Intelligent monitoring system and method for dynamic residual capacity of gas transmission pipeline network

Abstract

The application relates to the field of gas pipeline network operation, and discloses an intelligent monitoring system and method for dynamic residual capacity of a gas pipeline network, which comprises the following steps: an industrial computer is connected with a SCADA system intermediate database interface, a production information system interface and a GMS system interface through communication optical cables; a real-time QPT metering module, a hydraulic simulation module, a risk assessment module, a scene generation module, a historical production database module, a user shipping management module and a residual capacity monitoring module are arranged in the industrial computer; the production information system interface is connected with the historical production database module, the SCADA system intermediate database interface is connected with the real-time QPT metering module, and the GMS system interface is connected with the user shipping management module; the historical production database module, the real-time QPT metering module and the user shipping management module transmit the received information to the scene generation module, the hydraulic simulation module, the risk assessment module and the residual capacity monitoring module in sequence after processing, and the dynamic residual capacity is calculated in real time.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of gas transmission pipeline network operation, in particular to an intelligent monitoring system and method for dynamic residual capacity of a gas transmission pipeline network. BACKGROUND

[0002] In the field of gas transmission pipeline and natural gas pipeline network operation, the technical capacity of each node of the gas transmission pipeline network is not a fixed parameter or technical index. The so-called node includes a gas injection point (such as a primary station) and a gas extraction point (such as a sub-transmission station or an end station). The residual capacity is the difference between the technical capacity and the used capacity. However, even if the used capacity is completely fixed, the residual capacity will change with the change of the technical capacity. With the change of the uneven mode of the gas extraction amount of each end station, the change of the seasonal temperature, and the change of the pipeline network topology (such as the addition of a gas injection point or a gas extraction point, or the addition of a branch line), the technical capacity of each node and the entire pipeline network is dynamically increased or decreased, and the residual capacity is changed accordingly. This directly leads to a key problem: how to accurately calculate the residual capacity of each node in the gas transmission pipeline network in the transportation mode, so as to fully utilize the residual capacity of the gas transmission pipeline network and improve the economic benefit. Currently, there is no technical method in this field.

[0003] In practice, the maximum measured throughput of each node based on historical data is used as the technical capacity, and the maximum throughput of each node in the current planning period is used as the used capacity. The difference between the two is used as the residual capacity of each node for public indicators and accepting transportation. The problems brought about mainly include the following two aspects:

[0004] Firstly, the residual capacity based on historical data is lower than the true value, which cannot fully utilize the real residual capacity, resulting in economic losses of the gas transmission pipeline network and potential users. Even if it is only 10%, it also reaches potential economic losses of hundreds of millions of yuan per year.

[0005] Secondly, the residual capacity based on historical data is higher than the true value, because the influence factors of the change of the technical capacity are completely ignored and cannot be included, resulting in the inability to fully perform the transportation contract and the occurrence of actual huge commercial compensation.

[0006] Compared with the above, in order to avoid the risk of actual economic loss, the first situation of underestimating the technical capacity and residual capacity of each node of the gas transmission pipeline network usually occurs in practice, which on the one hand improves the flexibility of the operation and management of the gas transmission pipeline network, and on the other hand reduces the operation efficiency of the entire industry represented by the gas transmission pipeline network and the transportation user.

[0007] So far, there is no public technical method to solve this problem in this field. SUMMARY

[0008] In view of the above problems, the present application aims to provide an intelligent monitoring system and method for dynamic residual capacity of a gas transmission pipeline network, which can accurately identify the real residual capacity of each node.

[0009] To achieve the above-mentioned purpose, in the first aspect, the technical scheme adopted by the present application is as follows: an intelligent monitoring system for dynamic residual capacity of a gas transmission pipeline network, comprising: an industrial computer, a communication optical cable, a SCADA system intermediate database interface, a production information system interface and a GMS system interface; the industrial computer is connected with the SCADA system intermediate database interface, the production information system interface and the GMS system interface through the communication optical cable; the industrial computer is provided with a real-time QPT metering module, a hydraulic simulation module, a risk assessment module, a scenario generation module, a historical production database module, a user shipment management module and a residual capacity monitoring module; the production information system interface is connected with the historical production database module to transmit production system information to the historical production database module; the SCADA system intermediate database interface is connected with the real-time QPT metering module to transmit SCADA system intermediate database information to the real-time QPT metering module; the GMS system interface is connected with the user shipment management module to transmit GMS system information to the user shipment management module; the historical production database module, the real-time QPT metering module and the user shipment management module transmit the received information to the scenario generation module after processing, the scenario generation module generates a complete list of working condition scenarios according to the received information, and transmits the list to the hydraulic simulation module for calculation, and the calculation result is transmitted to the risk assessment module for risk assessment; the risk assessment result is transmitted to the residual capacity monitoring module to calculate the dynamic residual capacity in real time, and the result of the residual capacity monitoring module is returned to the GMS system interface as the real-time calculation result of the whole system, for modification and management of the planned gas volume.

[0010] Further, the historical production database module includes historical data of each node of the gas transmission pipeline network and basic information of the topology structure of the gas transmission pipeline network, and the historical data includes data of three parameters of temperature, pressure and flow rate of each node;

[0011] The basic information of the topology structure of the gas transmission pipeline network includes length, pipe diameter, geometric relationship, maximum and minimum operating pressure, maximum and minimum flow rate limit parameters of each node and inter-node pipe section of the gas transmission pipeline network, and the historical production database module obtains data from the production information system interface.

[0012] Further, the real-time QPT metering module includes real-time QPT metering data of each node of the gas transmission pipeline network, and the real-time QPT metering data includes current measured data of three parameters of temperature, pressure and flow rate of each node, and the real-time QPT metering module obtains data from the SCADA system intermediate database interface.

[0013] Further, the user shipment management module includes gas volume daily plan and gas volume monthly plan data of all users of each node of the gas transmission pipeline network, and the user shipment management module obtains the data from the GMS system interface.

[0014] Further, the scenario generation module generates a complete list of working condition scenarios according to different seasons and months and different gas withdrawal volume modes of all users.

[0015] Further, the risk assessment module includes working condition scenario probability and acceptable risk standard; the working condition scenario probability is a probability distribution of different scenarios that may actually occur in all working condition scenarios in the complete list of working condition scenarios; and the acceptable risk standard is an acceptable degree of supply shortage in a short time of each user of each node of the gas transmission pipeline network.

[0016] Further, the residual capacity monitoring module includes real-time calculated dynamic technical capacity of each node of the gas transmission pipeline network, contract plan occupied capacity, and real-time calculated dynamic residual capacity as a difference between the former and the latter.

[0017] In the second aspect, the technical scheme adopted by the present application is as follows: a dynamic residual capacity hydraulic simulation calculation method, which is realized based on the intelligent monitoring system of the dynamic residual capacity of the gas transmission pipeline network and is built in a hydraulic simulation module of the system, and the method includes:

[0018] The complete list of working condition scenarios is preset by the scenario generation module, and scenarios are selected in a one-by-one traversal manner;

[0019] The topological structure parameter assignment of the pipeline network model is obtained by the historical production database module, and the PQT data of each node of the previous day is taken as the initial parameters of each node in the pipeline network model;

[0020] A single node or a sub-network is selected in a one-by-one traversal manner on the gas transmission pipeline network; the sub-network is a combination of several adjacent single nodes, and all of them are gas injection points or all of them are gas withdrawal points;

[0021] In a trial calculation manner, the flow of all nodes of a single node or a sub-network is increased as an initial increase value;

[0022] The pipeline network flow balance is calculated, and the gas volumes of all gas injection points and gas withdrawal points of the gas transmission pipeline network are completely equal every day in the calculation period;

[0023] The commercial engine of the hydraulic calculation module is started to perform pipeline transient hydraulics simulation, and the flow, pressure and temperature of all nodes of the gas transmission pipeline network are calculated by the pipeline transient hydraulics simulation;

[0024] If the calculation results of the flow and pressure of each node reach the boundary limit values of each node in the historical production database module, the next step is entered; otherwise, the trial calculation is restarted.

[0025] According to the calculation results of one or more nodes reaching the boundary limit value of flow, pressure, forming a bottleneck node or pipe section;

[0026] Unbottlenecking measures; after identifying the bottleneck node or pipe section, if there are unbottlenecking measures, return to re-traverse the gas transmission pipeline network one by one and start again; otherwise, go to the next step;

[0027] Take the current calculation result as the technical capacity of all nodes or sub-networks of the node, and get the maximum capacity;

[0028] Use the calculated technical capacity of all nodes and all nodes of each sub-network of the pipe network as the maximum capacity;

[0029] All working condition scene probability calculation: through the working condition scene probability value of the risk assessment module, directly obtain all working condition scene probability results;

[0030] Through the historical production database module, obtain all node independent maximum historical flow value;

[0031] Acceptable risk standard and scene selection: through the acceptable risk standard of the risk assessment module and the working condition scene probability value of the risk assessment module, obtain the acceptable risk standard result of the current calculation working condition scene, and the product of the acceptable risk standard is the reliable technical capacity of each node;

[0032] Take the reliable technical capacity of each node as the final result, and the remaining capacity of the current stage is equal to the difference between the reliable technical capacity of each node and the contract plan occupied capacity, wherein the contract plan occupied capacity is directly obtained from the user shipment management module.

[0033] Further, in a trial manner, increase the flow of a single node or all nodes of a sub-network, including the following four cases, which are carried out independently one by one:

[0034] Increase the flow of a single node or multiple nodes in the opposite direction: in a trial manner, increase the gas volume of a certain number of nodes in the opposite direction;

[0035] Proportionally reduce the capacity of competitive nodes: in a trial manner, proportionally reduce the flow of competitive nodes;

[0036] Proportionally increase the flow of all nodes of a sub-network: for the case of increasing the flow of all nodes of a sub-network in the previous step, proportionally increase the flow of all nodes of the sub-network in a trial manner;

[0037] Network all nodes or different sub-network allocation weight: for the case of increasing the flow of all nodes of a sub-network in the previous step, in a trial manner, the flow increase of all nodes of the sub-network is assigned with different proportions.

[0038] Further, the solution to the bottleneck is to change the preset value of the boundary limit value of the related node.

[0039] The present application has the following advantages due to the above technical solutions:

[0040] 1. The present application realizes the calculation, intelligent monitoring and transparent visualization of the dynamic residual capacity of the gas pipeline network, and can accurately identify the real residual capacity of each node at low cost.

[0041] 2. The present application can fully balance the flexibility and economy of the production and operation of the gas pipeline network, maximize the potential gas transmission efficiency and economic benefit of the gas pipeline network and the shipping user, and meet the consumption demand of the newly added shipping gas volume. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 is the intelligent monitoring system structure diagram of the dynamic residual capacity of the gas pipeline network in the embodiment of the present application;

[0043] Figure 2 is the flow chart of the calculation method of the dynamic residual capacity hydraulic simulation module in the embodiment of the present application. DETAILED DESCRIPTION

[0044] For the gas pipeline and the natural gas pipeline network in the shipping operation mode, i.e. unable to include all users and gas plan in the annual time period to implement unified hydraulic accounting and plan making, and need to frequently disclose the residual capacity of each node, accept the mode of random user specified shipping volume, the dynamic calculation and monitoring of the residual capacity become a key technical problem, the present application proposes an intelligent monitoring system and method for the dynamic residual capacity of the gas pipeline network, relates to the calculation method, monitoring method and implementation system of the dynamic residual capacity, including an industrial computer, a communication optical cable, a SCADA (Supervisory Control And Data Acquisition, data acquisition and monitoring control system) system intermediate database interface, a production information system interface, a GMS (Gas Management System, gas management system) system interface, a real-time QPT (flow, pressure and temperature) metering module, a hydraulic simulation module, a risk assessment module, a scene generation module, a historical production database module, a user shipping management module and a residual capacity monitoring module.

[0045] The present application is used to realize the calculation, intelligent monitoring and transparent visualization of the dynamic residual capacity of the gas pipeline network, can accurately identify the real residual capacity of each node at low cost, fully balance the flexibility and economy of the production and operation of the gas pipeline network, maximize the potential gas transmission efficiency and economic benefit of the gas pipeline network and the shipping user, and meet the consumption demand of the newly added shipping gas volume.

[0046] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be described clearly and completely below with reference to the drawings of the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the described embodiments of the present application, all other embodiments obtained by a person of ordinary skill in the art belong to the scope of protection of the present application.

[0047] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and / or "comprising," when used in this specification, specify the presence of stated features, steps, operations, elements, components, and / or groups thereof, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and / or groups thereof.

[0048] In one embodiment of the present application, as shown in Figure 1 In the embodiment, the system comprises an industrial computer, a communication optical cable, a SCADA (Supervisory Control And Data Acquisition) system intermediate database interface, a production information system interface and a GMS (Gas Management System) system interface. The industrial computer is connected with the SCADA system intermediate database interface, the production information system interface and the GMS system interface through the communication optical cable.

[0049] The industrial computer is provided with a real-time QPT (flow, pressure and temperature) metering module, a hydraulic simulation module, a risk assessment module, a scenario generation module, a historical production database module, a user consignment management module and a residual capacity monitoring module.

[0050] The production information system interface is connected with the historical production database module to transmit production system information to the historical production database module; the SCADA system intermediate database interface is connected with the real-time QPT metering module to transmit SCADA system intermediate database information to the real-time QPT metering module; and the GMS system interface is connected with the user consignment management module to transmit GMS system information to the user consignment management module.

[0051] The historical production database module, the real-time QPT measurement module and the user shipment management module process the received information and transmit the processed information to the scenario generation module. The scenario generation module generates a complete list of working condition scenarios according to the received information and transmits the complete list to the hydraulic simulation module for calculation. The calculation result is transmitted to the risk assessment module for risk assessment. The risk assessment result is transmitted to the residual capacity monitoring module for real-time calculation of dynamic residual capacity. The result of the residual capacity monitoring module is returned to the GMS system interface as the real-time calculation result of the entire system, which is used for modification and management of the planned gas amount.

[0052] In the above embodiment, the historical production database module includes historical data of each node of the gas transmission pipeline network and basic information of the topology structure of the gas transmission pipeline network. The historical data includes data of three parameters of temperature, pressure and flow rate of each node. The basic information of the topology structure of the gas transmission pipeline network includes parameters such as length, pipe diameter, geometric relationship, maximum and minimum operating pressure, maximum and minimum flow rate limit of each node and inter-node pipe segment of the gas transmission pipeline network. The historical production database module obtains data from the production information system interface.

[0053] In the above embodiment, the real-time QPT measurement module includes real-time QPT measurement data of each node of the gas transmission pipeline network. The real-time QPT measurement data includes current measured data of three parameters of temperature, pressure and flow rate of each node. The real-time QPT measurement module obtains data from the SCADA system intermediate database interface.

[0054] In the above embodiment, the user shipment management module includes gas amount daily plan and gas amount monthly plan data of all users of each node of the gas transmission pipeline network. The user shipment management module obtains data from the GMS system interface.

[0055] In the above embodiment, the scenario generation module generates a complete list of working condition scenarios according to different seasons and months and different gas extraction modes of all users (for example, a gas-fired power plant user has multiple gas-fired generator sets, each of which can include two modes of peak shaving operation and uniform operation, and multiple gas-fired generator sets can generate multiple combinations of unit operation modes in the two modes of peak shaving operation and uniform operation).

[0056] In the above embodiment, the risk assessment module includes working condition scenario probability and acceptable risk standard. The working condition scenario probability is the probability distribution of different scenarios that may actually occur in the complete list of working condition scenarios. The acceptable risk standard is the acceptable degree of supply shortage in a short time of each user of each node of the gas transmission pipeline network, such as 90% of the planned gas amount for 24 consecutive hours, 95% of the planned gas amount for 48 consecutive hours, 99% of the planned gas amount for 72 consecutive hours, and the like.

[0057] In the above embodiments, the remaining capacity monitoring module includes the real-time calculated dynamic technical capacity of each node of the gas transmission pipeline network, the contract plan occupied capacity (i.e., the planned gas withdrawal amount), and the real-time calculated dynamic remaining capacity as the difference between the former and the latter.

[0058] The result of the remaining capacity monitoring module is returned to the GMS system interface as a real-time calculation result of the entire system, for modification and management of the planned gas amount.

[0059] In the above embodiments, the hydraulic simulation module includes a commercial engine for transient hydraulics simulation of the pipeline network, and a dynamic remaining capacity hydraulic simulation module for calculating the real-time dynamic remaining capacity.

[0060] In an embodiment of the present application, a dynamic remaining capacity hydraulic simulation calculation method is provided, which is implemented based on the intelligent monitoring system of the dynamic remaining capacity of the gas transmission pipeline network in the above embodiments and is built into the hydraulic simulation module of the system. In this embodiment, as shown in FIG. 8, the method includes the following steps: Figure 2

[0061] 1) The working condition scene complete list is pre-set by the scene generation module, and the scenes are selected in a one-by-one traversal manner.

[0062] 2) The topological structure parameter assignment of the pipeline network model is obtained by the historical production database module, and the PQT data of each node of the previous day is used as the initial parameters of each node in the pipeline network model.

[0063] 3) A single node or a sub-network is selected on the gas transmission pipeline network in a one-by-one traversal manner. The sub-network is a combination of several adjacent single nodes, but must be all injection points or all withdrawal points.

[0064] 4) The flow of all nodes of the single node or the sub-network is increased in a trial calculation manner as an initial increase value.

[0065] Specifically, in this embodiment, the flow of all nodes of the single node or the sub-network is increased in a trial calculation manner, including the following four cases, which are performed independently one by one:

[0066] 4.1) Increase the flow of the single or multiple nodes in the opposite direction: the flow of several nodes in the opposite direction is increased in a trial calculation manner. The so-called opposite direction means that the node selected in the previous step is an injection point, and the node in the opposite direction is a withdrawal point, and vice versa. The flow increased in the previous step is required to be equal to the flow increased in this step in the opposite direction.

[0067] ​4.2) Reduce the competitive node capacity proportionally: in a trial manner, reduce the flow of competitive nodes proportionally. So-called competitive nodes are nodes of the same nature as the nodes selected in the previous step, such as gas injection points or gas extraction points. The gas amount increased in the previous step is required to be equal to the absolute value of the gas amount reduced in this step.

[0068] 4.3) Increase the flow of all nodes in the sub-network proportionally: for the case of increasing the flow of all nodes in the sub-network in the previous step, in a trial manner, increase the flow of all nodes in the sub-network proportionally.

[0069] 4.4) Assign weights to all nodes in the sub-network or different sub-networks: for the case of increasing the flow of all nodes in the sub-network in the previous step, in a trial manner, assign different weights to the increased flow of all nodes in the sub-network.

[0070] 5) Balance the flow of the pipe network, i.e. completely balance the gas amount of all gas injection points and gas extraction points in the pipe network in the calculation period.

[0071] 6) Start the commercial engine of the pipe network transient hydraulics simulation module to perform regular pipe network transient hydraulics simulation calculation on the flow, pressure and temperature of all nodes in the pipe network.

[0072] 7) Calculate the flow and pressure of each node, if the boundary limit value of each node in the historical production database module is reached, go to the next step; otherwise, return to re-trial and start again.

[0073] 8) According to the calculation result, one or more nodes reach the boundary limit value of flow and pressure, i.e. form a bottleneck node or pipe section.

[0074] 9) Bottleneck solution. After identifying the bottleneck node or pipe section, if there is a bottleneck solution, return to re-traverse the pipe network one by one and start again; otherwise, go to the next step.

[0075] Wherein, the bottleneck solution is: the pre-set value of the boundary limit value of the related node can be changed.

[0076] 10) Take the current calculation result as the technical capacity, i.e. the maximum capacity, of the node or all nodes in the sub-network.

[0077] 11) Calculate the technical capacity, i.e. the maximum capacity, of all nodes in the pipe network and all nodes in each sub-network by steps 3) to 10).

[0078] 12) All working condition scenario probability calculation. Through the working condition scenario probability value of the risk assessment module, the all working condition scenario probability result is directly obtained.

[0079] 13) All nodes independent maximum historical traffic value. Through the historical production database module, all nodes independent maximum historical traffic value is obtained.

[0080] 14) Acceptable risk standard and scenario selection. Through the risk assessment module acceptable risk standard and the risk assessment module working condition scene probability value, the current calculation working condition scene acceptable risk standard result is obtained, such as 95%. The product of the acceptable risk standard (such as 95%) is the reliable technical capacity of each node.

[0081] 15) The reliable technical capacity of each node is taken as the final result, and the remaining capacity of the current stage is equal to the difference between the reliable technical capacity of each node and the contract plan occupied capacity, wherein the contract plan occupied capacity is directly obtained from the user shipment management module.

[0082] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An intelligent monitoring system for dynamic surplus capacity of gas transmission pipeline network, characterized in that, Comprise: industrial computer, communication cable, SCADA system intermediate database interface, production information system interface and GMS system interface; Industrial computer is connected with SCADA system intermediate database interface, production information system interface and GMS system interface respectively through communication cable; Real-time QPT measurement module, hydraulic simulation module, risk assessment module, scene generation module, historical production database module, user shipping management module and residual capacity monitoring module are arranged in industrial computer; Production information system interface is connected with historical production database module, and production system information is transmitted to historical production database module; SCADA system intermediate database interface is connected with real-time QPT measurement module, and SCADA system intermediate database information is transmitted to real-time QPT measurement module; GMS system interface is connected with user shipping management module, and GMS system information is transmitted to user shipping management module; Historical production database module, real-time QPT measurement module connection and user shipping management module transmit the received information to scene generation module after processing, scene generation module generates complete list of working condition scene according to the received information, and transmits to hydraulic simulation module for calculation, and the calculation result is transmitted to risk assessment module for risk assessment; Risk assessment result is transmitted to residual capacity monitoring module, and dynamic residual capacity is calculated in real time, and the result of residual capacity monitoring module is returned to GMS system interface as real-time calculation result of the whole system, and is used for modifying and managing planned gas volume.

2. The intelligent monitoring system for dynamic residual capacity of gas pipeline network as claimed in claim 1 wherein, Historical production database module includes historical data of each node of gas transmission pipeline network and basic information of gas transmission pipeline network topology structure, and the historical data includes data of three parameters of temperature, pressure and flow of each node; Basic information of gas transmission pipeline network topology structure includes length, pipe diameter, geometric relationship, maximum and minimum operating pressure, maximum and minimum flow limit parameters of each node and node pipe segment of gas transmission pipeline network, and historical production database module obtains data from production information system interface.

3. The intelligent monitoring system for dynamic residual capacity of gas pipeline network as claimed in claim 1 wherein, Real-time QPT measurement module includes real-time QPT measurement data of each node of gas transmission pipeline network, and real-time QPT measurement data includes current measured data of three parameters of temperature, pressure and flow of each node, and real-time QPT measurement module obtains data from SCADA system intermediate database interface.

4. The intelligent monitoring system for dynamic surplus capacity of gas pipeline network of claim 1, wherein, User shipping management module includes gas volume daily plan and gas volume monthly plan data of all users of each node of gas transmission pipeline network, and user shipping management module obtains data from GMS system interface.

5. The intelligent monitoring system for dynamic surplus capacity of gas pipeline network as claimed in claim 1 wherein, Scene generation module generates complete list of working condition scene according to different seasons and months and different gas extraction modes of all users.

6. The intelligent monitoring system for dynamic surplus capacity of gas pipeline network as claimed in claim 1 wherein, Risk assessment module includes working condition scene probability and acceptable risk standard; Working condition scene probability is probability distribution of different scenes that may actually occur in complete list of working condition scene; acceptable risk standard is acceptable degree of supply shortage in a short time of each user of each node of gas transmission pipeline network.

7. The intelligent monitoring system for dynamic surplus capacity of gas pipeline network as claimed in claim 1 wherein, The residual capacity monitoring module comprises real-time calculated dynamic technical capacity of each node of the gas pipeline network, contract plan occupied capacity, and real-time calculated dynamic residual capacity as the difference between reliable technical capacity and contract plan occupied capacity of each node.

8. A dynamic residual capacity hydraulic simulation calculation method based on the intelligent monitoring system of the dynamic residual capacity of the gas pipeline network as claimed in any one of claims 1 to 7, which is built into the hydraulic simulation module of the intelligent monitoring system of the dynamic residual capacity of the gas pipeline network, characterized in that, It comprises: The working condition scene complete list is preset by the scene generation module, and the scenes are selected in a traversal manner; The topology structure parameters of the pipeline network model are assigned by the historical production database module, and the PQT data of each node of the previous day is taken as the initial parameters of each node in the pipeline network model; In the gas pipeline network, a single node or a sub-network is selected in a traversal manner; the sub-network is a combination of several adjacent single nodes, all of which are injection points or all of which are gas extraction points; In a trial manner, the flow of all nodes of a single node or a sub-network is increased as an initial increase value; The pipeline flow balance is calculated, and the gas amount of all injection points and extraction points of the gas pipeline network is completely equal in each day of the calculation period; The commercial engine of the transient hydraulics simulation of the pipeline network is started, and the flow, pressure and temperature of all nodes of the gas pipeline network are calculated by the transient hydraulics simulation of the pipeline network; If the flow and pressure calculation results of each node reach the boundary limit value of each node in the historical production database module, the next step is entered; Otherwise, the trial is restarted; According to the calculation results of one or more nodes reaching the boundary limit value of flow and pressure, a bottleneck node or pipe section is formed; The bottleneck is resolved; After the bottleneck node or pipe section is identified, if there is a bottleneck resolution measure, the traversal of the gas pipeline network is restarted; Otherwise, the next step is entered; The current calculation result is taken as the technical capacity of all nodes of the node or sub-network to obtain the maximum capacity; The calculated technical capacity of all nodes and all sub-networks of the pipeline network is taken as the maximum capacity; All working condition scene probability calculations are directly obtained by the working condition scene probability value of the risk assessment module; The maximum historical flow value of all nodes is obtained by the historical production database module; The acceptable risk standard and scene selection are obtained by the acceptable risk standard of the risk assessment module and the working condition scene probability value of the risk assessment module, and the product of the acceptable risk standard is the reliable technical capacity of each node; The reliable technical capacity of each node is taken as the final result, and the residual capacity of the current stage is equal to the difference between the reliable technical capacity of each node and the contract plan occupied capacity, wherein the contract plan occupied capacity is directly obtained from the user shipment management module.

9. The dynamic residual capacity hydraulic simulation calculation method of claim 8, wherein: In a trial manner, the flow of all nodes of a single node or a sub-network is increased, including the following four cases, which are performed independently: Increase the flow of the reverse direction single or multiple nodes: in a trial manner, the gas amount of the reverse direction nodes is increased; Proportionally reduce the competitive node capacity: in a trial manner, the flow of the competitive nodes is proportionally reduced; Proportionally increase the flow of all nodes of the sub-network: for the case of increasing the flow of all nodes of the sub-network in the previous step, the flow of all nodes of the sub-network is proportionally increased in a trial manner; The network all nodes or different sub-network distribution weight: for the next step is to increase the sub-network all nodes traffic, in a trial and error manner, the sub-network all nodes traffic increase in different proportion of the value of the assignment.

10. The dynamic residual capacity hydraulic simulation calculation method of claim 8, wherein: The bottleneck solution is to change the preset value of the boundary limit value of the relevant node.

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