Formaldehyde raw material automatic weighing method and system

Abstract

The invention relates to a formaldehyde raw material automatic weighing method and system, and relates to the field of formaldehyde raw material weighing, and the method comprises the steps: collecting environmental parameters, environmental historical data, demand mass, demand concentration and weighing height in real time; generating a weighing environment model based on the environmental parameters, the environmental historical data and the physicochemical properties; generating transportation control information based on the demand mass, the demand concentration and the weighing environment model; controlling a transportation device to transport the formaldehyde raw material to a dumping position based on the transportation control information; a dumping angle and a dumping speed are generated based on the environmental parameters, the required mass, the required concentration and the weighing height, and a dumping device is controlled to conduct dumping; generating a dumping volatilization amount based on the dumping angle and the dumping speed; collecting in-volume mass and in-volume concentration in real time; generating an initial weighing result based on the in-volume mass and the in-volume concentration; and generating and outputting a weighing adjustment result based on the dumping volatilization amount and the weighing initial result. The method and the device have the effect of improving the weighing accuracy.

Description

Technical Field

[0001] The present invention relates to the field of formaldehyde raw material weighing, and in particular to an automatic weighing method and system for formaldehyde raw materials. Background Art

[0002] Formaldehyde, as a basic and important chemical raw material, is widely used in resin synthesis, wood processing, textiles, medicine, preservatives and disinfectants and other industries.

[0003] Formaldehyde is mainly measured by an operator who moves the formaldehyde in a barrel to the side of a measuring container, observes the mass reading, and then manually pours the formaldehyde in the barrel into a measuring container, which is usually open. The operator waits for the formaldehyde in the measuring container to stabilize and then reads the mass reading. The difference between the two readings is the mass of the formaldehyde.

[0004] Regarding the above-mentioned related technologies, since the raw materials are generally poured manually, the pouring angle and pouring speed are prone to change during manual pouring, which can easily cause formaldehyde splashing and increased volatilization. Therefore, there is a problem of low estimation accuracy and inability to meet the precise proportioning requirements. Summary of the Invention

[0005] In order to improve weighing accuracy, the present invention provides a method and system for automatically weighing formaldehyde raw materials.

[0006] In a first aspect, the present invention provides a method for automatically weighing formaldehyde raw materials, which adopts the following technical solution: A method for automatically weighing formaldehyde raw materials, comprising: S1: Real-time collection of environmental parameters, environmental historical data, required quality, required concentration and weighing height inside the preset weighing device; S2: generating a weighing environment model based on the environmental parameters, the environmental historical data and preset physical and chemical properties; S3: generating transportation control information based on the required mass, the required concentration, and the weighing environment model; S4: controlling a preset transport device based on the transport control information to transport the formaldehyde raw material to a preset dumping location; S5: generating a pouring angle and a pouring speed based on the environmental parameters, the required mass, the required concentration, and the weighing height, and controlling a preset pouring device to perform pouring; S6: generating a pouring volatile amount based on the pouring angle and the pouring speed; S7: Real-time collection of content quality and content concentration; S8: generating an initial weighing result based on the mass in the container and the concentration in the container; S9: generating a weighing adjustment result based on the pouring volatile amount and the initial weighing result, and outputting the weighing adjustment result.

[0007] By adopting the above technical solution, environmental parameters, historical data, required mass and concentration, and weighing height are collected in real time, and a dynamic weighing environment model is established to predict the impact of formaldehyde volatilization. According to this weighing environment model and demand, transportation control instructions are generated to automatically transport raw materials. The optimal dumping angle and speed are dynamically calculated and controlled according to the real-time environment, target value and height to reduce volatilization, and the dumping volatilization amount generated by the process is simultaneously predicted. The actual mass and concentration of the solution in the container are obtained in real time as the initial result, and then the predicted dumping volatilization amount is used to dynamically compensate and correct the initial result and output the result. The full process of formaldehyde raw material transportation, dumping and weighing is automated, reducing the problem of inaccurate weighing results due to the volatile nature of formaldehyde, and improving safety and accuracy.

[0008] Optionally, the method for generating the weighing environment model includes: S21: Retrieving volatilization rate parameters based on the environmental parameters and preset physicochemical properties; S22: generating a volatilization deviation value based on the volatilization rate parameter and a preset container material; S23: generating a weighing deviation value based on the volatilization deviation value and the environmental history data; S24: Substituting the weighing deviation value into a preset weighing model to obtain a weighing deviation model, and using the weighing deviation model as the weighing environment model.

[0009] By adopting the above technical solution, the volatilization rate is obtained based on environmental parameters and physicochemical properties, the volatilization deviation is calculated based on the influence of container material, and the weighing deviation value is generated by integrating the environmental historical data. Finally, the weighing deviation value is substituted into the weighing deviation model formed by the basic model to improve the accuracy of volatilization loss prediction in complex environments and provide a basis for subsequent control.

[0010] Optionally, generating the transportation control information based on the required mass, the required concentration, and the weighing environment model includes: S31: Calculating an initial raw material delivery amount based on the weighing environment model, the required mass, and the required concentration; S32: generating initial transportation control information based on the initial raw material delivery amount; S33: Collect the original mass and original concentration of formaldehyde; S34: Determine whether the original mass is consistent with the required mass, and whether the original concentration is consistent with the required concentration; S35: If they are consistent, the initial transport control information is used as the transport control information; S36: If there is inconsistency, generating raw material abnormality information based on the original mass, the original concentration and the required mass, the required concentration; S37: generating raw material adjustment information based on the raw material abnormality information and the weighing environment model; S38: selecting raw material replacement data from a preset raw material database based on the raw material adjustment information; S39: Generate replacement transportation control information based on the raw material replacement data and use it as transportation control information.

[0011] By adopting this technical solution, the initial delivery volume is calculated based on the weighing environment model, the required mass, and the required concentration. The consistency of the raw material quality and concentration is verified in real time. If they are consistent, the process is executed directly. If they are inconsistent, a raw material anomaly message is generated. Combining the environmental model with the raw material database, the optimal alternative raw material is automatically matched and replacement transportation instructions are generated. Timely raw material replacement effectively addresses fluctuations in raw material quality and concentration, avoiding production disruptions caused by incorrect raw material quality and concentration.

[0012] Optionally, the steps after generating a pouring angle and a pouring speed based on the environmental parameters, the required mass, the required concentration, and the weighing height and controlling a preset pouring device to perform pouring include: S51: Collecting image detection information and the volume of raw materials in the weighing container; S52: Identify wall-hanging features from the image detection information and mark them; S53: generating and executing wall hanging processing information based on the wall hanging feature; S54: only when the mass in the container meets the required mass or only when the volume of the raw material in the container meets the preset required volume of the raw material, obtaining a deviation concentration in the container based on the mass in the container and the volume of the raw material in the container; S55: Obtaining a density correction coefficient based on the deviation concentration in the container and the weighing environment model; S56: Calculate the corrected mass based on the density correction coefficient, and control the preset replenishing device to perform replenishment based on the corrected mass.

[0013] By adopting this technical solution, image recognition of the container's inner wall adhesion features is used. When wall adhesion is detected, resulting in substandard mass or volume, a density correction factor is calculated based on the environmental model and real-time concentration, controlling the replenishment device to accurately replenish the raw material. This avoids measurement deviations caused by wall adhesion and improves weighing accuracy.

[0014] Optionally, generating the wall hanging processing information based on the wall hanging feature includes: S531: Extracting the wall type, location distribution, and wall area from the wall features; S532: Calculating an initial loss value based on the wall hanging type, the position distribution, the wall hanging area, and a preset formaldehyde adhesion coefficient table; S533: When the initial loss value is greater than a preset loss reference value, corresponding vibration removal parameters are matched from a preset vibration removal parameter library based on the wall hanging type and the position distribution; S534: Generate a vibration clearing instruction based on the vibration clearing parameter and the image detection information, and use the vibration clearing instruction as the wall hanging processing information.

[0015] By employing this technical solution, the type, location, and area of ​​debris are extracted and combined with the material adhesion coefficient to calculate the material loss value. If the threshold is exceeded, vibration removal parameters are automatically matched and vibration removal instructions are issued based on the image detection information. This achieves automated removal of debris and reduces material waste.

[0016] Optionally, generating a vibration clearing instruction based on the vibration clearing parameter and the image detection information includes: S5341: Determine the vibration position, vibration duration, and vibration frequency based on the image detection information, and control a preset vibrator to vibrate; S5342: Determine whether the wall hanging area is smaller than a preset wall hanging reference area; S5343: If the wall hanging area is smaller than the preset wall hanging reference area, output a preset stop vibration instruction as a vibration clear instruction; S5343: If the wall hanging area is not less than the preset wall hanging reference area, obtaining a power consumption value and a cleaning efficiency value corresponding to a preset vibration point; S5345: Calculating an energy efficiency ratio based on the power consumption value and the removal efficiency value and selecting the frequency vibration point with the largest energy efficiency ratio as the main vibration point; S5346: generating a vibration correction value of the main vibration point based on the main vibration point and the vibration elimination parameter; S5347: Control a preset vibrator to vibrate based on the vibration correction value until a preset wall-hanging reference area is met.

[0017] By adopting the above technical solution, if the wall hanging does not meet the benchmark, the energy efficiency ratio of different vibration points is calculated, the optimal main vibration point is selected, and the parameters are adjusted to continue cleaning. This ensures the cleaning effect while minimizing energy consumption, improving accuracy and economic efficiency.

[0018] Optionally, obtaining a density correction coefficient based on the volume concentration and the weighing environment model includes: S551: Collect pressure data of preset points; S552: Generate a purity compensation signal based on the concentration in the container, the required mass, and the required concentration; S553: ​​Integrating the pressure data to form a force distribution based on the purity compensation signal; S554: Generate a force reference distribution based on the environmental parameters, the force distribution, and preset physical and chemical properties; S555: Generate the density correction coefficient based on the force distribution and the force reference distribution.

[0019] By adopting this technical solution, a force distribution model is constructed using multi-point pressure data, concentration signals, and environmental parameters of the container. This model is then compared with the baseline distribution to generate a density correction factor. This solves the problem of density fluctuations caused by changes in environmental parameters and concentration, making mass compensation more scientific and reliable.

[0020] Optionally, generating the pouring volatility based on the pouring angle and the pouring speed includes: S61: Obtaining a dumping time based on the dumping speed and the required quality; S62: Calculating a volatilization base amount based on the volatilization rate parameter and the pouring time; S63: Determine a splash coefficient based on the pouring speed and the weighing height; S64: Calculating a volatilization additional amount based on the splash coefficient and the pouring time; S65: Add the volatile base amount to the volatile additional amount to obtain a volatile adjustment amount as the pouring volatile amount.

[0021] By adopting the above technical solution, the basic volatilization volume is calculated based on the pouring time, and the splash coefficient is added to quantify the additional volatilization caused by liquid splashing. The two are added together to form the total volatilization volume of the pouring process. This more comprehensively reflects the volatilization loss during the pouring process and improves the accuracy of the prediction.

[0022] Optionally, the step of generating a pouring angle and a pouring speed based on the environmental parameters, the required mass, the required concentration, and the weighing height, and controlling a preset pouring device to perform pouring further includes: S571: Generate an estimated output time based on a preset output speed and the required quality; S572: generating an output compensation amount based on the estimated output time, the internal concentration, the required concentration, and the weighing environment model; S573: Perform comprehensive calculation based on the output compensation amount and the dumped volatilization amount to obtain a replenishment adjustment amount; S574: generating a dumping time based on the replenishment adjustment amount and the dumping speed; S575: generating a final replenishment amount based on the pouring time, the concentration in the container, the required concentration, and the weighing environment model; S576: Based on the final replenishment amount, control the preset replenishment device to inject into the preset measuring container in advance.

[0023] By adopting this technical solution, the required amount of raw material is calculated in advance based on the estimated output time, environmental model, and dumping parameters, and the device is controlled to inject it before dumping begins. This proactively offsets the expected losses from volatilization and wall buildup, achieving compensation during dumping and avoiding delays in post-correction.

[0024] In a second aspect, the present application provides a formaldehyde raw material automatic weighing system, which adopts the following technical solution: A formaldehyde raw material automatic weighing system, comprising: An acquisition module is used to obtain environmental parameters, environmental historical data, required mass, required concentration and weighing height, container mass and container concentration; A memory for storing a program of a method for automatically weighing formaldehyde raw materials as described in any one of the first aspects; The processor can load and execute the program in the memory.

[0025] In summary, this application includes at least one of the following beneficial technical effects: By collecting data such as environmental parameters, a dynamic weighing environment model is established to predict the impact of formaldehyde volatilization. Based on this, transportation control instructions are generated to realize the automated transportation of raw materials. At the same time, the optimal dumping angle and speed are dynamically calculated based on the real-time environment to reduce volatilization and predict the amount of volatilization dumped. The actual mass and concentration of the solution in the container are used as the initial result, and the predicted volatilization amount is used for dynamic compensation and correction before output. This realizes the automation of the entire process of formaldehyde raw material transportation, dumping and weighing, reduces the problem of weighing inaccuracy caused by the volatility of formaldehyde, and improves safety and accuracy. By adopting the above technical solution, the volatilization rate is obtained based on environmental parameters and physicochemical properties, and the volatilization deviation is calculated based on the influence of container material. The weighing deviation value is then integrated with the environmental historical data to generate the weighing deviation value. Finally, it is substituted into the weighing deviation model formed by the basic model to improve the accuracy of volatilization loss prediction in complex environments and provide a basis for subsequent control. By using image recognition to identify the characteristics of the container's inner wall, if it detects that the quality or volume does not meet the standard due to wall adhesion, it calculates the density correction factor based on the environmental model and real-time concentration, and controls the replenishment device to accurately replenish the raw materials. This avoids measurement deviations caused by wall adhesion and improves weighing accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a flow chart of a method for automatically weighing formaldehyde raw materials according to an embodiment of the present invention; Figure 2 It is a flow chart of a method for generating a weighing environment model according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] The present invention is further described in detail below with reference to the accompanying drawings and embodiments.

[0028] A method for automatically weighing formaldehyde raw materials builds a model by collecting environmental, demand, and other data to accurately control the transportation and dumping of formaldehyde raw materials. It comprehensively considers factors such as volatilization and wall adhesion to make corrections and compensations, achieving automated high-precision weighing and improving weighing accuracy and production efficiency.

[0029] Reference Figure 1 The embodiment of the present invention discloses a method for automatically weighing formaldehyde raw materials, which includes: S1: Real-time collection of environmental parameters, environmental historical data, required quality, required concentration and weighing height inside the preset weighing device.

[0030] A weighing device is a device specifically used to measure the quality of formaldehyde raw materials. Environmental parameters refer to physical quantities such as temperature, humidity, and air pressure within the weighing device that affect weighing accuracy. Historical environmental data refers to a record of changes in the environmental parameters within the weighing device over a period of time. This data can be used to predict and compensate for the impact of environmental factors on weighing. Required quality refers to the quality requirements of the formaldehyde raw materials by the user or the production process. Required concentration refers to the specific concentration requirements of the formaldehyde solution during production. The weighing height refers to the height of the pouring opening in the weighing device from the ground or other reference surface. This is measured using temperature, humidity, and air pressure sensors installed within the weighing device. Historical environmental data is accumulated by regularly storing these collected real-time data in a database. Required quality and required concentration are input into the system by the operator. Weighing height is measured using a position sensor. The collection of these data provides data support for subsequent accurate weighing.

[0031] S2: Generate a weighing environment model based on environmental parameters, environmental historical data and preset physical and chemical properties.

[0032] Physicochemical properties refer to the physical and chemical properties of the formaldehyde raw material, such as density, volatility, and viscosity. The weighing environment model is a mathematical model that quantifies the impact of the environment on volatility. The specific steps for generating the weighing environment model are shown in S21 to S24. This model can reflect the impact of environmental factors on weighing and improve weighing accuracy.

[0033] S3: Generate transportation control information based on the required quality, required concentration and weighing environment model.

[0034] Transport control information refers to various instructions and parameters used to direct a transport device to transport the formaldehyde raw material to a dumping location. A transport device refers to equipment used to transport the formaldehyde raw material from one location to another. In this embodiment, the formaldehyde raw material is transported from the initial monitoring point to the dumping device. For details on the specific effects of generating the transport control information, refer to S31 to S39. By generating the transport control information, it is ensured that the formaldehyde raw material is transported in an appropriate manner, avoiding problems such as spillage and volatilization of the raw material due to excessive speed or improper routing during transportation, improving transportation efficiency and accuracy, and laying the foundation for accurate dumping.

[0035] S4: Based on the transportation control information, a preset transportation device is controlled to transport the formaldehyde raw material to a preset dumping location.

[0036] The dumping location is the designated location where the raw materials are ultimately dumped. Based on the generated transport control information, the formaldehyde raw materials are moved along a preset path to the dumping location. This enables automated and precise transportation of formaldehyde raw materials, reduces manual intervention, and improves production efficiency.

[0037] S5: Generate a pouring angle and pouring speed based on environmental parameters, required mass, required concentration and weighing height, and control a preset pouring device to perform pouring.

[0038] The pouring angle refers to the angle between the pouring device and the horizontal plane during pouring. The pouring speed refers to the rate at which the raw material is poured. The pouring device is the device that pours the raw material. In this embodiment, a robotic arm is used as the pouring device. For the specific steps for generating the pouring angle and pouring speed, refer to S571 to S577. By properly controlling the pouring angle and speed, splashing and residue of the raw material during the pouring process can be reduced, volatilization losses can be reduced, the accuracy and stability of the raw material pouring can be improved, and the raw material can be smoothly poured into the container for weighing.

[0039] S6: Generate pouring volatility based on the pouring angle and pouring speed.

[0040] Poured volatilization refers to the amount of formaldehyde volatilized from the raw material during the pouring process. Different pouring angles and speeds generate different pouring volatilization amounts. This volatilization amount is determined by analyzing a pre-set pouring relationship database. This database stores a table comparing different pouring angles and speeds with pouring volatilization amounts. This database is generated by experimentally measuring and recording the volatilization of liquids at different pouring angles and speeds, along with the corresponding pouring volatilization amounts. By quantifying volatilization losses during the pouring process, we provide a basis for subsequent corrections to weighing results, improving the accuracy of weighing results.

[0041] S7: Real-time collection of content quality and content concentration.

[0042] The "in-container mass" refers to the actual mass of the formaldehyde raw material within the weighing container. The "in-container concentration" refers to the actual concentration of formaldehyde within the container. This embodiment uses a weighing sensor to measure the mass of the raw material within the container in real time, and a concentration detector, such as a spectrometer, to measure the formaldehyde concentration within the container in real time. Obtaining real-time mass and concentration information within the container provides support for subsequent data collection, facilitating timely detection of deviations during the weighing process and subsequent adjustments and corrections to ensure accurate weighing.

[0043] S8: Generate an initial weighing result based on the mass and concentration of the container.

[0044] Initial weighing results refer to preliminary weighing data, derived from the volume mass and concentration. This is determined using the volume, mass, and density formula: Density = Mass / Volume. Obtaining an initial weighing result, uncorrected for volatiles, provides a baseline for subsequent precise adjustments based on factors such as volatiles.

[0045] S9: generating a weighing adjustment result based on the dumped volatile amount and the initial weighing result, and outputting the weighing adjustment result.

[0046] The adjusted weighing result refers to the final weighing data after comprehensive consideration of the volatilization amount. Adding the dumped volatilization amount to the initial weighing result yields a weighing result closer to the true value. This effectively compensates for the impact of volatilization losses during the dumping process on the weighing, improving weighing accuracy and ensuring precise raw material placement and quality control during production. This automated weighing method for formaldehyde raw materials accurately collects data and makes real-time adjustments, reducing volatilization and wall-sticking losses, improving weighing accuracy and production efficiency. Furthermore, automated operation reduces manual intervention and the possibility of error, enhancing safety and accuracy.

[0047] Reference Figure 2 A method for automatically weighing formaldehyde raw materials also includes a method for generating a weighing environment model, comprising the following steps: S21: Retrieve volatilization rate parameters based on environmental parameters and preset physicochemical properties.

[0048] The volatility parameter measures the volatilization rate of formaldehyde under different environmental conditions. Different environmental parameters and physicochemical properties correspond to different volatility parameters, which are determined by analyzing a pre-set volatility database. This database stores a table comparing different combinations of environmental parameters and physicochemical properties with the volatility parameters. This database is generated by experimentally measuring and recording the volatilization rates of substances with different physicochemical properties under different environmental conditions. Retrieving the volatility parameter provides a key basis for the subsequent calculation of the volatilization deviation value, enabling more accurate calculation of the volatilization amount and, in turn, improving the accuracy of the weighing environment model.

[0049] S22: Generate a volatilization deviation value based on the volatilization rate parameter and the preset container material.

[0050] The container material refers to the material of the container used for weighing. In this embodiment, a material that is airtight and does not chemically react with formaldehyde is used. The volatility parameter is usually related to environmental factors such as temperature, humidity, and raw material concentration. In this embodiment, the Arrhenius equation is used as the volatility model to describe the effect of temperature on the volatility: k = A × e -[Ea / （RT）] , k is the volatilization rate constant, A is the pre-exponential factor, Ea is the activation energy, R is the gas constant, and T is the absolute temperature. The adsorption and release characteristics of the container material to formaldehyde can be described by the Langmuir isotherm model as an adsorption-release model: θ= (K×P) / (1+K×P), θ is the coverage of formaldehyde on the container surface, K is the adsorption equilibrium constant, and P is the partial pressure of formaldehyde. Calculation of volatilization deviation value: Combining the volatilization rate model and the adsorption-release model, the volatilization deviation value can be calculated. , where a and b are the start and end times respectively.

[0051] Taking into account the influence of container material on volatilization, the actual volatilization situation can be reflected more accurately, so that the weighing deviation model can more accurately describe the deviation factors in the weighing process and improve weighing accuracy.

[0052] S23: Generate a weighing deviation value based on the volatilization deviation value and the environmental history data.

[0053] Weighing deviation refers to the difference between the ideal and actual weighing values. The most important influencing factors, such as temperature, humidity, and raw material concentration, are extracted from historical environmental data and then substituted into a calculation formula. The specific formula is as follows: Weighing deviation = a1 × volatility deviation + a2 × temperature + a3 × humidity + a4 × raw material concentration + b, where a1, a2, a3, a4, and b are coefficients obtained by technicians through fitting historical data. By combining historical data, the weighing deviation value can comprehensively reflect the weighing deviation caused by multiple factors, providing key data support for the subsequent construction of an accurate weighing deviation model.

[0054] S24: Substituting the weighing deviation value into a preset weighing model to obtain a weighing deviation model, and using the weighing deviation model as a weighing environment model.

[0055] A weighing model is a pre-established general model for weighing. A weighing deviation model is a mathematical model that describes the patterns of weighing deviation. The obtained weighing deviation values ​​are substituted into the pre-set weighing model, which is then modified and optimized to obtain a weighing deviation model specifically tailored to the current environment, serving as the weighing environment model. This allows the weighing model to accurately adapt to the current actual weighing environment, effectively improving the accuracy of subsequent calculations and controls based on the model. Weighing models are state-of-the-art and will not be discussed in detail here.

[0056] A method for automatically weighing formaldehyde raw materials, further comprising generating transportation control information based on a required mass, a required concentration, and a weighing environment model, comprising the following steps: S31: Calculate the initial raw material delivery amount based on the weighing environment model, required mass and required concentration.

[0057] The initial raw material delivery rate is the starting delivery rate calculated using the weighing environment model. The formula for calculating the initial raw material delivery rate is as follows: Initial raw material delivery rate = Required mass / [Required concentration × (1 - Adsorption rate)], where the adsorption rate is the percentage of raw material that can be adsorbed on the container surface, calculated based on the container material properties in the weighing environment model. This provides a theoretical initial raw material delivery rate, paving the way for generating accurate transportation control information.

[0058] S32: Generate initial transportation control information based on the initial raw material delivery amount.

[0059] Initial transport control information refers to preliminary transport instructions generated based on the initial transport volume. Different initial raw material transport volumes correspond to different initial transport control information, which is determined by analyzing a pre-set transport control database. The transport control database pre-stores a table comparing different initial raw material transport volumes with initial transport control information. This database is generated by experimentally measuring and recording the operating status of the transport system and the corresponding control requirements under different initial raw material transport volumes. This generated initial transport control information provides preliminary control parameters for the transport device, ensuring that it roughly meets transport requirements. This information can then be adjusted and optimized based on actual conditions.

[0060] S33: Collect the original mass and original concentration of formaldehyde.

[0061] The original mass refers to the actual mass of the formaldehyde raw material to be transported. The original concentration refers to the actual concentration of the formaldehyde raw material to be transported. In this embodiment, the original mass and original concentration information are obtained by scanning the barcode on the packaging with a camera.

[0062] S34: Determine whether the original mass is consistent with the required mass, and whether the original concentration is consistent with the required concentration.

[0063] Compare the collected original quality with the required quality, and compare the original concentration parameters with the required concentration parameters to determine whether the raw materials meet the requirements and decide whether adjustments or replacements are needed to ensure that the raw materials entering the subsequent process meet production needs.

[0064] S35: If they are consistent, the initial transport control information is used as the transport control information.

[0065] When the raw materials meet the requirements, the initial transportation control information can be directly used as transportation control information and transported according to the initial plan, saving time, improving production efficiency, and ensuring the smooth progress of the production process.

[0066] S36: If there is inconsistency, raw material abnormality information is generated based on the original mass, original concentration and the required mass, required concentration.

[0067] Raw material anomaly information describes whether a raw material does not meet the required quality and concentration. If the original mass or concentration does not match the required mass or concentration, an anomaly such as quality deviation or concentration discrepancy is recorded, generating a raw material anomaly information. The original mass and concentration are obtained by scanning the barcode on the packaging. The required mass and concentration are determined based on the production plan or user requirements. The original mass is compared with the required mass to calculate the mass deviation; the original concentration is compared with the required concentration to calculate the concentration deviation and record the deviation. The quality and concentration anomalies are combined to form a complete raw material anomaly information. For example, suppose the required mass is 10 kg and the required concentration is 30%. The original mass obtained by scanning the barcode is 8.5 kg, and the original concentration is 28%. Therefore, the mass deviation = required mass - original mass = 10 kg - 8.5 kg = +1.5 kg. The concentration deviation = required concentration - original concentration = 30% - 28% = +2%. Raw material anomaly information: The mass deviation is +1.5 kg, and the concentration deviation is +2%. These steps can clearly identify any raw material issues, providing a basis for subsequent targeted adjustments.

[0068] S37: Generate raw material adjustment information based on the raw material abnormality information and the weighing environment model.

[0069] Raw material adjustment information provides guidance for adjusting raw materials. Based on current environmental parameters, an environmental correction factor is determined, which is then used to calculate the mass and concentration adjustments, ultimately generating an adjustment plan. If the mass deviation is positive, the feed rate is increased; if the concentration deviation is positive, the concentration is increased through evaporation or the addition of a high-concentration solution to ensure the raw materials meet production requirements. The mass adjustment amount = mass deviation × (1 + environmental correction factor), the concentration adjustment amount = concentration deviation × (1 + environmental correction factor), and the environmental correction factor = environmental reference value / current environmental value. The environmental correction factor is retrieved from the weighing environment model, and the impact of environmental changes on output is calculated to correct for the output. A reasonable adjustment plan is then provided to ensure that the raw materials meet the required mass and concentration, ensuring smooth production. For example, assume the required mass is 10 kg and the required concentration is 30%. The original mass obtained by scanning the barcode is 8.5 kg and the original concentration is 28%. The current environmental parameters are temperature 25°C, humidity 60%, and air pressure 101.3 kPa. The environmental correction factor is 0.02. Mass deviation = 10kg - 8.5kg = 1.5kg, concentration deviation = 30% - 28% = 2%, mass adjustment = 1.5kg × (1 + 0.02) = 1.53kg, concentration adjustment = 2% × (1 + 0.02) = 2.04%. In summary, the delivery adjustment is to increase the conveying speed of the conveyor or extend the delivery time to deliver an additional 1.53 kg of raw materials. Concentration adjustment is to increase the concentration by 2.04% by evaporating some of the water by heating or adding an appropriate amount of high-concentration formaldehyde solution.

[0070] S38: Selecting raw material replacement data from a preset raw material database based on the raw material adjustment information.

[0071] Raw material replacement data refers to the type and quantity of raw materials that will be replaced with qualified raw materials. This includes the type and quantity of the replacement raw materials. Based on the raw material adjustment information, the preset raw material database is searched for replacement data that matches the currently abnormal raw material, and the type, quantity, and other parameters of the replacement raw material are determined. This provides accurate data support for replacing unqualified raw materials, ensuring that suitable substitutes can be found in a timely manner and ensuring production continuity.

[0072] S39: Generate replacement transportation control information based on the raw material replacement data and use it as transportation control information.

[0073] Replacement transport control information refers to transport control instructions for replacement raw materials. Based on the selected raw material replacement data, new transport control information is generated, controlling the transport device to transport the replacement raw material to the dumping location. This enables the replacement of substandard raw materials, ensuring that the raw materials entering production meet the required quality and concentration, and improving product quality reliability.

[0074] A method for automatically weighing formaldehyde raw materials, further comprising the steps of generating a pouring angle and a pouring speed based on environmental parameters, a required mass, a required concentration, and a weighing height, and controlling a preset pouring device to perform pouring, the steps comprising: S51: Collecting image detection information and the volume of raw materials in the weighing container.

[0075] Image detection information refers to image data captured within the weighing container using a camera or other device. The raw material volume refers to the volume of formaldehyde raw material within the weighing container. Imaging sensors capture the interior of the weighing container, acquiring real-time image data and providing visual information for subsequent analysis. An ultrasonic level meter installed in the container transmits and receives ultrasonic waves, measures the raw material level, and calculates the volume based on the container's cross-sectional area. This intuitively reflects the state of the raw material within the container, facilitating timely detection of abnormalities such as wall buildup, providing a basis for subsequent processing.

[0076] S52: Identify wall-hanging features from the image detection information and mark them.

[0077] Wall-sludge features refer to the specific shape and location of raw materials adhering to the container wall. Image recognition algorithms analyze and process the acquired image detection information to identify and mark the areas of wall-sludge for subsequent processing. Accurately locating the location and shape of the wall-sludge provides precise information for subsequent targeted removal, improving processing efficiency and effectiveness. Image recognition algorithms are currently available and will not be discussed in detail here.

[0078] S53: Generate and execute wall hanging processing information based on the wall hanging features.

[0079] Sludge removal information refers to instructions or solutions for removing sludge. Based on sludge characteristics, such as location and area, appropriate sludge removal information, such as instructions to activate a vibration removal device, is generated and the corresponding removal operation is executed. This effectively removes sludge, minimizing material loss and preventing sludge from impacting subsequent weighing and production accuracy.

[0080] S54: Only when the mass in the container meets the required mass or only when the volume of the raw material in the container meets the preset required volume of the raw material, obtain the deviation concentration in the container based on the mass in the container and the volume of the raw material in the container.

[0081] The preset required raw material volume is the pre-set required volume, set by the technician. The deviation concentration in the container refers to the concentration of the raw material in the current weighing container. The deviation concentration in the container is calculated as: Required mass / Raw material volume. The real-time collected container mass is compared with the required mass, and the raw material volume is compared with the preset required raw material volume. Only when one of these two conditions is met, indicating that the density does not meet the required concentration, will subsequent operations proceed. If both conditions are met, indicating that the concentration is correct, no further operations are required. This ensures that subsequent corrections are only made when the container mass or raw material volume meets the requirements, improving production efficiency and quality control accuracy.

[0082] S55: Obtain a density correction factor based on the deviation concentration in the container and the weighing environment model.

[0083] Density correction factor refers to the coefficient used to adjust the density of the raw material, which is used to more accurately calculate the actual mass. The calculation formula is as follows: Correction of the ideal gas state equation: ρ c =ρ m × (P s / P m )×(T m / T s ), the empirical formula considering the influence of concentration: ρ c =ρ m ×[1+k×(C m -C s )], the correction formula for comprehensive environmental factors and concentration effects: ρ c =ρ m × (P s / P m )×(T m / T s )×[1+k×(C m -C s )], where ρ c is the corrected density; ρ m is the currently measured density; P s is the standard pressure; P m is the current pressure; T m is the current temperature; T s is the standard temperature; k is the coefficient, which indicates the degree of influence of concentration change on density, obtained by technicians through experiments; C m is the current concentration; C s The standard concentration is taken into account. The impact of environmental factors and concentration changes on the density of raw materials can be more accurately calculated to improve weighing accuracy.

[0084] S56: Calculate the corrected mass based on the density correction coefficient, and control the preset replenishing device to replenish based on the corrected mass.

[0085] Corrected mass refers to the raw material mass after density correction. The calculated density correction factor is applied to the mass calculation formula to obtain the corrected mass value, which controls the replenishment device to add the appropriate amount of raw material to the container. By compensating for mass deviations caused by density changes, the raw material quality in the container meets the requirements and ensures product quality stability.

[0086] A method for automatically weighing formaldehyde raw materials further includes generating wall hanging processing information based on wall hanging characteristics, including the following steps: S531: Extracting the wall type, location distribution, and wall area from the wall features.

[0087] The type of formaldehyde solution deposited on the container's sidewalls is determined by the type of deposit, such as uniform deposits or localized clumping. The location distribution refers to the specific location of the deposit on the container wall. The area of ​​the deposit is the area occupied by the deposit. Image analysis algorithms extract detailed information such as the type, location distribution, and area of ​​the deposit from the deposit features. This provides accurate data support for subsequent loss calculation and selection of appropriate removal parameters.

[0088] S532: Calculate an initial loss value based on the wall hanging type, location distribution, wall hanging area, and a preset formaldehyde adhesion coefficient table.

[0089] The Formaldehyde Adhesion Coefficient table describes the adhesion characteristics of materials with varying formaldehyde concentrations. The Initial Loss Value is a preliminary calculation of the amount of raw material lost based on the amount of formaldehyde sticking to the wall.

[0090] Based on the type and location of the sticking, look up the corresponding adhesion coefficient from the material adhesion coefficient table. Different sticking types (e.g., uniform sticking, localized clumping), and location distributions (e.g., top, middle, and bottom) will result in different adhesion coefficients. The following formula is used to calculate the initial loss value: Initial loss value = Sticking area × Adhesion coefficient × Correction factor. The correction factor is determined based on actual experience or experimental data and is used to correct for deviations caused by other factors, such as environmental conditions and raw material characteristics. Combining the sticking type, location distribution, area, and data from the material adhesion coefficient table, a mathematical model is used to calculate an initial loss value.

[0091] S533: When the initial loss value is greater than the preset loss reference value, corresponding vibration cleaning parameters are matched from a preset vibration cleaning parameter library based on the wall hanging type and position distribution.

[0092] The loss baseline value is the standard value for wall buildup loss, used to determine whether treatment is necessary. The vibration cleaning parameter library is a database used to select vibration cleaning parameters. These parameters include vibration frequency, amplitude, and duration. When the initial loss value exceeds the loss baseline value, the corresponding vibration cleaning parameters are searched and retrieved from the preset vibration cleaning parameter library based on the wall buildup type and location. Appropriate vibration cleaning parameters are matched to different wall buildup situations to improve cleaning effectiveness and minimize adverse effects on equipment and raw materials.

[0093] S534: Generate a vibration clearing instruction based on the vibration clearing parameter and the image detection information, and use the vibration clearing instruction as the wall hanging processing information.

[0094] Vibration removal commands control the vibrator to remove wall debris. By acquiring matching vibration removal parameters and real-time image detection information, the corresponding vibration removal commands are adjusted in real time to control the vibrator's operating state. The specific generation steps refer to S5341 to S5347 to ensure that the vibration removal operation is accurately executed according to the real-time wall debris situation and preset parameters, effectively removing the wall debris and restoring the equipment to normal operation.

[0095] A method for automatically weighing formaldehyde raw materials further includes generating a vibration cleaning instruction based on vibration cleaning parameters and image detection information, including the following steps: S5341: Based on the image detection information, determine the vibration position, vibration duration and vibration frequency, and control the preset vibrator to vibrate.

[0096] The vibration location refers to the specific location where the vibrator is applied. A vibrator is a device used for vibration. The vibration duration refers to the duration of the vibrator's vibrations. The vibration frequency refers to the number of vibrations per unit time. Image recognition algorithms analyze image detection information to accurately identify the location distribution of wall debris and determine the specific location of the vibrator. Furthermore, based on the area and severity of the wall debris, combined with experimental data and empirical formulas, the appropriate vibration duration and frequency required for wall debris removal are calculated. The vibrator's vibration parameters are then set and controlled to operate according to these parameters. The specific calculation results are as follows: Vibration duration = wall debris area × proportionality constant. The proportionality constant is determined by experimentally measuring the minimum vibration duration required for wall debris removal at different wall debris areas. f = α × S + β, where f is the vibration frequency and α and β are empirical coefficients obtained through experimental calibration. Precisely controlling vibration operation allows for targeted wall debris removal, preventing damage to equipment and materials caused by excessive vibration, and improving removal efficiency and quality.

[0097] S5342: Determine whether the wall hanging area is smaller than a preset wall hanging reference area.

[0098] The wall hanging reference area is the pre-set minimum area where wall hanging is allowed to occur. Real-time image detection is used to obtain the current wall hanging area and compare it with the preset wall hanging reference area to promptly determine whether the wall hanging removal has achieved the desired effect.

[0099] S5343: If the wall hanging area is smaller than the preset wall hanging reference area, a preset stop vibration instruction is output as a vibration clearing instruction.

[0100] If the reference area is met, vibration is stopped to avoid waste of resources and equipment loss.

[0101] S5343: If the wall hanging area is not less than the preset wall hanging reference area, then obtaining a power consumption value and a cleaning efficiency value corresponding to a preset vibration point.

[0102] Power consumption refers to the amount of energy, such as electricity, consumed per unit time at a vibration point. Removal efficiency refers to the area or volume of debris removed per unit time. If the debris area does not reach the baseline, the power consumption and removal efficiency values ​​corresponding to the preset vibration points are searched. By obtaining energy consumption and removal efficiency data for different vibration points, we can subsequently select the optimal vibration point, achieving energy-efficient and efficient removal.

[0103] S5345: Calculate the energy efficiency ratio based on the power consumption value and the cleaning efficiency value and select the frequency vibration point with the largest energy efficiency ratio as the main vibration point.

[0104] The energy efficiency ratio (EER) is the ratio of removal efficiency to power consumption. The primary vibration point is the vibration point with the highest EER. The calculation formula is as follows: EER = Removal Efficiency / Power Consumption. The EERs of all vibration points are calculated and compared, and the point with the highest EER is selected as the primary vibration point. Selecting the optimal vibration point for corrective vibration increases removal efficiency while reducing energy consumption, optimizing the removal process, and improving overall equipment performance.

[0105] S5346: Generate a vibration correction value of the main vibration point based on the main vibration point and the vibration clearance parameter.

[0106] The vibration correction value refers to the adjustment value after adjusting the vibration parameters of the main vibration point. After completing the selection of the main vibration point, in order to further optimize the vibration cleaning effect, it is necessary to generate a correction value for adjusting the vibration parameters based on the vibration cleaning parameters and the actual working status of the main vibration point. First, the energy efficiency ratio calculated by combining the power consumption value and the cleaning efficiency value is used to evaluate the performance of the current vibration parameters in cleaning wall hangings. Vibration parameters with a high energy efficiency ratio mean that better cleaning effects can be achieved at lower power consumption; secondly, based on the energy efficiency ratio and the actual cleaning situation of the wall hangings, the correction direction of the vibration parameters is determined; finally, based on the preset correction algorithm or empirical formula, combined with the current vibration cleaning parameters and the working status of the main vibration point, the specific correction value is calculated. The specific calculation formulas are as follows: Correction algorithm based on energy efficiency ratio: Correction value = original vibration parameter × [1 + k × (target energy efficiency ratio - current energy efficiency ratio)]; Correction algorithm based on clearance target: Correction value = original vibration parameter × {1 + k × [(current wall hanging area - reference wall hanging area) / reference wall hanging area]}; Correction formula based on vibration point experience: Correction value = original vibration parameter × (1 + p × energy efficiency ratio + q × wall hanging area); where the correction value is the adjustment value of the vibration frequency, amplitude or time of the main vibration point; the original vibration parameter is the current vibration frequency, amplitude or time, the amplitude refers to the amplitude of the vibrator vibration, which can be measured by a vibration sensor; the time refers to the duration of the vibrator vibration, which can be recorded by a timer or the clock function in the control system; k is the correction coefficient, which is determined through experiments; the target energy efficiency ratio is the desired energy efficiency ratio; the current energy efficiency ratio is the current energy efficiency ratio; the current wall hanging area is the currently detected wall hanging area; the reference wall hanging area is the preset wall hanging reference area; p and q are correction coefficients, which are determined through experiments. By adjusting the vibration parameters through the above calculation formula, the cleaning effect can be further improved, the wall hanging area can be ensured to meet the requirements, and the normal operation of the equipment and the accurate weighing of the raw materials can be guaranteed.

[0107] S5347: Control a preset vibrator to vibrate based on the vibration correction value until a preset wall-hanging reference area is met.

[0108] Based on the calculated vibration correction value, the vibrator is controlled to vibrate according to the corrected parameters at the main vibration point until the wall hanging area meets the preset reference area. By adjusting the vibration parameters, the cleaning effect is further improved, ensuring that the wall hanging area meets the required area, ensuring the normal operation of the equipment and the accurate weighing of raw materials.

[0109] A method for automatically weighing formaldehyde raw materials, further comprising obtaining a density correction factor based on the concentration in the container and a weighing environment model, comprising the following steps: S551: Collect pressure data at preset points.

[0110] Preset points are pre-set pressure measurement locations. Pressure data refers to the pressure values ​​at each pre-set point. Pressure sensors built into the weighing container collect real-time pressure data at multiple preset points within the container. Obtaining pressure data at various locations within the container provides comprehensive data support for subsequent force distribution analysis and facilitates accurate calculation of density correction factors.

[0111] S552: Generate a purity compensation signal based on the concentration in the container, the required mass, and the required concentration.

[0112] A purity compensation signal is a compensation instruction generated based on the difference between the container concentration and the required concentration. Combining the container concentration, required mass, and required concentration, mathematical operations and logical reasoning are used to generate a signal to compensate for purity deviations. First, the difference between the container concentration and the required concentration is calculated, and the proportional coefficient is determined based on the required mass to generate the compensation signal. Second, the ratio of the container concentration to the required concentration is calculated, and the required mass is adjusted accordingly to generate the compensation signal. Furthermore, multiple concentration intervals are set, each corresponding to different compensation logic, and a corresponding compensation signal is generated based on the container concentration interval. The difference between the container concentration and the required concentration can also be integrated to allow the compensation signal to account for historical deviations. Finally, fuzzy logic is used to divide the concentration difference into multiple fuzzy sets, preset compensation rules, and perform fuzzy reasoning to generate the compensation signal. These methods can be used individually or in combination according to actual needs to ensure that the raw material purity meets requirements.

[0113] Taking into account the impact of concentration differences on density, a corresponding compensation signal is generated to provide a correction basis for the subsequent integration of pressure data to form force distribution, thereby improving the accuracy of density correction.

[0114] S553: ​​Integrate the pressure data based on the purity compensation signal to form a force distribution.

[0115] Force distribution refers to the distribution of pressure at each point in the container. The purity compensation signal reflects the purity deviation of the raw material, which affects the density and force of the raw material. By applying the purity compensation signal to the pressure data, the pressure value of each point is adjusted to compensate for the influence of purity difference on force. The specific method is to calculate the purity deviation, pre-set a proportional coefficient based on the physical and chemical properties of the raw material, and then calculate it through the compensation coefficient calculation formula to obtain the compensation coefficient. The compensation coefficient calculation formula is as follows: compensation coefficient = 1 + k × purity deviation, where k is the proportional coefficient. Finally, after adjusting the compensation coefficient for each pressure data, the force distribution is formed according to the distribution of the position, so that the pressure data is mapped to the geometric model of the container, and the force conditions in different areas are intuitively displayed, providing a reliable data basis for the subsequent generation of the force reference distribution, which helps to more accurately calculate the density correction coefficient.

[0116] S554: Generate a force reference distribution based on environmental parameters, force distribution, and preset physical and chemical properties.

[0117] The reference force distribution refers to the distribution of pressure at various points within a container. First, a preliminary reference force distribution is selected based on the force distribution. This initial reference force distribution reflects the pressure distribution at various points within the container under standard environmental conditions. Then, environmental parameters and physicochemical properties are collected to adjust the initial reference force distribution to correct for the effects of environmental changes on the force distribution. Finally, these adjusted data are integrated to generate the final reference force distribution, which provides the basis for the subsequent calculation of the density correction factor.

[0118] For example, under standard ambient conditions, temperature 25°C, and air pressure 101.3 kPa, the pressure distribution of the formaldehyde solution in the container is as follows: When the force distribution is bottom pressure: 98Pa, middle pressure: 48Pa, top pressure: 19Pa.

[0119] The initial force reference distribution is selected as bottom pressure: 100Pa, middle pressure: 50Pa, and top pressure: 20Pa.

[0120] The current environmental parameters are 30°C and 102.0 kPa. The preset physical and chemical properties are that the density decreases by 0.5% for every 1°C increase in temperature and increases by 0.1% for every 1 kPa increase in pressure.

[0121] Effect of temperature change: Δdensity (temperature) = -0.5% × (30-25) = -2.5%; Effect of air pressure change: Δdensity (air pressure) = 0.1% × (102.0-101.3) = 0.07%; Total density change: Δdensity = -2.5% + 0.07% = -2.43%, Bottom pressure: Initial pressure: 100Pa. Due to the 2.43% decrease in density, the pressure decreases by 2.43%: 100Pa×0.9757=97.57Pa.

[0122] Middle pressure: Initial pressure: 50Pa. Due to the 2.43% decrease in density, the pressure decreases by 2.43%: 50Pa×0.9757=48.785Pa.

[0123] Top pressure: Initial pressure: 20Pa; due to the 2.43% decrease in density, the pressure decreases by 2.43%: 20Pa×0.9757=19.514Pa.

[0124] The integrated data generates the final force reference distribution: bottom pressure: 97.57Pa, middle pressure: 48.785Pa, top pressure: 19.514Pa.

[0125] S555: Generate a density correction coefficient based on the force distribution and the force reference distribution.

[0126] First, calculate the difference between the actual force distribution and the reference force distribution, quantify the degree of difference, compare the reference force distribution with the actual force distribution, and obtain the comparison result. The comparison result includes point-by-point force difference and relative difference. The point-by-point force difference is obtained by calculating the force difference of each corresponding point between the actual force distribution and the reference force distribution. The relative difference is obtained by calculating the percentage difference of the actual force at each point relative to the reference force. Then, use the root mean square error and the mean absolute error to quantify the overall degree of difference to obtain a distribution difference. Different distribution differences correspond to different density correction coefficients. The density correction coefficient is obtained by querying a preset density correction coefficient database. The density correction coefficient database pre-stores a comparison table of density correction coefficients corresponding to different distribution differences. The density correction coefficient database is obtained by technicians conducting experiments on different distribution differences in sequence. The root mean square error and the mean absolute error are existing technologies and will not be described here. By providing a standard force distribution reference, it is convenient to compare and analyze with the actual force distribution, find out the deviation, and provide key comparison data for the calculation of the density correction coefficient.

[0127] A method for automatically weighing formaldehyde raw materials, further comprising generating a pouring volatile amount based on a pouring angle and a pouring speed, comprising the following steps: S61: Obtain the dumping time based on the dumping speed and the required quality.

[0128] Dumping time refers to the time required to complete the dumping of raw materials. It is calculated as follows: Dumping time = Required mass (kg) / Dumping speed (kg / s). Determining the required dumping time provides the necessary parameters for subsequent calculation of the volatile base amount, helping to accurately quantify volatile losses during the dumping process.

[0129] S62: Based on the volatilization rate parameter and the pouring time, the volatilization base amount is calculated.

[0130] The base volatilization amount refers to the amount of formaldehyde volatilized during a normal pouring time. The base volatilization amount is calculated by multiplying the volatilization rate parameter by the pouring time. Calculating the base volatilization amount without other interfering factors provides the foundation for calculating the total volatilization amount after considering various factors.

[0131] S63: Determine the splash coefficient based on the pouring speed and the weighing height.

[0132] The splash coefficient is a parameter that describes the effect of splashing during pouring on volatility. Different pouring speeds and weighing heights correspond to different splash coefficients, which are determined by analyzing a pre-set splash coefficient database. This database contains a table comparing different pouring speeds and weighing heights with the splash coefficients. This database is generated by experimentally measuring and recording the splashing behavior of liquids at different pouring speeds and weighing heights, along with the corresponding splash coefficients. This database considers the increased volatility caused by splashing, providing a basis for calculating the volatility during pouring, making the calculation more comprehensive and accurate.

[0133] S64: Based on the splash coefficient and the pouring time, the pouring volatile amount is calculated.

[0134] Tipping volatiles refer to the additional volatiles released due to factors such as splashing during pouring. Calculate the tipping volatiles by multiplying the splashing coefficient by the pouring duration. This improves the accuracy of volatile calculations and, consequently, weighing precision.

[0135] S65: Add the volatile base amount to the poured volatile amount to obtain the volatile adjustment amount as the poured volatile amount.

[0136] The volatility adjustment refers to the final calculated total dumped volatiles. Adding the base volatiles to the dumped volatiles yields the volatility adjustment, which serves as the dumped volatiles. By comprehensively considering the impact of various factors on volatility, a more accurate dumped volatiles volume is obtained, providing reliable data for subsequent weighing corrections and ensuring weighing accuracy.

[0137] A method for automatically weighing formaldehyde raw materials, further comprising the steps of generating a pouring angle and a pouring speed based on environmental parameters, a required mass, a required concentration, and a weighing height, and controlling a preset pouring device to perform pouring, the steps comprising: S571: Generate an estimated output time based on the preset output speed and required quality.

[0138] Output speed refers to the preset rate at which raw materials are delivered. Estimated output time is the estimated time required for delivery. This is determined based on the required mass and output speed. The estimated output time is calculated by dividing the required mass by the preset output speed. Estimating the time required for raw material delivery in advance provides time parameters for subsequent compensation calculations, allowing for optimal scheduling of replenishment operations.

[0139] S572: Generate an output compensation amount based on the estimated output time, the concentration in the container, the required concentration, and the weighing environment model.

[0140] Output compensation refers to the amount of raw material added to compensate for losses during the output process. Based on the estimated output time, container concentration, required concentration, and the weighing environment model, mathematical modeling and calculations are used to calculate the following formula: Basic output = Required mass × Required concentration / Container concentration; Time adjustment factor = Estimated output time / Standard output time; Environmental correction factor = Environmental reference value / Current environmental value; Output compensation = Basic output × Time adjustment factor × Environmental correction factor. The basic output formula ensures that the output raw material meets the required mass after concentration adjustment. The time adjustment factor adjusts the basic output based on the estimated output time to account for the effects of time variations on output. The environmental correction factor adjusts based on parameters in the weighing environment model, such as temperature and humidity, to compensate for environmental variations. The final output compensation comprehensively considers the effects of required mass, concentration variations, estimated output time, and environmental factors. The output compensation is calculated by considering losses caused by various factors during the output process and calculating a reasonable compensation amount to ensure that the final raw material quantity meets the required mass.

[0141] S573: Perform comprehensive calculation based on the output compensation amount and the dumping volatilization amount to obtain the replenishment adjustment amount.

[0142] The feed adjustment is the final amount of raw material to be added, determined after comprehensive consideration of various factors, such as splashing and volatilization caused by dumping and input. The feed adjustment is calculated by weighted summation of the output compensation and the dumping volatilization. By combining multiple compensations, a more accurate feed amount is determined, improving raw material feeding accuracy and ensuring that weighing results meet requirements.

[0143] S574: Generate dumping time based on the added adjustment amount and the dumping speed.

[0144] Dumping time refers to the actual time required for dumping, calculated based on the added adjustment amount and the dumping speed. Based on the added adjustment amount and the dumping speed, the dumping time is calculated using the formula: time equals the adjustment amount divided by the speed. Determining an appropriate dumping time ensures that the dumping operation matches the added amount, ensuring a coordinated process and improving production efficiency.

[0145] S575: Generate the final replenishment amount based on the pouring time, the concentration in the container, the required concentration and the weighing environment model.

[0146] The final feed quantity refers to the final amount of raw material required. This amount is calculated and adjusted based on the pouring time, container concentration, desired concentration, and the weighing environment model. The specific calculation formula is as follows: Final feed quantity = (Required mass × Required concentration / Container concentration) × (1 + Environmental correction factor × pouring time). For example, assuming a desired mass of 10 kg, a desired concentration of 30%, a container concentration of 25%, an environmental correction factor of 0.01, and a pouring time of 2 minutes, the base feed quantity = 10 kg × 30% / 25% = 12 kg. The correction factor = 1 + 0.01 × 2 = 1.02, resulting in a final feed quantity = 12 kg × 1.02 = 12.24 kg. Therefore, under these conditions, 12.24 kg of raw material is ultimately required to achieve the target mass and concentration. Through comprehensive consideration of multiple factors and multiple adjustments and calculations, the most accurate feed quantity is determined to ensure accurate raw material quality and consistent product quality.

[0147] S576: Based on the final replenishment amount, the preset replenishment device is controlled to inject into the preset measuring container in advance.

[0148] The control feeding device injects the corresponding amount of raw materials into the measuring container in advance according to the final feeding amount. The advance feeding of raw materials avoids the shortage of raw materials due to delays in the dumping or output process, ensures the continuity and accuracy of the weighing process, and improves production efficiency.

[0149] Based on the same inventive concept, an embodiment of the present invention provides an automatic weighing system for formaldehyde raw materials, comprising: An acquisition module is used to obtain environmental parameters, environmental historical data, required mass, required concentration and weighing height, container mass and container concentration; A memory for storing a program such as the above-mentioned method for automatically weighing formaldehyde raw materials; The processor can load and execute the program in the memory.

[0150] Based on the same inventive concept, an embodiment of the present invention provides a terminal including a memory and a processor, wherein the memory stores a method for automatically weighing formaldehyde raw materials as described above, which can be loaded and executed by the processor.

[0151] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0152] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiment. All technical solutions based on the concept of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for automatically weighing formaldehyde raw materials, characterized in that: include: S1: Real-time collection of environmental parameters, environmental historical data, required quality, required concentration and weighing height inside the preset weighing device; S2: generating a weighing environment model based on the environmental parameters, the environmental historical data and preset physical and chemical properties; S3: generating transportation control information based on the required mass, the required concentration, and the weighing environment model; S4: controlling a preset transport device based on the transport control information to transport the formaldehyde raw material to a preset dumping location; S5: generating a pouring angle and a pouring speed based on the environmental parameters, the required mass, the required concentration, and the weighing height, and controlling a preset pouring device to perform pouring; S6: generating a pouring volatile amount based on the pouring angle and the pouring speed; S7: Real-time collection of content quality and content concentration; S8: generating an initial weighing result based on the mass in the container and the concentration in the container; S9: generating a weighing adjustment result based on the pouring volatile amount and the initial weighing result, and outputting the weighing adjustment result.

2. The method for automatically weighing formaldehyde raw materials according to claim 1, characterized in that: The method for generating the weighing environment model includes: S21: Retrieving volatilization rate parameters based on the environmental parameters and preset physicochemical properties; S22: generating a volatilization deviation value based on the volatilization rate parameter and a preset container material; S23: generating a weighing deviation value based on the volatilization deviation value and the environmental history data; S24: Substituting the weighing deviation value into a preset weighing model to obtain a weighing deviation model, and using the weighing deviation model as the weighing environment model.

3. The method for automatically weighing formaldehyde raw materials according to claim 1, characterized in that: Generating transportation control information based on the required mass, the required concentration, and the weighing environment model includes: S31: Calculating an initial raw material delivery amount based on the weighing environment model, the required mass, and the required concentration; S32: generating initial transportation control information based on the initial raw material delivery amount; S33: Collect the original mass and original concentration of formaldehyde; S34: Determine whether the original mass is consistent with the required mass, and whether the original concentration is consistent with the required concentration; S35: If they are consistent, the initial transport control information is used as the transport control information; S36: If there is inconsistency, generating raw material abnormality information based on the original mass, the original concentration and the required mass, the required concentration; S37: generating raw material adjustment information based on the raw material abnormality information and the weighing environment model; S38: selecting raw material replacement data from a preset raw material database based on the raw material adjustment information; S39: Generate replacement transportation control information based on the raw material replacement data and use it as transportation control information.

4. The method for automatically weighing formaldehyde raw materials according to claim 1, characterized in that: The steps after generating a pouring angle and a pouring speed based on the environmental parameters, the required mass, the required concentration, and the weighing height and controlling a preset pouring device to perform pouring include: S51: Collecting image detection information and the volume of raw materials in the weighing container; S52: Identify wall-hanging features from the image detection information and mark them; S53: generating and executing wall hanging processing information based on the wall hanging feature; S54: only when the mass in the container meets the required mass or only when the volume of the raw material in the container meets the preset required volume of the raw material, obtaining a deviation concentration in the container based on the mass in the container and the volume of the raw material in the container; S55: Obtaining a density correction coefficient based on the deviation concentration in the container and the weighing environment model; S56: Calculate the corrected mass based on the density correction coefficient, and control the preset replenishing device to perform replenishment based on the corrected mass.

5. The method for automatically weighing formaldehyde raw materials according to claim 4, characterized in that: Generating the wall hanging processing information based on the wall hanging feature includes: S531: Extracting the wall type, location distribution, and wall area from the wall features; S532: Calculating an initial loss value based on the wall hanging type, the position distribution, the wall hanging area, and a preset formaldehyde adhesion coefficient table; S533: When the initial loss value is greater than a preset loss reference value, corresponding vibration removal parameters are matched from a preset vibration removal parameter library based on the wall hanging type and the position distribution; S534: Generate a vibration clearing instruction based on the vibration clearing parameter and the image detection information, and use the vibration clearing instruction as the wall hanging processing information.

6. The method for automatically weighing formaldehyde raw materials according to claim 5, characterized in that: Generating a vibration clearing instruction based on the vibration clearing parameter and the image detection information includes: S5341: Determine the vibration position, vibration duration, and vibration frequency based on the image detection information, and control a preset vibrator to vibrate; S5342: Determine whether the wall hanging area is smaller than a preset wall hanging reference area; S5343: If the wall hanging area is smaller than the preset wall hanging reference area, output a preset stop vibration instruction as a vibration clear instruction; S5343: If the wall hanging area is not less than the preset wall hanging reference area, obtaining a power consumption value and a cleaning efficiency value corresponding to a preset vibration point; S5345: Calculating an energy efficiency ratio based on the power consumption value and the removal efficiency value and selecting the frequency vibration point with the largest energy efficiency ratio as the main vibration point; S5346: generating a vibration correction value of the main vibration point based on the main vibration point and the vibration elimination parameter; S5347: Control a preset vibrator to vibrate based on the vibration correction value until a preset wall-hanging reference area is met.

7. The method for automatically weighing formaldehyde raw materials according to claim 4, characterized in that: The density correction coefficient obtained based on the volume concentration and the weighing environment model includes: S551: Collect pressure data of preset points; S552: Generate a purity compensation signal based on the concentration in the container, the required mass, and the required concentration; S553: ​​Integrating the pressure data to form a force distribution based on the purity compensation signal; S554: Generate a force reference distribution based on the environmental parameters, the force distribution, and preset physical and chemical properties; S555: Generate the density correction coefficient based on the force distribution and the force reference distribution.

8. The method for automatically weighing formaldehyde raw materials according to claim 2, characterized in that: Generating the pouring volatile amount based on the pouring angle and the pouring speed includes: S61: Obtaining a dumping time based on the dumping speed and the required quality; S62: Calculating a volatilization base amount based on the volatilization rate parameter and the pouring time; S63: Determine a splash coefficient based on the pouring speed and the weighing height; S64: Calculating a volatilization additional amount based on the splash coefficient and the pouring time; S65: Add the volatile base amount to the volatile additional amount to obtain a volatile adjustment amount as the pouring volatile amount.

9. The method for automatically weighing formaldehyde raw materials according to claim 8, characterized in that: The step of generating a pouring angle and a pouring speed based on the environmental parameters, the required mass, the required concentration, and the weighing height and controlling a preset pouring device to perform pouring further includes: S571: Generate an estimated output time based on a preset output speed and the required quality; S572: generating an output compensation amount based on the estimated output time, the internal concentration, the required concentration, and the weighing environment model; S573: Perform comprehensive calculation based on the output compensation amount and the dumped volatilization amount to obtain a replenishment adjustment amount; S574: generating a dumping time based on the replenishment adjustment amount and the dumping speed; S575: generating a final replenishment amount based on the pouring time, the concentration in the container, the required concentration, and the weighing environment model; S576: Based on the final replenishment amount, control the preset replenishment device to inject into the preset measuring container in advance.

10. A formaldehyde raw material automatic weighing system, characterized in that: include: An acquisition module is used to obtain environmental parameters, environmental historical data, required mass, required concentration and weighing height, container mass and container concentration; A memory for storing a program of a method for automatically weighing formaldehyde raw materials according to any one of claims 1 to 9; The processor can load and execute the program in the memory.

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