A steam ejector pump parameter transmission system and method based on the Internet of Things

Abstract

The present invention discloses a steam ejector pump parameter transmission system and method based on the Internet of Things, which relates to the technical field of data transmission. The system includes a parameter data transmission module, a database module, a parameter data analysis module and an intelligent adjustment module of the steam ejector pump; the output end of the parameter data transmission module of the steam ejector pump is connected to the database module; the output end of the parameter data transmission module of the steam ejector pump is connected to the input end of the parameter data analysis module; the output end of the parameter data analysis module is connected to the input end of the intelligent adjustment module. In the present invention, the Internet of Things is used to realize data collection, and the big data technology is combined to realize data analysis under structural parameter transformation, to check the main causes of performance changes, and when abnormal indicators appear in performance changes, intelligent sorting is realized to reduce node congestion.

Description

Technical Field

[0001] The present invention relates to the technical field of data transmission, and in particular to a steam ejector pump parameter transmission system and method based on the Internet of Things. Background Art

[0002] The steam ejector pump is a pump that uses the jet effect of high-pressure working fluid to transport fluid. It is generally composed of a nozzle, a mixing chamber, and an expansion tube. During operation, the working fluid is ejected from the nozzle at a very high speed, forming a low pressure in the vacuum chamber, so that the transported liquid is sucked into the vacuum chamber and then enters the mixing chamber. In the mixing chamber, the high-energy working fluid and the low-energy transported liquid are fully mixed, so that the energy is exchanged with each other, and the speed gradually becomes consistent. Entering the diffusion chamber from the throat, the speed slows down, and the static pressure rises, achieving the purpose of transporting steam.

[0003] In the current digital industry, steam ejector pumps are generally connected to digital management systems to monitor and analyze various parameters of steam ejector pumps. However, the current monitoring and analysis mainly has the following defects:

[0004] Lack of intelligent judgment on performance changes. When the structural parameters of traditional steam ejector pumps are changed, the default performance will change. However, the specific trend and direction of the change often rely on experienced manual judgment and lack accurate digital analysis.

[0005] After performance changes, there is no emphasis on timely adjustment of operating parameter monitoring, and there is a lack of processing and analysis of operating parameters based on performance changes. Summary of the invention

[0006] The object of the present invention is to provide a steam ejector pump parameter transmission system and method based on the Internet of Things to solve the problems raised in the prior art.

[0007] To achieve the above object, the present invention provides the following technical solution: a method for transmitting parameters of a steam ejector pump based on the Internet of Things, the method comprising the following steps:

[0008] S1. Constructing a parameter data transmission system for a steam ejector pump, wherein the parameter data includes structural parameters and operating parameters;

[0009] S2. The parameter data transmission system of the steam ejector pump is connected to a historical big database, and the historical big database stores the operating parameter data of the steam ejector pump under different structural parameters;

[0010] S3. Build a parameter data analysis model of the steam ejector pump based on the data of the historical big database to form a performance change analysis under different structural parameters;

[0011] S4. Build a data transmission channel based on performance change analysis, set the transmission priority of operating parameters, intelligently adjust data nodes, and feedback to the administrator port.

[0012] According to the above technical solution, the structural parameters include: the diameter of the steam ejector working fluid inlet, the length of the convergent section of the steam ejector mixing chamber, the length of the steam ejector mixing chamber with equal cross-sectional area, the diameter of the steam ejector mixing chamber with equal cross-sectional area, and the length of the steam ejector diffusion chamber;

[0013] The operating parameters include: the mass flow rate of the ejection fluid, the mass flow rate of the working fluid, the pressure of the working fluid, the ejection fluid pressure and the ejector back pressure of the steam ejector pump.

[0014] According to the above technical solution, in steps S2-S3, it also includes:

[0015] The operating parameter data of the steam ejector pump under different structural parameters in the historical big database are obtained to form a data group, and the data group is expressed in the form of: , where L refers to the structural parameter data; Refers to performance change data; Refers to the operating parameter data; T represents the current time;

[0016] The performance change data refers to the difference between the initial performance value and the current performance value, and the performance value refers to the injection coefficient of the steam ejector pump;

[0017] The internal reading of any data group is expressed as: ,in, Refers to the i-th item of the structural parameter data, constructing the structural parameter The correlation coefficient with Q is:

[0018]

[0019] in, Represents structural parameters The correlation coefficient with Q; Represents structural parameters The jth data between the initial time and T; Represents structural parameters The average value of all items of data between the initial time and T; Represents structural parameters Performance change data corresponding to the j-th data between the initial time and T; Represents structural parameters The average value of the performance change data corresponding to all item data between the initial time and T;

[0020] Based on the correlation coefficients formed between each structural parameter and Q, the partial correlation coefficients between a single structural parameter and Q in the context of other different structural parameters were calculated:

[0021]

[0022] in, represents the partial correlation coefficient between a certain structural parameter m and Q under the background c; c represents a set of structural parameters, which refers to the composition of other structural parameters except m;

[0023] Based on each data set, the partial correlation coefficient between any structural parameter and Q in the context of other different structural parameters is formed respectively under the current data set;

[0024] Solve for all data groups, write the same structural parameters into the same group, and calculate the average value within the group as the partial correlation coefficient between the structural parameter corresponding to the group and Q.

[0025] According to the above technical solution, it also includes:

[0026] Based on the partial correlation coefficients of all structural parameters, the influence weight of structural parameters on performance changes is formed in the form of equal proportion, and there is a structural parameter The impact weight of performance change is recorded as ;

[0027] If there are structural parameters Changes occur, calculate whether the performance change ratio exceeds the structural parameters The impact weight, the performance change change ratio value calculation includes:

[0028]

[0029] in, Refers to the performance value after the change; Refers to the performance value before the change; Represents the proportional value of performance change;

[0030] If there is a performance change, the change ratio exceeds the structural parameters , then build a data transmission channel;

[0031] If there are structural parameters No change occurs, but performance change values ​​appear, and a data transmission channel is established.

[0032] According to the above technical solution, the construction of the data transmission channel includes:

[0033] Another way to read any data group is as follows: ;in, Refers to the i-th item of the operating parameter; when calculating performance changes, The proportional change value, The proportional change value calculation includes:

[0034]

[0035] in, Refers to the changed operating parameter value; Refers to the operating parameter value before the change; represent The proportional change value of

[0036] The performance change value is used as the horizontal axis, and the corresponding The proportional change value of is used as the ordinate to form several coordinate scatter points, and the curve is fitted to form the performance change value and the corresponding The functional relationship between the proportional change values;

[0037] When building a data transmission channel, obtain the performance change value and calculate the corresponding The operating parameters are sorted in descending order according to the proportional change value to form a sequence table;

[0038] The call processor receives the data on the parameter node and feeds it back to the administrator port in the order of the sequence table.

[0039] A steam ejector pump parameter transmission system based on the Internet of Things, the system comprising a steam ejector pump parameter data transmission module, a database module, a parameter data analysis module and an intelligent adjustment module;

[0040] The parameter data transmission module of the steam ejector pump is used to construct a parameter data transmission system of the steam ejector pump, and the parameter data includes structural parameters and operating parameters; the database module is used to construct a historical big database, and the historical big database is connected to the parameter data transmission system of the steam ejector pump, and the historical big database stores the operating parameter data of the steam ejector pump under different structural parameters; the parameter data analysis module constructs a parameter data analysis big model of the steam ejector pump based on the data of the historical big database, and forms a performance change analysis under different structural parameters; the intelligent adjustment module constructs a data transmission channel based on the performance change analysis, sets the transmission priority of the operating parameters, intelligently adjusts the data node, and feeds back to the administrator port;

[0041] The output end of the parameter data transmission module of the steam ejector pump is connected to the database module; the output end of the parameter data transmission module of the steam ejector pump is connected to the input end of the parameter data analysis module; the output end of the parameter data analysis module is connected to the input end of the intelligent adjustment module.

[0042] According to the above technical solution, in the parameter data transmission module of the steam ejector pump, the structural parameters include: the diameter of the working fluid inlet of the steam ejector pump, the length of the convergent section of the mixing chamber of the steam ejector pump, the length of the mixing chamber of the same cross-sectional area of ​​the steam ejector pump, the diameter of the mixing chamber of the same cross-sectional area of ​​the steam ejector pump, and the length of the diffusion chamber of the steam ejector pump;

[0043] The operating parameters include: the mass flow rate of the ejection fluid, the mass flow rate of the working fluid, the pressure of the working fluid, the ejection fluid pressure and the ejector back pressure of the steam ejector pump.

[0044] According to the above technical solution, the parameter data analysis module includes a model building unit and a performance change analysis unit;

[0045] The model building unit builds a large model for parameter data analysis of the steam ejector pump based on the data of the historical large database; the performance change analysis unit forms a performance change analysis under different structural parameters based on the large model for parameter data analysis of the steam ejector pump;

[0046] The output end of the model building unit is connected to the input end of the performance change analysis unit.

[0047] According to the above technical solution, the intelligent adjustment module includes a data transmission channel construction unit and a feedback unit;

[0048] The data transmission channel construction unit constructs a data transmission channel based on performance change analysis, sets the transmission priority of the operating parameters, and forms a sequence table; the feedback unit is used to intelligently adjust the data node according to the sequence table and feed back to the administrator port;

[0049] The output end of the data transmission channel construction unit is connected to the input end of the feedback unit.

[0050] Compared with the prior art, the beneficial effects of the present invention are as follows: in the present invention, a data system for transmitting parameters of a steam ejector pump is provided, which includes a data collection and analysis processing process for the steam ejector pump, utilizes the Internet of Things to realize data collection, combines big data technology to realize data analysis under structural parameter transformation, investigates the main causes of performance changes, reduces errors, improves diagnosis capabilities, and at the same time, prioritizes various types of operating data, and when abnormal indicators appear in performance changes, realizes intelligent sorting to reduce node congestion. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 The present invention is a flow chart of a method for transmitting parameters of a steam ejector pump based on the Internet of Things. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] Example: Figure 1 As shown, the present invention provides a steam ejector pump parameter transmission method based on the Internet of Things, the method comprising: constructing a parameter data transmission system for the steam ejector pump, the parameter data comprising structural parameters and operating parameters; the structural parameters comprising: the diameter of the steam ejector pump working fluid inlet, the length of the convergent section of the steam ejector pump mixing chamber, the length of the steam ejector pump mixing chamber with equal cross-sectional area, the diameter of the steam ejector pump mixing chamber with equal cross-sectional area, and the length of the steam ejector pump diffusion chamber;

[0054] The operating parameters include: the mass flow rate of the ejection fluid, the mass flow rate of the working fluid, the pressure of the working fluid, the ejection fluid pressure and the ejector back pressure of the steam ejector pump.

[0055] The parameter data transmission system of the steam ejector pump is connected to a historical big database, and the historical big database stores the operating parameter data of the steam ejector pump under different structural parameters; a parameter data analysis big model of the steam ejector pump is constructed based on the data of the historical big database to form a performance change analysis under different structural parameters;

[0056] The operating parameter data of the steam ejector pump under different structural parameters in the historical big database are obtained to form a data group, and the data group is expressed in the form of: , where L refers to the structural parameter data; Refers to performance change data; Refers to the operating parameter data; T represents the current time;

[0057] The performance change data refers to the difference between the initial performance value and the current performance value, and the performance value refers to the injection coefficient of the steam ejector pump;

[0058] The internal reading of any data group is expressed as: ,in, Refers to the i-th item of the structural parameter data, constructing the structural parameter The correlation coefficient with Q is:

[0059]

[0060] in, Represents structural parameters The correlation coefficient with Q; Represents structural parameters The jth data between the initial time and T; Represents structural parameters The average value of all items of data between the initial time and T; Represents structural parameters Performance change data corresponding to the j-th data between the initial time and T; Represents structural parameters The average value of the performance change data corresponding to all item data between the initial time and T;

[0061] Based on the correlation coefficients formed between each structural parameter and Q, the partial correlation coefficients between a single structural parameter and Q in the context of other different structural parameters were calculated:

[0062]

[0063] in, represents the partial correlation coefficient between a certain structural parameter m and Q under the background c; c represents a set of structural parameters, which refers to the composition of other structural parameters except m;

[0064] Based on each data set, the partial correlation coefficient between any structural parameter and Q in the context of other different structural parameters is formed respectively under the current data set;

[0065] Solve for all data groups, write the same structural parameters into the same group, and calculate the average value within the group as the partial correlation coefficient between the structural parameter corresponding to the group and Q.

[0066] Based on the partial correlation coefficients of all structural parameters, the influence weight of structural parameters on performance changes is formed in the form of equal proportion, and there is a structural parameter The impact weight of performance change is recorded as ;

[0067] If there are structural parameters Changes occur, calculate whether the performance change ratio exceeds the structural parameters The impact weight, the performance change change ratio value calculation includes:

[0068]

[0069] in, Refers to the performance value after the change; Refers to the performance value before the change; Represents the proportional value of performance change;

[0070] If there is a performance change, the change ratio exceeds the structural parameters , then build a data transmission channel;

[0071] If there are structural parameters No change occurs, but performance change values ​​appear, and a data transmission channel is established.

[0072] The constructing of the data transmission channel comprises:

[0073] Another way to read any data group is as follows: ;in, Refers to the i-th item of the operating parameter; when calculating performance changes, The proportional change value, The proportional change value calculation includes:

[0074]

[0075] in, Refers to the changed operating parameter value; Refers to the operating parameter value before the change; represent The proportional change value of

[0076] The performance change value is used as the horizontal axis, and the corresponding The proportional change value of is used as the ordinate to form several coordinate scatter points, and the curve is fitted to form the performance change value and the corresponding The functional relationship between the proportional change values;

[0077] When building a data transmission channel, obtain the performance change value and calculate the corresponding The operating parameters are sorted in descending order according to the proportional change value to form a sequence table;

[0078] The call processor receives the data on the parameter node and feeds it back to the administrator port in the order of the sequence table.

[0079] In this embodiment, specifically, an Internet of Things data device for collecting field data collects field data, feeds it back to a parameter node, and connects to a CAN bus; a single-chip microcomputer processor controls a CAN bus driver to drive the collected data to be uploaded to a communication switchboard in real time through the single-chip microcomputer processor; real-time communication between the communication switchboard and the processor is established, and the processor reads a sequence table, processes the data fed back by the communication total, and feeds it back for a second time.

[0080] In the present application, a steam ejector pump parameter transmission system based on the Internet of Things is also provided, the system comprising a steam ejector pump parameter data transmission module, a database module, a parameter data analysis module and an intelligent adjustment module;

[0081] The parameter data transmission module of the steam ejector pump is used to construct a parameter data transmission system of the steam ejector pump, and the parameter data includes structural parameters and operating parameters; the database module is used to construct a historical big database, and the historical big database is connected to the parameter data transmission system of the steam ejector pump, and the historical big database stores the operating parameter data of the steam ejector pump under different structural parameters; the parameter data analysis module constructs a parameter data analysis big model of the steam ejector pump based on the data of the historical big database, and forms a performance change analysis under different structural parameters; the intelligent adjustment module constructs a data transmission channel based on the performance change analysis, sets the transmission priority of the operating parameters, intelligently adjusts the data node, and feeds back to the administrator port;

[0082] The output end of the parameter data transmission module of the steam ejector pump is connected to the database module; the output end of the parameter data transmission module of the steam ejector pump is connected to the input end of the parameter data analysis module; the output end of the parameter data analysis module is connected to the input end of the intelligent adjustment module.

[0083] In the parameter data transmission module of the steam ejector pump, the structural parameters include: the diameter of the steam ejector pump working fluid inlet, the length of the convergent section of the steam ejector pump mixing chamber, the length of the steam ejector pump mixing chamber with equal cross-sectional area, the diameter of the steam ejector pump mixing chamber with equal cross-sectional area, and the length of the steam ejector pump diffusion chamber;

[0084] The operating parameters include: the mass flow rate of the ejection fluid, the mass flow rate of the working fluid, the pressure of the working fluid, the ejection fluid pressure and the ejector back pressure of the steam ejector pump.

[0085] The parameter data analysis module includes a model building unit and a performance change analysis unit;

[0086] The model building unit builds a large model for parameter data analysis of the steam ejector pump based on the data of the historical large database; the performance change analysis unit forms a performance change analysis under different structural parameters based on the large model for parameter data analysis of the steam ejector pump;

[0087] The output end of the model building unit is connected to the input end of the performance change analysis unit.

[0088] The intelligent adjustment module includes a data transmission channel construction unit and a feedback unit;

[0089] The data transmission channel construction unit constructs a data transmission channel based on performance change analysis, sets the transmission priority of the operating parameters, and forms a sequence table; the feedback unit is used to intelligently adjust the data node according to the sequence table and feed back to the administrator port;

[0090] The output end of the data transmission channel construction unit is connected to the input end of the feedback unit.

[0091] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A method for transmitting parameters of a steam ejector pump based on the Internet of Things, characterized in that: The method comprises the following steps: S1. Constructing a parameter data transmission system for a steam ejector pump, wherein the parameter data includes structural parameters and operating parameters; S2. The parameter data transmission system of the steam ejector pump is connected to a historical big database, and the historical big database stores the operating parameter data of the steam ejector pump under different structural parameters; S3. Build a parameter data analysis model of the steam ejector pump based on the data of the historical big database to form a performance change analysis under different structural parameters; S4. Build a data transmission channel based on performance change analysis, set the transmission priority of operating parameters, intelligently adjust data nodes, and feedback to the administrator port; The structural parameters include: the diameter of the steam ejector pump working fluid inlet, the length of the convergent section of the steam ejector pump mixing chamber, the length of the steam ejector pump mixing chamber with equal cross-sectional area, the diameter of the steam ejector pump mixing chamber with equal cross-sectional area, and the length of the steam ejector pump diffusion chamber; The operating parameters include: ejector fluid mass flow rate, working fluid mass flow rate, working fluid pressure, ejector fluid pressure and ejector back pressure of the steam ejector pump; In steps S2-S3, it also includes: The operating parameter data of the steam ejector pump under different structural parameters in the historical big database are obtained to form a data group, and the data group is expressed in the form of: , where L refers to the structural parameter data; Refers to performance change data; Refers to the operating parameter data; T represents the current time; The performance change data refers to the difference between the initial performance value and the current performance value, and the performance value refers to the injection coefficient of the steam ejector pump; The internal reading of any data group is expressed as: ,in, Refers to the i-th item of the structural parameter data, constructing the structural parameter The correlation coefficient with Q is: ， in, Represents structural parameters The correlation coefficient with Q; Represents structural parameters The jth data between the initial time and T; Represents structural parameters The average value of all items of data between the initial time and T; Represents structural parameters Performance change data corresponding to the j-th data between the initial time and T; Represents structural parameters The average value of the performance change data corresponding to all item data between the initial time and T; Based on the correlation coefficients formed between each structural parameter and Q, the partial correlation coefficients between a single structural parameter and Q in the context of other different structural parameters were calculated: ， in, represents the partial correlation coefficient between a certain structural parameter m and Q under the background c; c represents a set of structural parameters, which refers to the composition of other structural parameters except m; Based on each data set, the partial correlation coefficient between any structural parameter and Q in the context of other different structural parameters is formed respectively under the current data set; Solve for all data groups, write the same structural parameters into the same group, and calculate the average value within the group as the partial correlation coefficient between the structural parameter corresponding to the group and Q; Also includes: Based on the partial correlation coefficients of all structural parameters, the influence weight of structural parameters on performance changes is formed in the form of equal proportion, and there is a structural parameter The impact weight of performance change is recorded as ; If there are structural parameters Changes occur, calculate whether the performance change ratio exceeds the structural parameters The impact weight, the performance change change ratio value calculation includes: ， in, Refers to the performance value after the change; Refers to the performance value before the change; Represents the proportional value of performance change; If there is a performance change, the change ratio exceeds the structural parameters , then build a data transmission channel; If there are structural parameters No change occurs, but performance change value appears, and a data transmission channel is established; The constructing of the data transmission channel comprises: Another way to read any data group is as follows: ;in, Refers to the i-th item of the operating parameter; when calculating performance changes, The proportional change value, The proportional change value calculation includes: ， in, Refers to the changed operating parameter value; Refers to the operating parameter value before the change; represent The proportional change value of The performance change value is used as the horizontal axis, and the corresponding The proportional change value of is used as the ordinate to form several coordinate scatter points, and the curve is fitted to form the performance change value and the corresponding The functional relationship between the proportional change values; When building a data transmission channel, obtain the performance change value and calculate the corresponding The operating parameters are sorted in descending order according to the proportional change value to form a sequence table; The call processor receives the data on the parameter node and feeds it back to the administrator port in the order of the sequence table.

2. A steam ejector pump parameter transmission system based on the Internet of Things, using the steam ejector pump parameter transmission method based on the Internet of Things as claimed in claim 1, characterized in that: The system includes a steam ejector pump parameter data transmission module, a database module, a parameter data analysis module and an intelligent adjustment module; The parameter data transmission module of the steam ejector pump is used to construct a parameter data transmission system of the steam ejector pump, and the parameter data includes structural parameters and operating parameters; the database module is used to construct a historical big database, and the historical big database is connected to the parameter data transmission system of the steam ejector pump, and the historical big database stores the operating parameter data of the steam ejector pump under different structural parameters; the parameter data analysis module constructs a parameter data analysis big model of the steam ejector pump based on the data of the historical big database, and forms a performance change analysis under different structural parameters; the intelligent adjustment module constructs a data transmission channel based on the performance change analysis, sets the transmission priority of the operating parameters, intelligently adjusts the data node, and feeds back to the administrator port; The output end of the parameter data transmission module of the steam ejector pump is connected to the database module; the output end of the parameter data transmission module of the steam ejector pump is connected to the input end of the parameter data analysis module; the output end of the parameter data analysis module is connected to the input end of the intelligent adjustment module.

3. According to the Internet of Things-based steam ejector pump parameter transmission system of claim 2, it is characterized in that: In the parameter data transmission module of the steam ejector pump, the structural parameters include: the diameter of the steam ejector pump working fluid inlet, the length of the convergent section of the steam ejector pump mixing chamber, the length of the steam ejector pump mixing chamber with equal cross-sectional area, the diameter of the steam ejector pump mixing chamber with equal cross-sectional area, and the length of the steam ejector pump diffusion chamber; The operating parameters include: the mass flow rate of the ejection fluid, the mass flow rate of the working fluid, the pressure of the working fluid, the ejection fluid pressure and the ejector back pressure of the steam ejector pump.

4. According to the Internet of Things-based steam ejector pump parameter transmission system of claim 2, it is characterized in that: The parameter data analysis module includes a model building unit and a performance change analysis unit; The model building unit builds a large model for parameter data analysis of the steam ejector pump based on the data of the historical large database; the performance change analysis unit forms a performance change analysis under different structural parameters based on the large model for parameter data analysis of the steam ejector pump; The output end of the model building unit is connected to the input end of the performance change analysis unit.

5. The steam ejector pump parameter transmission system based on the Internet of Things according to claim 2 is characterized in that: The intelligent adjustment module includes a data transmission channel construction unit and a feedback unit; The data transmission channel construction unit constructs a data transmission channel based on performance change analysis, sets the transmission priority of the operating parameters, and forms a sequence table; the feedback unit is used to intelligently adjust the data node according to the sequence table and feed back to the administrator port; The output end of the data transmission channel construction unit is connected to the input end of the feedback unit.

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