CN117850491B - Automatic pressure regulating control method and system for fuel gas transmission and distribution - Google Patents
Automatic pressure regulating control method and system for fuel gas transmission and distribution Download PDFInfo
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Abstract
The disclosure provides an automatic pressure regulating control method and system for gas transmission and distribution, and relates to the technical field of intelligent pressure regulating control, wherein the method comprises the following steps: loading user side pipeline state information of the pressure regulating valve, including gas flow, pipeline temperature and lower-stage valve opening; the gas flow, the pipeline temperature and the lower-stage valve opening are sent to a service end, and pipeline prediction pressure is generated through a pipeline pressure predictor; judging whether the predicted pressure of the pipeline belongs to an expected pressure interval or not; if the gas flow does not belong to the target gas flow, optimizing the gas flow, generating the target gas flow, sending the target gas flow to an execution end, and controlling the opening of the pressure regulating valve according to the target gas flow. The technical problems that the automatic pressure regulation control cannot be rapidly and accurately performed due to lower accuracy of the collected pressure monitoring data and larger hysteresis of the automatic pressure regulation control can be solved, the accuracy of the acquisition of the pressure monitoring data can be improved, the hysteresis of the automatic pressure regulation control can be reduced, and the rapid and accurate automatic pressure regulation control can be realized.
Description
Technical Field
The disclosure relates to the technical field of intelligent pressure regulation control, in particular to an automatic pressure regulation control method and system for fuel gas transmission and distribution.
Background
In the gas transmission and distribution process, automatic pressure regulation control is an important technical means, and the automatic regulation of pipeline pressure is completed by sensing the pressure change in a gas pipeline, so that the stability and safety of gas transmission and distribution can be ensured, and the gas supply quality is improved.
The traditional automatic pressure regulation control method generally relies on real-time monitoring data of a pressure gauge to regulate the pressure of a pipeline, and the pressure gauge is easily interfered by external environment factors, so that the error probability of the pressure monitoring data is high, and the control precision during automatic pressure regulation is affected; meanwhile, the monitoring data of the pressure gauge is uploaded to the server for processing and then subjected to pressure regulation, so that the time for pressure regulation control is delayed, and the pressure regulation control hysteresis is high.
In summary, the existing automatic pressure regulating control method for gas distribution cannot quickly and accurately perform automatic pressure regulating control due to low accuracy of collected pressure monitoring data and large hysteresis of automatic pressure regulating control.
Disclosure of Invention
The purpose of the present disclosure is to provide an automatic pressure regulating control method and system for gas transmission and distribution, which are used for solving the technical problem that the existing automatic pressure regulating control method for gas transmission and distribution cannot quickly and accurately perform automatic pressure regulating control due to lower accuracy of collected pressure monitoring data and larger hysteresis of automatic pressure regulating control.
In view of the above, the present disclosure provides an automatic pressure regulating control method and system for gas distribution.
In a first aspect, the present disclosure provides an automatic pressure regulating control method for gas delivery, the method being implemented by an automatic pressure regulating control system for gas delivery, the system including a service end and an execution end, the execution end being configured to control a first pressure regulating valve, wherein the method includes: loading user side pipeline state information of a first pressure regulating valve, wherein the user side pipeline state information comprises gas flow, pipeline temperature and lower-stage valve opening; the gas flow, the pipeline temperature and the lower-stage valve opening are sent to a service end, and a pipeline pressure predictor embedded in the service end is used for generating a user-side pipeline predicted pressure; judging whether the predicted pressure of the user side pipeline belongs to a pressure interval expected by the user side pipeline; if the gas flow does not belong to the gas flow, optimizing the gas flow through a pipeline flow optimizer embedded in the service end to generate the expected gas flow; and sending the expected gas flow to an execution end, and controlling the opening of the first pressure regulating valve according to the expected gas flow through the execution end.
In a second aspect, the present disclosure further provides an automatic pressure regulating control system for gas delivery, configured to execute an automatic pressure regulating control method for gas delivery according to the first aspect, where the system includes a service end and an execution end, where the execution end is configured to control a first pressure regulating valve, and the system includes: the pipeline state information loading module is used for loading the pipeline state information of the user side of the first pressure regulating valve, wherein the pipeline state information of the user side comprises gas flow, pipeline temperature and lower-stage valve opening; the pipeline prediction pressure generation module is used for sending the gas flow, the pipeline temperature and the lower-stage valve opening to a service end and generating a user side pipeline prediction pressure through a pipeline pressure predictor embedded in the service end; the pipeline prediction pressure judging module is used for judging whether the predicted pressure of the user side pipeline belongs to a desired pressure interval of the user side pipeline; the expected gas flow generating module is used for optimizing the gas flow through a pipeline flow optimizer embedded in the service end if the expected gas flow generating module does not belong to the expected gas flow generating module, so as to generate the expected gas flow; and the pressure regulating valve opening control module is used for sending the expected gas flow to an execution end, and controlling the opening of the first pressure regulating valve according to the expected gas flow through the execution end.
One or more technical solutions provided in the present disclosure have at least the following technical effects or advantages:
(1) The automatic pressure regulating control method for the fuel gas transmission and distribution can solve the technical problem that the automatic pressure regulating control cannot be rapidly and accurately performed due to lower accuracy of collected pressure monitoring data and larger hysteresis of the automatic pressure regulating control. Loading user side pipeline state information of a first pressure regulating valve, wherein the user side pipeline state information comprises gas flow, pipeline temperature and lower-stage valve opening; the gas flow, the pipeline temperature and the lower-stage valve opening are sent to a service end, and a pipeline pressure predictor embedded in the service end is used for generating a user-side pipeline predicted pressure; judging whether the predicted pressure of the user side pipeline belongs to a pressure interval expected by the user side pipeline; if the gas flow does not belong to the gas flow, optimizing the gas flow through a pipeline flow optimizer embedded in the service end to generate the expected gas flow; and sending the expected gas flow to an execution end, and controlling the opening of the first pressure regulating valve according to the expected gas flow through the execution end. The method can improve the accuracy of pressure monitoring data acquisition and reduce the hysteresis of automatic pressure regulation control, realize quick and accurate automatic pressure regulation control, and improve the efficiency, the accuracy and the intellectualization of automatic pressure regulation control of fuel gas transmission and distribution.
(2) The pipeline pressure predictor is constructed to predict the pipeline pressure, so that the predicted pipeline pressure at the user side is obtained, and the accuracy of obtaining the pipeline pressure data can be improved, thereby improving the accuracy of judging the pipeline pressure.
(3) The desired gas flow is obtained by optimizing the gas flow, so that the accuracy of obtaining the desired gas flow can be improved, and the accuracy of automatic pressure regulation control is improved.
The foregoing description is merely an overview of the technical solutions of the present disclosure, and may be implemented according to the content of the specification in order to make the technical means of the present disclosure more clearly understood, and in order to make the above and other objects, features and advantages of the present disclosure more clearly understood, the following specific embodiments of the present disclosure are specifically described. It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
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For a clearer description of the present disclosure or of the prior art, the drawings used in the description of the embodiments or of the prior art will be briefly described, it being obvious that the drawings in the description below are only exemplary and that other drawings may be obtained, without inventive effort, by a person skilled in the art, from the provided drawings.
FIG. 1 is a schematic flow chart of an automatic pressure regulation control method for gas delivery and distribution according to the present disclosure;
FIG. 2 is a schematic flow chart of a pipeline pressure predictor generated in an automatic pressure regulation control method for gas distribution in the present disclosure;
fig. 3 is a schematic structural diagram of an automatic pressure regulating control system for gas distribution in the present disclosure.
Reference numerals illustrate:
The system comprises a pipeline state information loading module 11, a pipeline prediction pressure generating module 12, a pipeline prediction pressure judging module 13, a desired gas flow generating module 14 and a pressure regulating valve opening degree control module 15.
Detailed Description
The automatic pressure regulating control method and system for gas transmission and distribution solve the technical problem that the existing automatic pressure regulating control method for gas transmission and distribution cannot quickly and accurately perform automatic pressure regulating control due to low accuracy of collected pressure monitoring data and large hysteresis of automatic pressure regulating control. The method can improve the accuracy of pressure monitoring data acquisition and reduce the hysteresis of automatic pressure regulation control, realize the technical aim of rapidly and accurately performing automatic pressure regulation control, and achieve the technical effects of improving the efficiency, the accuracy and the intellectualization of automatic pressure regulation control of fuel gas transmission and distribution.
In the following, a clear and complete description of the technical solutions in the present disclosure will be made with reference to the accompanying drawings, it being apparent that the described embodiments are only some of the embodiments of the present disclosure, but not all embodiments of the present disclosure, and it is to be understood that the present disclosure is not limited by the example embodiments described herein. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present disclosure without making any inventive effort, are intended to be within the scope of the present disclosure. It should be further noted that, for convenience of description, only a part, but not all, of the drawings related to the present disclosure are shown.
Embodiment one:
Referring to fig. 1, the present disclosure provides an automatic pressure regulating control method for gas delivery, where the method is applied to an automatic pressure regulating control system for gas delivery, the system includes a service end and an execution end, the execution end is used for controlling a first pressure regulating valve, and the method specifically includes the following steps:
loading user side pipeline state information of a first pressure regulating valve, wherein the user side pipeline state information comprises gas flow, pipeline temperature and lower-stage valve opening;
Specifically, the method provided by the disclosure optimizes the existing automatic pressure regulating control method for gas transmission and distribution to improve the accuracy of pressure monitoring data acquisition in the automatic pressure regulating control process and reduce the hysteresis of pressure regulating control, so that the technical aim of rapidly and accurately performing automatic pressure regulating control is fulfilled, and the technical effects of improving the efficiency, the accuracy and the intellectualization of the automatic pressure regulating control of gas transmission and distribution are achieved. The method is implemented in an automatic pressure regulating control system for gas transmission and distribution, wherein the system comprises a service end and an execution end, and the service end is used for intelligently analyzing acquired pipeline state monitoring data to generate a gas flow control instruction; the execution end is used for controlling the first pressure regulating valve to control the opening of the valve, and the first pressure regulating valve is any one of a plurality of pressure regulating valves in the gas transmission and distribution pipeline; the server side and the execution side can realize data interaction in a signal transmission mode.
The method comprises the steps of obtaining user side pipeline state information of a first pressure regulating valve, wherein the user side pipeline state information can be obtained through data acquisition by a plurality of sensors, any one of a plurality of pressure regulating valves in a gas transmission and distribution pipeline of the first pressure regulating valve can be set by a person skilled in the art according to actual conditions, and the user side pipeline state information comprises gas flow, pipeline temperature and lower-stage valve opening.
By obtaining the pipeline state information at the user side, data support is provided for the pipeline pressure prediction of the next step and the pipeline predicted pressure is obtained.
The gas flow, the pipeline temperature and the lower-stage valve opening are sent to a service end, and a pipeline pressure predictor embedded in the service end is used for generating a user-side pipeline predicted pressure;
specifically, the gas flow, the pipeline temperature and the lower-stage valve opening are sent to a service end of an automatic pressure regulating control system for gas transmission and distribution, wherein a pipeline pressure predictor is embedded in the service end, and the pipeline pressure predictor is a neural network model capable of performing iterative optimization in machine learning. And carrying out pipeline pressure prediction according to the gas flow, the pipeline temperature and the lower-stage valve opening by the pipeline pressure predictor, and generating the predicted pipeline pressure at the user side.
By predicting the pipeline pressure based on the neural network, the predicted pipeline pressure at the user side is obtained, and the accuracy of obtaining the pipeline pressure data can be improved, so that the accuracy of judging the pipeline pressure can be improved.
Judging whether the predicted pressure of the user side pipeline belongs to a pressure interval expected by the user side pipeline;
specifically, a user side pipe expected pressure interval is obtained, wherein the user side pipe expected pressure interval is a normal pressure range in the gas pipe, and is generally set according to the type and practical application of the gas pipe, for example: the pressure of the A-stage medium-pressure gas pipeline is 0.2< P less than or equal to 0.4MPa, the pressure of the B-stage medium-pressure gas pipeline is 0.01< P less than or equal to 0.2MPa, and the pressure of the low-pressure gas pipeline is P <0.01MPa. And judging the predicted pressure of the user side pipeline according to the expected pressure interval of the user side pipeline, and judging whether the predicted pressure of the user side pipeline is in the range of the expected pressure interval of the user side pipeline.
If the gas flow does not belong to the gas flow, optimizing the gas flow through a pipeline flow optimizer embedded in the service end to generate the expected gas flow;
Specifically, when the predicted pressure of the user side pipeline is not within the range of the expected pressure interval of the user side pipeline, the condition that the pipeline pressure is abnormal, and the pressure is too small or too large is represented at the moment, and at the moment, the gas flow is optimized through the pipeline flow optimizer embedded in the service end to obtain the expected gas flow, wherein the expected gas flow is the optimal gas flow for automatic pressure regulation control, the gas flow in the gas pipeline is in direct proportion to the pipeline pressure, namely, under the same gas supply condition, the gas flow in the pipeline is larger, and the pipeline pressure is larger.
The desired gas flow is obtained by optimizing the gas flow, so that the accuracy of obtaining the desired gas flow can be improved, and the accuracy of automatic pressure regulation control is improved.
And sending the expected gas flow to an execution end, and controlling the opening of the first pressure regulating valve according to the expected gas flow through the execution end.
Specifically, the expected gas flow is finally sent to the execution end through the service end, and then the opening degree of the first pressure regulating valve is controlled according to the expected gas flow through the execution end.
The automatic pressure regulating control method for gas transmission and distribution is applied to an automatic pressure regulating control system for gas transmission and distribution, and firstly, user side pipeline state information of a first pressure regulating valve is loaded, wherein the user side pipeline state information comprises gas flow, pipeline temperature and lower-stage valve opening; then the gas flow, the pipeline temperature and the lower-stage valve opening are sent to a service end, and a pipeline pressure predictor embedded in the service end is used for generating a predicted pressure of a user side pipeline; further judging whether the predicted pressure of the user side pipeline belongs to a desired pressure interval of the user side pipeline; if the gas flow does not belong to the gas flow, optimizing the gas flow through a pipeline flow optimizer embedded in the service end to generate the expected gas flow; and finally, sending the expected gas flow to an execution end, and controlling the opening of the first pressure regulating valve through the execution end according to the expected gas flow. The method can improve the accuracy of pressure monitoring data acquisition and reduce the hysteresis of automatic pressure regulation control, realize the technical aim of rapidly and accurately performing the automatic pressure regulation control, and achieve the technical effects of improving the efficiency, the accuracy and the intellectualization of the automatic pressure regulation control of fuel gas transmission and distribution.
Further, as shown in fig. 2, in one embodiment, the sending the gas flow, the pipeline temperature and the lower level valve opening to a service end generates a user side pipeline predicted pressure through a pipeline pressure predictor embedded in the service end, which includes:
Obtaining a user side pipeline topology characteristic of a first pressure regulating valve, wherein the user side pipeline topology characteristic comprises pipeline topology structure information and pipeline load distribution information;
Taking the pipeline topological structure information and the pipeline load distribution information as constraints, and collecting gas flow history information, pipeline temperature history information, lower-stage valve opening history information and pipeline pressure identification information;
specifically, the method for constructing the pipeline pressure predictor includes the following steps that firstly, a user side pipeline topological characteristic of a first pressure regulating valve is obtained, wherein the user side pipeline topological characteristic can be obtained through information extraction through a pipeline distribution diagram, the user side pipeline topological characteristic comprises pipeline topological structure information and pipeline load distribution information, and the pipeline topological structure information comprises information of pipeline components, structures, arrangement forms and the like, such as: the pipeline component comprises a pipe body, a pipe fitting and other parts; the pipeline structure comprises a pipe fitting structure and a connection mode, wherein the pipe fitting structure comprises a straight pipe, an elbow, a tee joint, a four-way joint and the like, and the connection mode comprises welding, flange connection, threaded connection and the like; wherein the arrangement forms comprise straight line arrangement, broken line arrangement, annular arrangement and the like. The pipeline load distribution information refers to a control device such as a valve on a pipeline.
And taking the pipeline topological structure information and the pipeline load distribution information as constraint conditions to acquire information, namely acquiring historical operation information of gas transmission and distribution of pipelines which are distributed in the same structure as the pipeline topological structure information and the pipeline load distribution information, wherein the acquired information comprises gas flow historical information, pipeline temperature historical information, lower-stage valve opening historical information and pipeline pressure identification information, and the gas flow historical information, the pipeline temperature historical information, the lower-stage valve opening historical information and the pipeline pressure identification information have corresponding relations.
In one embodiment, the method further comprises:
Taking the pipeline topological structure information and the pipeline load distribution information as constraints, and collecting gas flow history information, pipeline temperature history information, lower-stage valve opening history information and pipeline pressure monitoring information;
wherein any one of the gas flow history information, the pipeline temperature history information, the lower-stage valve opening history information and the pipeline pressure monitoring information comprises a gas flow record value, a pipeline temperature record value, a lower-stage valve opening record value and a plurality of pipeline pressure monitoring record values;
constructing a centralized value temporary evaluation component in a server, processing the plurality of pipeline pressure monitoring record values, generating a pipeline pressure identification characteristic value, and adding the pipeline pressure identification characteristic value into the pipeline pressure identification information;
Specifically, the pipeline topological structure information and the pipeline load distribution information are used as constraint conditions of information acquisition, and historical operation information under the same conditions is searched based on an industrial big data technology, wherein the industrial big data technology is a series of technologies and methods for excavating and displaying values contained in industrial big data, and the technology comprises technical means of data planning, data acquisition, analysis excavation and the like; and obtaining gas flow historical information, pipeline temperature historical information, lower-stage valve opening historical information and pipeline pressure monitoring information, wherein any group of the gas flow historical information, the pipeline temperature historical information, the lower-stage valve opening historical information and the pipeline pressure monitoring information comprises a gas flow record value, a pipeline temperature record value, a lower-stage valve opening record value and a plurality of pipeline pressure monitoring record values.
And constructing a centralized value temporary evaluation component in the server, wherein the centralized value temporary evaluation component is used for performing centralized value evaluation on the plurality of pipeline pressure monitoring record values to obtain relatively accurate pressure values. And then carrying out centralized value evaluation on the plurality of pipeline pressure monitoring record values through the centralized value temporary evaluation component, generating a pipeline pressure identification characteristic value according to an evaluation result, and adding the pipeline pressure identification characteristic value into the pipeline pressure identification information to obtain pipeline pressure identification information.
Because the acquired historical operation data is also obtained through monitoring by the sensor, certain errors may exist, and therefore, the accuracy of obtaining the pipeline pressure identification characteristic value can be improved, namely the accuracy of acquiring training data can be improved, and the accuracy of pressure prediction of the pipeline pressure predictor can be indirectly improved through acquiring a plurality of pressure monitoring values corresponding to the same gas flow historical information, pipeline temperature historical information and lower-stage valve opening historical information and carrying out centralized value evaluation on the plurality of pressure monitoring values to obtain the pipeline pressure identification characteristic value.
In one embodiment, the method further comprises:
Constructing a centralized value evaluation rule:
step A: adjusting the pressure monitoring record values of the pipelines according to the sequence from small to large to generate a first data sequence;
and (B) step (B): rounding up 0.25 times of the data volume of the first data sequence to obtain a first boundary sequence number;
Step C: rounding down 0.75 times of the data volume of the first data sequence to obtain a second boundary sequence number;
Step D: deleting the data smaller than the first boundary sequence number in the first data sequence, and deleting the data larger than the second boundary sequence number in the first data sequence to obtain a concentrated data set;
Step E: performing mean analysis on the centralized data set to generate the pipeline pressure identification characteristic value;
And building the centralized value temporary evaluation component at the server according to the centralized value evaluation rule.
Specifically, the method for constructing the centralized value temporary evaluation component in the server is as follows, firstly, a centralized value evaluation rule is constructed, wherein the centralized value evaluation rule is as follows: step A: adjusting the pressure monitoring record values of the pipelines according to the sequence from small to large to generate a first data sequence; and (B) step (B): rounding up 0.25 times of the data volume of the first data sequence to obtain a first boundary sequence number; step C: rounding down 0.75 times of the data volume of the first data sequence to obtain a second boundary sequence number; step D: deleting the data smaller than the first boundary sequence number in the first data sequence, and deleting the data larger than the second boundary sequence number in the first data sequence to obtain a concentrated data set; step E: and carrying out mean analysis on the concentrated data set to generate the pipeline pressure identification characteristic value. In short, the centralized value evaluation rule is to extract a plurality of pipeline pressure monitoring record values greater than 0.25 and less than 0.75 in the first data sequence, namely extracting a plurality of relatively centralized pipeline pressure monitoring record values, then carrying out average value calculation on the plurality of extracted pipeline pressure monitoring record values, and taking the average value calculation result as a pipeline pressure identification characteristic value.
And building the centralized value temporary evaluation component on the server based on the centralized value evaluation rule, and then processing the plurality of pipeline pressure monitoring record values according to the centralized value evaluation rule through the centralized value temporary evaluation component to obtain the pipeline pressure identification information.
The basis is provided for carrying out the temporary evaluation of the centralized value by constructing the centralized value evaluation rule, and meanwhile, the stability and the accuracy of the centralized value evaluation can be improved.
Wherein when the pipeline pressure predictor training is complete, the centralized value temporary evaluation component is deleted.
Specifically, the centralized value temporary evaluation component is temporarily built and is only used for processing the pipeline pressure monitoring record value, and when the pipeline pressure predictor is trained, the centralized value temporary evaluation component is deleted.
Taking the pipeline pressure identification information as supervision, calling the gas flow historical information, the pipeline temperature historical information and the lower-stage valve opening historical information to configure a BP neural network, generating the pipeline pressure predictor and downloading the pipeline pressure predictor to the server.
Specifically, a network structure of a pipeline pressure predictor is constructed based on a BP neural network, wherein the pipeline pressure predictor is a neural network model which can be subjected to iterative optimization in machine learning and is obtained by performing supervised training through historical training data, the pipeline pressure predictor comprises an input layer, an implicit layer and an output layer, the input data of the input layer are gas flow, pipeline temperature and lower-stage valve opening, and the output data of the output layer are pipeline predicted pressure.
Taking the pipeline pressure identification information as monitoring data in a training process, taking the gas flow historical information, the pipeline temperature historical information and the lower-stage valve opening historical information as training data sets to monitor and train the pipeline pressure predictor, wherein the training process is as follows, first training data are randomly selected in the training data sets, and the first training data are any one of a plurality of training data in the training data sets; performing supervision training on the pipeline pressure predictor through the first training data, and outputting a first pipeline predicted pressure; comparing the first pipeline predicted pressure with pipeline pressure identification information corresponding to the first training data; when the two are consistent, randomly selecting second training data to perform supervision training on the pipeline pressure predictor; when the two parameters are inconsistent, optimizing and adjusting the weight parameters of the pipeline pressure predictor according to the deviation value between the two parameters, and then randomly selecting second training data to supervise and train the pipeline pressure predictor; and continuously performing iterative supervision training until the accuracy of the output result of the pipeline pressure predictor is greater than a preset accuracy index, and obtaining the trained pipeline pressure predictor, wherein the preset accuracy index can be set by a person skilled in the art according to actual requirements, wherein the higher the required accuracy is, the greater the preset accuracy index is, and the preset accuracy index can be set to be 95% under normal conditions. And finally, downloading the trained pipeline pressure predictor to the server.
In a further embodiment, the optimizing the gas flow through a pipeline flow optimizer embedded in the service end to generate a desired gas flow includes:
loading upstream gas flow and a first pressure regulating valve number, and inputting a flow constraint identification table stored in the server to obtain a gas flow constraint interval;
performing multistage median division on the gas flow constraint interval to obtain k initial gas flows, wherein k is more than or equal to 9,k and is an integer;
performing prediction by the pipeline pressure predictor in combination with the pipeline temperature and the lower-stage valve opening, traversing the k initial gas flows to generate k initial predicted pressures;
When the k initial predicted pressures have the expected pressure range of the user side pipeline, outputting an initial gas flow rate of the initial predicted pressure range of the user side pipeline, and setting the initial gas flow rate as the expected gas flow rate.
Specifically, firstly, acquiring upstream gas flow and a first pressure regulating valve number, wherein the upstream gas flow is the gas flow of an adjacent gas pipeline which is communicated with a gas pipeline provided with the first pressure regulating valve and is positioned in the direction opposite to the gas conveying direction, and the upstream gas flow can be obtained by real-time monitoring through a mounting sensor; and then inputting the upstream gas flow and the number of the first pressure regulating valve into a flow constraint identification table, and matching to obtain a gas flow constraint interval. The flow constraint identification table is stored in the server and comprises a plurality of pressure regulating valve numbers and a plurality of flow constraint identification sub-tables, wherein the pressure regulating valve numbers and the flow constraint identification sub-tables have a one-to-one correspondence; the flow constraint identifier sub-table comprises a plurality of historical upstream gas flow and a plurality of gas flow constraint intervals, and the historical upstream gas flow and the gas flow constraint intervals have a one-to-one correspondence. Firstly, inputting the number of the first pressure regulating valve into the flow constraint identification table for matching to obtain a corresponding first flow constraint identification sub-table; and then inputting the upstream gas flow into the first flow constraint identifier sub-table for matching to obtain a gas flow constraint interval, wherein the gas flow constraint interval refers to a range of adjustable gas flow.
The gas flow constraint interval is subjected to multistage median division to obtain K initial gas flows, wherein K is an integer greater than or equal to 9, and a specific value of K can be set according to the actual range of the gas flow constraint interval by a person skilled in the art, wherein the multistage median division method of the gas flow constraint interval is as follows, firstly, the specific value of K is determined, and a median division formula is configured, wherein the median division formula is thatWherein x is the number of median divisions, i.e. the gas flow restriction interval is median divided by x, wherein median division refers to dividing the interval by two intervals each time at the midpoint of the interval, for example: the first-stage median division refers to dividing the gas flow constraint interval into two intervals at the middle point of the gas flow constraint interval, and then the gas flow constraint interval is provided with three end points; the second level is to divide the middle position of two sections divided by the first level respectively, and at this time, there are 5 end point values; and the like, divided into x stages, there is/>The end points, i.e., k end points.
By carrying out multistage median division on the gas flow constraint interval, the uniformity of initial gas flow distribution can be improved, so that an optimal value can be found in the optimizing process more easily, and the global property and accuracy of the optimal value can be improved.
And sequentially carrying out pipeline pressure prediction according to the pipeline temperature, the lower-stage valve opening and the k initial gas flows through the pipeline pressure predictor to obtain k initial predicted pressures corresponding to the k initial gas flows, wherein each initial gas flow corresponds to one initial predicted pressure.
And judging the k initial predicted pressures based on the expected pressure interval of the user side pipeline, outputting initial gas flow belonging to the initial predicted pressure of the expected pressure interval of the user side pipeline when the initial predicted pressure exists in the k initial predicted pressures within the range of the expected pressure interval of the user side pipeline, and setting the initial gas flow as the expected gas flow.
In one embodiment, the method further comprises:
When the k initial predicted pressures do not have the expected pressure interval of the user side pipeline, respectively calculating the k initial predicted pressures and the nearest distance between the expected pressure interval of the user side pipeline, and setting the k initial fitness to k initial gas flow rates;
step one: sequencing the k initial fitness from small to large to generate a first fitness sequencing result;
Carrying out sequential adjustment on the k initial gas flows according to the first fitness sequencing result to obtain a first initial gas flow sequencing result;
calculating a head solution number threshold and a tail solution number threshold, wherein the head solution number threshold is equal to an upward rounding value of k x 0.1, and the tail solution number threshold is equal to an upward rounding value of k x 0.3;
Screening head-to-tail gas flow according to the first initial gas flow sequencing result according to the head-to-head number threshold;
screening tail gas flow from tail to head according to the first initial gas flow sequencing result by using the tail gas flow threshold;
configuring a travel step length constraint interval and a travel times constraint interval;
Constructing a traveling direction constraint by taking the head solution gas flow as a traveling target and the tail solution gas flow as a traveling starting point according to the traveling step length constraint interval and the traveling times constraint interval, and adjusting the tail solution gas flow to generate a gas flow expansion value;
Wherein, stopping expansion when the gas flow expansion value is greater than or equal to the gas flow expansion value quantity threshold;
Step two: performing prediction by the pipeline pressure predictor through traversing the gas flow expansion value in combination with the pipeline temperature and the lower-stage valve opening, and generating an expansion value prediction pressure;
Step three: and outputting a gas flow expansion value of the expansion value predicted pressure belonging to the user side pipeline expected pressure section to be set as the expected gas flow when the expansion value predicted pressure has the expansion value predicted pressure belonging to the user side pipeline expected pressure section.
Specifically, when none of the k initial predicted pressures is within the range of the expected pressure interval of the user side pipeline, calculating the nearest distances between the k initial predicted pressures and the expected pressure interval of the user side pipeline respectively, wherein the nearest distances are smaller differences among differences between the initial predicted pressures and the maximum value or the minimum value of the expected pressure interval of the user side pipeline, obtaining k nearest distances, and setting the k nearest distances as k initial fitness of the k initial gas flows, wherein the smaller the nearest distances are, the smaller the initial fitness is; meanwhile, the smaller the fitness is, the better the characterization result is.
Firstly, sorting the k initial fitness from small to large to generate a first fitness sorting result; and then carrying out sequential adjustment on the k initial gas flows according to the first fitness sequencing result, namely arranging the k initial gas flows according to the corresponding fitness to obtain a first initial gas flow sequencing result, wherein the sequence of the initial gas flows in the first initial gas flow sequencing result is consistent with the sequence of the corresponding fitness in the first fitness sequencing result.
A head solution number threshold and a tail solution number threshold are calculated separately, wherein the head solution number threshold is equal to an upward rounding value of k x 0.1, for example: assuming K is 37, the number of head solutions threshold is 4, which is equal to the rounded up value of K x 0.3. Then screening head-decomposed gas flows from head to tail according to the first initial gas flow sequencing result according to the head-decomposed number threshold, namely extracting the gas flows sequenced to the head-decomposed number threshold in the first initial gas flow sequencing result, and setting the gas flows as head-decomposed gas flows; and screening the tail gas flow from tail to head according to the tail gas flow sorting result by the tail gas number threshold value to obtain the tail gas flow of the tail gas number threshold value.
The method comprises the steps of configuring a travel step length constraint interval and a travel frequency constraint interval, wherein the travel step length constraint interval is an adjustment step length in each optimizing process, and the travel frequency constraint interval is the total frequency of the optimizing process and can be set according to actual conditions. And then, according to the travel step length constraint interval and the travel times constraint interval, the head solution gas flow is taken as a travel target, the tail solution gas flow is taken as a travel starting point, travel direction constraint is constructed, the tail solution gas flow is regulated, and a gas flow expansion value is generated. Wherein the traveling direction constraint is provided for the purpose of adjusting the tail gas flow toward the direction in which the head gas flow is located, and not to be adjusted to be equal to the head gas flow, but to stop, and possibly to overrun. And acquiring a gas flow expansion value quantity threshold, wherein the gas flow expansion value quantity threshold can be set according to actual conditions, and stopping expansion when the gas flow expansion value is larger than or equal to the gas flow expansion value quantity threshold.
And then, pipeline pressure prediction is sequentially carried out on the gas flow expansion value according to the pipeline temperature and the lower-stage valve opening by the pipeline pressure predictor, so as to obtain expansion value prediction pressure. And judging the predicted pressure of the expansion value according to the expected pressure interval of the user side pipeline, outputting a gas flow expansion value of the predicted pressure of the expansion value belonging to the expected pressure interval of the user side pipeline when the predicted pressure of the expansion value exists in the predicted pressure range of the expected pressure interval of the user side pipeline, and setting the gas flow expansion value as the expected gas flow.
In one embodiment, the method further comprises:
and when the predicted pressure of the expansion value does not belong to the expected pressure interval of the user side pipeline, returning to the step one.
Specifically, when the predicted pressure of the expansion value does not have the pressure interval which belongs to the expected pressure interval of the user side pipeline, returning to the step for optimizing again until the predicted pressure of the expansion value which belongs to the expected pressure interval of the user side pipeline is obtained.
In summary, the automatic pressure regulating control method for fuel gas transmission and distribution provided by the present disclosure has the following technical effects:
1. The method can improve the accuracy of pressure monitoring data acquisition and reduce the hysteresis of automatic pressure regulation control, realize the technical aim of rapidly and accurately performing the automatic pressure regulation control, and achieve the technical effects of improving the efficiency, the accuracy and the intellectualization of the automatic pressure regulation control of fuel gas transmission and distribution.
2. The centralized value evaluation rule is set to perform centralized value evaluation on the plurality of pressure monitoring values to obtain the pipeline pressure identification characteristic value, so that the accuracy of obtaining the pipeline pressure identification characteristic value can be improved, namely the accuracy of obtaining training data can be improved, and the accuracy of pressure prediction of the pipeline pressure predictor can be indirectly improved.
3. By carrying out multistage median division on the gas flow constraint interval, the uniformity of initial gas flow distribution can be improved, so that an optimal value can be found in the optimizing process more easily, and the global property and accuracy of the optimal value can be improved.
Embodiment two:
based on the same inventive concept as the automatic pressure regulating control method for gas distribution in the foregoing embodiment, the present disclosure further provides an automatic pressure regulating control system for gas distribution, where the system includes a service end and an execution end, and the execution end is used to control a first pressure regulating valve, referring to fig. 3, the system includes:
the pipeline state information loading module 11 is used for loading the pipeline state information of the user side of the first pressure regulating valve, wherein the pipeline state information of the user side comprises gas flow, pipeline temperature and lower-stage valve opening;
a pipe predicted pressure generating module 12, where the pipe predicted pressure generating module 12 is configured to send the gas flow, the pipe temperature, and the lower level valve opening to a service end, and generate a user side pipe predicted pressure by a pipe pressure predictor embedded in the service end;
The pipeline prediction pressure judging module 13 is configured to judge whether the pipeline prediction pressure at the user side belongs to a pressure interval expected by the pipeline at the user side;
The expected gas flow generating module 14, where the expected gas flow generating module 14 is configured to, if not, optimize the gas flow through a pipe flow optimizer embedded in the service end to generate an expected gas flow;
and a pressure regulating valve opening control module 15, wherein the pressure regulating valve opening control module 15 is configured to send the desired gas flow to an execution end, and perform opening control on the first pressure regulating valve according to the desired gas flow through the execution end.
Further, the pipeline predicted pressure generation module 12 in the system is also configured to:
Obtaining a user side pipeline topology characteristic of a first pressure regulating valve, wherein the user side pipeline topology characteristic comprises pipeline topology structure information and pipeline load distribution information;
Taking the pipeline topological structure information and the pipeline load distribution information as constraints, and collecting gas flow history information, pipeline temperature history information, lower-stage valve opening history information and pipeline pressure identification information;
taking the pipeline pressure identification information as supervision, calling the gas flow historical information, the pipeline temperature historical information and the lower-stage valve opening historical information to configure a BP neural network, generating the pipeline pressure predictor and downloading the pipeline pressure predictor to the server.
Further, the pipeline predicted pressure generation module 12 in the system is also configured to:
Taking the pipeline topological structure information and the pipeline load distribution information as constraints, and collecting gas flow history information, pipeline temperature history information, lower-stage valve opening history information and pipeline pressure monitoring information;
wherein any one of the gas flow history information, the pipeline temperature history information, the lower-stage valve opening history information and the pipeline pressure monitoring information comprises a gas flow record value, a pipeline temperature record value, a lower-stage valve opening record value and a plurality of pipeline pressure monitoring record values;
constructing a centralized value temporary evaluation component in a server, processing the plurality of pipeline pressure monitoring record values, generating a pipeline pressure identification characteristic value, and adding the pipeline pressure identification characteristic value into the pipeline pressure identification information;
wherein when the pipeline pressure predictor training is complete, the centralized value temporary evaluation component is deleted.
Further, the pipeline predicted pressure generation module 12 in the system is also configured to:
Constructing a centralized value evaluation rule:
step A: adjusting the pressure monitoring record values of the pipelines according to the sequence from small to large to generate a first data sequence;
and (B) step (B): rounding up 0.25 times of the data volume of the first data sequence to obtain a first boundary sequence number;
Step C: rounding down 0.75 times of the data volume of the first data sequence to obtain a second boundary sequence number;
Step D: deleting the data smaller than the first boundary sequence number in the first data sequence, and deleting the data larger than the second boundary sequence number in the first data sequence to obtain a concentrated data set;
Step E: performing mean analysis on the centralized data set to generate the pipeline pressure identification characteristic value;
And building the centralized value temporary evaluation component at the server according to the centralized value evaluation rule.
Further, the desired gas flow rate generation module 14 in the system is also configured to:
loading upstream gas flow and a first pressure regulating valve number, and inputting a flow constraint identification table stored in the server to obtain a gas flow constraint interval;
performing multistage median division on the gas flow constraint interval to obtain k initial gas flows, wherein k is more than or equal to 9,k and is an integer;
performing prediction by the pipeline pressure predictor in combination with the pipeline temperature and the lower-stage valve opening, traversing the k initial gas flows to generate k initial predicted pressures;
When the k initial predicted pressures have the expected pressure range of the user side pipeline, outputting an initial gas flow rate of the initial predicted pressure range of the user side pipeline, and setting the initial gas flow rate as the expected gas flow rate.
Further, the desired gas flow rate generation module 14 in the system is also configured to:
When the k initial predicted pressures do not have the expected pressure interval of the user side pipeline, respectively calculating the k initial predicted pressures and the nearest distance between the expected pressure interval of the user side pipeline, and setting the k initial fitness to k initial gas flow rates;
step one: sequencing the k initial fitness from small to large to generate a first fitness sequencing result;
Carrying out sequential adjustment on the k initial gas flows according to the first fitness sequencing result to obtain a first initial gas flow sequencing result;
calculating a head solution number threshold and a tail solution number threshold, wherein the head solution number threshold is equal to an upward rounding value of k x 0.1, and the tail solution number threshold is equal to an upward rounding value of k x 0.3;
Screening head-to-tail gas flow according to the first initial gas flow sequencing result according to the head-to-head number threshold;
screening tail gas flow from tail to head according to the first initial gas flow sequencing result by using the tail gas flow threshold;
configuring a travel step length constraint interval and a travel times constraint interval;
Constructing a traveling direction constraint by taking the head solution gas flow as a traveling target and the tail solution gas flow as a traveling starting point according to the traveling step length constraint interval and the traveling times constraint interval, and adjusting the tail solution gas flow to generate a gas flow expansion value;
Wherein, stopping expansion when the gas flow expansion value is greater than or equal to the gas flow expansion value quantity threshold;
Step two: performing prediction by the pipeline pressure predictor through traversing the gas flow expansion value in combination with the pipeline temperature and the lower-stage valve opening, and generating an expansion value prediction pressure;
Step three: and outputting a gas flow expansion value of the expansion value predicted pressure belonging to the user side pipeline expected pressure section to be set as the expected gas flow when the expansion value predicted pressure has the expansion value predicted pressure belonging to the user side pipeline expected pressure section.
Further, the desired gas flow rate generation module 14 in the system is also configured to:
and when the predicted pressure of the expansion value does not belong to the expected pressure interval of the user side pipeline, returning to the step one.
The embodiments in this specification are described in a progressive manner, and each embodiment focuses on the difference from the other embodiments, and the foregoing automatic pressure regulation control method and specific example for gas delivery in the first embodiment of fig. 1 are equally applicable to an automatic pressure regulation control system for gas delivery in this embodiment, and by the foregoing detailed description of an automatic pressure regulation control method for gas delivery, those skilled in the art will clearly know that an automatic pressure regulation control system for gas delivery in this embodiment is not described in detail herein for brevity of the specification. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present disclosure without departing from the spirit or scope of the disclosure. Thus, given that such modifications and variations of the disclosure are within the scope of the disclosure and its equivalents, the disclosure is also intended to include such modifications and variations.
Claims (7)
1. The automatic pressure regulating control method for gas transmission and distribution is characterized by being applied to an automatic pressure regulating control system for gas transmission and distribution, wherein the system comprises a service end and an execution end, and the execution end is used for controlling a first pressure regulating valve and comprises the following steps:
loading user side pipeline state information of a first pressure regulating valve, wherein the user side pipeline state information comprises gas flow, pipeline temperature and lower-stage valve opening;
and sending the gas flow, the pipeline temperature and the lower-stage valve opening to a service end, and generating a user-side pipeline predicted pressure through a pipeline pressure predictor embedded in the service end, wherein the method for constructing the pipeline pressure predictor comprises the following steps of:
Firstly, obtaining a user side pipeline topological characteristic of a first pressure regulating valve, wherein the user side pipeline topological characteristic comprises pipeline topological structure information and pipeline load distribution information; taking the pipeline topological structure information and the pipeline load distribution information as constraint conditions to acquire historical operation information of gas transmission and distribution of pipelines which are distributed in the same structure as the pipeline topological structure information and the pipeline load distribution information, wherein the acquired information comprises gas flow historical information, pipeline temperature historical information, lower-stage valve opening historical information and pipeline pressure identification information; any one set of the gas flow history information, the pipeline temperature history information, the lower-stage valve opening degree history information and the pipeline pressure monitoring information comprises a gas flow record value, a pipeline temperature record value, a lower-stage valve opening degree record value and a plurality of pipeline pressure monitoring record values; constructing a centralized value temporary evaluation component in a server, processing the plurality of pipeline pressure monitoring record values, generating a pipeline pressure identification characteristic value, and adding the pipeline pressure identification characteristic value into the pipeline pressure identification information; taking the pipeline pressure identification information as supervision, calling the gas flow history information, the pipeline temperature history information and the lower-stage valve opening history information to configure a BP neural network, generating the pipeline pressure predictor and downloading the pipeline pressure predictor to the server;
judging whether the predicted pressure of the user side pipeline belongs to a pressure interval expected by the user side pipeline;
if the gas flow does not belong to the gas flow, optimizing the gas flow through a pipeline flow optimizer embedded in the service end to generate the expected gas flow;
and sending the expected gas flow to an execution end, and controlling the opening of the first pressure regulating valve according to the expected gas flow through the execution end.
2. The method of claim 1, wherein the aggregate value temporary evaluation component is deleted when the pipeline pressure predictor training is complete.
3. The method of claim 2, wherein building a centralized value temporary evaluation component in the server comprises:
Constructing a centralized value evaluation rule:
step A: adjusting the pressure monitoring record values of the pipelines according to the sequence from small to large to generate a first data sequence;
and (B) step (B): rounding up 0.25 times of the data volume of the first data sequence to obtain a first boundary sequence number;
Step C: rounding down 0.75 times of the data volume of the first data sequence to obtain a second boundary sequence number;
Step D: deleting the data smaller than the first boundary sequence number in the first data sequence, and deleting the data larger than the second boundary sequence number in the first data sequence to obtain a concentrated data set;
Step E: performing mean analysis on the centralized data set to generate the pipeline pressure identification characteristic value;
And building the centralized value temporary evaluation component at the server according to the centralized value evaluation rule.
4. The method of claim 1, wherein optimizing the gas flow through a conduit flow optimizer embedded in the service end to generate a desired gas flow comprises:
loading upstream gas flow and a first pressure regulating valve number, and inputting a flow constraint identification table stored in the server to obtain a gas flow constraint interval;
performing multistage median division on the gas flow constraint interval to obtain k initial gas flows, wherein k is more than or equal to 9,k and is an integer;
performing prediction by the pipeline pressure predictor in combination with the pipeline temperature and the lower-stage valve opening, traversing the k initial gas flows to generate k initial predicted pressures;
When the k initial predicted pressures have the expected pressure range of the user side pipeline, outputting an initial gas flow rate of the initial predicted pressure range of the user side pipeline, and setting the initial gas flow rate as the expected gas flow rate.
5. The method as recited in claim 4, further comprising:
When the k initial predicted pressures do not have the expected pressure interval of the user side pipeline, respectively calculating the k initial predicted pressures and the nearest distance between the expected pressure interval of the user side pipeline, and setting the k initial fitness to k initial gas flow rates;
step one: sequencing the k initial fitness from small to large to generate a first fitness sequencing result;
Carrying out sequential adjustment on the k initial gas flows according to the first fitness sequencing result to obtain a first initial gas flow sequencing result;
calculating a head solution number threshold and a tail solution number threshold, wherein the head solution number threshold is equal to an upward rounding value of k x 0.1, and the tail solution number threshold is equal to an upward rounding value of k x 0.3;
Screening head-to-tail gas flow according to the first initial gas flow sequencing result according to the head-to-head number threshold;
screening tail gas flow from tail to head according to the first initial gas flow sequencing result by using the tail gas flow threshold;
configuring a travel step length constraint interval and a travel times constraint interval;
Constructing a traveling direction constraint by taking the head solution gas flow as a traveling target and the tail solution gas flow as a traveling starting point according to the traveling step length constraint interval and the traveling times constraint interval, and adjusting the tail solution gas flow to generate a gas flow expansion value;
Wherein, stopping expansion when the gas flow expansion value is greater than or equal to the gas flow expansion value quantity threshold;
Step two: performing prediction by the pipeline pressure predictor through traversing the gas flow expansion value in combination with the pipeline temperature and the lower-stage valve opening, and generating an expansion value prediction pressure;
Step three: and outputting a gas flow expansion value of the expansion value predicted pressure belonging to the user side pipeline expected pressure section to be set as the expected gas flow when the expansion value predicted pressure has the expansion value predicted pressure belonging to the user side pipeline expected pressure section.
6. The method as recited in claim 5, further comprising: and when the predicted pressure of the expansion value does not belong to the expected pressure interval of the user side pipeline, returning to the step one.
7. An automatic pressure regulating control system for gas delivery, characterized by the steps for implementing the automatic pressure regulating control method for gas delivery according to any one of claims 1 to 6, said system comprising a service end and an execution end, said execution end being adapted to control a first pressure regulating valve, comprising:
the pipeline state information loading module is used for loading the pipeline state information of the user side of the first pressure regulating valve, wherein the pipeline state information of the user side comprises gas flow, pipeline temperature and lower-stage valve opening;
The pipeline prediction pressure generation module is used for sending the gas flow, the pipeline temperature and the lower-stage valve opening to a service end and generating a user side pipeline prediction pressure through a pipeline pressure predictor embedded in the service end;
The pipeline prediction pressure judging module is used for judging whether the predicted pressure of the user side pipeline belongs to a desired pressure interval of the user side pipeline;
The expected gas flow generating module is used for optimizing the gas flow through a pipeline flow optimizer embedded in the service end if the expected gas flow generating module does not belong to the expected gas flow generating module, so as to generate the expected gas flow;
and the pressure regulating valve opening control module is used for sending the expected gas flow to an execution end, and controlling the opening of the first pressure regulating valve according to the expected gas flow through the execution end.
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