Ship automatic refinery operation safety supervision system based on data analysis

Abstract

The present invention discloses a ship automatic refinery operation safety supervision system based on data analysis, comprising an information collection unit, an information classification unit, a personnel analysis unit, an adaptive processing unit, a personnel dispatch unit and an information output unit. The present invention relates to the technical field of refinery operation safety supervision, and solves the technical problem that staff cannot be reasonably dispatched according to actual conditions. The present invention classifies staff according to the departments to which they belong, and then groups the classified inspection department staff again, and then reasonably matches the grouped personnel with time periods according to the number of inspections, and distributes them by calculating data, so that the overall distribution is more reasonable. Secondly, by comparing the collected real-time data with the work data, it is determined whether there is an abnormal situation, and reasonable personnel dispatch is carried out according to the abnormal situation, thereby ensuring the rationality of personnel dispatch.

Description

Technical Field

[0001] The present invention relates to the technical field of refinery operation safety supervision, and in particular to a ship automatic refinery operation safety supervision system based on data analysis. Background Art

[0002] Automatic refinery, also known as automatic fractionation device or automatic distillation device, is a kind of equipment used for crude oil fractionation and refining process under high temperature and high pressure. It is mainly used to decompose crude oil into different fractions to obtain various petroleum products, such as gasoline, diesel, lubricating oil, etc. Automatic refinery adopts advanced automatic control technology to realize the automation of the process.

[0003] Safety supervision is required when the refinery is in operation, but most of the existing safety supervision systems collect data on its operating status and then analyze the collected data to perform safety supervision. However, regular manual inspections and supervision are also required when the refinery is working, but some existing safety supervision systems cannot achieve reasonable allocation of staff, and manual allocation and dispatch may result in unreasonable dispatch. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides a ship automatic refinery operation safety supervision system based on data analysis, which solves the problem that staff cannot be reasonably dispatched according to actual conditions.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a ship automatic refinery operation safety supervision system based on data analysis, comprising:

[0006] The information collection unit is used to obtain basic information of the target object, the target object includes: staff, the basic information includes: the number of staff, the number of inspections and the affiliated department, and transmit the obtained basic information of the target object to the information classification unit;

[0007] The information classification unit is used to obtain the basic information of the target object and the inspection time transmitted by the information collection unit, and classify the target object according to the subordinate department in the basic information to generate personnel classification information, and transmit the personnel classification information to the personnel analysis unit, and then classify the inspection time to generate time grouping information, and transmit the time grouping information to the adaptive processing unit;

[0008] The personnel analysis unit is used to obtain the transmitted personnel classification information and analyze the inspection department information therein, group the inspection department personnel into A2, B2 and C2 according to the inspection times of the inspection department, generate corresponding group information, and transmit the group information to the adaptive processing unit;

[0009] The adaptive processing unit is used to obtain the transmitted personnel grouping information and time grouping information, and match the personnel grouping information with the time grouping information to generate matching information, and then perform personnel allocation and generate personnel allocation information according to the generated matching information, and transmit the personnel allocation information to the information output unit, and at the same time obtain the real-time working parameters transmitted by the real-time acquisition unit, and compare them with the normal working parameters to generate normal signals and abnormal signals, and transmit the normal signals to the information output unit, and transmit the abnormal signals to the personnel dispatching unit;

[0010] The personnel dispatch unit is used to obtain the transmitted abnormal signal, and obtain the maintenance department information and the personnel information of the maintenance department, wherein the personnel information includes: maintenance time Tj and maintenance number CSj. It should be noted here that the maintenance time T represents the time from the current time node to the last maintenance as the maintenance time T. At the same time, it is analyzed to generate the corresponding personnel dispatch information, and the personnel dispatch information is transmitted to the information output unit.

[0011] As a further solution of the present invention: the specific classification method of the information classification unit is as follows:

[0012] S1: The specific method of classifying the target objects is as follows: all target objects are obtained, and the target objects are classified into inspection departments and maintenance departments according to the departments to which they belong. At the same time, the number of people in the inspection department is recorded and marked as i, the number of people in the maintenance department is recorded and marked as j, and the corresponding inspection department information and maintenance department information are generated;

[0013] S2: The specific method of grouping the inspection time is: group the inspection time into three time periods: A1, B1 and C1 according to different time periods, where the time represented by the A1 time period is 07:00-09:00, the time represented by the B1 time period is 12:00-14:00, and the time represented by the C1 time period is 17:00-19:00. The time division here is a division method in this application, and can be specifically divided according to actual production work.

[0014] As a further solution of the present invention: the specific manner in which the personnel analysis unit generates grouping information is as follows:

[0015] P1: Obtain all the staff in the inspection department, label them as i, where i = 1, 2, …, n. Then obtain the inspection times of all staff i, denoted as Xi, and calculate the average value of the inspection times of all staff, denoted as Xp. Next, use Xp - YS and Xp + YS as grouping criteria to generate three groups A2, B2, and C3, where YS is a preset value. It should be noted here that YS represents the preset value of the inspection times, and the specific value is set by the operator himself;

[0016] P2: Classify the staff with 0 ≤ Xi ≤ Xp - YS into group A2, the staff with Xp - YS < Xi ≤ Xp + YS into group B2, and the staff with Xp + YS < Xi into group C2, and generate staff grouping information at the same time.

[0017] As a further solution of the present invention: The specific way for the adaptive processing unit to generate matching information is as follows:

[0018] M1: Obtain the staff grouping information and obtain the number of staff in the corresponding groups A2, B2, and C2, denoted as Rc, where c = A2, B2, and C2. Then sort them in ascending order according to the number of staff Rc, and match the time grouping information in ascending order to generate matching information. It should be noted here that if the sorting order of the number of staff Rc corresponding to A2, B2, and C2 is B2, A2, and C2, then match B2 with A1, match A2 with B1, and match C2 with C1;

[0019] M2: Then obtain the matching information and dispatch the grouped staff to generate dispatch information. The specific dispatch method is as follows: Obtain the inspection times Xi of the corresponding staff in the three groups A2, B2, and C2, and dispatch them in ascending order of the inspection times Xi, and generate the corresponding dispatch information. It should be noted here that when dispatching the staff in the three groups A2, B2, and C2, dispatch them according to the inspection times of the staff in each group, starting from the smallest inspection time and so on.

[0020] As a further solution of the present invention: The specific way for the staff dispatch unit to generate staff dispatch information is as follows:

[0021] N1: Sort the maintenance durations Tj of all the staff in the maintenance department obtained in ascending order, and screen out the staff whose maintenance durations Tj are greater than the preset value TY, and mark them as the staff to be dispatched;

[0022] N2: Then obtain the maintenance times CSj of all the personnel to be dispatched, and sort them from small to large according to the maintenance times, and at the same time select the personnel to be dispatched with the smallest maintenance times CSj, and generate corresponding dispatch information.

[0023] As a further solution of the present invention: the real-time acquisition unit is used to acquire the real-time working parameters of the ship's automatic refinery and transmit them to the adaptive processing unit.

[0024] As a further solution of the present invention: the information output unit is used to obtain the transmitted matching information, normal signal and personnel dispatch information, and display it to the operator through a display device.

[0025] Beneficial Effects

[0026] The present invention provides a ship automatic refinery operation safety supervision system based on data analysis. Compared with the prior art, it has the following beneficial effects:

[0027] The present invention classifies the staff members according to the departments they belong to, then groups the classified inspection department staff members again, then matches the grouped staff members to reasonable time periods according to the number of inspections, and allocates them through data calculation, so that the overall allocation is more reasonable. Secondly, by comparing the collected real-time data with the work data, it is determined whether there are any abnormal situations, and reasonable personnel dispatch is carried out according to the abnormal situations, thereby ensuring the rationality of personnel dispatch. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 is a system block diagram of the present invention;

[0029] Figure 2 This is a judgment diagram of the method of the present invention. DETAILED DESCRIPTION

[0030] 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.

[0031] For example, see Figure 1 and Figure 2 , this application provides a ship automatic refinery operation safety supervision system based on data analysis, including:

[0032] The information collection unit is used to obtain the basic information of the target object, the target object includes: staff, the basic information includes: the number of staff, the number of inspections and the affiliated department, and transmit the obtained basic information of the target object to the information classification unit.

[0033] The information classification unit is used to obtain the basic information of the target object and the inspection time transmitted by the information collection unit, and classify the target object according to the subordinate department in the basic information to generate personnel classification information, and transmit the personnel classification information to the personnel analysis unit, and then classify the inspection time to generate time grouping information, and transmit the time grouping information to the adaptive processing unit, and the specific classification method is as follows:

[0034] S1: The specific method of classifying the target objects is as follows: all target objects are obtained, and the target objects are classified into inspection departments and maintenance departments according to the departments to which they belong. At the same time, the number of people in the inspection department is recorded and marked as i, the number of people in the maintenance department is recorded and marked as j, and the corresponding inspection department information and maintenance department information are generated;

[0035] S2: The specific method of grouping the inspection time is: group the inspection time into three time periods: A1, B1 and C1 according to different time periods, where the time represented by the A1 time period is 07:00-09:00, the time represented by the B1 time period is 12:00-14:00, and the time represented by the C1 time period is 17:00-19:00. The time division here is a division method in this application, and can be specifically divided according to actual production work.

[0036] The personnel analysis unit is used to obtain the transmitted personnel classification information and analyze the inspection department information therein, group the inspection department personnel into A2, B2 and C2 according to the inspection times of the inspection department, generate corresponding group information, and transmit the group information to the adaptive processing unit. The specific method of generating the group information is as follows:

[0037] P1: Get all the staff members of the inspection department and label them as i, where i=1, 2, ..., n. Then get the inspection times of all staff members i and record them as Xi. Calculate the average inspection times of all staff members and record them as Xp. Then use Xp-YS and Xp+YS as grouping criteria to generate the corresponding three groups A2, B2 and C3. YS is the preset value. It should be noted here that YS represents the preset value of the inspection times. The specific value is set by the operator.

[0038] P2: Classify the staff with 0≤Xi≤Xp - YS into Group A2, the staff with Xp - YS < Xi≤Xp + YS into Group B2, and the staff with Xp + YS < Xi into Group C2, and generate staff grouping information simultaneously.

[0039] An adaptive processing unit is used to obtain the transmitted staff grouping information and time grouping information, match the staff grouping information with the time grouping information mutually, generate matching information, then perform staff allocation according to the generated matching information and generate staff allocation information, and transmit the staff allocation information to the information output unit simultaneously. The specific method for generating the matching information is as follows:

[0040] M1: Obtain the staff grouping information and obtain the number of staff in the corresponding groups of A2, B2, and C2, which is marked as Rc, where c = A2, B2, and C2. Then sort according to the number of staff Rc from small to large, and match the time grouping information in ascending order to generate matching information. It should be noted here that: if the sorting order of the number of staff Rc corresponding to A2, B2, and C2 is B2, A2, and C2, then match B2 with A1, A2 with B1, and C2 with C1;

[0041] M2: Then obtain the matching information and dispatch the grouped staff to generate dispatch information. The specific dispatch method is: obtain the inspection times Xi of the corresponding staff in the three groups of A2, B2, and C2, and dispatch them in ascending order of the inspection times Xi, and generate the corresponding dispatch information. It should be noted here that: when dispatching the staff in the three groups of A2, B2, and C2, dispatch according to the inspection times of each group of staff, starting from the smallest inspection times first, and so on.

[0042] The information output unit is used to obtain the transmitted matching information and display it to the operator through a display device.

[0043] Embodiment 2. As the second embodiment of the present invention, the difference from Embodiment 1 is that the real-time acquisition unit acquires the real-time working parameters of the ship automatic refining machine and transmits the real-time working parameters to the adaptive processing unit, where the real-time working parameters include: real-time temperature and real-time pressure, and the real-time working parameters are acquired through a correspondingly set temperature detector and pressure detector.

[0044] The adaptive processing unit is used to obtain the transmitted real-time working parameters and compare the obtained real-time working parameters with the normal working parameters. The normal working parameters are obtained by collecting the parameters under the normal working state and recording and storing them. When the real-time working parameters are compared with the normal working parameters and an abnormality is found, an abnormal signal is generated and the abnormal signal is transmitted to the personnel dispatch unit. When the real-time working parameters are compared with the normal working parameters and no abnormality is found, a normal signal is generated and the normal signal is transmitted to the information output unit.

[0045] The personnel dispatch unit is used to obtain the transmitted abnormal signal, and obtain the maintenance department information and the personnel information of the maintenance department, wherein the personnel information includes: maintenance time Tj and maintenance times CSj. It should be noted here that the maintenance time T represents the time from the current time node to the last maintenance as the maintenance time T. At the same time, it is analyzed to generate the corresponding personnel dispatch information, and the personnel dispatch information is transmitted to the information output unit. The specific generation method is as follows:

[0046] N1: Sort the maintenance time Tj of all the staff in the maintenance department from small to large, and select the staff whose maintenance time Tj is greater than the preset value TY, and mark them as staff to be dispatched;

[0047] N2: Then obtain the maintenance times CSj of all the personnel to be dispatched, and sort them from small to large according to the maintenance times, and at the same time select the personnel to be dispatched with the smallest maintenance times CSj, and generate corresponding dispatch information.

[0048] The information output unit is used to obtain the transmitted normal signals and personnel dispatch signals, and display them to the operator through the display device.

[0049] Embodiment 3, as the embodiment 3 of the present invention, focuses on combining the implementation processes of embodiment 1 with embodiment 2 for implementation.

[0050] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0051] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The ship automatic refinery operation safety supervision system based on data analysis is characterized by: Including: An information collection unit, which is used to obtain the basic information of the target object. The target object includes: staff members. The basic information includes: the number of staff members, the number of inspections, and the affiliated department, and transmits the obtained basic information of the target object to the information classification unit; An information classification unit, which is used to obtain the basic information of the target object, and at the same time obtain the inspection time transmitted by the information collection unit, classify the target object according to the affiliated department in the basic information to generate personnel classification information, and at the same time transmit the personnel classification information to the personnel analysis unit, and then classify the inspection time to generate time grouping information, and at the same time transmit the time grouping information to the adaptive processing unit, and the specific classification method is as follows: S1: The specific method for classifying the target object is: obtain all target objects, classify the target objects into the inspection department and the maintenance department according to the affiliated department of the target object, record the number of people in the inspection department and mark it as i, record the number of people in the maintenance department and mark it as j, and generate the corresponding inspection department information and maintenance department information; S2: The specific method for grouping the inspection time is: group the inspection time into three types of time periods A1, B1, and C1 according to different time periods. The time represented by the A1 time period is 07:00 - 09:00, the time represented by the B1 time period is 12:00 - 14:00, and the time represented by the C1 time period is 17:00 - 19:00; A personnel analysis unit, which is used to obtain the transmitted personnel classification information and analyze the inspection department information therein, group the personnel in the inspection department into groups A2, B2, and C2 according to the number of inspections of the inspection department, and generate the corresponding grouping information, and at the same time transmit the grouping information to the adaptive processing unit, and the specific method for generating the grouping information is as follows: P1: Obtain all the staff members in the inspection department and label them as i, and i = 1, 2,..., n. Then obtain the number of inspections of all the staff members i and record it as Xi, and calculate the average value of the number of inspections of all the staff members and record it as Xp. Then use Xp - YS and Xp + YS as the grouping criteria to generate the corresponding three groups A2, B2, and C2, and YS is a preset value; P2: Classify the staff members with 0 ≤ Xi ≤ Xp - YS into group A2, classify the staff members with Xp - YS < Xi ≤ Xp + YS into group B2, and classify the staff members with Xp + YS < Xi into group C2, and at the same time generate personnel grouping information; An adaptive processing unit, which is used to obtain the transmitted personnel grouping information and time grouping information, match the personnel grouping information with the time grouping information, generate matching information, then perform personnel allocation according to the generated matching information and generate personnel allocation information, and at the same time transmit the personnel allocation information to the information output unit, and at the same time obtain the real-time working parameters transmitted by the real-time acquisition unit, compare them with the normal working parameters to generate normal signals and abnormal signals, transmit the normal signals to the information output unit, and transmit the abnormal signals to the personnel dispatch unit; The personnel dispatch unit is used to obtain the transmitted abnormal signal, and obtain the maintenance department information and the personnel information of the maintenance department, wherein the personnel information includes: maintenance time Tj and maintenance number CSj, and analyzes them to generate corresponding personnel dispatch information, and transmits the personnel dispatch information to the information output unit. The specific method of generating the personnel dispatch information is as follows: N1: Sort the maintenance time Tj of all the staff in the maintenance department from small to large, and select the staff whose maintenance time Tj is greater than the preset value TY, and mark them as staff to be dispatched; N2: Then obtain the maintenance times CSj of all the personnel to be dispatched, and sort them from small to large according to the maintenance times, and at the same time select the personnel to be dispatched with the smallest maintenance times CSj, and generate corresponding dispatch information.

2. The ship automatic refinery operation safety supervision system based on data analysis according to claim 1 is characterized in that: The specific method of the adaptive processing unit generating matching information is as follows: M1: Get the personnel grouping information and the number of personnel in the corresponding groups of A2, B2 and C2, and mark them as Rc, where c=A2, B2 and C2. Then sort them from small to large according to the number of personnel Rc, and match the time grouping information in the order from small to large to generate matching information. M2: Then obtain the matching information, and dispatch the grouped personnel to generate dispatch information. The specific dispatch method is: obtain the inspection times Xi of the corresponding staff in the three groups A2, B2 and C2, and dispatch them in order from small to large according to the inspection times Xi, and generate corresponding dispatch information.

3. The ship automatic refinery operation safety supervision system based on data analysis according to claim 1 is characterized in that: The real-time acquisition unit is used to acquire the real-time working parameters of the ship's automatic refinery and transmit them to the adaptive processing unit.

4. The ship automatic refinery operation safety supervision system based on data analysis according to claim 1 is characterized in that: The information output unit is used to obtain the transmitted matching information, normal signal and personnel dispatch information, and display them to the operator through the display device.

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