Remote Technical Service System for Coal Gasification Plant

Abstract

The present invention relates to a remote technical service system for a coal gasification device. By constructing a remote technical service platform connecting users of the coal gasification device and adding a data acquisition module, a coal gasification device performance evaluation module, a coal gasification device process diagnosis module, an expert diagnosis module, and a three-dimensional monitoring module, based on the data of the coal gasification device collected by the data acquisition module, the performance evaluation, process diagnosis, and three-dimensional monitoring of the coal gasification device are remotely realized respectively, and corresponding remote diagnosis solutions are provided to the remote diagnosis requester, thereby realizing remote technical services for the coal gasification device at the remote end, improving the technical service efficiency, and ensuring the normal operation, maintenance, and operation of the coal gasification device.

Description

Technical Field

[0001] The present invention relates to the field of coal gasification devices, and in particular, to a remote technical service system for coal gasification devices. Background Art

[0002] With the booming development of modern coal chemical industry, as an important equipment in coal chemical industry, the long-term operation and safety of various coal gasification devices have been greatly improved. However, due to the complexity of coal quality, the relatively short project establishment, design and production cycle of coal chemical projects, and the harsh coal gasification reaction conditions, there are problems in the design, operation and research of coal gasification devices, such as the difficulty in achieving the design value of long-term stable operation, the relatively high energy consumption of device operation, and the lack of means to accurately diagnose problems of coal gasification devices. In addition, the current main method for evaluating coal gasification devices is to evaluate coal gasification devices using technical indicators and parameters such as specific oxygen consumption and specific coal consumption. However, this method does not consider factors such as device load, operation rate, and cost, and is greatly affected by coal quality, process and target products, making it difficult to conduct long-term operation performance evaluation and benchmarking management of coal gasification devices. Moreover, in the process of technical services for coal gasification devices, even if different coal gasification enterprises have data or experience in solving device failure problems, due to the inability to achieve information sharing among enterprises, these data are limited to their own enterprises, resulting in the phenomenon of "information island", making it difficult to provide targeted technical services for coal gasification devices during operation, thus reducing the technical service efficiency for coal gasification devices. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a remote technical service system for coal gasification devices in view of the above-mentioned prior art.

[0004] The technical solution adopted by the present invention to solve the above technical problem is as follows: A remote technical service system for coal gasification devices, characterized by comprising:

[0005] A remote technical service platform with a user interface, and the user interface includes a data input interface and a data output interface;

[0006] A data acquisition module for acquiring the operation data of the coal gasification device;

[0007] A coal gasification device performance evaluation module, connected to the data acquisition module and the remote technical service platform, and realizing multi-dimensional performance evaluation of the coal gasification device based on the processing of the operation data of the coal gasification device acquired by the data acquisition module;

[0008] A coal gasification device process diagnosis module, respectively connected to the data acquisition module and the remote technical service platform, and making a process diagnosis on the coal gasification device;

[0009] The expert diagnosis module is connected to the remote technical service platform. According to the remote diagnosis request information of the gasification device fault of the requester, it forms a remote diagnosis solution that matches the remote diagnosis request information of the gasification device fault, and provides the remote diagnosis solution to the requester through the remote technical service platform.

[0010] And, the three-dimensional monitoring module is respectively connected to the data acquisition module and the remote technical service platform. The three-dimensional monitoring module performs real-time three-dimensional monitoring on the operation of the gasification device, and provides the real-time three-dimensional monitoring situation to the remote technical service platform.

[0011] Improved, in the remote technical service system of the gasification device, the user interface includes an enterprise navigation control, a platform home page control, an enterprise home page control, a three-dimensional monitoring control, a monitoring management control, a comprehensive report control, a process diagnosis control, an equipment analysis control, a professional applet control, an expert diagnosis control, and a technical communication control.

[0012] Further, in the remote technical service system of the gasification device, the enterprise navigation information corresponding to the enterprise navigation control includes a gasification device distribution map, gasification device enterprise introduction information, and a gasification device parameter list.

[0013] Improved, in the remote technical service system of the gasification device, the platform home page information corresponding to the platform home page control includes a preset index set corresponding to the gasification device.

[0014] Improved again, in the remote technical service system of the gasification device, the monitoring management information corresponding to the monitoring management control includes gasification device overall appearance display information, gasification device operation monitoring information, and gasification process management information.

[0015] Improved, in the remote technical service system of the gasification device, the gasification device operation data includes process parameters obtained from the real-time database, key material analysis data obtained from the LIMS system, price data obtained from the ERP system, energy consumption data obtained from the energy management system, device alarm information obtained from the alarm system, and index data obtained from the production management system.

[0016] Compared with the prior art, the advantages of the present invention are as follows: The remote technical service system of the coal gasification device of the present invention constructs a remote technical service platform connecting users of the coal gasification device, and additionally provides a data acquisition module, a performance evaluation module for the coal gasification device, a process diagnosis module for the coal gasification device, an expert diagnosis module, and a three-dimensional monitoring module. Based on the data of the remote coal gasification device collected by the data acquisition module, the performance evaluation, process diagnosis, and three-dimensional monitoring of the coal gasification device are respectively realized remotely, and corresponding remote diagnosis solutions are provided to the requester who requests remote diagnosis, thereby realizing remote technical services for the coal gasification device at the remote end, improving the technical service efficiency, ensuring the normal operation and maintenance of the coal gasification device, and guiding the optimization of the coal gasification device. Brief Description of the Drawings

[0017] Figure 1 It is a schematic diagram of the remote technical service system of the coal gasification device in the embodiment of the present invention. Detailed Embodiment

[0018] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0019] This embodiment provides a remote technical service system for a coal gasification device. Specifically, as shown in Figure 1 the remote technical service system of the coal gasification device in this embodiment includes a remote technical service platform 1, a data acquisition module 2, a performance evaluation module 3 for the coal gasification device, a process diagnosis module 4 for the coal gasification device, an expert diagnosis module 5, and a three-dimensional monitoring module 6. The remote technical service platform 1 has a user interface, which includes a data input interface and a data output interface; the data input interface is for the user to input common information such as the required retrieval information, questions, or keywords, etc.; the data output interface inputs the relevant information about the coal gasification device required by the user;

[0020] The data acquisition module 2 acquires the operation data of the coal gasification plant; the performance evaluation module 3 of the coal gasification plant is respectively connected to the data acquisition module 2 and the remote technical service platform 1, and based on the processing of the operation data of the coal gasification plant acquired by the data acquisition module, multi-dimensional performance evaluation of the coal gasification plant is realized; the process diagnosis module 4 of the coal gasification plant is respectively connected to the data acquisition module 2 and the remote technical service platform 1 to perform process diagnosis on the coal gasification plant; the expert diagnosis module 5 is connected to the remote technical service platform 1, and according to the remote diagnosis request information of the coal gasification plant failure of the requester, a remote diagnosis solution matching the remote diagnosis request information of the coal gasification plant failure is formed, and the remote diagnosis solution is provided to the requester through the remote technical service platform; the three-dimensional monitoring module 6 is respectively connected to the data acquisition module 2 and the remote technical service platform 1. The three-dimensional monitoring module 6 performs real-time three-dimensional monitoring on the operation of the coal gasification plant and provides the real-time three-dimensional monitoring situation to the remote technical service platform 1. The operation data of the coal gasification plant includes process parameters obtained from the real-time database, key material analysis data obtained from the LIMS system, price data obtained from the ERP system, energy consumption data obtained from the energy management system, device alarm information obtained from the alarm system, and index data obtained from the production management system.

[0021] In this embodiment, the user interface includes an enterprise navigation control, a platform home page control, an enterprise home page control, a three-dimensional monitoring control, a monitoring management control, a comprehensive report control, a process diagnosis control, an equipment analysis control, a professional applet control, an expert diagnosis control, and a technical communication control. Among them:

[0022] The enterprise navigation information corresponding to the enterprise navigation control includes the distribution map of the coal gasification plant, the enterprise introduction information of the coal gasification plant, and the parameter list of the coal gasification plant.

[0023] The platform home page information corresponding to the platform home page control includes the preset index set corresponding to the coal gasification plant.

[0024] The monitoring management information corresponding to the monitoring management control includes the overall appearance display information of the coal gasification plant, the operation monitoring information of the coal gasification plant, and the process management information of the coal gasification process.

[0025] The comprehensive report information corresponding to the comprehensive report control includes report visualization, work reports, and online calibration. Among them:

[0026] Report visualization mainly includes the visualization of year-on-year and month-on-month changes in parameters such as raw material specifications, product output, and utility consumption. The relevant data of each visualization graph can be exported, and the statistical analysis time interval of each parameter can be customized.

[0027] The work report includes sub - functions such as the weekly report on water conservation and emission reduction, the monthly report on water conservation and emission reduction, the monthly report on energy conservation, and the monthly report on quality. All kinds of work reports collect the device production data through the data acquisition interface integrated by the platform, and convert the data into the data required for the report through the underlying energy consumption and data processing functions, so as to realize the intelligence of the report. Each sub - report function of the work report can quickly generate reports to meet the daily report requirements of the enterprise, and all have functions such as new addition, query, online editing, review, approval, preview, etc., and can download and query historical report records.

[0028] Online calibration is to develop a data acquisition interface, and the platform automatically collects the actual operation data of the device from the real - time database, LIMS database, etc. After the collected data is pre - processed such as data rectification and data regression, it is sent to the background calibration model (Aspen Plus model, EXCEL model) for relevant calculations to obtain parameters such as material balance, heat balance, and equipment efficiency, and analyze the factors (or units) with high or low parameters, form the final calibration results and conclusions, and automatically generate a calibration report. The calibration report can be viewed online or downloaded.

[0029] The equipment analysis information corresponding to the equipment analysis control is to analyze, monitor and give early warnings to the operation status of the equipment through the equipment analysis mechanism model, push equipment maintenance opinions, enhance the control ability of on - site management personnel for key equipment, assist in guiding on - site production operations, and record historical fault events and historical operation cycles.

[0030] The professional applet information corresponding to the professional applet control includes three types of applets: equipment calculation, coal property calculation, and others. For example, coal quality basis conversion, crude syngas gas - liquid separator, saturated water vapor pressure and syngas water - gas ratio calculation, ash fusion point calculation, pipeline hydraulics calculation, etc. The input data pages of each applet are customized, and the output results are customized. The unit of the output result can be selected; the calculation results can be displayed on the page or exported and saved separately.

[0031] The technical communication information corresponding to the technical communication control provides a platform for communication and discussion on coal chemical related fields such as coal gasification, conversion, acid removal, and methanation for relevant personnel, so as to solve the problems encountered in production, scientific research, and design in a timely manner. The technical communication module has functions such as prompting the topic publisher of the topic with the latest news by email, full - text retrieval of all topics, high - quality post push, and entry into the corresponding professional database. Specifically in this embodiment, the process of multi - dimensional performance evaluation of the coal gasification device by the coal gasification device performance evaluation module includes the following steps a1 - a7:

[0032] Step a1: Collect the operation data of the coal gasification plant, preprocess the operation data, and establish a standard database. The data in the standard database includes process parameters obtained from the real-time database, key material analysis data obtained from the LIMS system, price data obtained from the ERP system, energy consumption data obtained from the energy management system, device alarm information obtained from the alarm system, and index data obtained from the production management system.

[0033] Step a2: Based on the data in the standard database, calculate the basic index set for the performance evaluation of the coal gasification plant. The basic index set for the performance evaluation includes the production plan execution rate index, the device operation rate index, the pure hydrogen production index, the raw material consumption per unit product index, the comprehensive energy consumption per unit product index, the number of unplanned shutdowns, and the long-term operation time index. For example, the calculation of the above indexes is as follows:

[0034] Production plan execution rate index = (Actual output of the coal gasification plant - Planned output of the device) / Planned output of the device * 100%.

[0035] Device operation rate index = (Theoretical operation time - Cumulative shutdown time of the device) / Theoretical operation time * 100%.

[0036] Pure hydrogen production = (∑B w ·γ w ), w = 1, 2, 3; where B w is the output of the w-th product of the coal gasification plant per unit time, γ w is the hydrogen production coefficient for the w-th product, the first product is hydrogen, the second product is carbon-based synthesis gas, and the third product is carbon monoxide.

[0037] Raw material consumption per unit product index = (Total coal raw material consumption + Total coke raw material consumption) / Pure hydrogen production.

[0038] Comprehensive energy consumption per unit product index = (∑M i ·R i ) / Q; i = 1, 2, 3, 4; where M i is the physical quantity of the i-th object consumed by the coal gasification plant per unit time, R i is the energy conversion coefficient corresponding to the i-th object, and Q is the pure hydrogen production of hydrogen, carbonyl synthesis gas, and carbon monoxide per unit time; the first object is raw material, the second object is fuel, the third object is utility engineering, and the fourth object is power.

[0039] Step a3: Based on the obtained basic index set for the performance evaluation, calculate the comprehensive index for the performance evaluation of the coal gasification plant by weighted calculation. The comprehensive index for the performance evaluation here is marked as P:

[0040]

[0041] wherein, A j is the actual score corresponding to the j-th target index in the preset target index set A. The indexes in the preset target index set A include six indexes: production plan execution rate, number of unplanned shutdowns, unit operation rate, long-term operation time, comprehensive energy consumption per unit product, and raw material consumption per unit product. ω j is the weight value corresponding to the j-th target index;

[0042] Step a4: Based on the data in the standard database, calculate respectively to obtain the actual value of the comprehensive energy consumption per unit product and the actual value of the raw material consumption per unit product of the coal gasification unit;

[0043] Step a5: According to the obtained index value of the comprehensive energy consumption per unit product and the index value of the raw material consumption per unit product of the coal gasification unit, calculate respectively to obtain the benchmark difference value of the comprehensive energy consumption per unit product and the benchmark difference value of the raw material consumption per unit product of the coal gasification unit; wherein, the benchmark difference value of the comprehensive energy consumption per unit product = the index value of the comprehensive energy consumption per unit product - the actual value of the comprehensive energy consumption per unit product; the benchmark difference value of the raw material consumption per unit product = the index value of the raw material consumption per unit product - the actual value of the raw material consumption per unit product;

[0044] Step a6: Based on the data in the standard database, calculate respectively to obtain the actual pure hydrogen production, raw material consumption, standard oil price, and raw material price data of the coal gasification unit, and then calculate the value quantification index of the coal gasification unit based on the obtained benchmark difference value of the comprehensive energy consumption per unit product and the benchmark difference value of the raw material consumption per unit product; wherein, the value quantification index of the coal gasification unit here is denoted as δ:

[0045]

[0046] wherein, M is the total number of standard oil price fluctuations during the evaluation period, K is the total number of raw material price fluctuations during the evaluation period, N m is the benchmark difference value of the comprehensive energy consumption per unit product corresponding to the m-th standard oil price fluctuation, C m is the cumulative actual pure hydrogen production corresponding to the m-th standard oil price fluctuation, Φ m is the standard oil price corresponding to the m-th standard oil price fluctuation, R k is the benchmark difference value of the raw material consumption per unit product corresponding to the k-th raw material price fluctuation, E k is the cumulative actual pure hydrogen production corresponding to the k-th raw material price fluctuation, is the raw material price corresponding to the k-th raw material price fluctuation;

[0047] Step a7, the gas device performance evaluation management system conducts multi-dimensional performance evaluation on the gasification device based on the basic performance evaluation indicators, comprehensive performance evaluation indicators, and value quantification indicators of the obtained gasification device. Among them, when the value quantification index δ is a positive number, it is evaluated that the performance of the gasification device meets the standard.

[0048] The process of the gasification device process diagnosis module 4 making a process diagnosis on the gasification device includes the following steps b1 to b4:

[0049] Step b1, obtain the operation data set during the operation of the gasification device, and preprocess the operation data in the operation data set to obtain the preprocessed operation data set;

[0050] Step b2, use the operation data in the preprocessed operation data set to pre-construct a gasification device initialization model library for simulating the operation of the gasification device; among them, the gasification device initialization model library includes sub-unit initialization models corresponding to W different sub-units. Different sub-unit initialization models include M feed categories, and each feed category includes N operating condition categories. Each sub-unit initialization model respectively corresponds to the operation situation of a sub-unit in the gasification device. W is the total number of actual sub-operation units included in the gasification device;

[0051] Step b3, set the assessment technical parameters and the corresponding constraints for each assessment technical parameter based on the process diagnosis requirements, and then develop a process diagnosis model library based on the initialization models, assessment technical parameters, and constraints in the gasification device initialization model library;

[0052] Among them, in this embodiment, the models in the process diagnosis model library are diagnosis models with the ability to simulate and analyze the key technical parameters of the gasification device. The key technical parameters are independent variable technical parameters relative to other technical parameters in the gasification device, and other technical parameters in the gasification device are dependent variable technical parameters relative to the key technical parameters;

[0053] Step b4, obtain the actual operation data of the gasification device again, and input the obtained actual operation data into the process diagnosis model library for diagnosis to obtain the gasification device process diagnosis result.

[0054] Specifically, in this embodiment, the construction process of the above gasification device initialization model includes the following steps:

[0055] Step b21: Collect the operation data of the coal gasification device, and perform validity processing on the operation data of the coal gasification device to form a basic database. Among them, the operation data of the coal gasification device includes the real-time database of the coal gasification device and the historical data collected by LIMS. Among them, the validity processing in step b21 includes preprocessing, steady-state detection and data correction. The preprocessing includes invalid data elimination, interpolation fitting filling, filtering and denoising, and data normalization processing.

[0056] In step b21, the invalid data elimination is to eliminate the operation data that meets the large error condition in the collected operation data of the coal gasification device. The operation data that meets the large error condition is the operation data in the collected operation data of the coal gasification device whose fluctuation coefficient value is greater than the preset fluctuation coefficient threshold. Among them, the collected operation data of the coal gasification device is the operation data collected within a preset time interval, and the fluctuation coefficient value of the kth operation data collected within this preset time zone is marked as τ k , and the preset fluctuation coefficient threshold corresponding to this preset time interval is marked as τ th :

[0057]

[0058] a k is the kth operation data value in the operation data of the coal gasification device collected within the preset time interval, and a k-1 is the (k - 1)th operation data value in the operation data of the coal gasification device collected within the preset time interval, and μ a is the average value of all operation data values in the operation data of the coal gasification device collected within the preset time interval; K is the total number of operation data of the coal gasification device collected within the preset time interval;

[0059] Step b22: Based on the data in the basic database, use the clustering algorithm to perform feed clustering and operating condition clustering in sequence to form a sample data set library.

[0060] In step b22, first cluster the parameter data in the feed characteristic parameter set into M feed categories, and then cluster each of the M feed categories into N operating condition categories according to the parameter data in the operating condition characteristic parameter set. Among them, the calculation method of the clustering distance is as follows:

[0061]

[0062] Among them, n, m are the numbers of the feature parameter set Y, and Y n =(x n1 , x n2 ,…, x nJ ), Y m =(x m1 , x m2,…,x mJ ), cosθ nm is the feature parameter set Y n and the feature parameter set Y m The cosine distance between them, x nj is the data of the j-th feature parameter in the feature parameter set Y n Correspondingly, x mj is the data of the j-th feature parameter in the feature parameter set Y m J is the total number of feature parameters in the feature parameter set Y n ; The feature parameter set Y n and the feature parameter set Y m Have the same total number of feature parameters;

[0063] Step b23, based on the data in the formed sample number set library, construct an initialization model of the coal gasification device. Among them, the method of constructing the initialization model of the coal gasification device based on the data in the sample number set library here can adopt the existing technology.

[0064] Specifically, in this embodiment, the steady-state detection in step b21 is heuristic steady-state detection; the process of this steady-state detection includes the following steps S1 to S4:

[0065] Step S1, calculate the light filtering value and the heavy filtering value corresponding to each valid data in the operation data of the coal gasification device collected in step b21; among them, the valid data in the operation data of the coal gasification device collected is the remaining data after removing the invalid data;

[0066] (Y L ) t = f L ·y t +(1 - f L )·(Y L ) t-1 ;

[0067] (Y H ) t = f H ·y t +(1 - f H )·(Y H ) t-1 ;

[0068]

[0069] t1 ≤ t ≤ t Q ;

[0070] Among them, the time period (t1, t Q ) is the collection time period of the operation data of the coal gasification device collected in step b21, (Y L )t is the light filtering value of the valid data corresponding to the t-th moment in the operating data of the coal gasification device collected within the time period (t1, t Q ); (Y H ) t is the heavy filtering value of the valid data corresponding to the t-th moment in the operating data of the coal gasification device collected within the time period (t1, t Q ); (Y L ) t-1 is the light filtering value of the valid data corresponding to the (t - 1)-th moment in the operating data of the coal gasification device collected within the time period (t1, t Q ); (Y H ) t-1 is the heavy filtering value of the valid data corresponding to the (t - 1)-th moment in the operating data of the coal gasification device collected within the time period (t1, t Q ); f L is the light filtering coefficient, f H is the heavy filtering coefficient; y t is the actual value of the valid data corresponding to the t-th moment; Q is the total number of moments corresponding to all valid data in the operating data of the coal gasification device collected within the time period (t1, t Q );

[0071] Step S2: Calculate the absolute value of the difference between the light and heavy filtering values corresponding to each valid data in the collected operating data of the coal gasification device, and obtain the maximum absolute value among all the obtained absolute values; among them, the absolute value of the difference between the light and heavy filtering values of the valid data corresponding to the t-th moment in the collected operating data of the coal gasification device is marked as The maximum absolute value among all the obtained absolute values is marked as

[0072]

[0073] Step S3: Make a parameter steady-state judgment based on the obtained maximum absolute value:

[0074] When the obtained maximum absolute value is less than the preset parameter steady-state tolerance χ, it is determined that the plant value of the valid data corresponding to the moment t is the steady-state value; otherwise, it is determined that the plant value of the valid data corresponding to the moment t is the non-steady-state value;

[0075] It should be noted that in this embodiment, the calculation method of the preset parameter steady-state tolerance χ here is as follows:

[0076]

[0077] Among them, a k is the preset time interval (t1, tQ ) the k-th operating data value in the operating data of the coal gasification plant collected within, where K is the total number of operating data of the coal gasification plant collected within the preset time interval (t1, t Q );

[0078] Step S4, make a steady-state judgment of the device based on the re-filtered value of the valid data corresponding to the last moment and the re-filtered value of the valid data corresponding to the first moment:

[0079] When the absolute value of the difference between the two is less than the preset trend tolerance ε, that is determine that the state of the coal gasification plant corresponding to the valid data within the time period [t1, t Q is in a steady state; otherwise, determine that the state of the coal gasification plant corresponding to the valid data within the time period [t1, t Q is in a non-steady state. In this embodiment, the calculation method of the preset trend tolerance ε here is as follows:

[0080]

[0081] where a k is the k-th operating data value in the operating data of the coal gasification plant collected within the preset time interval (t1, t Q ); K is the total number of operating data of the coal gasification plant collected within the preset time interval (t1, t Q ).

[0082] In addition, the data correction includes the following steps: Based on the original measurement data, use the material balance relationship or energy balance relationship of the coal gasification plant production process to determine the correction condition that minimizes the sum of squares of the deviations between the correction value and its corresponding measurement value, and establish a correction mathematical expression solved based on the least squares method; among them, the correction mathematical expression is as follows:

[0083]

[0084]

[0085] where X is a vector composed of measured variable measurement values, U is a vector composed of unmeasured or to-be-estimated parameters, is a vector composed of corrected values of measured variables, P is the variance-covariance matrix of measurement errors, and F is the constraint equation of the coal gasification plant model; among them, the constraint equation includes material balance equations, energy balance equations, chemical reaction rate equations and chemical equilibrium equations, heat mass and momentum transfer equations; P determines the weight for adjusting each variable, and a higher weight is given to instruments with higher accuracy.

[0086] The process of the expert diagnosis module 5 forming a remote diagnosis solution includes the following steps c1 to c5:

[0087] Step c1, form a professional data database for providing technical information services for the coal gasification device; among them, the professional data database here includes an accident case database, an accident fault handling plan database, a coal chemical industry professional knowledge database, an employee operation training database, and a fault handling plan database;

[0088] Step c2, obtain the retrieval element information of the requester; the retrieval element information can be a retrieval keyword or semantics, or both a retrieval keyword and semantics;

[0089] Step c3, according to the professional data database and the retrieval element information, provide professional data that matches the retrieval element information;

[0090] Step c4, obtain the remote diagnosis request element information of the coal gasification device fault sent by the requester;

[0091] Step c5, according to the remote diagnosis request element information of the coal gasification device fault, form a remote diagnosis solution that matches the remote diagnosis request element information of the coal gasification device fault. For the remote diagnosis solution in step c5, this embodiment provides two forms of methods for the remote diagnosis solution. Specifically:

[0092] The first formation method of the remote diagnosis solution is: extract the request element information in the remote diagnosis request information of the coal gasification device fault; and, use the fault handling plan located in the professional data database and matching the request element information as the remote diagnosis solution.

[0093] The second formation method of the remote diagnosis solution includes the following steps c51 to c57:

[0094] Step c51, automatically establish a set of coal gasification device fault handling plan templates according to the fault type; where the fault type includes at least one of static equipment faults, dynamic equipment faults, instrument faults, pipeline faults, and process faults;

[0095] Step c52, judge the fault type of the coal gasification device according to the remote diagnosis request information of the coal gasification device fault;

[0096] Step c53, make a matching judgment between the fault of the coal gasification device and the professional data database:

[0097] When there is professional data in the professional data database that matches the fault of the coal gasification device, go to step c54; otherwise, go to step c57;

[0098] Step c54: Extract all professional data matching the faults of the coal gasification device, and use all the extracted professional data as the basic data for the diagnostic solution.

[0099] Step c55: Extract the coal gasification device fault handling solution template corresponding to the fault type of the coal gasification device from the set of coal gasification device fault handling solution templates.

[0100] Step c56: Embed the basic data of the diagnostic solution into the extracted coal gasification device fault handling solution template to automatically form a remote diagnostic solution matching the remote diagnostic request information of the coal gasification device fault.

[0101] Step c57: Perform reasoning processing based on the remote diagnostic request information of the coal gasification device fault to obtain the fault cause of the coal gasification device provided to the requester. Of course, based on the fault cause of the coal gasification device, a remote diagnostic solution for solving the fault can also be intelligently generated.

[0102] In addition, the process of the three-dimensional monitoring module 6 in this embodiment for performing real-time three-dimensional monitoring on the operation of the coal gasification device includes the following steps d1 to d5:

[0103] Step d1: Construct a three-dimensional monitoring model of the coal gasification device for the coal gasification device according to the regional distribution map of the coal gasification device; among them, the three-dimensional monitoring model of the coal gasification device includes a regional three-dimensional model of the plant area where the coal gasification device is located and a three-dimensional model of the coal gasification device; the three-dimensional model of the coal gasification device includes multiple sub-unit three-dimensional models, and each sub-unit of the coal gasification device corresponds to a sub-unit three-dimensional model.

[0104] Step d2: Obtain the real-time parameters of the coal gasification device during operation; among them, the real-time parameters here include the real-time process parameters of the coal gasification device.

[0105] Step d3: Determine the corresponding position of the obtained real-time parameters on the regional distribution map of the coal gasification device, and use this corresponding position as the visual display position; for example, the visual display here includes zooming in, zooming out, rotating, and moving operations.

[0106] Step d4: Perform visual display of the obtained real-time parameters at the corresponding visual display position of the three-dimensional monitoring model of the coal gasification device.

[0107] Step d5: Judge whether the obtained real-time parameters are abnormal parameters to obtain an abnormal parameter judgment result; and, perform alarm prompts for the abnormal parameter judgment result and support positioning of the abnormal alarm position of the parameters.

[0108] Although the preferred embodiments of the present invention have been described in detail above, it should be clearly understood that various changes and modifications can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. Remote technical service system for coal gasification plant, characterized in that, Including: A remote technical service platform (1) with a user interface, which includes a data input interface and a data output interface; A data acquisition module (2) for acquiring the operation data of the coal gasification device; A coal gasification device performance evaluation module (3), respectively connected to the data acquisition module (2) and the remote technical service platform (1), and realizing multi-dimensional performance evaluation of the coal gasification device based on the processing of the operation data of the coal gasification device acquired by the data acquisition module; A coal gasification device process diagnosis module (4), respectively connected to the data acquisition module (2) and the remote technical service platform (1), for making a process diagnosis of the coal gasification device; An expert diagnosis module (5), connected to the remote technical service platform (1), forming a remote diagnosis solution matching the remote diagnosis request information of the coal gasification device failure according to the remote diagnosis request information of the coal gasification device failure of the requester, and providing the remote diagnosis solution to the requester through the remote technical service platform; And, a three-dimensional monitoring module (6), which is respectively connected to the data acquisition module and the remote technical service platform. The three-dimensional monitoring module performs real-time three-dimensional monitoring on the operation of the coal gasification device and provides the real-time three-dimensional monitoring situation to the remote technical service platform; Among them, the process of the coal gasification device performance evaluation module performing multi-dimensional performance evaluation on the coal gasification device includes the following steps a1 to a7: Step a1, acquiring the operation data of the coal gasification device, preprocessing the operation data, and establishing a standard database; wherein, the data in the standard database includes process parameters obtained from the real-time database, key material analysis data obtained from the LIMS system, price data obtained from the ERP system, energy consumption data obtained from the energy management system, device alarm information obtained from the alarm system, and index data obtained from the production management system; Step a2, calculating based on the data in the standard database to obtain a set of basic performance evaluation indicators for the coal gasification device; wherein, the set of basic performance evaluation indicators includes a production plan execution rate indicator, a device operation rate indicator, a pure hydrogen production volume indicator, a raw material consumption per unit product indicator, a comprehensive energy consumption per unit product indicator, the number of unplanned shutdowns, and a long-term operation time indicator; Production plan execution rate indicator = (actual output of the coal gasification device - planned output of the device) / planned output of the device * 100%; Device operation rate indicator = (theoretical operation time - cumulative shutdown time of the device) / theoretical operation time * 100%; Pure hydrogen production by folding = (∑B w ·γ w ), w = 1, 2, 3; where B w is the output of the w-th product of the coal gasification unit per unit time, and γ w is the pure hydrogen coefficient for the output corresponding to the w-th product. The first product is hydrogen, the second product is carbon-based synthesis gas, and the third product is carbon monoxide; Raw material consumption per unit product indicator = (total consumption of coal raw materials + total consumption of coke raw materials) / pure hydrogen production volume; Comprehensive energy consumption index per unit product = (∑M i ·R i ) / Q; i = 1, 2, 3, 4; where M i is the physical quantity of the i-th object consumed by the coal gasification plant per unit time, R i is the energy conversion coefficient corresponding to the i-th object, and Q is the pure hydrogen output obtained by converting the output of hydrogen, oxo-synthesis gas, and carbon monoxide per unit time; the first object is raw material, the second object is fuel, the third object is utilities, and the fourth object is power; Step a3, calculating with weights based on the obtained set of basic performance evaluation indicators to obtain a comprehensive performance evaluation indicator for the coal gasification device; wherein, the comprehensive performance evaluation indicator is marked as P; Among them, A j is the actual score corresponding to the j-th target index in the preset target index set A. The indexes in the preset target index set A include six indexes: production plan execution rate, number of unplanned stops, unit operation rate, long-term operation time, comprehensive energy consumption per unit product, and raw material consumption per unit product. ω j is the weight value corresponding to the j-th target index; Step a4, respectively calculating based on the data in the standard database data to obtain the actual value of the comprehensive energy consumption per unit product and the actual value of the raw material consumption per unit product of the coal gasification device; Step a5: According to the obtained unit product comprehensive energy consumption index value and unit product raw material consumption index value of the coal gasification device, calculate the unit product comprehensive energy consumption benchmark difference value and the unit product raw material consumption benchmark difference value of the coal gasification device respectively; wherein, the unit product comprehensive energy consumption benchmark difference value = the unit product comprehensive energy consumption index value - the actual unit product comprehensive energy consumption value; the unit product raw material consumption benchmark difference value = the unit product raw material consumption index value - the actual unit product raw material consumption value. Step a6: Based on the data in the standard database, calculate the actual pure hydrogen production, raw material consumption, standard oil price and raw material price data of the coal gasification device respectively, and then calculate the value quantification index of the coal gasification device based on the obtained unit product comprehensive energy consumption benchmark difference value and the unit product raw material consumption benchmark difference value; wherein, the value quantification index of the coal gasification device is denoted as δ: Among them, M is the total number of fluctuations in the standard oil price during the evaluation period, K is the total number of fluctuations in the raw material price during the evaluation period, N m is the benchmark difference in the comprehensive energy consumption per unit product corresponding to the m-th fluctuation in the standard oil price, C m is the cumulative actual pure hydrogen production corresponding to the m-th fluctuation in the standard oil price, Φ m is the standard oil price corresponding to the m-th fluctuation in the standard oil price, R k is the benchmark difference in the raw material consumption per unit product corresponding to the k-th fluctuation in the raw material price, E k is the cumulative actual pure hydrogen production corresponding to the k-th fluctuation in the raw material price, is the raw material price corresponding to the k-th fluctuation in the raw material price; Step a7: The performance evaluation management system of the gas device conducts multi-dimensional performance evaluation on the coal gasification device based on the obtained basic performance evaluation index, comprehensive performance evaluation index and value quantification index of the coal gasification device; when the value quantification index δ is a positive number, it is evaluated that the performance of the coal gasification device meets the standard.

2. The remote technical service system of the coal gasification device according to claim 1, characterized in that The user interface includes an enterprise navigation control, a platform home page control, an enterprise home page control, a three-dimensional monitoring control, a monitoring management control, a comprehensive report control, a process diagnosis control, an equipment analysis control, a professional applet control, an expert diagnosis control and a technical communication control.

3. The remote technical service system for the coal gasification device according to claim 2, characterized in that, The enterprise navigation information corresponding to the enterprise navigation control includes the distribution map of the coal gasification device, the enterprise introduction information of the coal gasification device and the parameter list of the coal gasification device.

4. The remote technical service system of the coal gasification device according to claim 2, characterized in that, The platform home page information corresponding to the platform home page control includes the preset index set corresponding to the coal gasification device.

5. The remote technical service system of the coal gasification device according to claim 2, characterized in that, The monitoring management information corresponding to the monitoring management control includes the overall display information of the coal gasification device, the operation monitoring information of the coal gasification device and the coal gasification process management information.

6. The remote technical service system for the coal gasification device according to any one of claims 1 to 5, characterized in that, The operation data of the coal gasification device includes process parameters obtained from the real-time database, key material analysis data obtained from the LIMS system, price data obtained from the ERP system, energy consumption data obtained from the energy management system, device alarm information obtained from the alarm system and index data obtained from the production management system.

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