Storage and transportation management method suitable for benzene hydrogenation system

Abstract

The invention relates to the field of chemical raw material production management and control, in particular to a storage and transportation management method suitable for a benzene hydrogenation system, and aims to solve the problem that potential safety hazards exist in chemical production due to insufficient equipment online monitoring rate and insufficient device automatic control rate in the chemical production process. Comprising an instrument supervision unit, a data cleaning unit, a monitoring analysis unit, an optimization control unit and an early warning output unit. Through linkage feedback of instrument data supervision and data judgment optimization, closed-loop control of data acquisition, automatic data processing, supervision data judgment and result intelligent decision is realized, dynamic response to abnormal states of storage and transportation equipment or transportation equipment in the operation process is realized, and compared with a traditional manual inspection mode, the method has the advantages that the operation efficiency is improved, and the maintenance cost is reduced. According to the scheme, the manual workload can be greatly reduced, the risks of false alarm and missing alarm caused by data distortion can be avoided, meanwhile, all-time monitoring coverage is achieved, and the safety in the chemical production process is effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of production control of chemical raw materials, and specifically to a storage and transportation management method applicable to a benzene hydrogenation system. Background Art

[0002] The benzene hydrogenation unit of the refined benzene branch company adopts the low-temperature hydrogenation refining process technology. Using crude benzene as raw material, impurities such as unsaturated substances, sulfur-containing, nitrogen-containing and non-aromatic compounds are removed through hydrogenation refining and extractive distillation to produce high-purity benzene, toluene and xylene products. The removed C9 and above heavy components and non-aromatics are sold as by-products.

[0003] The benzene hydrogenation unit includes a hydrogenation refining unit, an extractive distillation unit, a storage and transportation unit and a public auxiliary system. The hydrogenation refining unit includes three parts: pre-fractionation, catalytic hydrogenation and stabilizer column; the extractive distillation unit includes three parts: extractive distillation, solvent recovery and regeneration, and aromatic hydrocarbon separation and distillation; the storage and transportation unit is divided into three parts, namely the tank farm, the new crude benzene tank farm and the loading and unloading station; the public auxiliary system is divided into two parts, namely the nitrogen generation station and the refrigeration station.

[0004] The chemical production process is relatively complex and has great risks, with characteristics such as flammable, explosive and corrosive. Therefore, it is necessary to strengthen the safety control of chemical production and reduce the probability of safety accidents. At present, in the existing benzene hydrogenation production system, the online monitoring rate of key equipment is less than 50%, and the automatic control rate of the unit is less than 20%, which brings uncertainty to production safety. The low automatic control rate not only increases the workload of operators, but also does not conform to the development trend of industrial automation.

[0005] Based on this, it is necessary to optimize the application of automation control technology to ensure the production safety management efficiency. The necessity and specific measures of the application of automation control in chemical production safety are mainly analyzed, aiming to further improve the automation control effect of chemical production, ensure the safety and reliability of chemical production, and promote the sustainable development of chemical enterprises.

[0006] In view of the above technical problems, this application proposes a solution. Summary of the Invention

[0007] Through the linkage feedback of the supervision of instrument data and the optimization of data judgment, the present invention realizes the closed-loop control of data acquisition, automatic data processing, supervision data judgment, and intelligent result decision-making, and realizes the dynamic response to the abnormal states that occur during the operation of storage and transportation equipment or transportation equipment. Compared with the traditional manual inspection method, this solution can greatly reduce the manual workload, and at the same time achieve full-time monitoring coverage, effectively improving the safety in the chemical production process, solving the problem of potential safety hazards in chemical production caused by insufficient online monitoring rate of equipment and insufficient automatic control rate of devices in the chemical production process, and thus proposing a storage and transportation management method applicable to the benzene hydrogenation system.

[0008] The object of the present invention can be achieved by the following technical solutions:

[0009] A storage and transportation management method applicable to the benzene hydrogenation system, including an instrument supervision unit, a data cleaning unit, a monitoring and analysis unit, an optimization control unit, and a warning output unit. The instrument supervision unit supervises the transportation equipment and storage equipment of the benzene hydrogenation system through instruments and collects instrument data;

[0010] The data cleaning unit cleans the data collected by the instrument supervision unit to obtain accurate processed data and sends the accurate data to the monitoring and analysis unit;

[0011] The monitoring and analysis unit performs model analysis on the accurate data, obtains transportation management results and storage management results according to the model analysis, and sends the transportation management results and storage management results to the warning output unit;

[0012] The warning output unit performs standardized analysis according to the transportation management results and storage management results, generates a warning signal through the result of the standardized analysis, sends the warning signal to the output device through the network, performs audible and visual warnings through the display device, and at the same time sends the warning signal to the optimization control unit;

[0013] After obtaining the warning signal, the optimization control unit obtains the transportation management results and storage management results through the monitoring and analysis unit, analyzes the transportation management results and storage management results to generate an optimization control result, feeds back the optimization control result to the monitoring and analysis unit, and the monitoring and analysis unit adjusts the equipment according to the optimization control result.

[0014] As a preferred embodiment of the present invention, the instrument data collected by the instrument supervision unit is divided into transportation equipment data and storage equipment data. The transportation equipment data includes pipeline pressure, pipeline vibration data, and pipeline flow rate, and the storage equipment data includes storage pressure, storage capacity, and storage temperature. When the instrument supervision unit collects instrument data, it collects data at a preset fixed collection frequency;

[0015] The instrument supervision unit sends the acquired instrument data to the data cleaning unit.

[0016] As a preferred embodiment of the present invention, after acquiring the transportation equipment data, the data cleaning unit cleans the transportation equipment data. Specifically, the data cleaning unit performs arithmetic averaging among all pipeline pressure data, records the result of the arithmetic averaging as the average pressure, calculates the difference between each pipeline pressure data and the average pressure to obtain a data difference. If the ratio of the data difference to the average pressure is greater than a set threshold, it is determined that the data is abnormal and the abnormal data is deleted. If the ratio of the data difference to the average pressure is less than the set threshold, the data is retained.

[0017] The data cleaning unit performs data cleaning on pipeline vibration data, pipeline flow rate, storage temperature, and storage pressure in the same manner.

[0018] As a preferred embodiment of the present invention, the data cleaning unit sorts the storage capacity according to the acquisition time, calculates the difference between adjacent data according to the sorted sequence, and calculates the capacity change speed through the ratio of the difference to the acquisition time interval. The capacity change speed is compared with a set change speed. If the capacity change speed is greater than the set speed upper limit, it is determined that the data is abnormal and the abnormal data is deleted. If the capacity change speed is not greater than the set speed upper limit, the data is retained.

[0019] The data cleaning unit records the retained data as accurate data.

[0020] As a preferred embodiment of the present invention, the monitoring and analysis unit imports the transportation equipment data into a set model and analyzes the pipeline pressure, pipeline vibration data, and pipeline flow rate. Specifically:

[0021] Through threshold analysis of the pipeline pressure, obtain the number of times the pipeline pressure is within the normal pressure range and the number of times it exceeds the normal pipeline pressure range, and calculate the normal proportion by calculating the proportion of the number of times within the normal pressure range in the total pressure times.

[0022] Calculate the weight ratio of the pipeline vibration data and pipeline flow rate at different times to obtain the pipeline vibration characteristics at different times. The monitoring and analysis unit records the pipeline vibration characteristics and the normal proportion as the transportation management result.

[0023] As a preferred embodiment of the present invention, the analysis method of the monitoring and analysis unit for the storage management result is:

[0024] The monitoring and analysis unit compares the stored pressure and stored temperature with the set thresholds respectively, determines whether the stored pressure and stored temperature meet the standard requirements according to the comparison results, records the judgment results, counts the number of times the stored pressure meets the standard requirements and the number of times the stored temperature meets the standard requirements according to the judgment results, and counts the times to obtain the proportion of the number of times the stored pressure meets the standard requirements in the total number of times and the proportion of the number of times the stored temperature meets the standard requirements in the total number of times, and records them as the storage management results.

[0025] As a preferred embodiment of the present invention, the warning output unit respectively performs threshold analysis on the normal proportion in the transportation management result and the pipeline vibration characteristics, obtains a transportation normal signal or a transportation abnormal signal according to the analysis results, and the warning output unit performs threshold judgment on each proportion in the storage management result, and generates a storage normal signal or a storage abnormal signal according to the judgment results;

[0026] The warning output unit uses the transportation abnormal signal and the storage abnormal signal as warning signals.

[0027] As a preferred embodiment of the present invention, after obtaining the warning signal, the optimization control unit adjusts the transportation equipment or the storage equipment according to the abnormal type in the warning signal. If the warning signal disappears, only the adjustment process is recorded. If the warning signal does not disappear, an alarm is issued.

[0028] Compared with the prior art, the beneficial effects of the present invention are:

[0029] 1. In the present invention, through the linkage feedback of the supervision of instrument data and the optimization of data judgment, the closed-loop control of data collection, data automatic processing, supervision data judgment, and result intelligent decision-making is realized, and the dynamic response to the abnormal state occurring during the operation of storage and transportation equipment or transportation equipment is realized. Compared with the traditional manual inspection method, this solution can greatly reduce the manual workload, and at the same time achieve full-time monitoring coverage, effectively improving the safety in the chemical production process.

[0030] 2. In the present invention, the data multi-level processing technology of data cleaning and data combination analysis is adopted to effectively solve the problem of noise interference in the operation data of chemical equipment, effectively ensure the monitoring accuracy rate of the parameters of key equipment, avoid the risk of false alarms and missed alarms caused by data distortion, and at the same time, through the combination of a standardized warning signal generation model, realize the human-computer interaction at the warning level and ensure the warning effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the drawings.

[0032] Figure 1 is the system block diagram of the present invention;

[0033] Figure 2 This is the system flow chart of the present invention. Specific embodiments

[0034] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts belong to the scope of protection of the present invention.

[0035] Embodiment 1:

[0036] Please refer to Figure 1 - Figure 2 As shown, a storage and transportation management method applicable to a benzene hydrogenation system includes an instrument supervision unit, a data cleaning unit, a monitoring and analysis unit, an optimization control unit, and an early warning output unit. The instrument supervision unit collects data on the transportation equipment and storage equipment of the benzene hydrogenation system through instruments. The instrument data collected by the instrument supervision unit is divided into transportation equipment data and storage equipment data. Among them, the transportation equipment data includes pipeline pressure, pipeline vibration data, and pipeline flow rate, and the storage equipment data includes storage pressure, storage capacity, and storage temperature;

[0037] When the instrument supervision unit collects instrument data, it collects data at a preset fixed collection frequency, and the instrument supervision unit sends the obtained instrument data to the data cleaning unit;

[0038] After obtaining the transportation equipment data, the data cleaning unit cleans the data collected by the instrument supervision unit to obtain accurate processed data, and sends the accurate data to the monitoring and analysis unit;

[0039] The specific data cleaning steps are as follows:

[0040] S1: The data cleaning unit performs arithmetic averaging between all pipeline pressure data, records the result of the arithmetic averaging as the average pressure, calculates the difference between each pipeline pressure data and the average pressure to obtain a data difference. If the ratio of the data difference to the average pressure is greater than the set threshold, it is determined that the data is abnormal and the abnormal data is deleted. If the ratio of the data difference to the average pressure is less than the set threshold, the data is retained;

[0041] S2: The data cleaning unit performs data cleaning on the pipeline vibration data, pipeline flow rate, storage temperature, and storage pressure in the same way;

[0042] S3: The data cleaning unit sorts the storage capacity according to the collection time, calculates the difference between adjacent data based on the sorted sequence, and calculates the capacity change speed by the ratio of the difference to the collection time interval. The capacity change speed is compared with the set change speed. If the capacity change speed is greater than the set speed upper limit, the data is determined to be abnormal and the abnormal data is deleted. If the capacity change speed is not greater than the set speed upper limit, the data is retained;

[0043] S4: The data cleaning unit records the retained data as accurate data.

[0044] The monitoring and analysis unit performs model analysis on the accurate data, obtains the transportation management result and the storage management result according to the model analysis, and sends the transportation management result and the storage management result to the warning output unit;

[0045] The monitoring and analysis unit imports the transportation equipment data into the set model and analyzes the pipeline pressure, pipeline vibration data, and pipeline flow rate. Specifically:

[0046] Through threshold analysis of the pipeline pressure, obtain the number of times the pipeline pressure is within the normal pressure range and the number of times exceeding the normal pipeline pressure range, and obtain the normal ratio by calculating the proportion of the number of times within the normal pressure range in the total pressure times;

[0047] Record the pipeline vibration data at different times as Zi, record the pipeline flow rate as Fi, and calculate the weight ratio through the formula to obtain the pipeline vibration characteristics D at different times, where q and j are the corresponding weight coefficients respectively, and the ratio of q and j is determined by the characteristic relationship between the pipeline flow velocity and the pipeline vibration, so as to adjust the weight ratio of the pipeline vibration data and the pipeline flow rate. The monitoring and analysis unit records the pipeline vibration characteristics and the normal ratio as the transportation management result;

[0048] The analysis method of the monitoring and analysis unit for the storage management result is:

[0049] The monitoring and analysis unit compares the storage pressure and the storage temperature with the set thresholds respectively, judges whether the storage pressure and the storage temperature meet the standard requirements according to the comparison results, records the judgment results, counts the number of times the storage pressure meets the standard requirements and the number of times the storage temperature meets the standard requirements according to the judgment results, and counts the times to obtain the proportion of the number of times the storage pressure meets the standard requirements in the total number of times and the proportion of the number of times the storage temperature meets the standard requirements in the total number of times, and records them as the storage management result.

[0050] The warning output unit respectively performs threshold analysis on the normal proportion and pipeline vibration characteristics in the transportation management result. If the normal proportion is greater than the set threshold and the pipeline vibration characteristic is less than the set threshold, a normal transportation signal is generated; otherwise, an abnormal transportation signal is generated.

[0051] The warning output unit performs threshold judgment on each proportion in the storage management result. If each proportion is within the threshold range, a normal storage signal is generated. If there is at least one proportion outside the threshold range, an abnormal storage signal is generated. The warning output unit takes the abnormal transportation signal and abnormal storage signal as warning signals.

[0052] The warning output unit sends the warning signal to the output device through the network, conducts audible and visual warnings through the display device, and simultaneously sends the warning signal to the optimization control unit.

[0053] Embodiment 2:

[0054] Please refer to Figure 1 - Figure 2 As shown, after obtaining the warning signal, the optimization control unit obtains the transportation management result and storage management result through the monitoring and analysis unit, analyzes the transportation management result and storage management result, and determines the types of data to which the warning signal belongs, including pipeline pressure abnormality, pipeline vibration abnormality, storage pressure abnormality, and storage temperature abnormality. Then, according to the abnormal types in the warning signal, the transportation equipment or storage equipment is adjusted through the monitoring and analysis unit to correct the pipeline pressure to relieve the pipeline pressure abnormality, adjust the pipeline flow rate to correct the pipeline vibration abnormality, adjust the storage pressure to correct the storage pressure abnormality, and adjust the storage temperature to correct the storage temperature abnormality. If the warning signal disappears, only the adjustment process is recorded. If the warning signal does not disappear, an alarm is issued.

[0055] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not elaborate on all details and do not limit the present invention to only the specific implementation manners. Obviously, many modifications and changes can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, so that those skilled in the relevant technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A storage and transportation management method applicable to a benzene hydrogenation system, characterized in that: It includes an instrument supervision unit, a data cleaning unit, a monitoring and analysis unit, an optimization control unit and an early warning output unit. The instrument supervision unit supervises the transportation equipment and storage equipment of the benzene hydrogenation system through instruments and collects instrument data; The data cleaning unit cleans the data collected by the instrument monitoring unit to obtain processed accurate data, and sends the accurate data to the monitoring and analysis unit; The monitoring and analysis unit performs model analysis on the accurate data, obtains transportation management results and storage management results according to the model analysis, and sends the transportation management results and storage management results to the early warning output unit; The warning output unit performs standardized analysis according to the transportation management results and the storage management results, generates a warning signal through the results of the standardized analysis, sends the warning signal through the network, performs sound and light warning through the display device, and sends the warning signal to the optimization control unit at the same time; After obtaining the early warning signal, the optimization control unit obtains the transportation management results and the storage management results through the monitoring and analysis unit, analyzes the transportation management results and the storage management results, generates the optimization control results, and feeds the optimization control results back to the monitoring and analysis unit, which adjusts the equipment according to the optimization control results.

2. The storage and transportation management method applicable to the benzene hydrogenation system according to claim 1, characterized in that: The instrument data collected by the instrument monitoring unit is divided into transportation equipment data and storage equipment data, wherein the transportation equipment data includes pipeline pressure, pipeline vibration data and pipeline flow, and the storage equipment data includes storage pressure, storage capacity and storage temperature. When collecting instrument data, the instrument monitoring unit collects data at a preset fixed collection frequency; The instrument monitoring unit sends the acquired instrument data to the data cleaning unit.

3. The storage and transportation management method applicable to the benzene hydrogenation system according to claim 1, characterized in that: After acquiring the transportation equipment data, the data cleaning unit cleans the transportation equipment data, specifically: the data cleaning unit performs arithmetic averaging on all pipeline pressure data, records the result of the arithmetic averaging as the average pressure, and performs difference calculation between each pipeline pressure data and the average pressure to obtain the data difference. If the ratio of the data difference to the average pressure is greater than a set threshold, the data is determined to be abnormal, and the abnormal data is deleted; if the ratio of the data difference to the average pressure is less than the set threshold, the data is retained; The data cleaning unit cleans the pipeline vibration data, pipeline flow rate, storage temperature and storage pressure in the same way.

4. The storage and transportation management method applicable to the benzene hydrogenation system according to claim 3, characterized in that: The data cleaning unit sorts the storage capacity according to the collection time, calculates the difference between adjacent data according to the sorted sequence, and calculates the capacity change speed by the ratio of the difference to the collection time interval, and compares the capacity change speed with the set change speed. If the capacity change speed is greater than the set speed upper limit, the data is determined to be abnormal and the abnormal data is deleted. If the capacity change speed is not greater than the set speed upper limit, the data is retained; The data cleaning unit records the retained data as accurate data.

5. The storage and transportation management method applicable to the benzene hydrogenation system according to claim 4, characterized in that: The monitoring and analysis unit imports the transportation equipment data into the set model and analyzes the pipeline pressure, pipeline vibration data and pipeline flow, specifically: Threshold analysis is performed through pipeline pressure to obtain the number of times the pipeline pressure is within the normal pressure range and the number of times the pipeline pressure exceeds the normal range, and the normal ratio is obtained by calculating the ratio of the times within the normal pressure range to the total pressure times; The pipeline vibration characteristics at different times are obtained by calculating the weight ratio of the pipeline vibration data and the pipeline flow at different times. The monitoring and analysis unit records the pipeline vibration characteristics and the normal proportion as the transportation management result.

6. The storage and transportation management method applicable to the benzene hydrogenation system according to claim 1, characterized in that: The monitoring and analysis unit analyzes the storage management results in the following way: The monitoring and analysis unit compares the storage pressure and storage temperature with the set threshold values ​​respectively, determines whether the storage pressure and storage temperature meet the standard requirements based on the comparison results, and records the judgment results. According to the judgment results, the number of times the storage pressure meets the standard requirements and the number of times the storage temperature meets the standard requirements are counted, and the number of times is counted to obtain the proportion of the number of times the storage pressure meets the standard requirements in the total number of times and the proportion of the number of times the storage temperature meets the standard requirements in the total number of times, and record them as storage management results.

7. The storage and transportation management method applicable to the benzene hydrogenation system according to claim 1, characterized in that: The early warning output unit performs threshold analysis on the normal proportion and pipeline vibration characteristics in the transportation management results, and obtains a normal transportation signal or an abnormal transportation signal according to the analysis results. The early warning output unit performs threshold judgment on each proportion in the storage management results, and generates a normal storage signal or an abnormal storage signal according to the judgment results. The early warning output unit transports the abnormal signal and stores the abnormal signal as an early warning signal.

8. The storage and transportation management method applicable to the benzene hydrogenation system according to claim 1, characterized in that: After receiving the warning signal, the optimization control unit adjusts the transportation equipment or storage equipment according to the abnormality type in the warning signal. If the warning signal disappears, only the adjustment process is recorded. If the warning signal does not disappear, an alarm is issued.

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