Figure 3 These are exemplary schematic diagrams of a flow regulation model shown in some embodiments of this specification;

[0013] Figure 4 This is an exemplary flowchart illustrating the determination of updated gas characteristics according to some embodiments of this specification;

[0014] Figure 5 This is an exemplary schematic diagram of a flow control device according to some embodiments of this specification. Detailed Implementation

[0015] To more clearly illustrate the technical solutions of the embodiments in this specification, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are merely some examples or embodiments of this specification. For those skilled in the art, these drawings can be applied to other similar scenarios without creative effort. Unless obvious from the context or otherwise specified, the same reference numerals in the drawings represent the same structures or operations.

[0016] It should be understood that the terms “system,” “device,” “unit,” and / or “module” used herein are one way to distinguish different components, elements, parts, sections, or assemblies at different levels. However, if other terms can achieve the same purpose, they may be replaced by other expressions.

[0017] Flowcharts are used in this specification to illustrate the operations performed by the system according to embodiments of this specification. It should be understood that the preceding or following operations are not necessarily performed in exact order. Instead, the steps can be processed in reverse order or simultaneously. Furthermore, other operations can be added to these processes, or one or more steps can be removed from them.

[0018] Figure 1 This is a schematic diagram of the platform structure of an intelligent gas flow control IoT system according to some embodiments of this specification.

[0019] In some embodiments, such as Figure 1 As shown, the intelligent gas flow control Internet of Things system (hereinafter referred to as system 100) includes a government gas supervision and management platform 110, a government gas supervision sensor network platform 120, a government gas supervision object platform 130, a gas company sensor network platform 140, a gas equipment object platform 150, a gas user service platform 160, and a gas user platform 170, all connected by communication.

[0020] A government gas regulatory management platform is a platform used by the government to regulate and manage gas supply. In some embodiments, the government gas regulatory management platform can be configured as a processor, such as one or more combinations of a microcontroller, an embedded processor, a graphics processor, etc.

[0021] The government gas regulatory sensor network platform is a platform for sensing and communicating regulatory and control information. For example, the government gas regulatory sensor network platform can be configured as communication equipment, servers, etc.

[0022] In some embodiments, the government gas regulatory sensor network platform can interact with the government gas regulatory management platform and the government gas regulatory object platform. The government gas regulatory object platform is a platform used to provide data and control information related to gas usage, operation, and safety.

[0023] In some embodiments, the government's gas regulatory platform may include a gas company management platform 131. The gas company management platform refers to a platform that manages gas-related data of gas companies.

[0024] In some embodiments, the gas company's management platform is communicatively connected to the gas company's sensor network platform.

[0025] In some embodiments, the gas company's management platform is configured on the gas company's server, which houses a gas data center.

[0026] A server is a device that provides computing or application services to other devices. In some embodiments, a server can be configured as a single server or as a server group, etc. A server group can be centralized or distributed (e.g., the servers can be a distributed system). A server can be local or remote.

[0027] A gas data center is a database used by gas companies to collect and process gas data. In some embodiments, the gas data center may reside on a server where the gas company's management platform is located.

[0028] A gas company's sensor network platform refers to a platform for sensing and communicating information, as well as control information. For example, a gas company's sensor network platform can be configured as communication equipment, servers, etc.

[0029] In some embodiments, the gas company's sensor network platform can interact with the gas company's management platform and the gas equipment object platform.

[0030] A gas equipment object platform refers to a functional platform for generating sensing information and executing control information from gas equipment. For example, a gas equipment object platform can be configured as a user terminal, a user server, etc. The user terminal can include mobile phones, tablets, clients, web pages, etc. In some embodiments, the gas equipment object platform can be configured in gas-consuming households, gas gate stations, gas stations, gas pressure regulating stations, valve wells, gas filling stations, or gas pipeline network ancillary facilities.

[0031] In some embodiments, the gas equipment object platform is communicatively connected to flow control equipment and / or pipeline monitoring devices.

[0032] A flow regulating device is a device in a gas pipeline used to regulate the flow rate, pressure, etc., of gas. In some embodiments, one flow regulating device may correspond to one gas pipeline to be regulated.

[0033] A pipeline monitoring device is a device used to monitor pipeline-related data. In some embodiments, the pipeline monitoring device may include, but is not limited to, one or more of the following: pressure monitor, sensor, gas composition analyzer, flow meter, surveillance camera, calorific value analyzer, combustion efficiency measuring instrument, ultrasonic monitoring equipment, etc.

[0034] A gas user service platform is a platform used for information exchange between gas companies and gas users.

[0035] In some embodiments, the gas user service platform may be configured on the gas company's server.

[0036] A gas user platform refers to a platform that interacts with gas users. In some embodiments, the gas user platform can be configured in the gas user's terminal.

[0037] For more information about the above platforms, please refer to [link / reference]. Figures 2-5 And related explanations.

[0038] Based on System 100, communication connections can be established between various functional platforms, forming a closed loop of information operation. Under the unified management of the gas company's management platform, the systems can coordinate and operate in a regular manner, realizing the informatization and intelligentization of gas flow control.

[0039] Figure 2 This is an exemplary flowchart of a smart gas flow control method according to some embodiments of this specification. In some embodiments, process 200 is executed by a gas company management platform.

[0040] Step 210: Determine whether there is a matching gas source with the gas characteristics corresponding to the gas pipeline to be regulated in the gas data center.

[0041] Gas pipelines with adjustable flow rates refer to gas pipelines where the gas flow rate and gas pressure within the pipeline can be adjusted.

[0042] In some embodiments, a matching gas source corresponds to a gas pipeline to be regulated.

[0043] A matching gas source refers to the gas source corresponding to the gas pipeline to be regulated, which is matched with the mixed gas. For example, mixed gas A corresponds to two gas pipelines to be regulated. The gas in the two gas pipelines can be mixed together after regulation to obtain the mixed gas. The gas source corresponding to the two gas pipelines to be regulated is the matching gas source. A gas pipeline is a pipeline that delivers gas to gas users.

[0044] Gas characteristics refer to the features of the gas in the gas pipeline to be regulated. For example, gas characteristics include at least one of the following: gas type, calorific value, combustion rate, gas pressure, and combustion quality.

[0045] In some embodiments, the gas in the gas pipeline to be regulated can be a single type of gas or a mixture of gases. When it is a mixture of gases, the gas characteristics may also include the proportions of different types of gas.

[0046] In some embodiments, a matching gas source corresponds to a set of gas characteristics of a gas pipeline to be regulated.

[0047] For more information on mixed gas, please refer to [link / reference]. Figure 2 The relevant description of step 240.

[0048] In some embodiments, gas characteristics may further include effective gas characteristics. Effective gas characteristics refer to gas characteristics that characterize timeliness as effective. For more information on timeliness, please refer to [link to relevant documentation]. Figure 2 Step 220 related description.

[0049] In some embodiments, the pipeline monitoring device acquires the gas characteristics of the matching gas source corresponding to the gas pipeline to be regulated and stores them in the gas data center.

[0050] In some embodiments, the gas company management platform can retrieve and determine whether the gas data center contains gas characteristics of a matching gas source corresponding to the gas pipeline to be diverted. The gas data center can store both gas characteristics and historical gas characteristics. Gas characteristics refer to those stored more recently (e.g., stored for 30 days). Historical gas characteristics refer to those stored more recently (e.g., stored for more than one month). When the gas data center only contains historical gas characteristics of a matching gas source corresponding to the gas pipeline to be diverted, the gas company management platform determines that the gas data center does not contain gas characteristics of a matching gas source corresponding to the gas pipeline to be diverted. When the gas data center contains one or more gas characteristics of a matching gas source corresponding to the gas pipeline to be diverted, the gas company management platform determines that the gas data center contains gas characteristics of a matching gas source corresponding to the gas pipeline to be diverted.

[0051] Step 220: In response to the presence of gas characteristics in the gas data center, retrieve the gas characteristics from the gas data center and determine the timeliness of generating the gas characteristics.

[0052] Timeliness refers to the characteristic that characterizes whether the gas properties are effective during the current flow regulation process. For example, timeliness can be expressed as effective or ineffective.

[0053] In some embodiments, the gas company's management platform can generate timely information on gas characteristics based on early warning information from pipeline monitoring devices. Early warning information from pipeline monitoring devices refers to information such as changes in gas characteristics detected by the pipeline monitoring devices, or malfunctions in the pipeline monitoring devices.

[0054] For example, if the gas company's management platform receives fault information or information about drastic changes in gas characteristics from the pipeline monitoring device (such as drastic changes due to replacement or adjustment of the matching gas source), it will determine that the timeliness of the gas characteristics is invalid; otherwise, it will determine that it is valid.

[0055] In some embodiments, the gas company management platform can also generate the timeliness of gas characteristics based on the storage time of gas characteristics.

[0056] For example, a gas company's management platform can determine the time interval between the storage time of a gas characteristic and the current time. If the time interval exceeds a preset duration, the gas characteristic is deemed invalid. The preset duration refers to a pre-defined time interval for determining invalidity. For example, the preset duration could be 15 days.

[0057] Step 230: Generate the first flow regulation parameters based on the gas characteristics and timeliness.

[0058] The first flow regulation parameter refers to the parameters used to regulate different flow regulation devices on different gas pipelines to be regulated. In some embodiments, the first flow regulation parameter may include the gas flow rate and gas pressure corresponding to the different flow regulation devices on different gas pipelines to be regulated.

[0059] In some embodiments, the gas company management platform can generate the first flow adjustment parameter in various ways. For example, when the gas company management platform determines that the timeliness of the acquired gas characteristics is valid, it can determine the first flow adjustment parameter based on the gas characteristics using a first preset table. The first preset table may include gas characteristics, flow adjustment parameters, and the relationships between them. The gas company management platform can compile historical flow adjustment parameters and corresponding historical gas characteristics from historical flow adjustment data into the first preset table. Vectors are constructed for the gas characteristics and historical gas characteristics, and the similarity between the gas characteristic vector and the historical gas characteristic vector is calculated. The historical flow adjustment parameter corresponding to the historical gas characteristic with the highest similarity is used as the first flow adjustment parameter. Here, successful flow adjustment means that the mixing characteristics of the mixed gas in the gas pipeline reach the target mixing characteristics after flow adjustment. Similarity may include cosine similarity, Euclidean distance, etc. For information on mixing characteristics and target mixing characteristics, please refer to [link to relevant documentation]. Figure 3 .

[0060] In some embodiments, when the gas data center lacks gas characteristics, or one or more of the gas characteristics are invalid due to timeliness issues, the gas company's management platform can generate second flow control parameters based on historical gas mixing characteristics and historical flow control parameters. For more details, please refer to [link to relevant documentation]. Figure 2 The following is a related description.

[0061] Step 240: Based on the first flow regulation parameter, a flow regulation command is sent to the flow regulation device installed on the gas pipeline to be regulated, and the gas flow rate and gas pressure allocated to the gas pipeline to be regulated are adjusted. The gas in the gas pipeline to be regulated is mixed in the gas pipeline to generate mixed gas.

[0062] A flow regulation command is an instruction issued by a flow regulation device to regulate the flow of gas in a gas pipeline to be regulated. In some embodiments, the flow regulation command includes relevant signals of gas flow rate and gas pressure, etc., corresponding to different gas pipelines to be regulated.

[0063] Figure 5 This is an exemplary schematic diagram of a flow-regulating device according to some embodiments of this specification. Taking two gas pipelines to be regulated as an example, such as... Figure 5 As shown, the first gas pipeline 510 and the second gas pipeline 520 to be regulated can each be equipped with a flow regulating device. The gas company's management platform adjusts the gas flow rate and gas pressure of the first gas pipeline 510 and the second gas pipeline 520 to be regulated respectively through the first flow regulating device 511 and the second flow regulating device 521, so that the gas flow rate and gas pressure of the first gas pipeline 510 and the second gas pipeline 520 to be regulated reach the required values.

[0064] In some embodiments, the gases from multiple gas pipelines to be regulated are mixed in the gas pipelines to generate mixed gas. Mixed gas refers to gas obtained by mixing multiple types of gas. For example, mixed gas may be hydrogen-blended gas, etc.

[0065] In some embodiments, the gas company's management platform can mix the gas in the gas pipeline to be regulated to generate mixed gas. For example... Figure 5 As shown, the gas from the first gas pipeline 510 and the second gas pipeline 520 is transported to the gas pipeline 530 and mixed to generate mixed gas.

[0066] In some embodiments, in response to the absence of gas characteristics and / or timeliness (including invalidity) in the gas data center, the gas company management platform generates a second flow regulation parameter for a future time point based on the historical mixing characteristics and historical flow regulation parameters of the mixed gas; based on the second flow regulation parameter, it sends a flow regulation command to the flow regulation equipment through the gas equipment object platform via the gas company sensor network platform to pre-adjust the gas flow rate and gas pressure allocated to the gas pipeline to be regulated; and sends the second flow regulation parameter to the government gas regulatory management platform via the government gas regulatory sensor network platform.

[0067] It should be noted that since there may be more than one matching gas source, the timeliness of the gas characteristics of the corresponding matching gas source may also be more than one. The timeliness may include valid and / or invalid. Invalid timeliness means that the timeliness of the gas characteristics of at least one matching gas source is invalid.

[0068] Historical mixing characteristics refer to the gas characteristics of the mixed gas monitored at multiple historical time points. In some embodiments, historical mixing characteristics may include at least one of the following: mixed gas flow rate, mixed gas pressure, and mixed gas temperature.

[0069] In some embodiments, the gas company's management platform can directly obtain pre-stored historical gas mixing characteristics from the gas data center.

[0070] Historical flow control parameters refer to the flow control parameters corresponding to different flow control devices on different gas pipelines to be controlled, corresponding to historical mixing characteristics. For example, historical flow control parameters are the flow control parameters that have been applied to different flow control devices at a historical point in time. In some embodiments, one historical mixing characteristic corresponds to the historical flow control parameters of different flow control devices at a historical point in time.

[0071] In some embodiments, the gas company's management platform can determine historical flow adjustment parameters in various ways. For example, the gas company's management platform can directly obtain historical data from multiple historical time points, corresponding to a set of historical mixing characteristics and corresponding historical flow adjustment parameters for the same gas pipeline and the gas pipeline to be adjusted.

[0072] The second flow regulation parameter refers to the flow regulation parameters corresponding to different flow regulation devices on the gas pipeline to be regulated at different future time points.

[0073] In some embodiments, the gas company's management platform can generate the second flow regulation parameter in various ways. For example, the gas company's management platform can construct a historical mixing characteristic vector and a target mixing characteristic vector based on the historical mixing characteristics of the gas pipeline at multiple historical time points and the target mixing characteristic. The similarity between the historical mixing characteristic vector and the target mixing characteristic vector is calculated, and the historical flow regulation parameter corresponding to the historical mixing characteristic with the highest similarity is used as the second flow regulation parameter. Here, the target mixing characteristic refers to a pre-set mixing characteristic that meets the requirements.

[0074] In some embodiments, the gas company management platform also generates a second flow regulation parameter based on historical gas mixing characteristics, historical flow regulation parameters, and effective gas characteristics.

[0075] In some embodiments, the gas company management platform can filter out multiple historical gas mixing characteristics and corresponding sets of historical flow adjustment parameters that have a similarity greater than a similarity threshold. The gas company management platform obtains the historical gas characteristics of multiple gas pipelines to be adjusted corresponding to the above-mentioned sets of historical flow adjustment parameters, calculates the similarity between the historical gas characteristics and the effective gas characteristics of the gas pipelines to be adjusted that have the same effective gas characteristics, and uses the set of historical flow adjustment parameters with the highest similarity as the second flow adjustment parameter.

[0076] Based on historical gas mixing characteristics, historical flow regulation parameters, and effective gas characteristics, a second flow regulation parameter is generated, which helps to more rationally determine the second flow regulation parameter that meets the needs of gas users.

[0077] In some embodiments, the gas company management platform determines a third flow adjustment parameter that meets preset conditions based on the gas source type and gas source physical state of invalid and invalid matching gas sources, as well as the effective gas characteristics, through the gas data center; and generates a second flow adjustment parameter based on the third flow adjustment parameter.

[0078] Gas source types include one of the following: natural gas, petroleum gas, coal gas, or hydrogen-blended fuel gas. Gas source physical state refers to the physical state of the gas source. Gas source physical states include gaseous and liquid states.

[0079] In some embodiments, the gas company management platform can obtain the gas source type and gas source physical state of invalid and invalid matching gas sources through the gas data center.

[0080] In some embodiments, the gas company management platform can determine the third flow regulation parameter in multiple ways. For example, the gas company management platform can obtain the gas source type and gas source physical state of invalid matching gas sources; based on the gas source type and gas source physical state of the invalid matching gas sources and the characteristics of valid gas, it can filter out multiple historical flow regulation data and corresponding multiple historical flow regulation parameters in the gas data center that are the same as the gas source type and gas source physical state of the invalid matching gas sources and have a similarity to the characteristics of valid gas greater than a similarity threshold; according to preset conditions, it can filter out historical flow regulation parameters that meet the preset conditions from the multiple historical flow regulation parameters as the third flow regulation parameter. The similarity threshold can be preset by the gas company management platform based on a default value.

[0081] Preset conditions refer to the pre-defined criteria for selecting the third flow regulation parameters. The third flow regulation parameters refer to the equipment parameters of the flow regulation equipment selected from the gas data center.

[0082] In some embodiments, the preset conditions include the actual effective value of the third flow regulation parameter being greater than a preset threshold, and the actual effective value being determined based on gas user feedback information. More information regarding gas user feedback information can be found at [link to relevant documentation]. Figure 2 And its related descriptions.

[0083] The actual effective value refers to a parameter that reflects the degree to which the third flow regulation parameter meets the needs of gas users. The actual effective value can be expressed numerically. For example, the actual effective value can be a value between 0 and 1. The closer the value is to 1, the more the third flow regulation parameter meets the needs of gas users.

[0084] In some embodiments, a historical flow control parameter corresponds to an actual valid value.

[0085] In some embodiments, the gas company's management platform can determine different actual effective values ​​corresponding to different historical flow control parameters based on gas users' gas usage feedback information.

[0086] In some embodiments, the actual effective value is inversely proportional to the amount of gas usage feedback information and directly proportional to the feedback time interval. For example, the actual effective value can be determined by the following formula (1):

[0087] (1)

[0088] in, This is the actual effective value. The number of time intervals between user feedback time and the start time of data transfer. The number representing the range of time intervals. The severity coefficient corresponding to the range specified in the time interval. The number of gas consumption feedback messages corresponding to the time interval range. For index, The feedback time interval corresponding to the range of time intervals is... The total number of gas users is represented by the feedback time interval, which can be an average value. For example, the feedback time interval could be 1 minute, 10 minutes, etc. The longer the feedback time interval, the more data the gas company's management platform processes. The severity coefficient is a coefficient related to the degree of impact of gas usage feedback information. The severity coefficient can be expressed numerically (e.g., 0.2, 0.5, or 1), with the value closer to 1 indicating a higher degree of impact from the gas usage feedback information. The severity coefficient can be determined by technical personnel based on experience.

[0089] The number of time intervals between user feedback time and the start time of gas diversion can include the statistical number of time intervals. For example, gas usage feedback information within 1 minute 2 hours after diversion is considered the gas usage feedback information for the first time interval, and gas usage feedback information within 1 minute 6 hours after diversion is considered the gas usage feedback information for the second time interval. The number of time intervals in this case... .

[0090] The preset threshold refers to the threshold value of the actual effective value that is set in advance.

[0091] The preset condition is that the actual effective value of the third flow adjustment parameter is greater than the preset threshold, and the actual effective value is determined by the gas user's gas consumption feedback information. This helps to fully consider the user's actual gas consumption needs, thereby making the adjustment of the second flow adjustment parameter more in line with reality.

[0092] In some embodiments, the gas company's management platform can determine the second flow regulation parameter based on the third flow regulation parameter. For example, the gas company's management platform can use the third flow regulation parameter with the largest actual effective value as the second flow regulation parameter.

[0093] Based on the gas source type and physical state of the invalid and invalid matched gas source, as well as the effective gas characteristics, and by determining the third flow regulation parameter that meets the preset conditions through the gas data center, the second flow regulation parameter is generated. This helps to determine a more reasonable and realistic effective flow regulation value. Based on the magnitude of the effective flow regulation value, the rationality of the third flow regulation parameter is determined, thereby determining the second flow regulation parameter that best meets the needs of most gas users.

[0094] In some embodiments, the gas company management platform can also determine the estimated effective value based on the target mixing characteristics and at least one candidate flow regulation parameter, using a flow regulation model; and determine a second flow regulation parameter based on the estimated effective value. For more details, please refer to [link to relevant documentation]. Figure 3 And its related descriptions.

[0095] In response to the absence of gas characteristics and / or timeliness in the gas data center, including invalidity; based on historical gas mixing characteristics and historical flow regulation parameters, a second flow regulation parameter is generated, which is helpful to determine the flow regulation parameter under different scenarios, thereby providing a reasonable reference for the current flow regulation and further improving the user experience.

[0096] In response to the gas characteristics present in the gas data center, the timeliness of the gas characteristics is generated; then the first flow regulation parameter is generated, and the gas flow and gas pressure are adjusted and allocated, which is conducive to timely flow regulation, fully ensuring the gas flow regulation effect, reducing flow regulation lag and untimely flow regulation, and improving the user experience.

[0097] Figure 3 This is an exemplary schematic diagram of a flow regulation model shown according to some embodiments of this specification.

[0098] In some embodiments, such as Figure 3 As shown, the gas company management platform determines the estimated effective values ​​330 corresponding to the multiple candidate flow adjustment parameters through the flow adjustment model 320 based on the target gas mixing characteristics 310 and multiple candidate flow adjustment parameters 312; and determines the second flow adjustment parameter 340 based on the estimated effective value 330.

[0099] A flow control model is a model used to determine the estimated effective values ​​of multiple candidate flow control parameters. In some embodiments, the flow control model can be a machine learning model. For example, the flow control model can be one or a combination of neural network (NN) models, graph neural network (GNN) models, etc.

[0100] In some embodiments, the input to the flow regulation model 320 can be the target mixing characteristics 310 and a plurality of candidate flow regulation parameters 312, and the output can be the estimated effective values ​​330 corresponding to the plurality of candidate flow regulation parameters respectively.

[0101] Candidate flow control parameters are a series of parameters to be determined as the second flow control parameter. For more information on target mixing characteristics, second flow control parameters, etc., please refer to [link to relevant documentation]. Figure 2 And its related descriptions.

[0102] In some embodiments, the gas company's management platform can determine candidate flow regulation parameters based on multiple methods. For example, the gas company's management platform can determine multiple historical flow regulation parameters with a similarity greater than a similarity threshold as candidate flow regulation parameters. The similarity threshold can be set by default by the gas company's management platform or preset by technical personnel based on experience. More information on historical flow regulation parameters can be found in [link to relevant documentation]. Figure 2 And its related descriptions.

[0103] The estimated effective value is a parameter used to reflect the extent to which candidate flow regulation parameters meet the needs of downstream gas users.

[0104] In some embodiments, the flow regulation model can be trained based on flow regulation training samples and flow regulation labels. The flow regulation training samples include sample gas mixing characteristics and sample flow regulation parameters, and the flow regulation labels include sample valid values.

[0105] In some embodiments, the flow control model can be trained using a large number of flow control training samples labeled with flow control information, through various feasible methods. For example, parameters can be updated using gradient descent. An exemplary training process includes: obtaining multiple flow control training samples labeled with flow control information; inputting the multiple flow control training samples labeled with flow control information into an initial flow control model; constructing a loss function based on the labels and the results of the initial flow control model; and iteratively updating the parameters of the initial flow control model based on the loss function using gradient descent or other methods. The model training is complete when preset conditions are met, resulting in a trained flow control model. These preset conditions may include loss function convergence, the number of iterations reaching a threshold, etc.

[0106] In some embodiments, flow regulation training samples can be determined based on historical data. For example, a gas company management platform can determine two or more flow regulation training sample sets based on historical gas mixing characteristics and historical flow regulation parameters, and use multiple flow regulation training sets for alternating training. One flow regulation training sample set corresponds to samples when there are no matching gas source gas characteristics; the other flow regulation training sample set corresponds to samples when the timeliness of at least one matching gas source gas characteristics is invalid.

[0107] In some embodiments, the flow adjustment label can be the valid value of a sample corresponding to a flow adjustment training sample. The flow adjustment label can be determined based on historical data. For example, the flow adjustment label can be the average of the actual valid values ​​obtained after multiple flow adjustments at different times, generated based on gas usage feedback information corresponding to the sample flow adjustment parameters. More information on gas usage feedback information and actual valid values ​​can be found in [link to relevant documentation]. Figure 2 And its related descriptions.

[0108] By training the flow regulation model based on the flow regulation training samples and flow regulation labels, a more accurate flow regulation model can be obtained. This enables the flow regulation model to more accurately predict and estimate effective values, optimize the second flow regulation parameter, improve system efficiency and accuracy, and meet complex and ever-changing gas mixing requirements.

[0109] In some embodiments, the input to the flow control model may also include attachment data. See [link to attachment data section] for more information. Figure 4 And its related descriptions.

[0110] In some embodiments, when the input to the flow control model also includes attachment data, the flow control training samples also include sample attachment data.

[0111] Considering that pipe deposits can also affect gas-air mixing characteristics, such as calorific value, temperature, and combustion rate, the reliability of the model output can be further improved by using deposit data as input to the flow regulation model.

[0112] In some embodiments, the gas company's management platform can determine the second flow regulation parameter based on the estimated effective value through various methods. For example, the gas company's management platform can determine the candidate flow regulation parameter corresponding to the estimated effective value with the largest value as the second flow regulation parameter.

[0113] A well-trained flow regulation model can quickly and accurately generate estimated effective values ​​for different candidate flow regulation parameters. Based on the magnitude of the estimated effective values, it is beneficial to quickly and accurately select the optimal flow regulation parameter that conforms to reality from the candidate flow regulation parameters as the second flow regulation parameter.

[0114] Figure 4 This is a flowchart illustrating the determination and updating of gas characteristics according to some embodiments of this specification. In some embodiments, process 400 may be executed by a gas company management platform.

[0115] Step 410: Obtain gas usage feedback information from gas users corresponding to downstream gas pipelines.

[0116] Downstream gas pipelines refer to gas pipelines located downstream of the main gas pipeline. Gas users refer to multiple gas users connected to a downstream gas pipeline.

[0117] Gas usage feedback information refers to negative feedback from gas users after using gas. In some embodiments, gas usage feedback information may include severity ratings and feedback intervals. For information on severity ratings and feedback intervals, please refer to [link to relevant documentation]. Figure 2 .

[0118] In some embodiments, gas users input gas usage feedback information through the gas user platform.

[0119] Step 420: Send a collection command to collect attachment data and / or retrieve attachment data from the gas data center.

[0120] For more information on pipeline monitoring devices and gas data centers, please refer to [link / reference needed]. Figure 1 Related descriptions.

[0121] The data collection command is a command used to collect data on deposits. Deposits data refers to relevant data on deposits within the gas pipeline to be regulated. Deposits can be impurities on the inner wall of the gas pipeline. These impurities may mix into the gas and affect its quality.

[0122] In some embodiments, the attachment data may include at least one of the following: attachment type, attachment thickness, etc.

[0123] In some embodiments, the pipeline monitoring device can be used to collect attachment data.

[0124] In some embodiments, the gas company's management platform can acquire deposit data through pipeline monitoring devices. In some embodiments, the gas company's management platform can also retrieve deposit data directly from the gas data center.

[0125] Step 430: Based on gas usage feedback information and deposit data, re-determine and update the gas characteristics.

[0126] Updating gas characteristics refers to the updated gas characteristics.

[0127] In some embodiments, the gas company management platform can update the gas characteristics stored in the gas data center to update the gas characteristics.

[0128] In some embodiments, the gas company's management platform can determine the updated gas characteristics of the matching gas source in various ways. For example, after gas diversion, the gas company's management platform obtains gas usage feedback information from gas users corresponding to the gas pipeline, as well as attachment data of the gas pipeline to be diverted. Based on the gas usage feedback information and the attachment data, the updated gas characteristics of the matching gas source for different gas pipelines to be diverted are determined.

[0129] In some embodiments, the gas company management platform can determine the updated gas characteristics of the matching gas source for different gas pipelines to be regulated in various ways. The updated gas characteristics are inversely proportional to the deposit influence coefficient and inversely proportional to the amount of gas consumption feedback information. For example, the gas company management platform can determine the updated gas characteristics of the matching gas source for different gas pipelines to be regulated using the following formula (2):

[0130] (2)

[0131] Where F represents the characteristics of the regenerated gas, A represents the characteristics of the gas, and k represents the influence coefficient of the adhering substances. For more information on d, please refer to the relevant description of formula (1).

[0132] In some embodiments, gas characteristics can be obtained directly from historically monitored gas characteristics and / or retrieved from a gas data center.

[0133] In some embodiments, the gas company management platform can determine the attachment influence coefficient by querying an attachment influence table based on attachment data. The attachment influence table includes attachment data for different gas pipelines to be regulated, attachment influence coefficients, and their corresponding relationships. The attachment influence table can be constructed based on historical pipeline operation data. For example, the gas company management platform obtains historical pipeline operation data with similar or identical gas characteristics, monitors similar or identical historical attachment data, and the corresponding actual effective values. Multiple similar or identical historical attachment data are treated as a single historical attachment data, and the average value (1 - actual effective value) of these multiple historical pipeline operation data is used as the attachment influence coefficient for that historical attachment data, thereby constructing the attachment influence table. Historical pipeline operation data refers to all data from historical pipeline operation. Historical pipeline operation data includes historical flow regulation data, etc. The gas company management platform can directly obtain historical pipeline operation data through the gas data center. The gas company management platform can construct vectors based on historical attachment data, determine the cosine similarity of multiple vectors, and identify historical attachment data corresponding to vectors with a cosine similarity greater than 0.8 as similar historical attachment data.

[0134] In some embodiments, the gas company's management platform can redetermine and update gas characteristics based on gas usage feedback information and deposit data using a preset algorithm.

[0135] A preset algorithm refers to a pre-defined algorithm that determines and updates the characteristics of the gas, such as an inference statistical algorithm.

[0136] In some embodiments, the gas company's management platform can obtain the gas characteristics of the gas pipeline to be regulated from the gas data center. Based on gas consumption feedback information, the difference between the updated gas characteristics and the original gas characteristics is determined; for example, the magnitude of the difference between the updated gas characteristics and the original gas characteristics is directly proportional to the amount of gas consumption feedback information. The updated gas characteristics are determined using a preset algorithm. Here, gas characteristics refer to the gas characteristics collected at the previous time point. The updated gas characteristics are inversely proportional to the inference coefficient, the amount of gas consumption feedback information, and the impact coefficient of deposits, and directly proportional to the feedback time interval.

[0137] For example, the preset algorithm can be represented by the following formula (3):

[0138] (3)

[0139] in, For any updated gas characteristics, such as calorific value, combustion rate, gas pressure, etc. Due to the characteristics of gas, These are the inference coefficients corresponding to the range described in the time interval. Regarding... ， ， ， ， , For more details, please refer to the relevant descriptions of formulas (1) and (2).

[0140] The inference coefficient is a coefficient related to gas consumption feedback information. The inference coefficient can reflect the size of the gas user group corresponding to the gas consumption feedback information.

[0141] In some embodiments, the gas company management platform can determine the inference coefficient in various ways. For example, the gas company management platform can obtain the geographical coordinates and geographical distance of the gas users whose gas consumption feedback information belongs to the same point in time; generate the flow adjustment impact range based on the geographical coordinates and geographical distance of these gas users; and generate the inference coefficient based on the number of gas users within the flow adjustment impact range.

[0142] The affected area of ​​the flow regulation can be a circular region, with the gas pipeline at its center and the diameter being the geographical distance between the geographical coordinates of the two farthest gas users in the gas delivery area corresponding to that gas pipeline.

[0143] The inference coefficient can characterize the likelihood that gas users within the affected area of ​​the flow regulation will be negatively impacted by the flow regulation. In some embodiments, the inference coefficient can be represented by the ratio between the number of gas users within the affected area of ​​the flow regulation and the number of gas users who have sent gas consumption feedback information.

[0144] Based on gas usage feedback information and attached material data, the gas characteristics are redefined and updated through a preset algorithm. This takes into account that gas usage feedback information may not exist and may not be representative. It can determine the inference coefficient that represents most gas users, and thus determine gas characteristics that are more consistent with reality.

[0145] Step 440: Based on the preset update cycle, update the gas characteristics stored in the gas data center to the updated gas characteristics.

[0146] The preset update cycle refers to the pre-set cycle for updating gas characteristics.

[0147] In some embodiments, the gas company management platform can determine the preset update cycle by querying a cycle table. In some embodiments, the cycle table may include the timeliness of gas characteristics for different matching gas sources, the quantity of different gas consumption feedback information, the thickness of deposits in different deposit data, and the corresponding preset update cycle for gas characteristics (e.g., 1 day, 7 days, etc.), as well as the relationships between them. In some embodiments, the cycle table can be constructed based on historical data. For example, the gas company management platform can use historical data to determine the preset update cycle in the cycle table if, after updating according to a certain adjusted historical update cycle, subsequent gas consumption feedback information significantly decreases (e.g., decreases by 80%) for the timeliness of gas characteristics for different matching gas sources, the quantity of different gas consumption feedback information, and the thickness of deposits in different deposit data.

[0148] Based on the obtained gas consumption feedback information and attached material data, the gas characteristics are redefined and updated periodically. This helps to fully consider the differences between known gas characteristics or historically stored gas characteristics and actual gas characteristics, and allows for the determination of more realistic updated gas characteristics. This provides effective data support for determining reasonable gas flow control parameters.

[0149] It should be noted that the above descriptions of processes 200 and 400 are for illustrative purposes only and do not limit the scope of this specification. Those skilled in the art can make various modifications and changes to processes 200 and 400 under the guidance of this specification. However, these modifications and changes remain within the scope of this specification.

[0150] This specification provides one or more embodiments of a computer-readable storage medium that stores computer instructions. When a computer reads the computer instructions from the storage medium, the computer executes a smart gas flow regulation and control method.

[0151] The basic concepts have been described above. Obviously, for those skilled in the art, the detailed disclosure above is merely illustrative and does not constitute a limitation of this specification. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements, and corrections to this specification. Such modifications, improvements, and corrections are suggested in this specification and therefore remain within the spirit and scope of the exemplary embodiments described herein.

[0152] Furthermore, unless expressly stated in the claims, the order of processing elements and sequences, the use of numbers and letters, or other names described in this specification are not intended to limit the order of the processes and methods described herein. Although various examples have been discussed in the foregoing disclosure of some embodiments of the invention that are currently considered useful, it should be understood that such details are for illustrative purposes only, and the appended claims are not limited to the disclosed embodiments; rather, the claims are intended to cover all modifications and equivalent combinations that conform to the spirit and scope of the embodiments described herein. For example, while the system components described above can be implemented using hardware devices, they can also be implemented solely using software solutions, such as installing the described system on existing servers or mobile devices.

[0153] Similarly, it should be noted that, in order to simplify the description disclosed herein and thus aid in the understanding of one or more embodiments of the invention, the foregoing description of embodiments in this specification may sometimes combine multiple features into a single embodiment, drawing, or description thereof. However, this method of disclosure does not imply that the subject matter of this specification requires more features than those mentioned in the claims. In fact, the embodiments contain fewer features than all the features of a single embodiment disclosed above.

[0154] In some embodiments, numbers describing the quantity of components and attributes are used. It should be understood that such numbers used in the description of embodiments are modified in some examples with the terms "approximately," "approximately," or "generally." Unless otherwise stated, "approximately," "approximately," or "generally" indicates that the numbers are allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which may be changed depending on the characteristics required by individual embodiments. In some embodiments, numerical parameters should take into account specified significant digits and employ a general method of digit reservation. Although the numerical ranges and parameters used to confirm their breadth of range in some embodiments of this specification are approximate values, in specific embodiments, such values ​​are set as precisely as feasible.

[0155] Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments described herein. Other variations may also fall within the scope of this specification. Therefore, alternative configurations of the embodiments described herein are intended to be illustrative rather than limiting, and should be considered consistent with the teachings of this specification. Accordingly, the embodiments described herein are not limited to those explicitly introduced and described herein.

Claims

1. A smart gas flow regulation and control Internet of Things system, characterized in that, The system includes a gas company management platform; The gas company management platform is configured as follows: Determine the gas characteristics of the matching gas source corresponding to the gas pipeline to be diverted in the gas data center; In response to the presence of the gas characteristic in the gas data center, the gas characteristic is retrieved from the gas data center, and the timeliness of the gas characteristic is generated; the timeliness includes valid and invalid. Based on the gas characteristics and the timeliness, flow regulation parameters are generated, including a first flow regulation parameter and a second flow regulation parameter at a future time point; When it is determined that the timeliness corresponding to the obtained gas characteristics is valid, the first flow regulation parameter is determined based on the gas characteristics through a first preset table; wherein, the historical flow regulation parameters and corresponding historical gas characteristics of successful flow regulation in the historical flow regulation data are organized into the first preset table; a vector is constructed for the gas characteristics and the historical gas characteristics, the similarity between the gas characteristic vector and the historical gas characteristic vector is calculated, and the historical flow regulation parameter corresponding to the historical gas characteristic with the largest similarity is taken as the first flow regulation parameter; Based on the first flow regulation parameter, a flow regulation command is sent to the flow regulation device installed on the gas pipeline to be regulated, and the gas flow rate and gas pressure allocated to the gas pipeline to be regulated are adjusted. The gas in the gas pipeline to be regulated is mixed in the gas pipeline to generate mixed gas. In response to the absence of the gas characteristics and / or the timeliness including invalidity in the gas data center, the second flow regulation parameter is generated based on the historical mixing characteristics and historical flow regulation parameters of the mixed gas; based on the historical mixing characteristics of the gas pipeline at multiple historical time points and the target mixing characteristics, a historical mixing characteristic vector and a target mixing characteristic vector are constructed; the similarity between the historical mixing characteristic vector and the target mixing characteristic vector is calculated, and the historical flow regulation parameter corresponding to the historical mixing characteristic with the highest similarity is used as the second flow regulation parameter; Based on the second flow regulation parameter, the flow regulation command is sent to the flow regulation device to pre-adjust the gas flow rate and gas pressure allocated to the gas pipeline to be regulated; and, The second flow regulation parameter is sent to the government gas regulatory management platform via the government gas regulatory sensor network platform.

2. The system as described in claim 1, characterized in that, The gas characteristics include effective gas characteristics, and the gas company management platform is further configured to: The second flow regulation parameter is generated based on the historical gas mixing characteristics, the historical flow regulation parameters, and the effective gas characteristics.

3. The system as described in claim 1, characterized in that, The system also includes a gas equipment object platform and a pipeline monitoring device connected in communication. The gas company management platform is connected in communication with the gas equipment object platform, and the gas company management platform is further configured to: Obtain gas usage feedback information from gas users corresponding to downstream gas pipelines; Send a collection command to collect deposit data based on the pipeline monitoring device, and / or retrieve the deposit data from the gas data center; Based on the gas consumption feedback information and the attached material data, the gas characteristics are redefined and updated. as well as, Based on a preset update cycle, the gas characteristics stored in the gas data center are updated to the updated gas characteristics.

4. A smart gas flow regulation and control method, characterized in that, The method includes: Determine the gas characteristics of the matching gas source corresponding to the gas pipeline to be diverted in the gas data center; In response to the presence of the gas characteristic in the gas data center, the gas characteristic is retrieved from the gas data center, and the timeliness of the gas characteristic is generated; the timeliness includes valid and invalid. Based on the gas characteristics and the timeliness, flow regulation parameters are generated, including a first flow regulation parameter and a second flow regulation parameter at a future time point. When it is determined that the timeliness corresponding to the acquired gas characteristics is valid, the first flow regulation parameter is determined based on the gas characteristics through a first preset table. Specifically, the historical flow regulation parameters and corresponding historical gas characteristics of successfully regulated gas are compiled into the first preset table. A vector is constructed for the gas characteristics and the historical gas characteristics, and the similarity between the gas characteristic vector and the historical gas characteristic vector is calculated. The historical flow regulation parameter corresponding to the historical gas characteristic with the highest similarity is used as the first flow regulation parameter. Based on the first flow regulation parameter, a flow regulation command is sent to the flow regulation device installed on the gas pipeline to be regulated, and the gas flow rate and gas pressure allocated to the gas pipeline to be regulated are adjusted. The gas in the gas pipeline to be regulated is mixed in the gas pipeline to generate mixed gas. In response to the absence of the gas characteristics and / or the timeliness including invalidity in the gas data center, the second flow regulation parameter is generated based on the historical mixing characteristics and historical flow regulation parameters of the mixed gas; based on the historical mixing characteristics of the gas pipeline at multiple historical time points and the target mixing characteristics, a historical mixing characteristic vector and a target mixing characteristic vector are constructed; the similarity between the historical mixing characteristic vector and the target mixing characteristic vector is calculated, and the historical flow regulation parameter corresponding to the historical mixing characteristic with the highest similarity is used as the second flow regulation parameter; Based on the second flow regulation parameter, the flow regulation command is sent to the flow regulation device to pre-adjust the gas flow rate and gas pressure allocated to the gas pipeline to be regulated; and, The second flow regulation parameter is sent to the government gas regulatory management platform via the government gas regulatory sensor network platform.

5. The method as described in claim 4, characterized in that, The gas characteristics include effective gas characteristics, and the method further includes: The second flow regulation parameter is generated based on the historical gas mixing characteristics, the historical flow regulation parameters, and the effective gas characteristics.

6. The method as described in claim 4, characterized in that, The method further includes: Obtain gas usage feedback information from gas users corresponding to downstream gas pipelines; Send a collection command to collect attachment data and / or retrieve the attachment data from the gas data center; Based on the gas consumption feedback information and the attached material data, the updated gas characteristics are determined; and, Based on a preset update cycle, the gas characteristics stored in the gas data center are updated to the updated gas characteristics.

7. A smart gas flow regulation and control device, characterized in that, The device includes at least one processor and at least one memory; The at least one memory is used to store computer instructions; The at least one processor is configured to execute at least a portion of the computer instructions to implement the method as described in any one of claims 4 to 6.

8. A computer-readable storage medium, characterized in that, The storage medium stores computer instructions. When the computer reads the computer instructions from the storage medium, the computer executes the method as described in any one of claims 4 to 6.

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