Chemical yield statistical device and method and computer readable storage medium

Abstract

The invention discloses a chemical product yield statistics device and method and a computer readable storage medium. The device comprises a real-time database system used for collecting and recording real-time data of a chemical product production line, a plurality of nodes of the chemical product production line comprise a device side line, a storage tank, a loading and unloading platform and a mutual supply unit, and the real-time data comprise input data of the device side line, gauge data of the storage tank, temperature data, test analysis data and quality state data; receiving and paying data among a plurality of nodes; the tank quantity calculation model is used for performing calculation based on the tank capacity table and the real-time data to obtain the capacity information of the storage tank; and the data integration platform is used for integrating at least part of data in the capacity information and the real-time data according to the physical topology models corresponding to the plurality of nodes, and generating a production-sales-stock data report of the chemical production line. The technical problems of low accuracy and low efficiency of a chemical product yield statistical scheme in related technologies are solved.

Description

Technical Field

[0001] The present application relates to the technical field of chemical product output statistics, and in particular, to a chemical product output statistics device, method and computer-readable storage medium. Background Art

[0002] During the storage of chemical products, it is necessary to conduct chemical product output statistics based on the input, output and inventory information of the chemical production line.

[0003] In the related art, the statistical method of chemical product output mainly relies on manual production records in each link of the chemical product production line, and then the production dispatcher summarizes the statistics and calculates the output by comparing with the tank capacity table. However, due to the close relationship between the tank quantity information of the chemical product production line and the tank quantity information, tank measurement, temperature, laboratory analysis and quality status of the chemical products, the statistical method of chemical product output in the related art relies on the subjective judgment and operating experience of the operator, and the accuracy and efficiency of the statistical method of chemical product output are low.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present application provide a chemical product output statistics device, method and computer-readable storage medium to at least solve the technical problems of low accuracy and low efficiency of chemical product output statistics solutions in related technologies.

[0006] According to one aspect of an embodiment of the present application, a chemical product output statistics device is provided, including: a real-time database system for collecting and recording real-time data of a chemical product production line, wherein the multiple nodes of the chemical product production line include: a device side line, a storage tank, a loading and unloading platform and a mutual supply unit, and the real-time data include: input data of the device side line, measurement data, temperature data, laboratory analysis data and quality status data of the storage tank, and payment and receipt data between multiple nodes; a tank quantity calculation model for calculating based on a tank capacity table and real-time data to obtain capacity information of the storage tank; a data integration platform for integrating the capacity information and at least part of the real-time data according to a physical topology model corresponding to multiple nodes to generate a production, sales and inventory data report for the chemical product production line.

[0007] Optionally, the tank quantity calculation model is also used to calculate the tank capacity table and real-time data according to the operation events or operation shifts corresponding to the chemical production line to obtain capacity information using the capacity calculation model.

[0008] Optionally, the tank quantity calculation model is also used to determine the capacity calculation model according to the type of storage tank, wherein the types of storage tanks include vertical storage tanks, horizontal storage tanks and spherical storage tanks, and the capacity calculation model is constructed based on the volume of the storage tank, the volume correction coefficient, the volume temperature coefficient, and the water content and density corresponding to the chemical material.

[0009] Optionally, the chemical product output statistics device also includes a device correction model, which is used to perform error correction calculations on instrument measurement data corresponding to the device side line in the real-time data to obtain input-output data corresponding to the device side line.

[0010] Optionally, the device correction model is also used to correct and update the input-output data according to the balance rules corresponding to multiple nodes, wherein the balance rules include: tank inventory benchmark rules, inbound and outbound benchmark rules, mutual supply benchmark rules, recipient benchmark rules, device indicator constraint rules, single-path priority rules, and allocation rules combining the accuracy of side face nodes and the amount of side line nodes.

[0011] Optionally, the chemical product output statistics device also includes a material movement relationship module, which is used to track the movement process of chemical materials according to the payment and receipt data, determine the movement relationship corresponding to multiple nodes, and construct a physical topology model based on the movement relationship, wherein the movement relationship is used to characterize the movement type, source node, target node, source material type and target material type of chemical materials when they move between multiple nodes.

[0012] Optionally, the data integration platform is also used to take inventory of data stored in the real-time database system based on data access events and preset statistical periods, and generate storage tank receipt and payment ledgers and inventory measurement data corresponding to the preset statistical periods.

[0013] Optionally, the data access event is triggered by a real-time data access service and / or a laboratory analysis service provided by the data integration platform.

[0014] According to another aspect of an embodiment of the present application, a method for statistically analyzing chemical product output is also provided, including: collecting and recording real-time data of a chemical product production line, wherein multiple nodes of the chemical product production line include: a device side line, a storage tank, a loading and unloading platform, and a mutual supply unit, and the real-time data include: input data of the device side line, measurement data, temperature data, laboratory analysis data, and quality status data of the storage tank, and payment and receipt data between multiple nodes; calculating based on a tank capacity table and real-time data to obtain capacity information of the storage tank; integrating the capacity information and at least part of the real-time data according to a physical topology model corresponding to multiple nodes to generate a production, sales, and inventory data report for the chemical product production line.

[0015] According to another aspect of an embodiment of the present application, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to implement the above-mentioned chemical product output statistics method.

[0016] In the embodiment of the present application, the real-time database system is used to collect and record the real-time data of the chemical production line, wherein the multiple nodes of the chemical production line include: the device side line, the storage tank, the loading and unloading platform and the mutual supply unit, and the real-time data include: the input data of the device side line, the measurement data, temperature data, test analysis data and quality status data of the storage tank, and the payment data between multiple nodes; the tank volume calculation model is used to calculate based on the tank capacity table and real-time data to obtain the capacity information of the storage tank; the data integration platform is used to integrate at least part of the capacity information and real-time data according to the physical topology model corresponding to multiple nodes, and generate the production, sales and inventory data report of the chemical production line. Thus, the present application achieves the purpose of more accurately counting the output of chemical products, thereby achieving the technical effect of improving the accuracy and efficiency of the statistical scheme of chemical product output, and then solves the problem of low accuracy and low efficiency of the statistical scheme of chemical product output in the related technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1 This is a hardware structure block diagram of an optional terminal device for a chemical product output statistics method according to an embodiment of the present application;

[0019] Figure 2 It is a structural block diagram of a chemical product output statistics device according to an embodiment of the present application;

[0020] Figure 3 is a flow chart of an optional tank quantity calculation according to an embodiment of the present application;

[0021] Figure 4 It is a record diagram of real-time measurement data of a storage tank according to an embodiment of the present application;

[0022] Figure 5 It is a record chart of an optional petrochemical product production, sales and inventory data report according to an embodiment of the present application;

[0023] Figure 6 It is a flow chart of a method for statistically analyzing chemical product output according to an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] According to an embodiment of the present application, an embodiment of a method for statistically analyzing chemical product output is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0027] Figure 1 is a hardware structure block diagram of an optional terminal device for a chemical product output statistical method according to an embodiment of the present application, such as Figure 1 As shown, the terminal device may include one or more processors 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor (Microcontroller Unit, referred to as MCU) or a programmable logic device (Field Programmable Gate Array, referred to as FPGA)), a memory 104 for storing data, and a transmission device 106 for communication functions. In addition, it may also include: a display device 110, an input / output device 108 (i.e., an I / O device), a Universal Serial Bus (USB) port (which may be included as one of the ports of a computer bus, not shown in the figure), a network interface (not shown in the figure), a power supply (not shown in the figure) and / or a camera (not shown in the figure). It can be understood by those skilled in the art that Figure 1The structure shown is for illustration only and does not limit the structure of the above terminal device. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0028] It should be noted that the one or more processors 102 and / or other data processing circuits may be embodied in whole or in part as software, hardware, firmware or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be fully or partially integrated into any of the other components in the terminal device (or mobile device).

[0029] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the chemical product output statistical method in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, realizing the above-mentioned chemical product output statistical method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the terminal device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0030] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the terminal device. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0031] Under the above operating environment, the embodiment of the present application provides the following Figure 2 The chemical product production statistics device shown, as used below, belongs to a "module" that can realize a combination of software and / or hardware for a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0032] Figure 2 is a structural block diagram of a chemical product production statistics device according to an embodiment of the present application, such as Figure 2As shown, the device includes: a real-time database system 201, which is used to collect and record real-time data of a chemical product production line, wherein the multiple nodes of the chemical product production line include: a device side line, a storage tank, a loading and unloading platform and a mutual supply unit, and the real-time data include: input data of the device side line, measurement data, temperature data, test analysis data and quality status data of the storage tank, and payment and receipt data between multiple nodes; a tank quantity calculation model 202, which is used to calculate based on a tank capacity table and real-time data to obtain capacity information of the storage tank; a data integration platform 203, which is used to integrate at least part of the capacity information and real-time data according to the physical topology model corresponding to the multiple nodes, and generate a production, sales and inventory data report of the chemical product production line.

[0033] The above-mentioned device side line can be a branch production line that separates part of the fluid from the main production line for additional processing or directly collects it as an intermediate product or by-product. The device side line can be used to process specific intermediate products or by-products. The above-mentioned storage tank can be a container for storing chemicals. The above-mentioned loading and unloading platform can be a loading and unloading area on a chemical production line, and the loading and unloading platform can be used for loading and unloading of chemicals (such as loading from storage tanks to transportation vehicles (such as trucks, trains, ships) and unloading from transportation vehicles to storage tanks). The above-mentioned mutual supply unit can be a node for mutual supply of materials between different devices or departments within a chemical plant.

[0034] The input data of the above-mentioned device side line can be used to indicate the material input and output of the chemical reaction on the production line. The above-mentioned tank gauge data can be data measuring the liquid height in the tank. The above-mentioned temperature data can be used to indicate the temperature of the chemical product in the tank. The above-mentioned test and analysis data can be used to indicate the chemical properties of the chemical product in the tank. The above-mentioned payment and receipt data can be detailed information recorded when materials are exchanged between different devices, tanks, mutual supply points, etc. during the production process of chemical products. The payment and receipt data may include data such as the amount, time, and material type when the material moves from one node to another.

[0035] The above-mentioned tank capacity table can be a reference table or database for calculating the volume and mass of the liquid in the storage tank. The tank capacity table can include geometric dimension data (such as the diameter, height, shape, inclination angle, etc. of the storage tank), the relationship between the liquid level height and volume, the measurement formula, the air buoyancy coefficient, the static pressure correction, etc. The above-mentioned measurement formula can be used to calculate the volume and mass of the liquid under given liquid level height, temperature, density, etc. It should be noted that the above-mentioned measurement formula includes one or more formulas, and different measurement formulas can be selected according to different types of storage tanks (such as vertical tanks, horizontal tanks, spherical tanks).

[0036] The above-mentioned physical topology model can be used to represent the model of the physical connection relationship between various nodes (such as devices, storage tanks, loading and unloading platforms, etc.) in the chemical production line.

[0037] Specifically, the real-time database system 201 automatically collects real-time data from multiple nodes of the chemical production line, such as the input data of the device side line, the measurement and temperature data of the storage tank, etc., which reduces the errors of manual data entry, improves the efficiency of data collection, and improves the accuracy and real-time nature of the data. Further, the tank quantity calculation model 202 calculates the capacity information of the storage tank through an accurate mathematical formula based on the tank capacity table and real-time data, improves the accuracy of calculating the capacity information of the storage tank, and improves the efficiency of calculating the capacity information of the storage tank. Further, the data integration platform 203 integrates the capacity information obtained by the tank quantity calculation model 202 with part of the data in the real-time data according to the physical topology model corresponding to multiple nodes, and generates a production, sales and inventory data report for the chemical production line. Through data integration, it can clearly show the flow of materials in production, storage, loading and unloading and internal circulation, and provide accurate data for production scheduling and management.

[0038] It is easy to understand that through the above-mentioned chemical product output statistics device, in the embodiment of the present application, by utilizing the real-time database system, the tank quantity calculation model and the data integration platform, data collection and processing can be automatically and quickly performed. In the process of chemical product output statistics, the dependence on manual labor is reduced, the errors of manual data processing are avoided, and the accuracy and efficiency of the chemical product output statistics plan are improved.

[0039] The chemical product output statistics device described above in the embodiment of the present application is further introduced below.

[0040] Optionally, the tank quantity calculation model 202 is also used to calculate the tank capacity table and real-time data using the capacity calculation model according to the operation events or operation shifts corresponding to various operations of the chemical product production line to obtain capacity information.

[0041] The above-mentioned operation events may be events related to tank operations occurring in the chemical production line, such as tank receipt and payment (e.g., receipt and payment operations with the device side line, inlet and outlet points, mutual supply points, other tanks, etc.), tank measurement, delivery and return, status monitoring, tank storage material changes, tank inventory calculation, laboratory analysis and quality information collection, water cutting, shift measurement, re-measurement, tank cleaning, line sweeping, etc. The above-mentioned operation shifts can be used to assist in tracking tank status and material changes. The above-mentioned capacity calculation model may be a submodule of a tank quantity calculation model, which may use specific mathematical formulas and algorithms to calculate the capacity information of chemical materials in the tank.

[0042] Specifically, the tank quantity calculation model receives real-time data transmitted by the real-time database, and uses the capacity calculation model to calculate the tank capacity table and real-time data according to the operation events or operation shifts corresponding to the various operations of the chemical production line to obtain capacity information.

[0043] It is easy to understand that, through the above-mentioned chemical product output statistics device, in the embodiment of the present application, the tank volume calculation model can be used to automatically adjust the calculation process dynamically based on real-time data according to the operation events or operation shifts of various operations corresponding to the chemical product production line, thereby improving the real-time nature of the calculation data and ensuring the accuracy of the calculated capacity information. Therefore, the chemical product output statistics solution of the embodiment of the present application is more accurate and efficient.

[0044] Optionally, the tank quantity calculation model 202 is also used to determine the capacity calculation model according to the type of storage tank, wherein the types of storage tanks include vertical storage tanks, horizontal storage tanks and spherical storage tanks, and the capacity calculation model is constructed based on the volume of the storage tank, the volume correction coefficient, the volume temperature coefficient, and the water content and density corresponding to the chemical material.

[0045] The volume correction factor can be used to convert the volume of the material in the tank to the volume under standard conditions according to the measurement temperature and the standard density. The volume temperature coefficient can be used to represent the characteristics of the volume of the material in the tank changing with temperature. The water content can be the water content of the chemical material in the tank. The density can be the ratio of the mass to the volume of the chemical material under specific conditions.

[0046] Specifically, the tank quantity calculation model constructs a corresponding capacity calculation model based on the type of storage tank (such as vertical storage tank, horizontal storage tank and spherical storage tank), the volume of the corresponding storage tank, the volume correction coefficient, the volume temperature coefficient, and the corresponding water content and density of the chemical material.

[0047] It is easy to understand that, through the above-mentioned chemical product output statistics device, on the one hand, in the embodiment of the present application, the tank quantity calculation model adopts the corresponding capacity calculation model for different types of storage tanks, avoiding the calculation error caused by the difference in the storage tank structure, and ensuring the accuracy of the calculation result of the capacity calculation model; on the other hand, in the embodiment of the present application, the volume of the storage tank, the volume correction coefficient, the volume temperature coefficient, and the water content and density corresponding to the chemical product material are comprehensively considered to construct the capacity calculation model. The constructed capacity calculation model can more accurately calculate the actual capacity of the chemical product material in the storage tank, reduce the calculation deviation caused by the change of material characteristics, and improve the accuracy of the calculation result of the capacity calculation model. Therefore, the accuracy of the chemical product output statistics scheme in the embodiment of the present application is higher.

[0048] Optionally, the chemical product output statistics device also includes a device correction model ( Figure 2 The device correction model is used to perform error correction calculations on the instrument measurement data corresponding to the device side line in the real-time data to obtain the input-output data corresponding to the device side line.

[0049] The above-mentioned instrument measurement data can be data (such as material flow, liquid level, temperature, pressure, etc.) collected in real time by instrument equipment (such as flow meter equipment, liquid level meter equipment, thermometer equipment, pressure gauge equipment, etc.) installed in the side line of the device, storage tanks, loading and unloading platforms, etc. in the chemical production line. The instrument measurement data can be used to monitor and measure the production, storage and transportation processes of chemicals.

[0050] Specifically, the device correction model obtains the instrument measurement data corresponding to the device side line in the real-time database system, analyzes and determines whether there is error data in the instrument measurement data (such as sudden changes in data, fluctuation data beyond the normal range, long-term zero readings, etc.), and performs error correction calculations on the error data to obtain the input-output data corresponding to the device side line.

[0051] It is easy to understand that through the above-mentioned chemical product output statistics device, in the embodiment of the present application, the device correction model is used to identify and correct the error data in the instrument measurement data, thereby improving the accuracy of the instrument measurement data, thereby improving the accuracy of the chemical product output statistics plan.

[0052] Optionally, the device correction model is also used to correct and update the input-output data according to the balance rules corresponding to multiple nodes, wherein the balance rules include: tank inventory benchmark rules, inbound and outbound benchmark rules, mutual supply benchmark rules, recipient benchmark rules, device indicator constraint rules, single-path priority rules, and allocation rules combining the accuracy of side face nodes and the amount of side line nodes.

[0053] The above-mentioned balance rules can be a series of guiding rules for maintaining material balance, and the balance rules can be used to assist in correcting and adjusting data. The above-mentioned tank inventory benchmark rules can be used to assist in determining the standard reference point in the process of chemical material balance calculation. The above-mentioned inbound and outbound benchmark rules can be used to assist in determining the inbound and outbound conditions of chemical materials. The above-mentioned mutual supply benchmark rules can be used to assist in calculating internal material cycles. The above-mentioned receiving party benchmark rules can be used to assist in adjusting the benchmark of receiving party measurement data. The above-mentioned device indicator constraint rules can be used to assist in adjusting the performance indicators of the device. The above-mentioned single-channel priority rules can be used to assist in the allocation and correction of material quantities. The above-mentioned allocation rules combining the accuracy of the side face node and the side line node quantity can be used to assist in error allocation calculations.

[0054] It is easy to understand that, through the above-mentioned chemical product output statistics device, in the embodiment of the present application, by utilizing the balance rule, the input-output data of multiple nodes can be corrected and updated, which more accurately reflects the actual flow of materials in the production system and ensures the consistency and accuracy of the material data. Therefore, the accuracy of the chemical product output statistics solution in the embodiment of the present application is higher.

[0055] Optionally, the chemical product output statistics device further includes a material movement relationship module ( Figure 2 The material movement relationship module is used to track the movement process of chemical materials according to the payment and receipt data, determine the movement relationship corresponding to multiple nodes, and build a physical topology model based on the movement relationship, wherein the movement relationship is used to characterize the movement type, source node, target node, source material type and target material type of chemical materials when they move between multiple nodes.

[0056] The material movement relationship module may be a module responsible for analyzing and recording the movement trajectory of materials during the production process (such as the source, destination, movement type, etc. of the materials).

[0057] Specifically, the material movement relationship module can identify and track the movement of chemical materials from one node to another by analyzing the payment and receipt data. For example, the material movement relationship module can track the movement path of materials from the raw material warehouse to the production device, then to the intermediate storage tank, and finally to the finished product warehouse.

[0058] Furthermore, the material movement relationship module will determine the specific relationship of material movement based on the tracking of the movement process, such as the type of movement (such as feeding, discharging, internal transfer, etc.), source node (i.e. the starting point of material movement), target node (i.e. the end point of material movement), source material type (i.e. the type of initial material) and target material type (i.e. the type of material that arrives at the target node after processing or mixing).

[0059] Furthermore, the material movement relationship module uses the determined movement relationship to construct a physical topology model of the entire chemical production line.

[0060] It is easy to understand that through the above-mentioned chemical product output statistics device, in the embodiment of the present application, through automatic analysis of payment and receipt data, the material movement relationship module can accurately record and track each movement process of the material, and determine the movement relationship corresponding to the movement process, thereby reducing dependence on manual labor and being able to more accurately record the movement process and movement relationship of chemical materials.

[0061] Optionally, the data integration platform 203 is also used to take inventory of the data stored in the real-time database system 201 according to data access events and preset statistical periods, and generate storage tank payment and receipt ledgers and inventory measurement data corresponding to the preset statistical periods.

[0062] The above-mentioned data access event can be a specific event that triggers the data integration platform to extract data from the real-time database system. The data access event can be determined at a fixed time, periodically (such as a specific time point every week or month), or based on operations (such as tank measurement, material transfer, etc.). The above-mentioned preset statistical period can be determined based on production management and reporting requirements. The above-mentioned storage tank receipt and payment ledger can be used to indicate the material receipt and payment situation of the storage tank within the preset statistical period. The storage tank receipt and payment ledger may include information such as receipt and payment time, material type, receipt and payment quantity, etc. The above-mentioned inventory measurement data can be used to indicate the material inventory of the storage tank at the end of the statistical period.

[0063] Specifically, within the preset statistical period, the data integration platform will take inventory of the data stored in the real-time database system according to the data access events. The data integration platform automatically generates the storage tank payment and receipt ledger and inventory measurement data corresponding to the preset statistical period based on the inventory results of the data stored in the real-time database system, which is convenient for production management personnel to review and manage.

[0064] It is easy to understand that through the above-mentioned chemical product output statistics device, in the embodiment of the present application, the data integration platform can automatically perform data inventory according to the preset statistical cycle and data access events, and automatically generate the process of storage tank receipt and payment ledgers and inventory measurement data, thereby ensuring the real-time update and high precision of the storage tank receipt and payment ledgers and inventory measurement data, and improving the timeliness and accuracy of chemical product output statistics.

[0065] Optionally, the data access event is triggered by a real-time data access service and / or a test analysis service provided by the data integration platform 203 .

[0066] The above-mentioned chemical analysis service can be used to access the chemical analysis results (such as the composition, density, viscosity, etc. of the chemical material) stored in the real-time database system.

[0067] It is easy to understand that through the above-mentioned chemical product output statistics device, in the embodiment of the present application, the trigger mechanism of the real-time data access service and / or the test and analysis service is utilized to ensure the real-time nature of data access, so that the storage tank receipt and payment ledger, inventory measurement data and test and analysis results can be updated in a timely manner, thereby improving the accuracy of production statistics and quality control.

[0068] In an exemplary application scenario, Figure 3 FIG. 1 is a flow chart of an optional tank quantity calculation according to an embodiment of the present application. Figure 3As shown, a real-time database is used to collect real-time data of the on-site chemical production line; the real-time data is sent to the tank quantity calculation model, and the tank quantity calculation model determines the density, temperature, and water content (i.e., moisture) corresponding to the chemical material, and combines the volume, volume correction coefficient, and volume temperature coefficient of the storage tank to build a capacity calculation model. The capacity calculation model calculates the tank capacity table and real-time data according to the operation events corresponding to the various operations of the chemical production line (such as storage tank receipt and payment, shift inspection, re-measurement, and storage tank inspection) or operation shifts to obtain the tank capacity information. Furthermore, the data integration platform is used to integrate the real-time tank inspection data (such as Figure 4 As shown, Figure 4 is an optional record of real-time tank gauge data according to the embodiment of the present application) and test analysis data to generate a production, sales and inventory data report of the chemical production line (such as Figure 5 As shown, Figure 5 It is a record chart of an optional petrochemical product production, sales and inventory data report according to an embodiment of the present application).

[0069] Furthermore, the material movement relationship module can track the movement process of chemical materials based on the payment and receipt data, analyze the movement relationship based on the movement process, confirm the material information and source and destination, and thus determine the difference in the amount of material movement. In addition, the data integration platform can also provide real-time data access services and laboratory analysis data access services to provide data management services such as storage tank payment and receipt data or display the tank storage records required within the statistical period.

[0070] In an exemplary application scenario, Figure 3 As shown, the tank capacity calculation model is based on the type of storage tank. The process of constructing the capacity calculation model is completed through the following steps.

[0071] The tank quantity calculation model obtains real-time data from the real-time database system, determines the type of storage tank (such as vertical tank, horizontal tank, spherical tank), and builds a capacity calculation model based on the volume, volume correction coefficient, volume temperature coefficient of the storage tank corresponding to the determined tank type, and the water content and density of the chemical material.

[0072] The capacity calculation model corresponding to the vertical tank is shown in formula (1).

[0073] (VT*VCF*VTF*ρ-G)*(1-Cw / 100) Formula (1)

[0074] In formula (1), VT represents the volume of the tank, which is determined based on the real-time data in the real-time database system and the tank capacity table, VTF represents the volume temperature coefficient, VCF represents the volume correction factor, Cw represents the water content, and ρ represents the material density of the chemical product.

[0075] The above VCF can be determined by the following steps: the temperature takes the nearest temperature of the incoming temperature, and performs two-point interpolation on the density; interpolate the temperature and density separately, obtain the nearest upper and lower temperatures, and then take the upper and lower densities of these two temperatures respectively, and then perform four-point interpolation; if the density exceeds the maximum density of the VCF table, subtract the maximum density from the density to obtain the difference, and then subtract the difference from the maximum density to obtain a small density value, interpolate and calculate the VCF value corresponding to the small density, and use the VCF value corresponding to the maximum density and the VCF value corresponding to the small density to interpolate and calculate the VCF value corresponding to the incoming density. Among them, the interpolation rule of the above VCF can be: rounding the temperature, interval 1, and rounding the density to 10, and then use the incoming temperature and density within this range for 4-point interpolation.

[0076] The capacity calculation model corresponding to the horizontal tank is shown in formula (2).

[0077] (VT*VCF*VTF*ρ)*(1-Cw / 100) Formula (2)

[0078] The capacity calculation model corresponding to the spherical tank is shown in formula (3).

[0079] VT*ρ20*(1-Cw / 100) Formula (3)

[0080] In formula (3), ρ20 represents the material density of chemical products at 20°C as specified by the national standard.

[0081] It should be noted that the calculation methods of the above VTF are different under different conditions. Among them, the VTF corresponding to the insulated vertical tank / horizontal tank can be calculated by formula (4), the VTF corresponding to the non-insulated vertical tank / horizontal tank can be calculated by formula (5), and the spherical tank can be calculated by formula (6).

[0082] VTF = 1 + 0.000036 * (T -20) Formula (4)

[0083] In formula (4), T represents the temperature of the liquid in the tank.

[0084] VTF=1+0.000024*((T+Tq) / 2-20) Formula (5)

[0085] In formula (5), Tq represents the ambient temperature.

[0086] VTF=1+0.000036*((T+ Tq) / 2-20)) Formula (6)

[0087] It should be noted that the above modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0088] In an exemplary application scenario, Figure 3 The material balance process can include the following steps.

[0089] The device correction model is used to perform error correction calculations on the instrument measurement data corresponding to the device side line in the real-time data automatically collected or manually entered by the real-time database system, and the input-output data corresponding to the device side line is obtained. The input-output data is corrected according to the balance rules corresponding to multiple nodes to eliminate abnormal input-output data and update the input-output data. Furthermore, the device payment and receipt operations are performed according to the scheduling instructions, and the material movement relationship module is used to create / close the device payment and receipt relationship in the system, and the device correction calculation results and the device payment and receipt operations are closed and submitted to provide a data source for scheduling balance.

[0090] The above-mentioned balancing rules may include: tank inventory benchmark (such as tank inventory and tank quantity adjustment criteria); inbound and outbound benchmark (such as the adjustment criteria corresponding to the inbound and outbound point shift quantity set to 100% accuracy); mutual supply benchmark (such as the adjustment criteria corresponding to the mutual supply point shift quantity set to 100% accuracy); recipient benchmark (such as the criteria for determining the recipient measurement as the standard when the accuracy is not defined); device indicator constraints (such as constraints corresponding to the yield / unit consumption), allocation based on the side line node accuracy and side line node quantity, and single-path priority rules (such as, when the high-accuracy node is in a single-receiving or single-paying state, the movement volume related to it is allocated first).

[0091] In an exemplary application scenario, Figure 3 As shown in the figure, the mobile relationship analysis process can be completed through the following steps. Using the material mobile relationship module, the movement process of chemical materials is tracked according to the payment and receipt data (such as the operation records of each shift device, storage tank, in and out of the factory, and inter-departmental supply), and the movement process is analyzed to determine the mobile relationship corresponding to multiple nodes (such as the movement type, source node, target node, source material type, and target material type when moving between multiple nodes). Based on the mobile relationship, a physical topology model is constructed to analyze the mobile relationship, review the integrity of the operation record, and verify the rationality of the operation record.

[0092] In the embodiment of the present application, the real-time database system is used to collect and record the real-time data of the chemical production line, wherein the multiple nodes of the chemical production line include: the device side line, the storage tank, the loading and unloading platform and the mutual supply unit, and the real-time data include: the input data of the device side line, the measurement data, temperature data, test analysis data and quality status data of the storage tank, and the payment data between multiple nodes; the tank volume calculation model is used to calculate based on the tank capacity table and real-time data to obtain the capacity information of the storage tank; the data integration platform is used to integrate at least part of the capacity information and real-time data according to the physical topology model corresponding to multiple nodes, and generate the production, sales and inventory data report of the chemical production line. Thus, the present application achieves the purpose of more accurately counting the output of chemical products, thereby achieving the technical effect of improving the accuracy and efficiency of the statistical scheme of chemical product output, and then solves the problem of low accuracy and low efficiency of the statistical scheme of chemical product output in the related technology.

[0093] According to another aspect of the embodiment of the present application, a method for calculating chemical product output is also provided. Figure 6 is a flow chart of a method for calculating chemical product output according to an embodiment of the present application, such as Figure 6 As shown, the method includes the following implementation steps:

[0094] Step S601, collecting and recording real-time data of the chemical product production line, wherein the multiple nodes of the chemical product production line include: device side line, storage tank, loading and unloading platform and mutual supply unit, and the real-time data includes: input data of the device side line, measurement data, temperature data, test analysis data and quality status data of the storage tank, and payment data between multiple nodes;

[0095] Step S602, calculating based on the tank capacity table and real-time data to obtain the capacity information of the storage tank;

[0096] Step S603, integrating the capacity information and at least part of the real-time data according to the physical topology model corresponding to the multiple nodes, and generating a production, sales and inventory data report of the chemical product production line.

[0097] In an embodiment of the present application, real-time data of a chemical production line is collected and recorded, wherein multiple nodes of the chemical production line include: a device side line, a storage tank, a loading and unloading platform, and a mutual supply unit, and real-time data includes: input data of the device side line, measurement data, temperature data, test analysis data, and quality status data of the storage tank, as well as payment and receipt data between multiple nodes; based on the tank capacity table and real-time data, calculations are performed to obtain capacity information of the storage tank; according to the physical topology model corresponding to multiple nodes, at least part of the capacity information and real-time data are integrated to generate a production, sales, and inventory data report for the chemical production line. Thus, the present application achieves the purpose of more accurately counting the output of chemical products, thereby achieving the technical effect of improving the accuracy and efficiency of the statistical scheme for chemical product output, and thus solving the technical problems of low accuracy and low efficiency of the statistical scheme for chemical product output in the related art.

[0098] According to another aspect of the embodiment of the present application, a computer-readable storage medium is provided, the storage medium including a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to execute any one of the aforementioned chemical product output statistics methods.

[0099] Optionally, in this embodiment, the storage medium can be configured to store a computer program for executing the following steps: collecting and recording real-time data of a chemical product production line, wherein the multiple nodes of the chemical product production line include: a device side line, a storage tank, a loading and unloading platform, and a mutual supply unit, and the real-time data include: input data of the device side line, measurement data, temperature data, laboratory analysis data, and quality status data of the storage tank, and payment and receipt data between multiple nodes; calculating based on the tank capacity table and real-time data to obtain capacity information of the storage tank; integrating the capacity information and at least part of the real-time data according to the physical topology model corresponding to the multiple nodes to generate a production, sales, and inventory data report for the chemical product production line.

[0100] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store computer programs.

[0101] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiment and its optional implementation manners, which will not be described in detail here.

[0102] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0103] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0104] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0105] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0106] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0107] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can essentially or in other words contribute to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, ROM, RAM, mobile hard disks, magnetic disks or optical disks.

[0108] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A chemical product output statistics device, characterized in that: include: A real-time database system, used to collect and record real-time data of a chemical product production line, wherein the multiple nodes of the chemical product production line include: a device side line, a storage tank, a loading and unloading platform, and a mutual supply unit, and the real-time data includes: input data of the device side line, measurement data, temperature data, test analysis data, and quality status data of the storage tank, and payment and receipt data between the multiple nodes; A tank capacity calculation model, used to calculate based on the tank capacity table and the real-time data to obtain the capacity information of the storage tank; A data integration platform is used to integrate the capacity information and at least part of the real-time data according to the physical topology model corresponding to the multiple nodes, and generate a production, sales and inventory data report of the chemical product production line.

2. The chemical product output statistics device according to claim 1, characterized in that: The tank quantity calculation model is also used to calculate the tank capacity table and the real-time data using the capacity calculation model according to the operation events or operation shifts corresponding to the various operations of the chemical product production line to obtain the capacity information.

3. The chemical product output statistics device according to claim 2, characterized in that: The tank quantity calculation model is also used to determine the capacity calculation model according to the type of the storage tank, wherein the types of the storage tank include vertical storage tanks, horizontal storage tanks and spherical storage tanks, and the capacity calculation model is constructed based on the volume of the storage tank, the volume correction coefficient, the volume temperature coefficient, and the water content and density corresponding to the chemical material.

4. The chemical product output statistics device according to claim 1, characterized in that: The chemical product output statistics device also includes a device correction model, which is used to perform error correction calculations on the instrument measurement data corresponding to the device side line in the real-time data to obtain input-output data corresponding to the device side line.

5. The chemical product output statistics device according to claim 4, characterized in that: The device correction model is also used to correct and update the input-output data according to the balance rules corresponding to the multiple nodes, wherein the balance rules include: tank inventory benchmark rules, inbound and outbound benchmark rules, mutual supply benchmark rules, recipient benchmark rules, device indicator constraint rules, single-path priority rules, and allocation rules combining side face node accuracy and side line node quantity.

6. The chemical product output statistics device according to claim 1, characterized in that: The chemical product output statistics device also includes a material movement relationship module, which is used to track the movement process of chemical materials according to the payment and receipt data, determine the movement relationship corresponding to the multiple nodes, and construct the physical topology model based on the movement relationship, wherein the movement relationship is used to characterize the movement type, source node, target node, source material type and target material type of the chemical material when it moves between the multiple nodes.

7. The chemical product output statistics device according to claim 1, characterized in that: The data integration platform is also used to take inventory of the data stored in the real-time database system according to data access events and preset statistical periods, and generate storage tank payment and receipt ledgers and inventory measurement data corresponding to the preset statistical periods.

8. The chemical product output statistics device according to claim 7, characterized in that: The data access event is generated by triggering the real-time data access service and / or the laboratory analysis service provided by the data integration platform.

9. A method for calculating chemical product output statistics, characterized in that: include: Collect and record real-time data of a chemical production line, wherein the multiple nodes of the chemical production line include: a device side line, a storage tank, a loading and unloading platform, and a mutual supply unit, and the real-time data includes: input data of the device side line, measurement data, temperature data, laboratory analysis data, and quality status data of the storage tank, and payment and receipt data between the multiple nodes; Calculate based on the tank capacity table and the real-time data to obtain the capacity information of the storage tank; According to the physical topology models corresponding to the multiple nodes, the capacity information and at least part of the real-time data are integrated to generate a production, sales and inventory data report for the chemical product production line.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to implement the chemical product output statistics method in claim 9.

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