A chemical production data real-time monitoring and intelligent analysis system and method

Abstract

The present application relates to the field of chemical production monitoring and analysis, in particular to a chemical production data real-time monitoring and intelligent analysis system and method; the method comprises the following steps: obtaining chemical production data, constructing a chemical production network according to the chemical production data; obtaining real-time production signal data of the chemical production network, analyzing the chemical production network, obtaining task production value, cycle usage degree and production cycle, analyzing the production cycle, obtaining expected production value, obtaining task monitoring signals according to the expected production value and the task production value; analyzing the chemical process node, the production node and the task production value through the chemical production network, obtaining process production value, obtaining production process signals according to the process production value and the chemical process node; generating a chemical production management strategy according to the task monitoring signals and the production process signals. The present application can improve the safety of chemical production.

Description

Technical Field

[0001] This invention relates to the field of chemical production monitoring and analysis, specifically to a real-time monitoring and intelligent analysis system and method for chemical production data. Background Technology

[0002] With the continuous development of the chemical industry, the complexity and scale of production processes are constantly increasing, and the requirements for safety, stability, environmental protection and economy in chemical production are becoming higher and higher. Therefore, the demand for real-time monitoring and intelligent analysis of production processes is also gradually increasing. Chemical production processes usually involve continuous or intermittent reactions, complex heat and mass transfer, and coordinated control between multiple links, and are extremely sensitive to process parameters such as temperature, pressure, flow rate and concentration.

[0003] Traditional management methods that rely on manual inspections and experience-based judgment are no longer sufficient to meet the requirements of modern production for safety, stability, and efficiency. In chemical production processes, unexpected situations, various problems, and trends in the production process cause changes in the production cycle of each process, which in turn cause changes in the control time of chemical reactions produced during the production cycle, resulting in safety issues in the chemical production process and affecting stable chemical production. This is a problem that we need to solve. Summary of the Invention

[0004] The purpose of this invention is to address the problems existing in the background technology by proposing a method for real-time monitoring and intelligent analysis of chemical production data.

[0005] The technical solution of this invention: a method for real-time monitoring and intelligent analysis of chemical production data, comprising the following steps:

[0006] S1. Obtain chemical production data, analyze the chemical production data, and construct a chemical production network;

[0007] S2. Obtain real-time production signal data of the chemical production network, analyze the chemical production network to obtain task production value, cycle utilization and production cycle, analyze the production cycle to obtain expected production value, analyze the expected production value and task production value to obtain task monitoring signals.

[0008] S3. Analyze the chemical process nodes, production nodes, and task production values ​​through the chemical production network to obtain the process production value. Analyze the process production value and chemical process nodes to obtain the production process signal.

[0009] S4. Analyze task monitoring signals and production process signals to generate chemical production management strategies, and manage the chemical production process through these strategies.

[0010] Preferably, the process of acquiring chemical production data, analyzing the chemical production data, and constructing a chemical production network includes:

[0011] Chemical production data includes production process data, process batches, and chemical production signal data;

[0012] Production process data includes chemical process data and process numbers; chemical process data includes data for chemical process one, chemical process two, chemical process three, chemical process four, and chemical process five.

[0013] Chemical production signal data includes flow rate electrical signal data, temperature electrical signal data, pressure electrical signal data, and pH electrical signal data;

[0014] The chemical process data includes several process task data. Consecutive identical process task data are grouped together and denoted as task group data. The production process data of the same batch are analyzed to construct a chemical production network.

[0015] Preferably, the process of analyzing production process data from batches within the same process to construct a chemical production network includes:

[0016] The first task process data within the task group data is designated as the critical task process data. Based on the critical task process data and the task process data, production nodes and production sub-nodes are constructed. Chemical process nodes are constructed using the chemical process data corresponding to the chemical process data in the production process data. The task relationships between production nodes and production sub-nodes are constructed using the task group data, and the process relationships between chemical process nodes and production nodes are constructed using the production process data. Based on the process relationships and task relationships, the production nodes, production sub-nodes, and chemical process nodes are linked to construct a chemical production network.

[0017] Preferably, the process of analyzing the chemical production network to obtain the task production value, cycle utilization, and production cycle, analyzing the production cycle to obtain the expected production value, and analyzing the expected production value and the task production value to obtain the task monitoring signal is as follows:

[0018] Set a reference process cycle;

[0019] Real-time production signal data includes real-time flow electrical signal data, real-time temperature electrical signal data, real-time pressure electrical signal data, and real-time pH electrical signal data;

[0020] Obtain the process time and production progress of the production sub-nodes, and obtain the task production value based on the process time and production progress of the production sub-nodes.

[0021] The reference process cycle is set as the monitoring cycle. The real-time production signals of each task group in the production process data are analyzed through the monitoring cycle. The amplitude and cycle length of the real-time flow electrical signal data, real-time temperature electrical signal data, real-time pressure electrical signal data, and real-time pH electrical signal data in the real-time production signal data are obtained respectively. Based on the amplitude and cycle length of the real-time production signal data, the cycle utilization of the production node and the production cycle are obtained.

[0022] The production cycle of production nodes is analyzed, and the expected production value is obtained based on the production cycle and production progress; the task production value and expected production value of production nodes are analyzed to obtain task monitoring signal one, task monitoring signal two and task monitoring signal three.

[0023] Preferably, the process of obtaining process production value by analyzing chemical process nodes, production nodes, and task production values ​​through a chemical production network includes:

[0024] By analyzing each chemical process node in the same batch through the chemical production network, the total number of production nodes connected within the same chemical process node in the same batch and their task production value are obtained; based on the task production value and total number of production nodes connected within each chemical process node in the same batch, the process production value of the chemical process is obtained.

[0025] Preferably, the process of analyzing process production values ​​and chemical process nodes to obtain production process signals includes:

[0026] By analyzing the task monitoring signals, the process nodes corresponding to all chemical processes in the same batch are analyzed; the process status of the chemical processes is obtained; the process status of all chemical processes in the same batch is summarized according to the chemical process sequence to obtain the chemical process code.

[0027] By analyzing the process production value of each chemical process through chemical process coding, production process signal 1, production process signal 2, production process signal 3 and production process signal 4 are obtained.

[0028] Preferably, the process of analyzing task monitoring signals and production process signals to generate chemical production management strategies, and then managing the chemical production process using these strategies, includes:

[0029] When task monitoring signal one is generated, no chemical production management is required; when task monitoring signal two or task monitoring signal three is generated, the status of the corresponding production node is marked as "task process abnormal", and the "task process abnormal" status of the production node is sent to the chemical production supervisor to obtain the chemical production management strategy.

[0030] When production process signal one is generated, no chemical production management is required; when production process signal two, three, or four is generated, the status of the corresponding chemical process node is marked as "process abnormal" and the "process abnormal" status of the chemical process node is sent to the chemical production supervisor to obtain the chemical production management strategy, and the chemical production process is managed through the obtained chemical production management strategy.

[0031] This invention also discloses a real-time monitoring and intelligent analysis system for chemical production data, including a management center, which is communicatively connected to a data acquisition module, a data analysis module, a data processing module, and a production management module.

[0032] The data acquisition module is used to acquire chemical production data, analyze the chemical production data, and construct a chemical production network;

[0033] The data analysis module is used to acquire real-time production signal data of the chemical production network, analyze the chemical production network to obtain task production value, cycle utilization and production cycle, analyze the production cycle to obtain expected production value, and analyze the expected production value and task production value to obtain task monitoring signal period.

[0034] The data processing module is used to analyze chemical process nodes, production nodes, and task production values ​​through the chemical production network to obtain process production values, and to analyze process production values ​​and chemical process nodes to obtain production process signals.

[0035] The production management module is used to analyze task monitoring signals and production process signals, generate chemical production management strategies, and manage the chemical production process through these strategies.

[0036] Compared with the prior art, the above-mentioned technical solution of the present invention has the following beneficial technical effects:

[0037] This system acquires and intelligently monitors chemical production data to reduce human error and improve production efficiency. It enhances monitoring efficiency through a chemical production network. Analyzing real-time production signals and the network yields task production values, cycle usage, and production cycles. Analyzing key process cycles helps identify real-time anomalies and trends by analyzing expected and task production values, generating task monitoring signals, and improving product quality stability. Furthermore, analyzing process production values ​​and nodes within the network helps identify real-time anomalies and trends, allowing for timely shutdown of abnormal processes, reducing costs and energy consumption, and generating production process signals. Finally, it enhances production safety and early warning capabilities through task monitoring and production process signals, enabling refined control of the chemical production process. Based on the analysis of task status at each process stage, it analyzes the process itself, improving the comprehensiveness of chemical production process analysis, enhancing product quality stability, and contributing to chemical process optimization and production management. Attached Figure Description

[0038] Figure 1 This is a schematic diagram of one embodiment of the present invention. Detailed Implementation

[0039] Example 1, as Figure 1 As shown, the present invention proposes a method for real-time monitoring and intelligent analysis of chemical production data, comprising the following steps:

[0040] S1. Obtain chemical production data, analyze the chemical production data, and construct a chemical production network;

[0041] S2. Obtain real-time production signal data of the chemical production network, analyze the chemical production network to obtain task production value, cycle utilization and production cycle, analyze the production cycle to obtain expected production value, analyze the expected production value and task production value to obtain task monitoring signals.

[0042] S3. Analyze the chemical process nodes, production nodes, and task production values ​​through the chemical production network to obtain the process production value. Analyze the process production value and chemical process nodes to obtain the production process signal.

[0043] S4. Analyze task monitoring signals and production process signals to generate chemical production management strategies, and manage the chemical production process through these strategies.

[0044] It should be further explained that, in the specific implementation process, the process of acquiring chemical production data, analyzing the chemical production data, and constructing the chemical production network is as follows:

[0045] An industrial data acquisition unit is set up, which contains a variety of industrial sensors for acquiring chemical production data.

[0046] The chemical production data includes production process data, process batches, and chemical production signal data.

[0047] The production process data refers to the process flow of chemical production, including chemical process data and process numbers; the chemical process data includes data for chemical process one, chemical process two, chemical process three, chemical process four, and chemical process five; the process numbers include one, two, three, four, and five.

[0048] It should be further explained that, in the specific implementation process, the specific processes of the chemical process data, namely, chemical process one data, chemical process two data, chemical process three data, chemical process four data and chemical process five data, respectively refer to raw material preparation, chemical reaction, separation and purification, product processing and packaging and warehousing.

[0049] The chemical production signal data includes flow rate electrical signal data, temperature electrical signal data, pressure electrical signal data, and pH electrical signal data;

[0050] The chemical process data includes several process task data. Consecutive identical process task data are grouped together and referred to as task group data. The task group data refers to the same process task data corresponding to process batches of multiple chemical production processes.

[0051] Analyze the production process data of the same batch, and designate the first task process data within the task group data as the critical task process data. Based on the critical task process data and the task process data, construct production nodes and production sub-nodes. Store the critical task process data in the starting production node and store the task process data in the corresponding production sub-nodes. Construct chemical process nodes based on the chemical processes corresponding to the chemical process data in the production process data, and mark the process batches within the chemical process nodes. The chemical process nodes include Class I, Class II, Class III, Class IV, and Class V process nodes. Construct task relationships between production nodes and production sub-nodes using the task group data, and construct process relationships between chemical process nodes and production nodes using the production process data. Based on the process relationships and task relationships, link the production nodes, production sub-nodes, and chemical process nodes to construct a chemical production network.

[0052] It needs further explanation that, in the specific implementation process, the process of acquiring real-time production signal data from the chemical production network, analyzing the chemical production network to obtain task production value, cycle utilization, and production cycle, analyzing the production cycle to obtain expected production value, and analyzing the expected production value and task production value to obtain task monitoring signals is as follows:

[0053] Set a reference process cycle; the reference process cycle refers to the reference time corresponding to the data of each task group within each chemical process, including the reference process cycle of the data of each task group within the chemical process data.

[0054] The real-time production signal data includes real-time flow electrical signal data, real-time temperature electrical signal data, real-time pressure electrical signal data, and real-time pH electrical signal data;

[0055] Obtain the process time and production progress of the production sub-nodes; the process time refers to the time for each production sub-node to execute its task; the production progress refers to the progress of the production sub-nodes associated with the production node in executing their tasks.

[0056] Based on the process time and production progress of the production sub-nodes, obtain the task production value Du. v ;

[0057]

[0058] Among them, Du v The production value is generated for the task of production node v, where v is the production node number; g j The production progress of the production child nodes linked to the production node; t j s represents the process time of the production sub-nodes linked to the production node; s represents the number of production sub-nodes linked to the production node.

[0059] The reference process cycle is set as the monitoring cycle. The real-time production signals of each task group in the production process data are analyzed through the monitoring cycle. The amplitude and cycle length of the real-time flow electrical signal data, real-time temperature electrical signal data, real-time pressure electrical signal data, and real-time pH electrical signal data in the real-time production signal data are obtained respectively.

[0060] Based on the amplitude and period length of the real-time production signal data, the period utilization Zs of the production node is obtained. v and production cycle Sr v ;

[0061]

[0062] Sr v =Zs v *CJ v ;

[0063] Among them, A e1 A e2 A e3 A e4 These represent the amplitudes of real-time flow rate electrical signal data, real-time temperature electrical signal data, real-time pressure electrical signal data, and real-time pH electrical signal data, respectively; T e1 T e2 T e3 T e4 These represent the period lengths of real-time flow electrical signal data, real-time temperature electrical signal data, real-time pressure electrical signal data, and real-time pH electrical signal data, respectively; Zs v Cycle usage for production nodes; CJ v For reference process cycle;

[0064] Production cycle Sr of production nodes v The analysis was conducted, and the production cycle Sr was... v The expected production value Y is obtained by calculating the ratio to 100% of the production progress. v ;Du, the task production value of the production node v and expected production value Y v Analysis was conducted to determine the production value Du of the production node's task. v Compared with expected production value Y v When the ratio is equal to 1, task monitoring signal one is generated; when the ratio of the task production value to the expected production value of a production node is greater than 1, task monitoring signal two is generated; when the ratio of the task production value to the expected production value of a production node is less than 1, task monitoring signal three is generated.

[0065] It should be further explained that, in the specific implementation process, the chemical production network is used to analyze chemical process nodes, production nodes, and task production values ​​to obtain process production values. The process of analyzing these process production values ​​and chemical process nodes to obtain production process signals is as follows:

[0066] By analyzing the chemical production network, the total number of interconnected production nodes within the same chemical process batch and the task production value Du are obtained. v ; The task production value Du of each linked production node within the same batch of chemical processes v The process production value of the chemical process is obtained by calculating the ratio of the sum to the total quantity.

[0067] Analyze each chemical process node corresponding to all chemical processes in the same batch; when all task monitoring signals generated in the chemical process node corresponding to the chemical process are task monitoring signal one, the process status of the corresponding chemical process is marked as "1"; when there are task monitoring signals two or three generated in the chemical process node corresponding to the chemical process, the process status of the corresponding chemical process is marked as "0".

[0068] The process status of all chemical processes in the same batch is summarized according to the sequence of chemical processes to obtain the chemical process code;

[0069] When all chemical process codes consist of "1", the process production value of each chemical process is analyzed. If the process production values ​​of each chemical process are equal, then production process signal one is generated; if the process production values ​​of each chemical process are not completely equal or not equal at all, then production process signal two is generated.

[0070] When the chemical process code contains "0", the process production value of each chemical process is analyzed. If the process production values ​​of each chemical process are equal, then production process signal three is generated; if the process production values ​​of each chemical process are not completely equal or not equal at all, then production process signal four is generated.

[0071] It should be further explained that, in the specific implementation process, the analysis of task monitoring signals and production process signals to generate chemical production management strategies, and the management of the chemical production process through these strategies, are as follows:

[0072] When a task monitoring signal is generated, the task execution progress of the corresponding production node is normal, no chemical production management is required, and the production status continues to be monitored.

[0073] When task monitoring signal two or task monitoring signal three is generated, the task execution progress of the corresponding production node is abnormal. The status of the corresponding production node is marked as "task process abnormal". The "task process abnormal" status of the production node is sent to the chemical production supervisor to stop the task of the production node, investigate the cause of the abnormality, and re-execute the stop task after the normal status is restored to obtain the chemical production management strategy.

[0074] When production process signal one is generated, the corresponding chemical process is progressing normally, no chemical production management is required, and production status should continue to be monitored.

[0075] When production process signal two, three, or four is generated, the corresponding chemical process execution progress is abnormal. The status of the corresponding chemical process node is marked as "process abnormal" and the "process abnormal" status of the chemical process node is sent to the chemical production supervisor. The task of the chemical process node is stopped, the cause of the abnormality is investigated, and the stop task is re-executed after the normal status is restored. The chemical production management strategy is obtained and the chemical production process is managed through the obtained chemical production management strategy.

[0076] Example 2: The real-time monitoring and intelligent analysis system for chemical production data proposed in this invention is applied to the real-time monitoring and intelligent analysis method for chemical production data described in Example 1. Specifically, it includes a management center, which is communicatively connected to a data acquisition module, a data analysis module, a data processing module, and a production management module.

[0077] The data acquisition module is used to acquire chemical production data, analyze the chemical production data, and construct a chemical production network;

[0078] The data analysis module is used to acquire real-time production signal data of the chemical production network, analyze the chemical production network to obtain task production value, cycle utilization and production cycle, analyze the production cycle to obtain expected production value, and analyze the expected production value and task production value to obtain task monitoring signal period.

[0079] The data processing module is used to analyze chemical process nodes, production nodes, and task production values ​​through the chemical production network to obtain process production values, and to analyze process production values ​​and chemical process nodes to obtain production process signals.

[0080] The production management module is used to analyze task monitoring signals and production process signals, generate chemical production management strategies, and manage the chemical production process through these strategies.

[0081] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited thereto. Various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention.

Claims

1. A method for real-time monitoring and intelligent analysis of chemical production data, characterized in that, Includes the following steps: S1. Obtain chemical production data, analyze the chemical production data, and construct a chemical production network; S2. Acquire real-time production signal data from the chemical production network, analyze the network to obtain task production value, cycle utilization, and production cycle. Analyze the production cycle to obtain expected production value. Analyze the expected production value and task production value to obtain task monitoring signals, specifically: Set a reference process cycle; Real-time production signal data includes real-time flow electrical signal data, real-time temperature electrical signal data, real-time pressure electrical signal data, and real-time pH electrical signal data; Obtain the process time and production progress of the production sub-nodes, and obtain the task production value based on the process time and production progress of the production sub-nodes. The reference process cycle is set as the monitoring cycle. The real-time production signals of each task group in the production process data are analyzed through the monitoring cycle. The amplitude and cycle length of the real-time flow electrical signal data, real-time temperature electrical signal data, real-time pressure electrical signal data, and real-time pH electrical signal data in the real-time production signal data are obtained respectively. Based on the amplitude and cycle length of the real-time production signal data, the cycle utilization of the production node and the production cycle are obtained. Among them, the lifecycle utilization of production nodes and production cycle The calculation method is as follows: ； ； in, , , , These are the amplitudes of real-time flow electrical signal data, real-time temperature electrical signal data, real-time pressure electrical signal data, and real-time pH electrical signal data, respectively. , , , These are the cycle lengths of real-time flow electrical signal data, real-time temperature electrical signal data, real-time pressure electrical signal data, and real-time pH electrical signal data, respectively. The lifecycle utilization of production nodes; For reference process cycle; The production cycle of production nodes is analyzed, and the expected production value is obtained based on the production cycle and production progress; the task production value and expected production value of production nodes are analyzed to obtain task monitoring signal one, task monitoring signal two and task monitoring signal three. S3. Through the chemical production network, analyze the chemical process nodes, production nodes, and task production values ​​to obtain the process production value. Analyze the process production value and chemical process nodes to obtain production process signals, specifically: By analyzing each chemical process node in the same batch through the chemical production network, the total number of production nodes connected within the same chemical process node in the same batch and the task production value are obtained; based on the task production value and total number of production nodes connected within each chemical process node in the same batch, the process production value of the chemical process is obtained. By analyzing the task monitoring signals, the process nodes corresponding to all chemical processes in the same batch are analyzed; the process status of the chemical processes is obtained; the process status of all chemical processes in the same batch is summarized according to the chemical process sequence to obtain the chemical process code. By analyzing the process production value of each chemical process through chemical process coding, we can obtain production process signal 1, production process signal 2, production process signal 3 and production process signal 4. S4. Analyze task monitoring signals and production process signals to generate chemical production management strategies, and manage the chemical production process through these strategies.

2. The method for real-time monitoring and intelligent analysis of chemical production data according to claim 1, characterized in that, The process of acquiring chemical production data, analyzing the chemical production data, and constructing a chemical production network includes: Chemical production data includes production process data, process batches, and chemical production signal data; Production process data includes chemical process data and process numbers; chemical process data includes data for chemical process one, chemical process two, chemical process three, chemical process four, and chemical process five. Chemical production signal data includes flow rate electrical signal data, temperature electrical signal data, pressure electrical signal data, and pH electrical signal data; The chemical process data includes several process task data. Consecutive identical process task data are grouped together and denoted as task group data. The production process data of the same batch are analyzed to construct a chemical production network.

3. The method for real-time monitoring and intelligent analysis of chemical production data according to claim 2, characterized in that, The process of analyzing production process data from batches within the same process to construct a chemical production network includes: The first task process data within the task group data is designated as the critical task process data. Based on the critical task process data and the task process data, production nodes and production sub-nodes are constructed. Chemical process nodes are constructed using the chemical process data corresponding to the chemical process data in the production process data. The task relationships between production nodes and production sub-nodes are constructed using the task group data, and the process relationships between chemical process nodes and production nodes are constructed using the production process data. Based on the process relationships and task relationships, the production nodes, production sub-nodes, and chemical process nodes are linked to construct a chemical production network.

4. The method for real-time monitoring and intelligent analysis of chemical production data according to claim 3, characterized in that, The process of analyzing task monitoring signals and production process signals to generate chemical production management strategies, and then managing the chemical production process using these strategies, includes: When task monitoring signal one is generated, no chemical production management is required; when task monitoring signal two or task monitoring signal three is generated, the status of the corresponding production node is marked as "task process abnormal", and the "task process abnormal" status of the production node is sent to the chemical production supervisor to obtain the chemical production management strategy. When production process signal one is generated, no chemical production management is required; when production process signal two, three, or four is generated, the status of the corresponding chemical process node is marked as "process abnormal" and the "process abnormal" status of the chemical process node is sent to the chemical production supervisor to obtain the chemical production management strategy, and the chemical production process is managed through the obtained chemical production management strategy.

5. A real-time monitoring and intelligent analysis system for chemical production data, specifically applied to the real-time monitoring and intelligent analysis method for chemical production data as described in any one of claims 1 to 4, comprising a management center, characterized in that, The management center communicates with the data acquisition module, data analysis module, data processing module, and production management module. The data acquisition module is used to acquire chemical production data, analyze the chemical production data, and construct a chemical production network; The data analysis module is used to acquire real-time production signal data of the chemical production network, analyze the chemical production network to obtain task production value, cycle utilization and production cycle, analyze the production cycle to obtain expected production value, and analyze the expected production value and task production value to obtain task monitoring signal period. The data processing module is used to analyze chemical process nodes, production nodes, and task production values ​​through the chemical production network to obtain process production values, and to analyze process production values ​​and chemical process nodes to obtain production process signals. The production management module is used to analyze task monitoring signals and production process signals, generate chemical production management strategies, and manage the chemical production process through these strategies.

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