Control method of ferric trichloride water purification material production device

Abstract

The invention relates to a control method of a ferric trichloride water purification material production device, and belongs to the technical field of ferric trichloride water purification material production devices. Production quality data of the ferric trichloride water purification material production device are obtained according to reaction by-product data under the current operation working condition; and finally, generating a first control strategy or a second control strategy based on the production quality data of the ferric trichloride water purification material production device, and performing dynamic control according to the first control strategy or the second control strategy. According to the method, the real-time production quality data of the ferric trichloride water purification material production device is estimated by predicting the reaction by-product data under the current operation working condition; the operation condition parameters of the ferric trichloride water purification material production device are dynamically adjusted according to the real-time production quality data of the ferric trichloride water purification material production device, so that the amount of generated reaction byproducts can be reduced, the purity of the ferric trichloride water purification material is improved, and the ferric trichloride water purification material meets preset requirements.

Description

Technical Field

[0001] The invention relates to the technical field of ferric chloride water purification material production equipment, and in particular to a control method for a ferric chloride water purification material production equipment. Background Art

[0002] Ferric chloride is a covalent inorganic compound with the chemical formula FeCl 3 It is a black-brown crystal, also in the form of flakes, with a melting point of 306°C and a boiling point of 316°C. It is easily soluble in water and has strong water absorption, and can absorb moisture from the air and deliquesce. When it precipitates from an aqueous solution, it carries six crystal waters, which is FeCl 3 6H 2 O, ferric chloride hexahydrate is orange-yellow crystal. Its liquid solution is brown liquid, relative density 1.42, easily miscible with water, aqueous solution is acidic, has oxidative corrosion effect on metal, when water-soluble dilution, hydrolysis generates iron hydroxide precipitation, has strong cohesive force. Ferric chloride is commonly used as flocculant in water treatment, can adsorb suspended particles in water, make it condense into larger flocs, convenient for subsequent precipitation or filtration. It can effectively remove heavy metal ions and organic pollutants in wastewater, also has significant effects of precipitating heavy metals and sulfides, decolorizing, deodorizing, degreasing, dephosphorizing, reducing effluent COD and BOD, can improve water quality well, precipitate some bad substances, purify water quality. Certain impurities will be produced when ferric chloride water purification material is produced, these impurities will affect its purification effect on water, resulting in inconvenience for use. For this reason, there is a kind of impurity removal device for producing ferric chloride water purification material, which includes shell, power box, stirring rod, heating plate and motor. Through the cooperation of the motor and the moving assembly, the baffle is driven to move back and forth so that the mixed ferric chloride water purification material intermittently falls onto the heating plate, and then is stirred by the stirring rod, and dried by the heating plate, thereby achieving the impurity removal effect. However, in the ferric chloride water purification material production device, due to the influence of operating parameters such as chlorine input, stirring speed and heating power, the by-products (such as the amount of ferric chloride solution and the amount of ferrous chloride solution) are produced. There are differences. When the operating parameters do not meet the requirements, the proportion of ferric chloride will be reduced, resulting in the concentration of ferric chloride failing to meet the predetermined requirements. Summary of the invention

[0003] The invention overcomes the shortcomings of the prior art and provides a control method for a ferric chloride water purification material production device.

[0004] To achieve the above object, the technical solution adopted by the present invention is:

[0005] A first aspect of the present invention provides a control method for a ferric chloride water purification material production device, comprising the following steps:

[0006] Collect real-time reaction data and operating condition parameter data through sensors, record real-time reaction data and operating condition parameter data, and build historical production and processing data during the reaction process;

[0007] Building an operating condition reaction data prediction model based on historical production and processing data in the reaction process, and predicting reaction byproduct data under current operating conditions through the operating condition reaction data prediction model;

[0008] Obtaining production quality data of the ferric chloride water purification material production device according to the reaction byproduct data under the current operating conditions;

[0009] A first control strategy or a second control strategy is generated based on the production quality data of the ferric chloride water purification material production device, and dynamic control is performed according to the first control strategy or the second control strategy.

[0010] Furthermore, in the control method of the ferric chloride water purification material production device, real-time reaction data and operating condition parameter data are collected by sensors, the real-time reaction data and operating condition parameter data are recorded, and historical production and processing data in the reaction process are constructed, specifically including:

[0011] By setting a data acquisition device in the ferric chloride water purification material production device, real-time reaction data is obtained through the data acquisition device, and the production amount of ferric chloride solution and the production amount of ferrous chloride solution are obtained according to the real-time reaction data;

[0012] Constructing byproduct production data according to the production amounts of the ferric chloride solution and the ferrous chloride solution, and obtaining current operating condition parameter data and reaction amount data of the iron scrap reactant;

[0013] Record the by-product generation data under the current operating condition parameter data and the reaction amount data of the iron scrap reactant, count the by-product generation data under the current operating condition parameter data and the reaction amount data of the iron scrap reactant, and obtain the by-product generation data under different operating condition parameter data;

[0014] Calculate the by-product generation ratio data information under different operating condition parameter data according to the by-product generation amount data under different operating condition parameter data and the reaction amount data of the iron scrap reactant;

[0015] The historical production and processing data of the reaction process is constructed according to the data information of the proportion of by-product production under different operating condition parameter data, and the historical production and processing data of the reaction process is output.

[0016] Furthermore, in the control method of the ferric chloride water purification material production device, an operating condition reaction data prediction model is constructed based on the historical production and processing data in the reaction process, specifically:

[0017] Constructing an operating condition reaction data prediction model based on a deep neural network, and inputting historical production and processing data in the reaction process into the operating condition reaction data prediction model;

[0018] Using the operating condition parameter data in the historical production and processing data of the reaction process as the first node, and using the by-product production ratio data information in the historical production and processing data of the reaction process as the second node;

[0019] Constructing a directed edge description relationship, connecting the first node and the second node based on the directed edge description relationship to form a constraint on the second node, constructing an adjacency matrix, and inputting the adjacency matrix into the operating condition response data prediction model for training;

[0020] Through training, when the operating condition reaction data prediction model meets expectations, the model parameters of the operating condition reaction data prediction model are saved, and the operating condition reaction data prediction model is output.

[0021] Furthermore, in the control method of the ferric chloride water purification material production device, the reaction byproduct data under the current operating condition is predicted by the operating condition reaction data prediction model, specifically:

[0022] Obtaining the operating condition parameter data of the current ferric chloride water purification material production device, and inputting the operating condition parameter data of the current ferric chloride water purification material production device into the operating condition reaction data prediction model for prediction;

[0023] The generator makes predictions based on the operating condition parameter data of the current ferric chloride water purification material production device to obtain initial prediction results;

[0024] When the discriminator accepts the initial prediction result, the initial prediction result is output as the reaction byproduct data under the current operating condition;

[0025] When the discriminator does not accept the initial prediction result, it generates the next prediction result until the current prediction result is accepted, and the current prediction result is output as the reaction by-product data under the current operating condition.

[0026] Further, in the control method of the ferric chloride water purification material production device, the production quality data of the ferric chloride water purification material production device is obtained according to the reaction byproduct data under the current operating conditions, specifically including:

[0027] Setting a reaction by-product ratio data evaluation index, and determining whether the reaction by-product data under the current operating condition is greater than the reaction by-product ratio data evaluation index;

[0028] When the reaction by-product data under the current operating condition is greater than the reaction by-product proportion data evaluation index, it is marked as normal production quality;

[0029] When the reaction by-product data under the current operating condition is not greater than the reaction by-product proportion data evaluation index, it is marked as abnormal production quality;

[0030] The production quality data of the ferric chloride water purification material production device is generated according to the normal production quality or the abnormal production quality, and the production quality data of the ferric chloride water purification material production device is output.

[0031] Further, in the control method of the ferric chloride water purification material production device, a first control strategy or a second control strategy is generated based on the production quality data of the ferric chloride water purification material production device, and dynamic control is performed according to the first control strategy or the second control strategy, specifically:

[0032] When the production quality data of the ferric chloride water purification material production device is normal production quality, a first control strategy is generated, and production control is performed according to the first control strategy;

[0033] When the production quality data of the ferric chloride water purification material production device is abnormal, the operation condition data information of the ferric chloride water purification material production device is reinitialized;

[0034] Obtaining the reaction by-product data corresponding to the operating condition data information of the reinitialized ferric chloride water purification material production device, when the reaction by-product data corresponding to the operating condition data information of the reinitialized ferric chloride water purification material production device is not greater than the reaction by-product proportion data evaluation index, controlling according to the operating condition data information of the current reinitialized ferric chloride water purification material production device, and generating a second control strategy;

[0035] When the reaction by-product data corresponding to the operating condition data information of the reinitialized ferric chloride water purification material production device is greater than the reaction by-product proportion data evaluation index, the operating condition data information of the current ferric chloride water purification material production device is reconfigured until the reaction by-product data is no greater than the reaction by-product proportion data evaluation index.

[0036] The second aspect of the present invention provides a control system for a ferric chloride water purification material production device, comprising a memory and a processor, wherein the memory includes a control method program for the ferric chloride water purification material production device, and when the control method program for the ferric chloride water purification material production device is executed by the processor, the steps of the control method for the ferric chloride water purification material production device described in any one of the items are implemented.

[0037] The third aspect of the present invention provides a computer-readable storage medium, including a control method program for a ferric chloride water purification material production device. When the control method program for the ferric chloride water purification material production device is executed by a processor, the steps of the control method for the ferric chloride water purification material production device described in any one of the items are implemented.

[0038] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0039] The present invention collects real-time reaction data and operating condition parameter data by sensors, records real-time reaction data and operating condition parameter data, constructs historical production and processing data in the reaction process, and then constructs an operating condition reaction data prediction model based on the historical production and processing data in the reaction process, and predicts the reaction byproduct data under the current operating condition by the operating condition reaction data prediction model, thereby obtaining the production quality data of the ferric chloride water purification material production device according to the reaction byproduct data under the current operating condition, and finally generates the first control strategy or the second control strategy based on the production quality data of the ferric chloride water purification material production device, and dynamically controls according to the first control strategy or the second control strategy. The present invention predicts the reaction byproduct data under the current operating condition, thereby estimating the real-time production quality data of the ferric chloride water purification material production device, and then dynamically adjusts the operating condition parameters of the ferric chloride water purification material production device according to the real-time production quality data of the ferric chloride water purification material production device, can reduce the amount of reaction byproducts produced, improve the purity of the ferric chloride water purification material, so that the ferric chloride water purification material meets the predetermined demand. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0041] Figure 1 The overall flow chart of the control method of the ferric chloride water purification material production device is shown;

[0042] Figure 2A system block diagram of a control system for a ferric chloride water purification material production device is shown. DETAILED DESCRIPTION

[0043] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0044] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0045] like Figure 1 As shown, the first aspect of the present invention provides a control method for a ferric chloride water purification material production device, comprising the following steps:

[0046] S102: Collecting real-time reaction data and operating condition parameter data through sensors, recording the real-time reaction data and operating condition parameter data, and constructing historical production and processing data during the reaction process;

[0047] S104: constructing an operating condition reaction data prediction model based on historical production and processing data in the reaction process, and predicting the reaction byproduct data under the current operating condition through the operating condition reaction data prediction model;

[0048] S106: Obtaining production quality data of the ferric chloride water purification material production device according to the reaction byproduct data under the current operating conditions;

[0049] S108: Generate a first control strategy or a second control strategy based on the production quality data of the ferric chloride water purification material production device, and perform dynamic control according to the first control strategy or the second control strategy.

[0050] It should be noted that the present invention predicts the reaction by-product data under the current operating conditions to estimate the real-time production quality data of the ferric chloride water purification material production device, and then dynamically adjusts the operating condition parameters of the ferric chloride water purification material production device according to the real-time production quality data of the ferric chloride water purification material production device, which can reduce the amount of reaction by-products produced, improve the purity of the ferric chloride water purification material, and make the ferric chloride water purification material meet the predetermined needs.

[0051] Furthermore, in the control method of the ferric chloride water purification material production device, real-time reaction data and operating condition parameter data are collected by sensors, the real-time reaction data and operating condition parameter data are recorded, and historical production and processing data in the reaction process are constructed, specifically including:

[0052] By setting a data acquisition device in the ferric chloride water purification material production device, real-time reaction data is obtained through the data acquisition device, and the production amount of ferric chloride solution and ferrous chloride solution is obtained according to the real-time reaction data;

[0053] For example, the real-time reaction data includes data such as the amount of iron filings consumed within a preset time, the amount of ferric chloride solution produced, and the amount of ferrous chloride solution produced, and the amount of ferric chloride solution produced can be calculated by physical means or chemical calculation methods, such as physical separation using different boiling points, using the amount of chlorine consumed and the amount of iron filings to determine the concentration of ferric chloride to calculate the amount of ferric chloride solution produced and the amount of ferrous chloride solution produced, etc. Data acquisition equipment includes temperature sensors, gas concentration sensors, etc.

[0054] Construct the by-product production data according to the production amount of ferric chloride solution and ferrous chloride solution, and obtain the current operating condition parameter data and the reaction amount data of the iron scrap reactant;

[0055] Record the by-product generation data under the current operating condition parameter data and the reaction amount data of the iron scrap reactant, count the by-product generation data under the current operating condition parameter data and the reaction amount data of the iron scrap reactant, and obtain the by-product generation data under different operating condition parameter data;

[0056] Calculate the by-product generation ratio data under different operating condition parameter data based on the by-product generation amount data and the iron scrap reactant reaction amount data under different operating condition parameter data;

[0057] The historical production and processing data of the reaction process is constructed based on the data information of the proportion of by-product production under different operating parameters, and the historical production and processing data of the reaction process is output.

[0058] It should be noted that the operating parameters include data such as chlorine input, stirring speed and heating power, and differences in data such as chlorine input, stirring speed and heating power will result in different data information on the proportion of by-product production. This method can calculate the data information on the proportion of by-product production under different operating parameter data, thereby predicting the data information on the proportion of by-product production under the current operating parameter data.

[0059] Furthermore, in the control method of the ferric chloride water purification material production device, an operating condition reaction data prediction model is constructed based on the historical production and processing data in the reaction process, specifically:

[0060] Construct an operating condition reaction data prediction model based on a deep neural network, and input the historical production and processing data during the reaction process into the operating condition reaction data prediction model;

[0061] The operating condition parameter data in the historical production and processing data during the reaction process is used as the first node, and the by-product production ratio data information in the historical production and processing data during the reaction process is used as the second node;

[0062] Constructing a directed edge description relationship, connecting the first node and the second node based on the directed edge description relationship to form a constraint on the second node, constructing an adjacency matrix, and inputting the adjacency matrix into an operating condition response data prediction model for training;

[0063] After the operating condition reaction data prediction model meets expectations through training, the model parameters of the operating condition reaction data prediction model are saved, and the operating condition reaction data prediction model is output.

[0064] It should be noted that deep neural networks include convolutional neural networks, recursive neural networks, long short-term memory neural networks, multi-layer perceptron neural networks, etc. Through this method, a prediction model can be constructed to predict the data information of the proportion of by-product production under the current operating condition parameter data.

[0065] Furthermore, in the control method of the ferric chloride water purification material production device, the reaction byproduct data under the current operating condition is predicted by the operating condition reaction data prediction model, specifically:

[0066] Obtaining the operating condition parameter data of the current ferric chloride water purification material production device, and inputting the operating condition parameter data of the current ferric chloride water purification material production device into the operating condition reaction data prediction model for prediction;

[0067] The generator makes predictions based on the operating condition parameter data of the current ferric chloride water purification material production device to obtain initial prediction results;

[0068] When the discriminator accepts the initial prediction result, the initial prediction result is output as the reaction by-product data under the current operating condition;

[0069] When the discriminator does not accept the initial prediction result, it generates the next prediction result until the current prediction result is accepted and the current prediction result is output as the reaction by-product data under the current operating conditions.

[0070] Furthermore, in the control method of the ferric chloride water purification material production device, the production quality data of the ferric chloride water purification material production device is obtained according to the reaction byproduct data under the current operating conditions, specifically including:

[0071] Set a reaction by-product ratio data evaluation index, and determine whether the reaction by-product data under the current operating conditions is greater than the reaction by-product ratio data evaluation index;

[0072] When the reaction by-product data under the current operating conditions is greater than the reaction by-product ratio data evaluation index, it is marked as normal production quality;

[0073] When the reaction by-product data under the current operating conditions is not greater than the reaction by-product proportion data evaluation index, it is marked as abnormal production quality;

[0074] The production quality data of the ferric chloride water purification material production device is generated according to the normal production quality or the abnormal production quality, and the production quality data of the ferric chloride water purification material production device is output.

[0075] Further, in the control method of the ferric chloride water purification material production device, a first control strategy or a second control strategy is generated based on the production quality data of the ferric chloride water purification material production device, and dynamic control is performed according to the first control strategy or the second control strategy, specifically:

[0076] When the production quality data of the ferric chloride water purification material production device is normal production quality, a first control strategy is generated, and production control is performed according to the first control strategy;

[0077] When the production quality data of the ferric chloride water purification material production device is abnormal, the operation condition data information of the ferric chloride water purification material production device is reinitialized;

[0078] Obtaining the reaction by-product data corresponding to the operating condition data information of the reinitialized ferric chloride water purification material production device; when the reaction by-product data corresponding to the operating condition data information of the reinitialized ferric chloride water purification material production device is not greater than the reaction by-product proportion data evaluation index, controlling according to the operating condition data information of the current reinitialized ferric chloride water purification material production device, and generating a second control strategy;

[0079] When the reaction by-product data corresponding to the reinitialized ferric chloride water purification material production device's operating condition data information is greater than the reaction by-product proportion data evaluation index, the current ferric chloride water purification material production device's operating condition data information is reconfigured until the reaction by-product data is no greater than the reaction by-product proportion data evaluation index.

[0080] It should be noted that this method can reset the operating conditions of the current ferric chloride water purification material production device according to the actual reaction by-product data, increase the production proportion of ferric chloride water purification materials, and improve the production quality of ferric chloride water purification materials.

[0081] In addition, the method further comprises:

[0082] The method comprises the steps of obtaining historical production quality change characteristic data of the ferric chloride water purification material production device during the production process, and constructing a historical production quality change characteristic data curve according to the historical production quality change characteristic data of the ferric chloride water purification material production device during the production process; obtaining production quality change characteristic data of the ferric chloride water purification material production device during the production process within a preset time, and constructing a real-time production quality change characteristic data curve according to the production quality change characteristic data of the ferric chloride water purification material production device during the production process within the preset time; dividing the historical production quality change characteristic data curve into a plurality of sub-curves, calculating the Euclidean distance value between the sub-curve and the real-time production quality change characteristic data curve, and extracting a curve with a Euclidean distance value lower than the Euclidean distance threshold as a fitting curve; obtaining the production quality data of the ferric chloride water purification material production device during the production process at the current timestamp from the fitting curve, and obtaining the production quality requirement information of the current ferric chloride water purification material; selecting the ferric chloride water purification material production device corresponding to the production quality data greater than the production quality requirement information of the current ferric chloride water purification material as the priority production equipment, and generating a related production plan.

[0083] It should be noted that, since the performance of the ferric chloride water purification material production device will degrade during use, the more by-products the ferric chloride water purification material production device produces, the lower the production quality will be. By selecting the ferric chloride water purification material production device whose production quality data is greater than the production quality requirement information of the current ferric chloride water purification material as the priority production equipment, it is possible to prioritize the configuration of equipment with better performance for production, thereby improving the production quality of the ferric chloride water purification material.

[0084] In addition, the method also includes: by setting a chlorine gas concentration sensor in the chlorine tail gas absorption tower, obtaining the concentration data information in the chlorine tail gas absorption tower in each timestamp through the chlorine gas concentration sensor, and constructing the concentration characteristic data change data based on the time series; introducing a Bayesian network, inputting the concentration characteristic data change data based on the time series into the Bayesian network for observation, and through observation, taking the concentration characteristic data in each timestamp as an observation vector; obtaining the absorption parameter data of the current tail gas complete absorption device, setting an observation vector threshold, judging whether the observation vector is greater than the observation vector threshold, when the observation vector is lower than the observation vector threshold, maintaining the absorption parameter data of the current tail gas complete absorption device unchanged; when the observation vector is not lower than the observation vector threshold, reinitializing the absorption parameter data of the current tail gas complete absorption device until the observation vector is lower than the observation vector threshold.

[0085] It should be noted that, using machine learning technology, when the observation vector is lower than the observation vector threshold, it means that the excess chlorine has been absorbed and there is no risk of leakage. When the observation vector is not lower than the observation vector threshold, it means that there is a risk of leakage, thereby increasing the absorption parameter data of the current exhaust gas complete absorption equipment (such as the amount of absorption solution added), reducing the waste of resources and the risk of leakage, and improving the rationality of the production process.

[0086] In addition, the method also includes: arranging an optical sensor and an image recognition device inside the ferric chloride water purification material production device, and obtaining real-time crystal formation image data of the ferric chloride water purification material through the image recognition device and the optical sensor; performing feature analysis based on the real-time crystal formation image data of the ferric chloride water purification material, and obtaining crystal particle size characteristic data, the cooling work efficiency of the current cooling device, and the stirring intensity characteristic data; setting a crystal particle size characteristic data index, and judging whether the crystal particle size characteristic data is greater than the crystal particle size characteristic data index; when the crystal particle size characteristic data is greater than the crystal particle size characteristic data index, maintaining the cooling work efficiency and stirring intensity characteristic data of the current cooling device; when the crystal particle size characteristic data is greater than the crystal particle size characteristic data index, reconfiguring the cooling work efficiency and stirring intensity characteristic data of the current cooling device until it is greater than the crystal particle size characteristic data index.

[0087] It should be noted that the stirring intensity characteristic data includes stirring speed, motor speed and other data. Optical sensors and image recognition technology are introduced in the crystallization process to monitor the crystal size distribution in real time. The cooling rate and stirring intensity are adjusted through feedback to ensure that the purity of ferric chloride crystals meets the standard.

[0088] like Figure 2 As shown, the second aspect of the present invention provides a control system 4 for a ferric chloride water purification material production device, including a memory 41 and a processor 42. The memory 41 includes a control method program for the ferric chloride water purification material production device. When the control method program for the ferric chloride water purification material production device is executed by the processor 42, any step of the control method for the ferric chloride water purification material production device is implemented.

[0089] The third aspect of the present invention provides a computer-readable storage medium, including a control method program for a ferric chloride water purification material production device. When the control method program for the ferric chloride water purification material production device is executed by a processor, any step of the control method for the ferric chloride water purification material production device is implemented.

[0090] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0091] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0092] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0093] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks or optical disks, and other media that can store program codes.

[0094] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0095] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A control method for a ferric chloride water purification material production device, characterized in that: The following steps are involved: Collect real-time reaction data and operating condition parameter data through sensors, record real-time reaction data and operating condition parameter data, and build historical production and processing data during the reaction process; Building an operating condition reaction data prediction model based on historical production and processing data in the reaction process, and predicting reaction byproduct data under current operating conditions through the operating condition reaction data prediction model; Obtaining production quality data of the ferric chloride water purification material production device according to the reaction byproduct data under the current operating conditions; A first control strategy or a second control strategy is generated based on the production quality data of the ferric chloride water purification material production device, and dynamic control is performed according to the first control strategy or the second control strategy.

2. The control method of a ferric chloride water purification material production device according to claim 1, characterized in that: The sensors collect real-time reaction data and operating condition parameter data, record the real-time reaction data and operating condition parameter data, and construct historical production and processing data during the reaction process, including: By setting a data acquisition device in the ferric chloride water purification material production device, real-time reaction data is obtained through the data acquisition device, and the production amount of ferric chloride solution and the production amount of ferrous chloride solution are obtained according to the real-time reaction data; Constructing byproduct production data according to the production amounts of the ferric chloride solution and the ferrous chloride solution, and obtaining current operating condition parameter data and reaction amount data of the iron scrap reactant; Record the by-product generation data under the current operating condition parameter data and the reaction amount data of the iron scrap reactant, count the by-product generation data under the current operating condition parameter data and the reaction amount data of the iron scrap reactant, and obtain the by-product generation data under different operating condition parameter data; Calculate the by-product generation ratio data information under different operating condition parameter data according to the by-product generation amount data under different operating condition parameter data and the reaction amount data of the iron scrap reactant; The historical production and processing data of the reaction process is constructed according to the data information of the proportion of by-product production under different operating condition parameter data, and the historical production and processing data of the reaction process is output.

3. The control method of a ferric chloride water purification material production device according to claim 1, characterized in that: Based on the historical production and processing data in the reaction process, an operating condition reaction data prediction model is constructed, specifically: Constructing an operating condition reaction data prediction model based on a deep neural network, and inputting historical production and processing data in the reaction process into the operating condition reaction data prediction model; Using the operating condition parameter data in the historical production and processing data of the reaction process as the first node, and using the by-product production ratio data information in the historical production and processing data of the reaction process as the second node; Constructing a directed edge description relationship, connecting the first node and the second node based on the directed edge description relationship to form a constraint on the second node, constructing an adjacency matrix, and inputting the adjacency matrix into the operating condition response data prediction model for training; Through training, when the operating condition reaction data prediction model meets expectations, the model parameters of the operating condition reaction data prediction model are saved, and the operating condition reaction data prediction model is output.

4. The control method of a ferric chloride water purification material production device according to claim 1, characterized in that: The reaction byproduct data under the current operating condition is predicted by the operating condition reaction data prediction model, specifically: Obtaining the operating condition parameter data of the current ferric chloride water purification material production device, and inputting the operating condition parameter data of the current ferric chloride water purification material production device into the operating condition reaction data prediction model for prediction; The generator makes predictions based on the operating condition parameter data of the current ferric chloride water purification material production device to obtain initial prediction results; When the discriminator accepts the initial prediction result, the initial prediction result is output as the reaction byproduct data under the current operating condition; When the discriminator does not accept the initial prediction result, it generates the next prediction result until the current prediction result is accepted, and the current prediction result is output as the reaction by-product data under the current operating condition.

5. The control method of a ferric chloride water purification material production device according to claim 1, characterized in that: The production quality data of the ferric chloride water purification material production device is obtained according to the reaction byproduct data under the current operating conditions, specifically including: Setting a reaction by-product ratio data evaluation index, and determining whether the reaction by-product data under the current operating condition is greater than the reaction by-product ratio data evaluation index; When the reaction by-product data under the current operating condition is greater than the reaction by-product proportion data evaluation index, it is marked as normal production quality; When the reaction by-product data under the current operating condition is not greater than the reaction by-product proportion data evaluation index, it is marked as abnormal production quality; The production quality data of the ferric chloride water purification material production device is generated according to the normal production quality or the abnormal production quality, and the production quality data of the ferric chloride water purification material production device is output.

6. The control method of a ferric chloride water purification material production device according to claim 1, characterized in that: A first control strategy or a second control strategy is generated based on the production quality data of the ferric chloride water purification material production device, and dynamic control is performed according to the first control strategy or the second control strategy, specifically: When the production quality data of the ferric chloride water purification material production device is normal production quality, a first control strategy is generated, and production control is performed according to the first control strategy; When the production quality data of the ferric chloride water purification material production device is abnormal, the operation condition data information of the ferric chloride water purification material production device is reinitialized; Obtaining the reaction by-product data corresponding to the operating condition data information of the reinitialized ferric chloride water purification material production device, when the reaction by-product data corresponding to the operating condition data information of the reinitialized ferric chloride water purification material production device is not greater than the reaction by-product proportion data evaluation index, controlling according to the operating condition data information of the current reinitialized ferric chloride water purification material production device, and generating a second control strategy; When the reaction by-product data corresponding to the operating condition data information of the reinitialized ferric chloride water purification material production device is greater than the reaction by-product proportion data evaluation index, the operating condition data information of the current ferric chloride water purification material production device is reconfigured until the reaction by-product data is no greater than the reaction by-product proportion data evaluation index.

7. A control system for a ferric chloride water purification material production device, characterized in that: It comprises a memory and a processor, wherein the memory comprises a control method program of a ferric chloride water purification material production device, and when the control method program of the ferric chloride water purification material production device is executed by the processor, the steps of the control method of the ferric chloride water purification material production device as described in any one of claims 1-6 are implemented.

8. A computer-readable storage medium, characterized in that: It includes a control method program for a ferric chloride water purification material production device. When the control method program for the ferric chloride water purification material production device is executed by a processor, the steps of the control method for the ferric chloride water purification material production device as described in any one of claims 1-6 are implemented.

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