Valve pipe network system and state evaluation method thereof

Abstract

The invention belongs to the technical field of valve pipe networks, and particularly relates to a valve pipe network system and a state evaluation method thereof.The method comprises the steps that actual pressure drop values delta P'a of a fluid inflow point and a fluid outflow point at a certain moment on a pipe network are obtained, information on the pipe network is obtained, and the information and the actual pressure drop values delta P'a are stored in a database; establishing a valve network pressure drop model, calculating a calculated pressure drop value delta Pa of a fluid inflow point and a fluid outflow point at the same moment, and calculating a normal error range value (m% to n%), a pressure drop difference value f and a ratio h of the fluid inflow point and the fluid outflow point at the same moment corresponding to a certain moment; if m%, no valve in the pipe network is abnormal; if the ratio m% is less than or equal to hlt; if the ratio h is larger than or equal to n%, the valve in the pipe network is possibly abnormal, if the ratio h is larger than or equal to n%, valve abnormity and output faults exist in the pipe network, the pipe network is divided into a plurality of sub-pipe networks according to the series connection and parallel connection relation of the branches, and the sub-pipe networks repeat the steps till the position of the valve which is possibly abnormal or abnormal is located.

Description

Technical Field

[0001] The present invention belongs to the technical field of valve pipe networks, and in particular relates to a valve pipe network system and a state assessment method thereof. Background Art

[0002] In industrial pipe network systems, valves are key control components, with large numbers and wide distribution. The normal operation of valves is crucial to ensure the safety and stability of the entire industrial system. Once a valve fails, it may trigger a chain reaction, causing abnormal operation of the entire industrial pipe network system, and even cause safety accidents in serious cases.

[0003] Therefore, the valve fault location and diagnosis system plays an extremely important role in the operation and maintenance management of industrial pipe networks. However, in practical applications, how to establish an accurate and practical valve network model to achieve rapid fault location and diagnosis has always been a technical difficulty in the industry.

[0004] The pipeline model in the existing patent does not take into account the impact of valve abnormalities on pipeline network flow and pressure, resulting in low accuracy in determining whether a valve abnormality occurs. Summary of the invention

[0005] In view of this, the present invention provides a valve pipe network system and a state assessment method thereof to solve the technical problem in the prior art of low accuracy in determining whether a valve is abnormal.

[0006] To achieve the above objectives, this application adopts the following scheme:

[0007] A valve pipe network system status assessment method comprises the following steps:

[0008] S10. Obtain the actual pressure drop value ΔP' at the fluid inflow point and fluid outflow point at a certain moment on the pipeline network to be evaluated a :Get the actual pressure value p' of the fluid inflow point at a certain moment in the pipe network to be evaluated a1 and the actual pressure value p' at the fluid outflow point b1 , the actual pressure drop value ΔP' a =p' a1 -p' b1 ;

[0009] S20. Obtain the pipe segment attribute information and valve attribute information of the valve network on the pipe network to be evaluated, collect the operation status information of the valve network in real time, and store the pipe segment attribute information, the valve attribute information, the operation status information and the actual pressure drop value ΔP' a stored in a database;

[0010] S30. Based on the pipeline network topology structure to be evaluated, establish a valve network pressure drop model using Bernoulli's equation and impedance equation;

[0011] S40. The valve network pressure drop model calls the pipe section attribute information, the valve attribute information, and the operating status information in the database, and uses the pressure drop model algorithm to calculate the calculated pressure drop value ΔP of the fluid inlet point and the fluid outlet point at the same moment. a ;

[0012] S50. Calculate the normal error range value (m% to n%) of the fluid inlet point and the fluid outlet point at the same moment corresponding to the pipeline network to be evaluated. The normal error range value (m% to n%) is obtained through the following steps:

[0013]

[0014] where f is the pressure drop difference obtained by taking the difference between the calculated pressure drop value ΔP a and the actual pressure drop value ΔP', a h is specifically the ratio obtained by dividing the absolute value of the pressure drop difference f by the calculated pressure drop value ΔP. For a specific pipeline network, simulate that a valve in the pipeline network has a fault A, and the minimum value of the ratio h is obtained as a%. Simulate that a valve in the pipeline network has a fault B, and the minimum value of the ratio h is obtained as b%. Simulate that a valve in the pipeline network has a fault C, and the minimum value of the ratio h is obtained as c%. Simulate that a valve in the pipeline network has a fault D, and the minimum value of the ratio h is obtained as d%. Assume a% < b% < c% < d%, then m% = a% and n% = d%;

[0015] S60. If the ratio h < m%, then there is no valve abnormality in the pipeline network, output the pipeline network ID and the calculated pressure drop value, and the evaluation ends; if the ratio m% ≤ h < n%, then there may be a valve abnormality in the pipeline network. If the ratio h ≥ n%, then there is a valve abnormality in the pipeline network, output the fault, and divide the pipeline network into several sub-pipeline networks according to the series and parallel relationships of each branch. The sub-pipeline networks repeat S10 to S60 until the possible abnormal or abnormal valve position is located, and then the evaluation ends.

[0016] Preferably, the pipe section attribute information includes: pipe section ID, friction resistance coefficient, length, diameter, pipe section height, tee ID, ratio of the branch pipe section flow to the total flow of the tee, local resistance coefficient of the tee from the total flow pipe section into the branch pipe section, local resistance coefficient of the tee from the total flow pipe section into the straight pipe section, relative height of the tee, elbow ID, local resistance coefficient of the elbow, relative height of the elbow.

[0017] ​​Preferably, the valve attribute information includes: valve ID, valve opening, local resistance coefficient, and valve height.

[0018] Preferably, the operating status information includes: pipeline inlet section pressure, pipeline outflow point section pressure, fluid density, section fluid mass flow, valve section fluid mass flow, valve inlet pressure, valve inlet pressure.

[0019] Preferably, the step S30 specifically includes: using the pipe network intelligent drawing software to draw the pipe network topology diagram to be evaluated, setting the ID of each valve and each pipe section, and connecting it to the database. When drawing an element, the element is numbered, and the corresponding ID table is automatically generated in the database connected thereto, and the attribute information and the operating status information of the element are imported.

[0020] Preferably, when the pipe network is a series structure, the pressure drop model is operated by the following formula:

[0021] S c =∑λ i l i b i +∑ζ k +∑ξ j

[0022]

[0023] Where: S c is the total resistance of the series pipe section, λ i is the friction coefficient of pipe section i, l i is the length of pipe section i, b i is the reciprocal of the diameter of pipe section i, ξ i is the local resistance coefficient of valve i, ζ k ΔP is the local resistance coefficient of elbows, tees and other components in the pipe network; c Calculate the pressure drop value for the series pipe section, ρ is the fluid density, v i is the fluid velocity of the series pipe section, v vj is the flow rate of valve j, g is the acceleration due to gravity, Δh c It is the height difference between the fluid inflow point and the fluid outflow point of the series part of the pipe network.

[0024] Preferably, when the pipe network is a parallel structure, the pressure drop model is operated by the following formula:

[0025]

[0026] Where: S b is the total resistance of the parallel pipe section, λ m and λ nare the friction coefficients of pipe segment m in parallel branch 1 and pipe segment n in branch 2, respectively. m and l n For its tube length, b m and b n is the reciprocal of the pipe diameter, ξ x and y They are the equivalent local resistance coefficient values ​​of valve x in parallel branch 1 and valve y in branch 2, respectively. The specific calculation method is that when the opening is less than 100%, the pressure drop at the current valve opening and the flow rate when the valve opening is 100% are used to calculate the local resistance coefficient value; ΔP b Calculate the pressure drop for the parallel pipe sections, v k is the fluid flow rate of the pipe section connected in series with the parallel pipe section, Δh b It is the height difference between the branch point and the convergence point of the parallel part of the pipeline network.

[0027] Preferably, when the pipe network is a complex industrial pipe network structure, the pressure drop model is operated by the following formula:

[0028]

[0029] ΔP a =p a1 -p b1

[0030] Where: ΔP a Calculate pressure drop for complex industrial pipe networks, p b1 and p a1 are the calculated pressure values ​​of the fluid outflow point and fluid inflow point of the pipeline network, respectively, a1 and v b1 are the flow velocities at the fluid inflow point and fluid outflow point, respectively, h a1 and h b1 are the heights of the fluid inflow point and fluid outflow point, respectively.

[0031] A valve pipe network system, comprising a plurality of pipe networks, each of which is provided with a plurality of pressure sensors and mass flow sensors, and further comprising a signal transmission cable, a data acquisition module, a signal processing module, a central control system and a power supply module, wherein the mass flow sensor and the pressure sensor are respectively connected to the data acquisition module through the signal transmission cable for communication, the pressure sensor is used to collect the pressure value in the pipe network, the mass flow sensor is used to collect the mass flow value in the pipe network, the signal transmission cable is used to transmit the collected pressure value and the mass flow value to the data acquisition module to obtain a pressure analog signal and a mass flow analog signal, and convert the pressure analog signal and the mass flow analog signal into a processable pressure digital signal and a mass flow digital signal, the signal processing module is used to condition and amplify the pressure digital signal and the mass flow digital signal, the signal processing module is electrically connected to the central control system, and the central control system is used to store and manage the processed The processed pressure digital signal and mass flow digital signal are used, and the power module is used to provide a stable power supply for the whole system; the pressure sensor includes a plurality of first pressure sensors, a second pressure sensor and a third pressure sensor, and the mass flow sensor includes a plurality of first mass flow sensors and a second mass flow sensor. Each fluid inflow point of the pipeline network is respectively provided with the first pressure sensor and the first mass flow sensor, and the first pressure sensor and the first mass flow sensor are respectively used to collect the pressure value and the mass flow value of the fluid inflow point of the pipeline network, and each fluid outflow point of the pipeline network is respectively provided with the second pressure sensor and the second mass flow sensor, and the second pressure sensor and the second mass flow sensor are respectively used to collect the pressure value and the mass flow value of the fluid inflow and outflow point of the pipeline network; each of the pipeline networks includes a plurality of Internet valves, and each of the Internet valves is provided with a third pressure sensor, and the third pressure sensor is used to collect the pressure value of the corresponding Internet valve.

[0032] The technical solution adopted in this application can achieve the following beneficial effects:

[0033] The present invention provides a valve pipe network system status assessment method, firstly, obtaining the actual pressure drop value ΔP' of the fluid inflow point and the fluid outflow point at the same time corresponding to the certain time on the pipe network to be assessed. a; Then, obtain the pipe segment attribute information and valve attribute information of the valve network on the pipeline to be evaluated, collect the operation status information of the valve network in real time, and store the pipe segment attribute information, the valve attribute information, the operation status information, and the actual pressure drop value in a database; according to the topological structure diagram of the pipeline to be evaluated, establish a valve network pressure drop model using the Bernoulli equation and the impedance equation, and perform operations in combination with the matrix information in the database to calculate the calculated pressure drop value ΔP of the fluid inlet point and the fluid outlet point at the same moment a ; Calculate the normal error range value of the fluid inlet point and the fluid outlet point at the same moment corresponding to a certain moment on the pipeline to be evaluated; use the calculated pressure drop value ΔP a and the actual pressure drop value ΔP' a to find the difference to obtain a pressure drop difference f, and divide the absolute value of the pressure drop difference f by the calculated pressure drop value ΔP a to obtain a ratio h, that is: Determine whether the valves in the pipeline network are abnormal by judging the ratio h and the normal error range value, realize the computer automatic establishment of the valve network model of the complex industrial pipeline network, perform operations and analysis through the computer, automatically locate the abnormalities in the valve network, reduce manual intervention, improve the speed and accuracy of fault location. If the ratio h < m%, there are no abnormal valves in the pipeline network, output the pipeline network ID and the calculated pressure drop value, and the evaluation ends; if the ratio m% ≤ h < n%, there may be abnormal valves in the pipeline network. If the ratio h ≥ n%, there are abnormal valves in the pipeline network, output the fault, and divide the pipeline network into several sub-pipeline networks according to the series and parallel relationships of each branch. The sub-pipeline networks repeat the S10 to the S60 until the possible abnormal or abnormal valve positions are located, and then the evaluation ends. By gradually narrowing the calculation range, accurately locate the possible abnormal or abnormal valve positions

[0034] The present invention can also efficiently process and manage the massive data in the complex pipeline network system by identifying the pipeline network structure, establishing a valve network pressure drop model, and constructing a pressure drop model algorithm Brief Description of the Drawings

[0035] Figure 1 It is a flowchart of the present invention of this application

[0036] Figure 2 It is a schematic diagram of the valve network of a complex industrial pipeline

[0037] Figure 3 is Figure 2 a schematic diagram of sub-pipeline network 3 in

[0038] Figure 4 It is smaller sub-pipeline networks m1, m2, and m3 divided from sub-pipeline network 3

[0039] Figure 5 This is the flow chart of the pressure drop model algorithm. DETAILED DESCRIPTION

[0040] In order to facilitate the understanding of the present application, the present application will be described more comprehensively below in conjunction with the accompanying drawings. And the preferred implementation of the present application is given. However, the present application can be implemented in many different forms and is not limited to the implementation described herein. On the contrary, the purpose of providing these implementations is to make the disclosure of the present application more thoroughly and comprehensively understood.

[0041] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by those skilled in the art to which this application belongs. The terms used herein in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0042] Please see Figure 1 and Figure 5 The present invention provides a valve pipe network system status assessment method, comprising the following steps:

[0043] S10. Obtain the actual pressure drop value ΔP' at the fluid inflow point and fluid outflow point at a certain moment on the pipeline network to be evaluated a :Get the actual pressure value p' of the fluid inflow point at a certain moment in the pipe network to be evaluated a1 and the actual pressure value p' at the fluid outflow point b1 , the actual pressure drop value ΔP' a =p' a1 -p' b1 ;

[0044] S20. Obtain the pipe segment attribute information and valve attribute information of the valve network on the pipe network to be evaluated, collect the operation status information of the valve network in real time, and store the pipe segment attribute information, the valve attribute information, the operation status information and the actual pressure drop value ΔP' a stored in a database;

[0045] S30. According to the pipe network topology diagram to be evaluated, a valve network pressure drop model is established using the Bernoulli equation and the impedance equation;

[0046] S40. The valve network pressure drop model calls the pipe segment attribute information, the valve attribute information and the operation status information in the database, and uses the pressure drop model algorithm to calculate the calculated pressure drop value ΔP of the fluid inflow point and the fluid outflow point at the same time a ;

[0047] S50. Calculate the normal error range value (m% to n%) of the pipeline network to be evaluated at the same moment corresponding to a certain moment for the fluid inlet point and the fluid outlet point. The normal error range value (m% to n%) is obtained through the following steps:

[0048]

[0049] where f is the calculated pressure drop value ΔP a subtracted from the actual pressure drop value ΔP' a to obtain the pressure drop difference, and h is specifically the ratio obtained by dividing the absolute value of the pressure drop difference f by the calculated pressure drop value ΔP a For a specific pipeline network, simulate that a valve in the pipeline network fails as A, and the minimum value of the ratio h is obtained as a%. Simulate that a valve in the pipeline network fails as B, and the minimum value of the ratio h is obtained as b%. Simulate that a valve in the pipeline network fails as C, and the minimum value of the ratio h is obtained as c%. Simulate that a valve in the pipeline network fails as D, and the minimum value of the ratio h is obtained as d%. Assume a% < b% < c% < d%, then m% = a% and n% = d%;

[0050] S60. If the ratio h < m%, then there is no valve abnormality in the pipeline network, output the pipeline network ID and the calculated pressure drop value, and the evaluation ends; if the ratio m% ≤ h < n%, then there may be a valve abnormality in the pipeline network. If the ratio h ≥ n%, then there is a valve abnormality in the pipeline network, output the fault, and divide the pipeline network into several sub-pipeline networks according to the series and parallel relationships of each branch. The sub-pipeline networks repeat the steps from S10 to S60 until the possible abnormal or abnormal valve position is located, and then the evaluation ends.

[0051] In this embodiment, since the calculated fluid inlet point pressure value and the actual fluid inlet point pressure value are the same value, therefore, the valve network pressure drop model provided in this application actually calculates the pressure value of the calculated fluid outlet point based on the pressure value of the actual fluid inlet point. After calculating the pressure value of the calculated fluid outlet point, it is subtracted from the pressure value of the calculated fluid inlet point (actual fluid inlet point) to obtain the calculated pressure drop value ΔP a . The specific implementation manner of the valve network pressure drop model algorithm is as follows: According to the XML file of the pipeline network topology structure obtained by the pipeline network intelligent drawing software, identify the XML file and generate the pipeline network topology structure to obtain the structural information of the pipeline network that can be operated; call the attribute information of the pipe segments and valves and the operation status information at a certain moment in the database, for example: at time T, the actual measured pipeline network pressure drop value ΔP' at time T a ; generate the resistance calculation matrices for the series part and the parallel part according to the pipeline network structural information; calculate the calculated pressure drop values for the series part and the parallel part; calculate the calculated pressure drop value of the pipeline network; compare the calculated pressure drop value ΔP a of the pipeline network with the actual pressure drop value ΔP'a Take the difference to obtain the pressure drop difference f, and divide the absolute value of the pressure drop difference f by the calculated pressure drop value to obtain the ratio h, that is: Compare the ratio h at the T moment with the normal error value at the T moment: If the ratio m% ≤ h < n%, there may be an abnormality in the valves in the pipe network. If the ratio h ≥ n%, there is an abnormality in the valves in the pipe network. Output "fault" and alarm, and at the same time output the pipe network ID and the calculated pressure drop value. Then divide the abnormal pipe network into subnetworks 1 to n, and repeat the above steps for subnetworks 1 to n respectively until the abnormal subnetwork is located to a specific valve to accurately locate the possible abnormal or abnormal position; if the ratio h < m%, the pipe network is normal, output "normal", and at the same time output the pipe network ID and the calculated pressure drop value.

[0052] The present invention provides a method for evaluating the state of a valve pipe network system. According to the modeling steps of the present invention, a modeling algorithm is generated to realize the automatic establishment of a valve network model of a complex industrial pipe network by a computer, and through computer operation and analysis, the abnormality in the valve network is automatically located, reducing manual intervention, improving the speed and accuracy of fault location. By collecting the operation state information of the valve network and the attribute information of the pipe sections and valves in real time, a valve network pressure drop model is established by using the Bernoulli equation and the pipe network impedance equation, and operations are carried out in combination with the matrix information in the database. According to the pipe network pressure drop information, it is judged whether the valves and pipe sections are abnormal, and the calculation range is gradually reduced to accurately locate the possible abnormal or abnormal valve position.

[0053] The present invention can also efficiently process and manage the massive data in a complex pipe network system by identifying the pipe network structure, establishing a valve network pressure drop model, and constructing a pressure drop model algorithm.

[0054] Among them, the pipe section attribute information includes: pipe section ID, friction resistance coefficient, length, diameter, pipe section height, tee ID, ratio of the branch pipe section flow to the total flow of the tee, local resistance coefficient of the tee flowing from the total flow pipe section into the branch pipe section, local resistance coefficient of the tee flowing from the total flow pipe section into the straight pipe section, relative height of the tee, elbow ID, local resistance coefficient of the elbow, relative height of the elbow; the valve attribute information includes: valve ID, valve opening, local resistance coefficient, valve height; the operation state information includes: pipe network inlet pipe section pressure, pipe network outlet point pipe section pressure, fluid density, partial fluid mass flow of the pipe section, partial fluid mass flow of the valve, valve inlet pressure, valve inlet pressure.

[0055] Specifically, the step S30 specifically includes: using the pipe network intelligent drawing software to draw the pipe network topology diagram to be evaluated, setting the ID of each valve and each pipe section, and connecting it to the database. When drawing an element, the element is numbered, and the corresponding ID table is automatically generated in the database connected to it, and the attribute information and the operating status information of the element are imported.

[0056] The valve pipe network system status assessment method provided above can be used to assess the following valve pipe network systems. The pressure values ​​of the fluid outflow point and the fluid inflow point in the valve pipe network system status assessment method provided by the present invention can also be obtained through the following valve pipe network system provided by the present invention. It should be noted that the pressure values ​​of the fluid outflow point and the fluid inflow point in the valve pipe network system status assessment method provided by the present invention can be obtained through any system existing in the prior art, and are not limited to being obtained through the following system provided by the present invention.

[0057] The present invention also provides a valve pipe network system, comprising a plurality of pipe networks, each of which is provided with a plurality of pressure sensors and mass flow sensors, and further comprising a signal transmission cable, a data acquisition module, a signal processing module, a central control system and a power supply module, wherein the mass flow sensor and the pressure sensor are respectively connected to the data acquisition module for communication via the signal transmission cable, the pressure sensor is used to collect the pressure value in the pipe network, the mass flow sensor is used to collect the mass flow value in the pipe network, the signal transmission cable is used to transmit the collected pressure value and the mass flow value to the data acquisition module to obtain a pressure analog signal and a mass flow analog signal, and convert the pressure analog signal and the mass flow analog signal into a processable pressure digital signal and a mass flow digital signal, the signal processing module is used to condition and amplify the pressure digital signal and the mass flow digital signal, the signal processing module is electrically connected to the central control system, and the central control system is used to store and The pressure digital signal and the mass flow digital signal after management processing, the power module is used to provide a stable power supply for the whole system; the pressure sensor includes a plurality of first pressure sensors, a second pressure sensor and a third pressure sensor, the mass flow sensor includes a plurality of first mass flow sensors and a second mass flow sensor, each of the fluid inflow points of the pipe network is respectively provided with the first pressure sensor and the first mass flow sensor, the first pressure sensor and the first mass flow sensor are respectively used to collect the pressure value and the mass flow value of the fluid inflow point of the pipe network, each of the fluid outflow points of the pipe network is respectively provided with the second pressure sensor and the second mass flow sensor, the second pressure sensor and the second mass flow sensor are respectively used to collect the pressure value and the mass flow value of the fluid inflow and outflow points of the pipe network; each of the pipe networks includes a plurality of Internet valves, each of the Internet valves is provided with a third pressure sensor, and the third pressure sensor is used to collect the pressure value of the corresponding Internet valve.

[0058] The following specific experimental examples are used to further illustrate the technical solutions and technical effects of the present invention. It should be noted that the following experimental examples are only for further explaining the present invention and do not limit the technical solutions of the present invention.

[0059] Example 1

[0060] When the pipe network is a complex industrial pipe network structure, Figure 2 This is a schematic diagram of the valve network of a complex industrial pipeline. Figure 3 for Figure 2Schematic diagram of neutron pipe network 3, including the series and parallel pipe networks. Pipe network identification is as follows: Use pipe network intelligent drawing software to draw the pipe network topology with pipe segment ID and valve ID. When each pipe segment ID or valve ID is drawn, the database will automatically generate an information table corresponding to this ID, with the row vector [r1, r2, r3, …, r n ], [s1,s2,s3,…,s n ], …, [z1,z2,z3, …,z n ] to record the same type of data at different time points. When calculating the pressure drop of the pipe network, different column vectors are called Calculate the network pressure drop at different times. After the network topology is drawn, generate an XML file of the network structure, identify the XML file and generate the network topology, and obtain the computable network structure information. Analysis of the structure of sub-network 3 shows that the series part of the network is pipe section 1-2-3 and pipe section 10-11, and the parallel part of the network is pipe section 4-5-6 and pipe section 7-8-9 in parallel. The information table format in the database is shown in Table 1.

[0061] Table 1 Information table format

[0062]

[0063] The pressure drop model of the series part in sub-pipeline network 3 is:

[0064]

[0065] The pressure drop model of the parallel part in sub-pipeline network 3 is:

[0066]

[0067] The complex pressure drop model of sub-network 3 is:

[0068]

[0069] ΔP a =p a1 -p b1

[0070] Where: ΔP a Calculate pressure drop for complex industrial pipe networks, p b1 and p a1 are the calculated pressure values ​​of the fluid outflow point and fluid inflow point of the pipeline network, respectively, a1 and v b1 are the flow velocities at the fluid inflow point and fluid outflow point, respectively, h a1 and h b1 are the heights of the fluid inflow point and fluid outflow point, respectively.

[0071] Divide the complex industrial pipe network into n sub - pipe networks and establish a valve network pressure drop model. Use the pressure drop model algorithm to determine whether there are abnormalities in the sub - pipe networks. After analyzing and determining that there is an abnormality in sub - pipe network 3, further divide it into smaller sub - pipe networks m1, m2, m3 (as Figure 4 shown), and repeat the above steps until the location of the possibly abnormal or abnormal valve is accurately located. Transmit the fault information to the remote monitoring center through the Internet and take maintenance measures in a timely manner.

[0072] The specific implementation method of the pressure drop model algorithm is as follows:

[0073] According to the XML file of the pipe network topology structure obtained by the pipe network intelligent mapping software, identify the XML file and generate the pipe network topology structure to obtain the structural information of the pipe network that can be calculated;

[0074] Call the attribute information of pipe segments and valves and the operation status information at time T in the database;

[0075] Calculate the pressure drop values of the series part and the parallel part;

[0076] Calculate the calculated pressure drop value ΔP of the pipe network a ;

[0077] Calculate the normal error range value of the pipe network;

[0078] Subtract the actual pressure drop value ΔP' from the calculated pressure drop value ΔP a to obtain the pressure drop difference f; a Divide the absolute value of the pressure drop difference f by the calculated pressure drop ΔP

[0079] value to obtain the ratio h, that is: a value to obtain the ratio h, that is:

[0080] Compare the ratio h at time T with the normal error value at time T: If the ratio h < m%, there is no valve abnormality in the pipe network, output the pipe network ID and the calculated pressure drop value, and the evaluation ends; If the ratio m% ≤ h < n%, there may be a valve abnormality in the pipe network. If the ratio h ≥ n%, there is a valve abnormality in the pipe network. Output "fault" and alarm, and at the same time output the pipe network ID and the calculated pressure drop value. Then divide the abnormal pipe network into sub - pipe networks 1 to n, and repeat the above steps for sub - pipe networks 1 to n respectively until the location of the possibly abnormal or abnormal valve is accurately located.

[0081] For example: According to the pipe network intelligent drawing software, the XML file of the pipe network topology structure of the sub-pipeline network 3 is obtained, the XML file is identified and the pipe network topology structure is generated, and the structural information of the pipe network that can be calculated is obtained, that is, the series part of the pipe network is pipe section 1-2-3 and pipe section 10-11, and the parallel part of the pipe network is pipe section 4-5-6 in parallel with pipe section 7-8-9.

[0082] Call the attribute information of the pipe segment and valve in the database, and the operating status information at time T:

[0083] The pipe network attribute information is as follows: SID1: information table used to point to ID1 attribute information; λ1: friction coefficient of pipe segment 1; l1: length of pipe segment 1; d1: diameter of pipe segment 1; h1: relative height of pipe segment 1; open1: opening of valve 1; ξ1: local resistance coefficient of valve 1 at the current opening (open1); h v1 : Relative height of valve 1; m 1t3 / m 1t1 : The ratio of the branch flow of tee 1 to the total flow; ζ 1(34) : local resistance coefficient of the tee 1 flowing from the total flow pipe section 3 into the branch pipe section 4; ζ 1(37) : local resistance coefficient of tee 1 flowing from total flow pipe section 3 into straight pipe section 7; h T1 : relative height of tee 1; ζ2: local resistance coefficient of elbow 2; h B2 : The relative height of elbow 2.

[0084] The attribute information matrix of sub-network 3 is as follows:

[0085] [SID1, λ1, l1, d1, h1] = [P1, 0.0285, 0.5, 0.032, 0],

[0086] [SID2, λ2, l2, d2, h2] = [P2, 0.0285, 0.5, 0.032, 0],

[0087] [SID3, λ3, l3, d3, h3] = [P3, 0.0285, 0.5, 0.032, 0],

[0088] [SID4, λ4, l4, d4, h4] = [P4, 0.0342, 0.5, 0.032, 0],

[0089] [SID5, λ5, l5, d5, h5] = [P5, 0.0342, 0.5, 0.032, 0],

[0090] [SID6, λ6, l6, d6, h6] = [P6, 0.0342, 0.5, 0.032, 0],

[0091] <h2 style=";text-align:left;direction:ltr">[SID7,λ7,l7,d7,h7]=[P7,0.0314,0.5,0.032,0],<h2 style=";text-align:left;direction:ltr"> <h2 style=";text-align:left;direction:ltr">

[0092] <h2 style=";text-align:left;direction:ltr"> [SID8,λ8,l8,d8,h8]=[P8,0.0314,0.5,0.032,0],<h2 style=";text-align:left;direction:ltr"> <h2 style=";text-align:left;direction:ltr">

[0093] <h2 style=";text-align:left;direction:ltr"> [SID9,λ9,l9,d9,h9]=[P9,0.0314,0.5,0.032,0],<h2 style=";text-align:left;direction:ltr"> <h2 style=";text-align:left;direction:ltr">

[0094] <h2 style=";text-align:left;direction:ltr"> [SID10,λ<h2 style=";text-align:left;direction:ltr"> 10 <h2 style=";text-align:left;direction:ltr"> ,l<h2 style=";text-align:left;direction:ltr"> 10 <h2 style=";text-align:left;direction:ltr"> ,d<h2 style=";text-align:left;direction:ltr"> 10 <h2 style=";text-align:left;direction:ltr"> ,h<h2 style=";text-align:left;direction:ltr"> 10 <h2 style=";text-align:left;direction:ltr"> ]=[P10,0.0285,0.5,0.032,0],<h2 style=";text-align:left;direction:ltr"> <h2 style=";text-align:left;direction:ltr">

[0095] <h2 style=";text-align:left;direction:ltr"> [SID11,λ<h2 style=";text-align:left;direction:ltr"> 11 <h2 style=";text-align:left;direction:ltr"> ,l<h2 style=";text-align:left;direction:ltr"> 11 <h2 style=";text-align:left;direction:ltr"> ,d<h2 style=";text-align:left;direction:ltr"> 11 <h2 style=";text-align:left;direction:ltr"> ,h<h2 style=";text-align:left;direction:ltr"> 10 <h2 style=";text-align:left;direction:ltr"> ]=[P11,0.0285,0.5,0.032,0],<h2 style=";text-align:left;direction:ltr"> <h2 style=";text-align:left;direction:ltr">

[0096] <h2 style=";text-align:left;direction:ltr"> [SID12,open1,ξ1,h<h2 style=";text-align:left;direction:ltr"> v1 <h2 style=";text-align:left;direction:ltr"> ]=[V1,0.8,0.4779,0],<h2 style=";text-align:left;direction:ltr"> <h2 style=";text-align:left;direction:ltr">

[0097] <h2 style=";text-align:left;direction:ltr"> [SID13,open2,ξ2,h<h2 style=";text-align:left;direction:ltr"> v2 <h2 style=";text-align:left;direction:ltr"> ]=[V2,0.9,0.2498,0],<h2 style=";text-align:left;direction:ltr"> <h2 style=";text-align:left;direction:ltr">

[0098] <h2 style=";text-align:left;direction:ltr"> [SID14,open3,ξ3,h<h2 style=";text-align:left;direction:ltr"> v3 <h2 style=";text-align:left;direction:ltr"> ]=[V3,0.8,0.4767,0],<h2 style=";text-align:left;direction:ltr"> <h2 style=";text-align:left;direction:ltr">

[0099] <h2 style=";text-align:left;direction:ltr"> [SID15,open4,ξ4,h<h2 style=";text-align:left;direction:ltr"> v4 <h2 style=";text-align:left;direction:ltr"> ]=[V4,0.7,1.8076,0],<h2 style=";text-align:left;direction:ltr"> <h2 style=";text-align:left;direction:ltr">

[0100] <h2 style=";text-align:left;direction:ltr"> [SID16,open5,ξ5,h<h2 style=";text-align:left;direction:ltr"> v5 <h2 style=";text-align:left;direction:ltr"> ]=[V5,0.9,0.2498,0],<h2 style=";text-align:left;direction:ltr"> <h2 style=";text-align:left;direction:ltr">

[0101] <h2 style=";text-align:left;direction:ltr"> [SID17,m<h2 style=";text-align:left;direction:ltr"> 1t3 <h2 style=";text-align:left;direction:ltr"> / m<h2 style=";text-align:left;direction:ltr"> 1t1 <h2 style=";text-align:left;direction:ltr"> ,ζ<h2 style=";text-align:left;direction:ltr"> 1(34) <h2 style=";text-align:left;direction:ltr"> ,ζ<h2 style=";text-align:left;direction:ltr"> 1(37) <h2 style=";text-align:left;direction:ltr"> ,h<h2 style=";text-align:left;direction:ltr"> T1 <h2 style=";text-align:left;direction:ltr"> ]=[T1,0.4084,0.2583,-1.9507,0],<h2 style=";text-align:left;direction:ltr"> <h2 style=";text-align:left;direction:ltr">

[0102] <h2 style=";text-align:left;direction:ltr"> [SID18,ζ2,h<h2 style=";text-align:left;direction:ltr"> B2]=[B2,0.1652,0],

[0103] [SID19,m 3t3 / m 3t1 ,ζ 3(610) ,ζ 3(910) ,h T3 ]=[T3, 0.5916, 6.8717, 3.1028, 0],

[0104] [SID20,ζ4,h B4 ]=[B4,0.1652,0],

[0105] The operation status information of the pipeline network at time T is as follows: p' a1 : The actual pressure value of the fluid inflow point at time T in the pipeline network; p' b1 : The actual pressure value of the fluid outflow point at the time T of the pipeline network; YID1: The information table used to point to the operating status information of ID1 at the time T; m1: The mass flow rate of the fluid in the pipeline segment 1 at the time T; ρ1: The fluid density of the fluid in the pipeline segment 1 at the time T; m v1 : Mass flow rate of fluid in valve 1 at time T; ρ v1 : Density of the fluid in valve 1 at time T; p va1 : Valve 1 inlet pressure at time T; p vb1 : Valve 1 outlet pressure at time T. Since the pressure sensor and mass flow sensor for collecting pipe network data are both Class III precision instruments, when the fluid in the pipe network is stable, the mass flow data error is approximately ±1.5% to ±3.0% of the full scale, and the pressure sensor error is approximately ±1.0% to ±2.5% of the full scale. The average value of the 100 sets of data obtained by measurement is taken as the actual operation data at time T.

[0106] The operating status information matrix of the sub-pipeline network at time 3T is as follows:

[0107] [p′ a1 ,p′ b1 ] = [103790.6517, 99582.3658],

[0108] [YID1, m1, ρ1] = [P1, 0.9496, 999.8583],

[0109] [YID2,m2,ρ2[=[P2,0.9496,999.8583],

[0110] [YID3,m3,ρ3]=[P3,0.9496,999.8583],

[0111] [YID4,m4,ρ4]=[P4,0.3878,999.8583],

[0112] [YID5,m5,ρ5]M[P5,0.3878,999.8583],

[0113] [YID6,m6,ρ6]M[P6,0.3878,999.8583],

[0114] [YID7,m7,ρ7]M[P7,0.5618,999.8583],

[0115] [YID8,m8,ρ8]M[P8,0.5618,999.8583],

[0116] [YID9,m9,ρ9]M[P9,0.5618,999.8583],

[0117] [YID10, m 10 ,ρ 10 ](P10,0.9496,999.8583],

[0118] [YID11, m 11 ,ρ 11 ](P11,0.9496,999.8583],

[0119] [SID12,m v1 ,ρ v1 ,p va1 ,p vb1 ](V1,0.9496,999.8583,103478.5553,102958.0183],

[0120] [SID13, m v2 ,ρ v2 ,p va2 ,p vb2 ](V2,0.9496,999.8583,102645.9220,102209.7500],

[0121] [SID14, m v3 ,ρ v3 ,p va3 ,p vb3 ](V3,0.3878,999.8583,101758.5346,101671.7083],

[0122] [SID15,m v4 ,ρ v4 ,p va4 ,p vb4]=[V4, 0.5618, 999.8583, 102272.5787, 101831.5580],

[0123] [SID16,m v5 ,ρ v5 ,p va5 ,p vb5 ]=[V5, 0.9496, 999.8583, 100527.1173, 100312.0957],

[0124] Calculate the voltage drop value of the series part and the parallel part;

[0125]

[0126] Calculate the pressure drop value ΔP of the pipe network a ;

[0127]

[0128] ΔP a =p a1 -p b1 =3666.7125Pa

[0129] Calculate the normal error range value of the pipe network;

[0130] Specifically, the main types of valve failures in the pipeline network include mechanical failures (valve sticking, valve core deviation, spring failure), sealing failures (valve leakage, valve leakage), control and execution failures (slow valve response, no action, malfunction), etc. According to the impact of valve failure on the local resistance coefficient of the valve, these failures can be divided into three categories: failure causes the local resistance coefficient of the valve to increase, failure causes the local resistance coefficient of the valve to decrease, and leakage.

[0131] The impact of the increase in the local resistance coefficient of the valve caused by the valve failure is: the flow capacity of the valve decreases and the pressure loss of the pipeline network increases. The simulation method is: reduce the opening of a specific valve by 8% to simulate the failure of the valve. The main types of failure are:

[0132] (1) Mechanical failure: such as valve sticking, valve core deviation (causing the valve opening to decrease);

[0133] (2) Control and execution failures: such as slow valve response (unable to fully open).

[0134] The impact of the reduction of the local resistance coefficient of the valve caused by the failure of the valve is: the flow capacity of the valve increases and the pressure loss of the pipeline network decreases. The simulation method is: increase the opening of a specific valve by 8% to simulate the failure of the valve. The main types of failure are:

[0135] (1) Mechanical failure: Valve core deviation (causing the valve opening to increase);

[0136] (2) Sealing failure: internal leakage of valve;

[0137] (3) Control and execution failure: malfunction (the valve is over-opened, exceeding the expected opening).

[0138] The leakage fault simulation method is as follows: a branch is added after a specific valve a, and the valve in the branch is opened by 8% to simulate the leakage of valve a.

[0139] During the experiment, the valve opening was changed to simulate the above three types of valve failures, and the calculated pressure drop ΔP under the failure state was a and actual pressure drop ΔP' a Divide the absolute value of the pressure drop difference f by the pressure drop difference f to calculate the pressure drop ΔP a The value is the ratio h, that is: The normal error range of the valves in the sub-pipeline network 3 at their normally open opening (i.e., the opening of each valve at time T) is as follows:

[0140] Table 2 Normal error range of the pipe network

[0141]

[0142]

[0143] Sorting these values ​​from small to large, we have 10.31% < 10.37% < 10.41% < 10.44% < 10.51% < 10.61% = 10.61% < 11.58% < 12.50% = 12.50% < 12.73% < 12.96% < 12.99% < 13.61% < 15.83%, therefore, m% = 10.31%, n% = 15.83%.

[0144] The calculated pressure drop value ΔP a The actual pressure drop value ΔP' a Make a difference and get the pressure drop difference f;

[0145] f=ΔP a -ΔP' a =-541.5734Pa

[0146] Calculate the pressure drop ΔP by dividing the absolute value of the pressure drop difference f by a The value is the ratio h, that is:

[0147] Compare the ratio h at time T with the normal error value at time T: 10.31%≤h=14.77%<15.83%, then there may be an abnormal valve in the pipe network, output "fault" and alarm, and output the pipe network ID sub-pipe network 3 and the calculated pressure drop value 3666.7125Pa at the same time, then according to the series and parallel relationship of sub-pipe network 3, the sub-pipe network 3 is divided into smaller sub-pipe networks m1 to sub-pipe network m3. In sub-pipe network m1, the mass flow and pressure of measuring point a are known, and the mass flow and outlet pressure of valve 2 are known, so the outlet point of valve 2 is used as the outlet measuring point b of sub-pipe network m1. Similarly, the entry point a of sub-pipe network m2 is the outlet point of valve 2, and the outlet point b of sub-pipe network m2 is the entry point of valve 5; the entry point a of sub-pipe network m3 is the entry point of valve 5, and the outlet point b of sub-pipe network m3 is the pipe network measuring point b.

[0148] Repeat the above steps from sub-network m1 to sub-network m3, and we can get:

[0149] Sub-network m1:

[0150]

[0151] Sub-pipeline network m2:

[0152]

[0153] Sub-pipeline network m3:

[0154]

[0155] Therefore, the sub-pipeline network where the abnormality occurs is located as sub-pipeline network m1, and then the above steps are repeated for valves 1 and 2 in sub-pipeline network 1, and the following is obtained:

[0156] Valve 1:

[0157]

[0158] Valve 2:

[0159]

[0160] Therefore, the abnormality of valve 2 is finally accurately located, the output abnormality ID is V2, and the evaluation is completed.

[0161] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or substitutions within the technical scope disclosed by the present invention, and these modifications or substitutions should be included in the protection scope of the present invention.

Claims

1. A valve pipe network system status assessment method, characterized in that: Including the following steps: S10. Obtain the actual pressure drop value ΔP' at the fluid inflow point and fluid outflow point at a certain moment on the pipeline network to be evaluated a :Get the actual pressure value p' of the fluid inflow point at a certain moment in the pipe network to be evaluated a1 and the actual pressure value p' at the fluid outflow point b1 , the actual pressure drop value ΔP' a =p' a1 -p' b1 ; S20. Obtain the pipe segment attribute information and valve attribute information of the valve network on the pipe network to be evaluated, collect the operation status information of the valve network in real time, and store the pipe segment attribute information, the valve attribute information, the operation status information and the actual pressure drop value ΔP' a stored in a database; S30. According to the pipeline network topology structure to be evaluated, establish a valve network pressure drop model by using the Bernoulli equation and the impedance equation; S40. The valve network pressure drop model calls the pipe segment attribute information, the valve attribute information and the operation status information in the database, and uses the pressure drop model algorithm to calculate the calculated pressure drop value ΔP of the fluid inflow point and the fluid outflow point at the same time a ; S50. Calculate the normal error range value (m% to n%) of the fluid inlet point and the fluid outlet point corresponding to the pipeline network to be evaluated at the same moment as that moment. The normal error range value (m% to n%) is obtained through the following steps: where f is the calculated pressure drop value ΔP a subtracted from the actual pressure drop value ΔP' a to obtain the pressure drop difference, and h is specifically the ratio obtained by dividing the absolute value of the pressure drop difference f by the calculated pressure drop value ΔP a For a specific pipe network, when simulating that valve A fails in the pipe network, the minimum value of the ratio h is a%, when simulating that valve B fails in the pipe network, the minimum value of the ratio h is b%, when simulating that valve C fails in the pipe network, the minimum value of the ratio h is c%, and when simulating that valve D fails in the pipe network, the minimum value of the ratio h is d%. Assuming a% < b% < c% < d%, then m% = a% and n% = d%; S60. If the ratio h < m%, there is no valve abnormality in the pipeline network, output the pipeline network ID and the calculated pressure drop value, and the evaluation ends; if the ratio m% ≤ h < n%, there may be a valve abnormality in the pipeline network; if the ratio h ≥ n%, there is a valve abnormality in the pipeline network, output a fault, and divide the pipeline network into several sub-pipeline networks according to the series and parallel relationships of each branch. The sub-pipeline networks repeat the steps from S10 to S60 until the possible abnormal or abnormal valve position is located, and then the evaluation ends.

2. The valve pipe network system status assessment method according to claim 1, characterized in that: The pipe section attribute information includes: pipe section ID, friction resistance coefficient, length, diameter, pipe section height, tee ID, ratio of the branch pipe section flow rate to the total flow rate of the tee, local resistance coefficient of the tee from the total flow rate pipe section into the branch pipe section, local resistance coefficient of the tee from the total flow rate pipe section into the straight pipe section, relative height of the tee, elbow ID, local resistance coefficient of the elbow, relative height of the elbow.

3. The valve pipe network system status assessment method according to claim 1, characterized in that: The valve attribute information includes: valve ID, valve opening, local resistance coefficient, valve height.

4. The valve pipe network system status assessment method according to claim 1, characterized in that: The operating state information includes: pipeline network inlet pipe section pressure, pipeline network outlet point pipe section pressure, fluid density, partial fluid mass flow rate of the pipe section, partial fluid mass flow rate of the valve, valve inlet pressure, valve inlet pressure.

5. The valve pipe network system status assessment method according to claim 1, characterized in that: The step S30 specifically includes: using pipeline network intelligent drawing software to draw the pipeline network topology structure to be evaluated, setting the IDs of each valve and each pipe section, and connecting to the database. When drawing an element, number the element, and a corresponding ID table will be automatically generated in the connected database, and import the attribute information and the operating state information of the element.

6. The valve pipe network system status assessment method according to claim 1, characterized in that: When the pipeline network is in a series structure, the pressure drop model operates through the following formula: S c =∑λ i l i b i +∑ζ k +∑ξ j Where: S c is the total resistance of the series pipe section, λ i is the friction coefficient of pipe section i, l i is the length of pipe section i, b i is the reciprocal of the diameter of pipe section i, ξ i is the local resistance coefficient of valve i, ζ k ΔP is the local resistance coefficient of elbows, tees and other components in the pipe network; c Calculate the pressure drop value for the series pipe section, ρ is the fluid density, v i is the fluid velocity of the series pipe section, v vj is the flow rate of valve j, g is the acceleration due to gravity, Δh c It is the height difference between the fluid inflow point and the fluid outflow point of the series part of the pipe network.

7. The valve pipe network system status assessment method according to claim 6, characterized in that: When the pipeline network is in a parallel structure, the pressure drop model operates through the following formula: Where: S b is the total resistance of the parallel pipe section, λ m and λ n are the friction coefficients of pipe segment m in parallel branch 1 and pipe segment n in branch 2, respectively. m and l n For its tube length, b m and b n is the reciprocal of the pipe diameter, ξ x and y They are the equivalent local resistance coefficient values ​​of valve x in parallel branch 1 and valve y in branch 2, respectively. The specific calculation method is that when the opening is less than 100%, the pressure drop at the current valve opening and the flow rate when the valve opening is 100% are used to calculate the local resistance coefficient value; ΔP b Calculate the pressure drop for the parallel pipe sections, v k is the fluid flow rate of the pipe section connected in series with the parallel pipe section, Δh b It is the height difference between the branch point and the convergence point of the parallel part of the pipeline network.

8. The valve pipe network system status assessment method according to claim 7, characterized in that: When the pipeline network is in the structure of a complex industrial pipeline network, the pressure drop model operates through the following formula: ΔP a =p a1 -p b1 Where: ΔP a Calculate pressure drop for complex industrial pipe networks, p b1 and p a1 are the calculated pressure values ​​of the fluid outflow point and fluid inflow point of the pipeline network, respectively, a1 and v b1 are the flow velocities at the fluid inflow point and fluid outflow point, respectively, h a1 and h b1 are the heights of the fluid inflow point and fluid outflow point, respectively.

9. A valve pipe network system, characterized in that: The invention comprises a plurality of pipe networks, each of which is provided with a plurality of pressure sensors and mass flow sensors, and also comprises a signal transmission cable, a data acquisition module, a signal processing module, a central control system and a power supply module. The mass flow sensor and the pressure sensor are respectively connected to the data acquisition module through the signal transmission cable for communication. The pressure sensor is used to collect the pressure value in the pipe network, and the mass flow sensor is used to collect the mass flow value in the pipe network. The signal transmission cable is used to transmit the collected pressure value and the mass flow value to the data acquisition module to obtain a pressure analog signal and a mass flow analog signal, and convert the pressure analog signal and the mass flow analog signal into a processable pressure digital signal and a mass flow digital signal. The signal processing module is used to condition and amplify the pressure digital signal and the mass flow digital signal. The signal processing module is electrically connected to the central control system, and the central control system is used to store and manage the processed The pressure digital signal and the mass flow digital signal, the power module is used to provide a stable power supply for the whole system; the pressure sensor includes a plurality of first pressure sensors, a second pressure sensor and a third pressure sensor, the mass flow sensor includes a plurality of first mass flow sensors and a second mass flow sensor, each of the fluid inflow points of the pipe network is respectively provided with the first pressure sensor and the first mass flow sensor, the first pressure sensor and the first mass flow sensor are respectively used to collect the pressure value and the mass flow value of the fluid inflow point of the pipe network, each of the fluid outflow points of the pipe network is respectively provided with the second pressure sensor and the second mass flow sensor, the second pressure sensor and the second mass flow sensor are respectively used to collect the pressure value and the mass flow value of the fluid inflow and outflow points of the pipe network; each of the pipe networks includes a plurality of Internet valves, each of the Internet valves is provided with a third pressure sensor, and the third pressure sensor is used to collect the pressure value of the corresponding Internet valve.

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