A method and device for preparing phosphate ester fire-resistant hydraulic oil

Abstract

The present invention belongs to the technical field of phosphate ester fire-resistant hydraulic oil, and relates to a method and device for preparing phosphate ester fire-resistant hydraulic oil. Phosphate ester fire-resistant hydraulic oil is divided into component A and thickener; the preparation method is: set the target value; calculate the initial configuration mass of the thickener and each of the remaining components based on the mass of a certain component in component A; collect spectral data and viscosity data to obtain average spectral data and average viscosity data; calculate the performance value based on the formula model and the average spectral data; calculate the performance error based on the performance value; judge whether the performance error meets the requirements; if so, adjust the performance of the finished oil until the performance of the finished oil meets the requirements; if not, judge whether the average viscosity data of the finished oil meets the requirements; if not, adjust the viscosity of the finished oil until the viscosity of the finished oil meets the requirements. The problem of being unable to quickly prepare phosphate ester fire-resistant hydraulic oil with oil performance indicators that meet user needs is solved.

Description

Technical Field

[0001] The invention belongs to the technical field of phosphate ester fire-resistant hydraulic oil, and in particular relates to a method and a device for preparing phosphate ester fire-resistant hydraulic oil. Background Art

[0002] Phosphate ester fire-resistant oil hydraulic oil is based on phosphate ester. By adding different dosages and types of additives, it can achieve a high ignition point and ensure the safety of the oil system under high temperature environment. Phosphate ester fire-resistant oil treatment has good flame retardancy, good lubricity and oxidation stability, low volatility and good additive sensitivity. The outstanding characteristics of phosphate ester fire-resistant oil are lower vapor pressure than petroleum-based liquid oil, no flammable and combustion-sustaining decomposition products, and no flame transmission along the oil flow. Even the gas composed of oil decomposition products will not cause the entire gas to burn after combustion.

[0003] The preparation and production of phosphate ester fire-resistant hydraulic oil is the process of mixing several components, mainly triaryl phosphate ester, rust inhibitor, antioxidant, antifoaming agent and thickener, and making the components evenly mixed under specific pressure and temperature conditions through specific blending equipment and appropriate processing methods, thereby producing phosphate ester fire-resistant hydraulic oil.

[0004] As modern industry develops faster and faster, the performance requirements for hydraulic oil are getting higher and higher. At present, according to the amount of hydraulic oil to be prepared and the formula of each additive, each component is calculated in advance, then mixed, the mixed liquid is measured, and the corresponding components are prepared according to the measurement results. In the actual industrial preparation process, due to factors such as the accuracy of instruments and equipment, the characteristics of additives (such as the high viscosity of thickeners, which are easy to stick to the side walls of containers), it is impossible to achieve the performance of oil products in one go. Repeated addition and preparation are required. In the repeated preparation process, sampling is usually used to monitor the oil products, which is inefficient. Therefore, it is very necessary to accurately control the performance indicators of the oil in the production process and adjust the addition amount of each component according to the performance deviation to achieve strict control of the quality of the finished oil.

[0005] In summary, the existing technology is still unable to quickly formulate phosphate ester fire-resistant hydraulic oil with oil performance indicators that meet user requirements. Summary of the invention

[0006] The purpose of the present invention is to provide a method and device for preparing phosphate ester fire-resistant hydraulic oil, which solves the problem in the prior art that phosphate ester fire-resistant hydraulic oil with oil performance indicators that meet user requirements cannot be quickly prepared.

[0007] The present invention is achieved through the following technical solutions:

[0008] The invention discloses a method for preparing a phosphate ester fire-resistant hydraulic oil. The phosphate ester fire-resistant hydraulic oil is divided into a component A and a component B, the component B is a tackifier, and the component A includes multiple components. The method comprises the following steps:

[0009] S1. Setting the viscosity target value and the viscosity target value error of the phosphate ester fire-resistant hydraulic oil;

[0010] Based on a certain component in component A, the target value of the oil quality index of each other component in the phosphate ester fire-resistant hydraulic oil and the target value error of the oil quality index of each other component are set;

[0011] S2. Based on the mass of a certain component in component A described in S1, the configuration mass of the tackifier and each of the remaining components is calculated according to the formulation model;

[0012] S3, collecting viscosity data of the finished oil prepared with the configured mass of each component and spectrum data of each remaining component, and calculating average viscosity data and average spectrum data of each remaining component;

[0013] S4, calculating the performance value of each remaining component in the finished oil based on the formula model and the average spectral data of each remaining component obtained in S3;

[0014] S5, calculating the performance error of each remaining component in the finished oil based on the formulation model, the target value of the oil quality index of each remaining component set in S1 and the performance value of each remaining component in the finished oil obtained in S4;

[0015] S6, judging whether the deviations of the performance error of each remaining component in the finished oil and the target value error of the oil quality index of each remaining component set in S1 are all within the preset performance deviation;

[0016] If the deviation of a certain component is not within the preset performance deviation, the performance of the finished oil is adjusted until the deviation of the performance error of each remaining component in the finished oil from the corresponding oil quality index target value is within the preset performance deviation;

[0017] If the deviation of each of the remaining components is within the performance preset deviation, S7 is started;

[0018] S7, judging whether the deviation between the average viscosity data obtained in S3 and the viscosity target value and the viscosity target value error set in S1 is within the preset viscosity deviation;

[0019] If the viscosity is within the preset deviation, the finished oil is prepared;

[0020] If it is not within the preset viscosity deviation, the finished oil viscosity is adjusted until the average viscosity data of the finished oil is within the preset viscosity deviation, the deviation between the viscosity target value and the viscosity target value error is within the preset viscosity deviation, and the finished oil preparation is completed.

[0021] Furthermore, in S3, the calculation expressions for the average spectral data and the average viscosity data are:

[0022] (1)

[0023] (2)

[0024] in, is the average spectral data of each of the remaining components; is the average viscosity data; t is the number of acquisitions; i=1, 2...t; is the spectral data of a certain component collected for the i-th time, is the viscosity data collected for the i-th time.

[0025] Furthermore, in S4, the calculation model for the performance value of each remaining component in the finished oil is:

[0026] W= * -1 *H -1 (3)

[0027] Where W represents the performance value of each of the remaining components in the finished oil; is the average spectral data of each of the remaining components; H represents the formula model; H -1 is the transposed matrix of H.

[0028] Furthermore, in S5, the calculation model for the performance error of each remaining component in the finished oil is:

[0029] δ1=Xd*Xd -1 *H -1 -W(4)

[0030] Among them, δ1 represents the performance error of each other component in the finished oil; Xd represents the target value of the oil quality index of each other component; Xd -1 represents the transposed matrix of Xd; W is the performance value of each other component in the finished oil; H is the formulation model; H -1 is the transposed matrix of H.

[0031] Further, in S6, the deviation between the performance error of each remaining component in the finished oil and the target value error of the oil quality index of each remaining component set in S1 is ;

[0032] in, is the target value error of oil quality index for each other component, is the performance error of each of the remaining components in the finished oil;

[0033] Within the performance preset deviation, specifically satisfying the following formula:

[0034] <Y1(5)

[0035] Where Y1 is the performance preset deviation.

[0036] Further, in S6, the performance adjustment of the finished oil is specifically performed as follows: first extracting the maximum characteristic of the performance error of the finished oil, then calculating the adjustment amount of the component corresponding to the maximum characteristic of the performance error, and then using an iterative control method to adjust the addition amount of each of the remaining components, until the deviation of the performance error of each of the remaining components in the finished oil from the corresponding oil quality index target value is all within the preset performance deviation.

[0037] Furthermore, the maximum characteristic of the performance error of the refined oil is extracted, and the calculation expression is:

[0038] (6)

[0039] δ1max=max (7)

[0040] in, is the performance error of the nth component in component A; is the performance error of the tackifier; δ1max is the maximum characteristic of the performance error;

[0041] The expression for the adjustment amount of the maximum characteristic of performance error is:

[0042] (8)

[0043] Where M0j is the initial configuration mass of the component with the largest deviation; Mj is the adjustment amount, The target value error of the oil quality index corresponding to the position of the component with the maximum deviation; =2,3...n or =z.

[0044] Furthermore, an iterative control method is used to adjust the addition amount of each remaining component until the deviation of the performance error of each remaining component in the finished oil from the corresponding oil quality index target value is within the preset performance deviation, specifically:

[0045] When the addition amount of a certain component is adjusted, a newly prepared finished oil is obtained, and S3-S5 are repeated to determine again whether the deviations of the performance errors of the remaining components in the finished oil and the oil quality index target value errors of the remaining components set in S1 are all within the preset performance deviations, until the deviations of the performance errors of the remaining components in the finished oil and the corresponding oil quality index target values ​​are all within the preset performance deviations, and the performance adjustment of the finished oil is completed.

[0046] Further, in S7, the deviation between the average viscosity data and the viscosity target value and the viscosity target value error set in S1 is ;

[0047] in, is the average viscosity data; is the viscosity target value; is the viscosity target value error;

[0048] If the viscosity is within the preset deviation, the following equation is satisfied:

[0049] <Y2 (9)

[0050] Among them, Y2 is the preset deviation of viscosity;

[0051] When the viscosity of the finished oil is adjusted, the expression for the adjustment amount of the viscosity enhancer is:

[0052] (10)

[0053] in, is the amount of thickener adjusted, is the initial configuration mass of the tackifier.

[0054] The present invention also discloses a phosphate ester fire-resistant hydraulic oil preparation device, wherein the phosphate ester fire-resistant hydraulic oil is divided into component A and component B, component B is a tackifier, and component A includes n components; including:

[0055] An input module for setting a viscosity target value and a viscosity target value error of the phosphate ester fire-resistant hydraulic oil;

[0056] Based on a certain component in component A, the target value of the oil quality index of each other component in the phosphate ester fire-resistant hydraulic oil and the target value error of the oil quality index of each other component are set;

[0057] A formula calculation module, used for calculating the configuration mass of the tackifier and each of the other components according to the formula model based on the mass of a certain component in the A component;

[0058] The data acquisition and calculation module is used to collect the viscosity data of the finished oil prepared with the configured mass of each component and the spectrum data of each other component, and calculate the average viscosity data and the average spectrum data of each other component;

[0059] A performance calculation module, used for calculating the performance value of each remaining component in the finished oil based on the formula model and the average spectral data of each remaining component;

[0060] A performance error calculation module, used for calculating the performance error of each remaining component in the finished oil based on the formula model, the oil quality index target value of each remaining component and the performance value of each remaining component in the finished oil;

[0061] The performance deviation judgment module is used to judge whether the deviation between the performance error of each other component in the finished oil and the target value error of the oil quality index of each other component is within the preset performance deviation;

[0062] If the deviation of a certain component is not within the preset performance deviation, the finished oil performance adjustment module is started; the finished oil performance adjustment module is used to adjust the finished oil performance until the deviation of the performance error of each remaining component in the finished oil and the corresponding oil quality index target value is within the preset performance deviation;

[0063] If the deviation of each of the remaining components is within the preset performance deviation, the viscosity deviation judgment module is activated;

[0064] The viscosity deviation judgment module is used to judge whether the deviation between the average viscosity data and the set viscosity target value and the viscosity target value error is within the preset viscosity deviation;

[0065] If the viscosity is within the preset deviation, the finished oil is prepared;

[0066] If it is not within the preset viscosity deviation, the finished oil viscosity adjustment module is started;

[0067] The finished oil viscosity adjustment module is used to adjust the viscosity of the finished oil until the deviation between the average viscosity data of the finished oil and the viscosity target value and the viscosity target value error is within the preset viscosity deviation, and the finished oil preparation is completed.

[0068] Compared with the prior art, the present invention has the following beneficial technical effects:

[0069] The present invention provides a method for preparing phosphate ester fire-resistant hydraulic oil. The method comprises the following steps: firstly setting a required target value, calculating the initial configuration mass of each component based on a formula model, and obtaining average spectral data and average viscosity data by combining spectral data and viscosity data; calculating a performance value based on the formula model and the average spectral data; and then calculating a performance error, and adjusting the performance by comparing the error with the target value of an oil quality index until the performance of the finished oil meets the requirements. The average viscosity data will be compared with the viscosity target value to determine the viscosity adjustment and calculate the adjustment amount of the thickener. When the viscosity of the finished oil meets the viscosity target value, the preparation and production of the phosphate ester fire-resistant hydraulic oil is completed.

[0070] The present invention can accurately control the various performance indicators of finished hydraulic oil by setting the target value and target value error of oil quality index to ensure that it meets the use requirements; based on the formula model, the initial configuration quality of each component is calculated, and combined with the calculation of spectral data and performance values, the performance of finished oil can be monitored and adjusted in real time to keep it within the preset range. This precise control can improve the controllability of the production process, reduce the scrap rate, and save production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 A flow chart of a method for preparing a phosphate ester fire-resistant hydraulic oil according to the present invention;

[0072] Figure 2 The present invention is a block diagram of the principle of a phosphate ester fire-resistant hydraulic oil preparation device. DETAILED DESCRIPTION

[0073] In order to make the purpose, technical solution and advantages of the present invention more clear, the following is further described in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention, that is, the embodiments described are only part of the embodiments of the present invention, not all embodiments.

[0074] The detailed description of the embodiments of the present invention provided in the following drawings is not intended to limit the scope of the invention claimed for protection, but merely represents a selected embodiment of the present invention. Based on the drawings and embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0075] The features and performances of the present invention are further described in detail below in conjunction with the embodiments.

[0076] Example 1

[0077] like Figure 1 As shown, the present invention discloses a method for preparing a phosphate ester fire-resistant hydraulic oil, comprising the following steps:

[0078] S1. Setting the viscosity target value and the viscosity target value error of the phosphate ester fire-resistant hydraulic oil;

[0079] The phosphate ester fire-resistant hydraulic oil is divided into component A and component B, component B is a tackifier, and component A includes n components;

[0080] Based on a certain component in component A, the target value of the oil quality index of each other component in the phosphate ester fire-resistant hydraulic oil and the target value error of the oil quality index of each other component are set;

[0081] S2. Based on the mass of a certain component in component A described in S1, the configuration mass of the tackifier and each of the remaining components is calculated according to the formulation model;

[0082] S3, collecting viscosity data of the finished oil prepared with the configured mass of each component and spectrum data of each remaining component, and calculating average viscosity data and average spectrum data of each remaining component;

[0083] S4, calculating the performance value of each remaining component in the finished oil based on the formula model and the average spectral data of each remaining component obtained in S3;

[0084] S5, calculating the performance error of each remaining component in the finished oil based on the formulation model, the target value of the oil quality index of each remaining component set in S1, and the performance value of each remaining component in the finished oil obtained in S4;

[0085] S6, judging whether the deviations of the performance error of each remaining component in the finished oil and the target value error of the oil quality index of each remaining component set in S1 are all within the preset performance deviation;

[0086] If the deviation of a certain component is not within the preset performance deviation, the performance of the finished oil is adjusted until the deviation of the performance error of each remaining component in the finished oil from the corresponding oil quality index target value is within the preset performance deviation;

[0087] If the deviation of each of the remaining components is within the performance preset deviation, S7 is started;

[0088] S7, judging whether the deviation between the average viscosity data obtained in S3 and the viscosity target value and the viscosity target value error set in S1 is within the preset viscosity deviation;

[0089] If the viscosity is within the preset deviation, the finished oil is prepared;

[0090] If it is not within the preset viscosity deviation, the finished oil viscosity is adjusted until the average viscosity data of the finished oil is within the preset viscosity deviation, the deviation between the viscosity target value and the viscosity target value error is within the preset viscosity deviation, and the finished oil preparation is completed.

[0091] The present invention can significantly improve the preparation accuracy of finished oil and ensure that the final product meets the predetermined performance requirements by setting clear oil quality target values, viscosity target values ​​and their corresponding error ranges and continuously adjusting the performance and viscosity of finished oil during the preparation process.

[0092] This method combines the collection and analysis of spectral data and viscosity data to more comprehensively evaluate the performance of finished oil. Based on this data, the performance error can be accurately calculated and targeted adjustments can be made accordingly to optimize the performance indicators of the finished oil.

[0093] Through strict performance error and viscosity error control, as well as multiple adjustments and verifications, it is possible to ensure that each batch of phosphate ester fire-resistant hydraulic oil is highly consistent in performance and quality, thereby improving the overall stability and reliability of the product. This method can accurately control the formulation process, reduce the scrap rate caused by improper formulation, and optimize the use of raw materials, thereby effectively reducing production costs.

[0094] Example 2

[0095] Based on Example 1, S2 is introduced in detail.

[0096] In S2, based on the mass of a certain component in the A component described in S1, the configuration mass of the tackifier and each of the remaining components is calculated according to the formulation model.

[0097] The formula model is a matrix of the initial proportions of the components. The formula model is a mathematical model or framework used to describe the product formula composition and their interrelationships.

[0098] In S1, it is assumed that a certain component in the A component is a triaryl phosphate, and the remaining components are a rust inhibitor, an antioxidant, an antifoaming agent and a tackifier;

[0099] The mass of triaryl phosphate is M01; according to the formula model H of the remaining components, the initial configuration masses of rust inhibitor, antioxidant, antifoaming agent and tackifier are calculated and recorded as M02, M03, M04 and M0z respectively;

[0100] H= ;

[0101] Among them, h2 is the configuration ratio of the rust inhibitor; h3 is the configuration ratio of the antioxidant; h4 is the configuration ratio of the antifoaming agent; hz is the configuration ratio of the viscosity enhancer.

[0102] .

[0103] Example 3

[0104] Based on Example 1, S3-S5 are introduced in detail.

[0105] In S3, the calculation expressions for average spectral data and average viscosity data are:

[0106] (1)

[0107] (2)

[0108] in, is the average spectral data of each of the remaining components; is the average viscosity data; t is the number of acquisitions; i=1, 2...t; is the spectral data of a certain component collected for the i-th time, is the viscosity data collected for the i-th time.

[0109] In S4, the calculation model for the performance value of each remaining component in the finished oil is:

[0110] W= * -1 *H -1 (3)

[0111] Where W represents the performance value of each of the remaining components in the finished oil; is the average spectral data of each of the remaining components; H represents the formula model; H -1 is the transposed matrix of H.

[0112] In S5, the calculation model for the performance error of each remaining component in the finished oil is:

[0113] δ1=Xd*Xd -1 *H -1 -W(4)

[0114] Among them, δ1 represents the performance error of each other component in the finished oil; Xd represents the target value of the oil quality index of each other component; Xd -1 represents the transposed matrix of Xd; W is the performance value of each other component in the finished oil; H is the formulation model; H -1 is the transposed matrix of H.

[0115] Example 4

[0116] Based on Example 3, S6 is introduced in detail.

[0117] The deviation between the performance error of each other component in the finished oil and the target value error of the oil quality index of each other component set by S1 is ;

[0118] in, is the target value error of oil quality index for each other component, is the performance error of each of the remaining components in the finished oil;

[0119] Within the performance preset deviation, specifically satisfying the following formula:

[0120] <Y1(5)

[0121] Where Y1 is the performance preset deviation.

[0122] The performance adjustment of the finished oil is specifically performed as follows: first extracting the maximum performance error feature of the finished oil, then calculating the adjustment amount of the component corresponding to the maximum performance error feature, and then using an iterative control method to adjust the addition amount of each of the remaining components until the deviation between the performance of the finished oil and the oil quality index target value set in S1 is within the preset performance deviation.

[0123] Extract the maximum characteristic of the performance error of the finished oil, and the calculation expression is:

[0124] (6)

[0125] δ1max=max (7)

[0126] in, is the performance error of the nth component in component A; is the performance error of the tackifier; δ1max is the maximum characteristic of the performance error;

[0127] The expression for the adjustment amount of the maximum characteristic of performance error is:

[0128] (8)

[0129] Where M0j is the initial configuration mass of the component with the largest deviation; Mj is the adjustment amount, The target value error of the oil quality index corresponding to the position of the component with the maximum deviation; =2,3...n or =z.

[0130] for example =2, the component with the largest deviation is the rust inhibitor, Represents the target value error of the oil quality index corresponding to the rust inhibitor.

[0131] The iterative control method is used to adjust the addition amount of each of the remaining components until the deviation between the performance of the finished oil and the target value of the oil quality index set by S1 is within the preset performance deviation, specifically:

[0132] When the addition amount of a certain component is adjusted, a newly formulated finished oil is obtained, and S3-S5 in Example 2 are repeated until the deviation between the performance error of the finished oil and the oil quality index target value set in S1 is within the preset performance deviation, and the performance adjustment of the finished oil is completed.

[0133] When adjusting the performance of finished oil, the present invention first extracts the maximum feature of the performance error of the finished oil, and can quickly and accurately determine the key factors affecting the performance of the finished oil, so that the adjustment can be effectively carried out, avoiding the waste of resources and time consumption caused by blind adjustment; adjusting the feature with the largest performance deviation can maximize the efficiency of the adjustment; calculating the adjustment amount of the component corresponding to the maximum performance error feature can achieve precise adjustment of the specific component, and this precise adjustment can ensure that the effect of the adjustment is obvious, avoiding the occurrence of over-adjustment or under-adjustment; using the iterative control method to adjust the addition amount of each of the remaining components, the performance of the finished oil can be gradually optimized, and through continuous iterative adjustment, the performance of the finished oil can be made closer to the target value, and the accuracy and stability of the adjustment can be improved; until the deviation between the performance of the finished oil and the set oil quality index target value is within the preset performance deviation, it is ensured that the quality of the finished oil meets the requirements, and this strict adjustment standard can ensure that the produced hydraulic oil has stable performance and meets the use requirements under various complex working conditions.

[0134] Example 5

[0135] Based on Example 2, S7 is described in detail.

[0136] The deviation between the average viscosity data and the viscosity target value and the viscosity target value error set by S1 is ;

[0137] in, is the average viscosity data; is the viscosity target value; is the viscosity target value error;

[0138] If the viscosity is within the preset deviation, the following equation is satisfied:

[0139] <Y2 (9)

[0140] Among them, Y2 is the preset deviation of viscosity;

[0141] If formula (9) is not satisfied, the viscosity of the finished oil is adjusted and the expression of the adjustment amount of the viscosity enhancer is:

[0142] (10)

[0143] is the initial configuration mass of the tackifier; is the adjustment amount of the thickener, specifically The increased quality on the basis of.

[0144] When adjusting the viscosity of the finished oil, the present invention first calculates the average value of the viscosity to avoid deviations caused by viscosity fluctuations, thereby improving the effectiveness of the viscosity adjustment; the deviation between the average viscosity and the viscosity target value is calculated, and the adjustment amount of the thickener is calculated according to the viscosity deviation, thereby achieving precise adjustment of the viscosity of the finished oil. This precise adjustment can ensure that the adjustment effect is obvious, and avoids over-adjustment or under-adjustment; until the deviation between the viscosity of the finished oil and the set viscosity target value is within the performance preset deviation, it is ensured that the viscosity of the finished oil meets the requirements, and this strict adjustment standard can ensure that the produced hydraulic oil has a stable viscosity.

[0145] Example 6

[0146] It is assumed that the phosphate ester fire-resistant hydraulic oil includes a component A and a component B, the component A includes a triaryl phosphate ester, a rust inhibitor, an antioxidant, and an antifoaming agent, and the component B is a viscosity enhancer.

[0147] The invention discloses a method for preparing a phosphate ester fire-resistant hydraulic oil, comprising the following steps:

[0148] S1. Set the viscosity target value Nd and viscosity target value error of phosphate ester fire-resistant hydraulic oil ; Nd = 32, .

[0149] Based on triaryl phosphate ester, the target value Xd and target value error of the oil quality index of the other four components in the phosphate ester fire-resistant hydraulic oil are set. ;

[0150] Specifically, the target oil quality index value of the rust inhibitor is 1.06, the target oil quality index value of the antioxidant is 0.612, the target oil quality index value of the antifoaming agent is 0.52, and the target oil quality index value of the viscosity enhancer is 0.32;

[0151] Then Xd= ;

[0152] Specifically, the target value error of the oil quality index of the rust inhibitor is 0.065 The target value error of the antioxidant oil quality index is 0.12 The target value error of the oil quality index of the anti-foaming agent is 4 The target value error of the oil quality index of the viscosity enhancer is 0.75 ;

[0153] but .

[0154] S2. Based on the mass M01 of the triaryl phosphate ester = 1000 kg, according to the formula model H of the remaining four components, calculate the initial configuration masses of the rust inhibitor, antioxidant, antifoaming agent and tackifier, which are recorded as M02, M03, M04 and M0z respectively;

[0155]

[0156] H= ;

[0157] h2 is the configuration ratio of the rust inhibitor, and its addition amount is 10ppm;

[0158] h3 is the configuration ratio of antioxidant, and its addition amount is 50ppm;

[0159] h4 is the configuration ratio of the antifoaming agent, and its addition amount is 100ppm;

[0160] hz is the configuration ratio of the tackifier, and its addition amount is 100ppm;

[0161] Then H= .

[0162] Then the initial configuration mass of each component is:

[0163]

[0164] S3. Collect the spectral data and viscosity data of the finished oil during the preparation process, and calculate the average spectral data according to formula (1) and formula (2): and average viscosity data , eliminate the data collection target value;

[0165] (1)

[0166] (2)

[0167] Where, t is the number of acquisitions, t=5; i=1, 2...5; is the spectral data collected for the i-th time, is the viscosity data collected for the i-th time.

[0168]

[0169]

[0170]

[0171]

[0172]

[0173] , , , ,

[0174] After calculation, we get:

[0175]

[0176] S4. Calculate the performance values ​​W of the remaining four components in the finished oil:

[0177] W= * -1 *H -1 (3)

[0178] After substituting,

[0179] S5, then the performance error δ1 of the other four components in the finished oil is:

[0180] δ1= Xd*Xd -1 *H -1 -W(4)

[0181] After substituting,

[0182] S6. Determine the performance error δ1 of each other component in the finished oil and the target value error of the oil quality index of the other four components in the phosphate ester fire-resistant hydraulic oil Whether the deviation is within the preset performance deviation, if not, start S7 to adjust the performance of the finished oil;

[0183] If it is within the preset deviation, S8 is started to determine the viscosity of the finished oil;

[0184] The performance error δ1 of the finished oil is the target value error of the oil quality index of the phosphate ester fire-resistant hydraulic oil. The deviation is ;

[0185]

[0186] The performance preset deviation Y1 = 0.05, specifically to meet the following formula:

[0187] <0.05(5)

[0188] After calculation, = , where 0.080>0.05, indicating that the preset deviation range is not met and the performance of the refined oil needs to be adjusted.

[0189] S7. When adjusting the performance of refined oil, first extract the maximum feature of the performance error of refined oil, and then calculate the adjustment amount corresponding to the maximum feature of the performance error:

[0190] (6)

[0191] δ1max=max (7)

[0192] δ1max=max =

[0193] The antifoaming agent corresponding to M04 is the characteristic component with the largest performance error.

[0194] is the performance error of the rust inhibitor, is the performance error of the antioxidant, is the performance error of the antifoaming agent, is the performance error of the tackifier; δ1max is the maximum characteristic of the performance error, , , The maximum value among these four values, i.e., the antifoaming agent has the largest performance deviation; M04 is the initial configuration mass of the component with the largest deviation, 0.1;

[0195] Adjust the quality of the antifoaming agent by the amount of , the calculation formula is:

[0196] =0.008kg

[0197] M4 is the adjustment amount, specifically the mass added on the basis of M04.

[0198] S8, the amount of antifoaming agent M04 added is adjusted and updated to , obtain a new formula finished oil, repeat S3-S7, as follows:

[0199] Collect the spectral data and viscosity data of the adjusted refined oil, and calculate the average spectral data according to formula (1) and formula (2): and average viscosity data ;

[0200] Where, t is the number of acquisitions, t=5; i=1, 2...5; is the spectral data collected for the i-th time, is the viscosity data collected for the ith time.

[0201]

[0202]

[0203]

[0204]

[0205]

[0206] , , , ,

[0207] After calculation, we get:

[0208]

[0209] Calculate the performance value W of the adjusted finished oil:

[0210] W= * -1 *H -1 (3)

[0211] After substituting the data,

[0212] =

[0213] The performance error δ1 of the adjusted finished oil is:

[0214] δ1= Xd*Xd -1 *H -1 -W(4).

[0215]

[0216] Recalculate the performance error δ1 of the finished oil and the target value error of the oil quality index of the phosphate ester fire-resistant hydraulic oil The deviation is ;

[0217]

[0218] After calculation, = <0.05

[0219] After adjustment =0.025, which satisfies the performance formula (5) of the finished oil, and the performance adjustment is completed.

[0220] When judging the viscosity of the finished oil after adjustment, when the deviation between the average viscosity data of the finished oil and the viscosity target value set by S1 and the viscosity target value error satisfies the following formula, the preparation and production of the finished oil is completed, otherwise the viscosity of the finished oil is adjusted;

[0221] <0.1 (9)

[0222] =0.29>0.1

[0223] Determine whether the finished oil viscosity needs to be adjusted and the amount of viscosity enhancer to be adjusted:

[0224] (10)

[0225] Mz is the adjustment amount of the thickener, is the initial configuration mass of the tackifier.

[0226] Preferably, in order to verify the accuracy of the adjustment plan, viscosity verification is required. After adjusting the mass of the thickener, the viscosity data is collected again, and the formulas (2) and (9) are calculated to obtain the following results:

[0227] , , , ,

[0228]

[0229]

[0230] If formula (9) is satisfied, the adjustment is successful.

[0231] Example 7

[0232] The phosphate ester fire-resistant hydraulic oil is divided into component A and component B, component B is a tackifier, and component A includes n components.

[0233] like Figure 2 As shown, the present invention also discloses a phosphate ester fire-resistant hydraulic oil preparation device, comprising:

[0234] An input module for setting a viscosity target value and a viscosity target value error of the phosphate ester fire-resistant hydraulic oil;

[0235] Based on a certain component in component A, the target value of the oil quality index of each other component in the phosphate ester fire-resistant hydraulic oil and the target value error of the oil quality index of each other component are set;

[0236] A formula calculation module, used for calculating the configuration mass of the tackifier and each of the other components according to the formula model based on the mass of a certain component in the A component;

[0237] The data acquisition and calculation module is used to collect the viscosity data of the finished oil prepared with the configured mass of each component and the spectrum data of each other component, and calculate the average viscosity data and the average spectrum data of each other component;

[0238] A performance calculation module, used for calculating the performance value of each remaining component in the finished oil based on the formula model and the average spectral data of each remaining component;

[0239] A performance error calculation module, used for calculating the performance error of each remaining component in the finished oil based on the formula model, the oil quality index target value of each remaining component and the performance value of each remaining component in the finished oil;

[0240] The performance deviation judgment module is used to judge whether the deviation between the performance error of each other component in the finished oil and the target value error of the oil quality index of each other component is within the preset performance deviation;

[0241] If the deviation of a certain component is not within the preset performance deviation, the finished oil performance adjustment module is started; the finished oil performance adjustment module is used to adjust the finished oil performance until the deviation of the performance error of each remaining component in the finished oil and the corresponding oil quality index target value is within the preset performance deviation;

[0242] If the deviation of each of the remaining components is within the preset performance deviation, the viscosity deviation judgment module is activated;

[0243] The viscosity deviation judgment module is used to judge whether the deviation between the average viscosity data and the set viscosity target value and the viscosity target value error is within the preset viscosity deviation;

[0244] If the viscosity is within the preset deviation, the finished oil is prepared;

[0245] If it is not within the preset viscosity deviation, the finished oil viscosity adjustment module is started;

[0246] The finished oil viscosity adjustment module is used to adjust the viscosity of the finished oil until the deviation between the average viscosity data of the finished oil and the viscosity target value and the viscosity target value error is within the preset viscosity deviation, and the finished oil preparation is completed.

[0247] The phosphate ester fire-resistant hydraulic oil preparation device of the present invention is actually a computer system based on a specific calculation model.

[0248] The present invention can prepare and produce phosphate ester fire-resistant hydraulic oil according to the performance of the current batch of each component, avoids the influence of the performance difference of each component in different batches on the performance of the phosphate ester fire-resistant oil, and realizes the preparation and production of high-performance phosphate ester fire-resistant hydraulic oil.

[0249] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for preparing a phosphate ester fire-resistant hydraulic oil, wherein the phosphate ester fire-resistant hydraulic oil is divided into a component A and a component B, the component B is a tackifier, and the component A includes multiple components; characterized in that: The following steps are involved: S1. Setting the viscosity target value and the viscosity target value error of the phosphate ester fire-resistant hydraulic oil; Based on a certain component in component A, the target value of the oil quality index of each other component in the phosphate ester fire-resistant hydraulic oil and the target value error of the oil quality index of each other component are set; S2. Based on the mass of a certain component in the A component described in S1, the configuration mass of each of the remaining components is calculated according to the formula model; the formula model is a matrix composed of the initial proportions of each of the remaining components; S3, collecting viscosity data of the finished oil prepared with the configured mass of each component and spectrum data of each remaining component, and calculating average viscosity data and average spectrum data of each remaining component; S4, calculating the performance value of each remaining component in the finished oil based on the formula model and the average spectral data of each remaining component obtained in S3; S5, calculating the performance error of each remaining component in the finished oil based on the formulation model, the target value of the oil quality index of each remaining component set in S1 and the performance value of each remaining component in the finished oil obtained in S4; S6, judging whether the deviations of the performance error of each remaining component in the finished oil and the target value error of the oil quality index of each remaining component set in S1 are all within the preset performance deviation; If the deviation of a certain component is not within the preset performance deviation, the performance of the finished oil is adjusted until the deviation of the performance error of each remaining component in the finished oil and the corresponding oil quality index target value error are all within the preset performance deviation; If the deviation between the performance error of each remaining component in the finished oil and the target value error of the oil quality index of each remaining component set in S1 is within the preset performance deviation, S7 is started; S7, judging whether the deviation between the average viscosity data obtained in S3 and the viscosity target value and the viscosity target value error set in S1 is within the preset viscosity deviation; If the viscosity is within the preset deviation, the finished oil is prepared; If it is not within the preset viscosity deviation, the finished oil viscosity is adjusted until the average viscosity data of the finished oil and the deviation between the viscosity target value and the viscosity target value error are within the preset viscosity deviation, and the finished oil preparation is completed; In S4, the calculation model for the performance value of each remaining component in the finished oil is: W= * -1 *H -1 (3) Where W represents the performance value of each of the remaining components in the finished oil; is the average spectral data of each of the remaining components; H represents the formula model; H -1 is the transposed matrix of H; In S5, the calculation model for the performance error of each remaining component in the finished oil is: δ1=Xd*Xd -1 *H -1 -W(4) Among them, δ1 represents the performance error of each other component in the finished oil; Xd represents the target value of the oil quality index of each other component; Xd -1 represents the transposed matrix of Xd; W is the performance value of each other component in the finished oil; H is the formulation model; H -1 is the transposed matrix of H.

2. The method for preparing a phosphate ester fire-resistant hydraulic oil according to claim 1, characterized in that: In S3, the calculation expressions for average spectral data and average viscosity data are: (1) (2) in, is the average spectral data of each of the remaining components; is the average viscosity data; t is the number of acquisitions; i=1, 2...t; is the spectral data of a certain component collected for the i-th time, is the viscosity data collected for the i-th time.

3. The method for preparing a phosphate ester fire-resistant hydraulic oil according to claim 1, characterized in that: In S6, the deviation between the performance error of each remaining component in the finished oil and the target value error of the oil quality index of each remaining component set in S1 is ; in, is the target value error of oil quality index for each other component, is the performance error of each of the remaining components in the finished oil; Within the performance preset deviation, specifically satisfying the following formula: <Y1(5) Where Y1 is the performance preset deviation.

4. The method for preparing a phosphate ester fire-resistant hydraulic oil according to claim 1, characterized in that: In S6, the performance adjustment of the finished oil is specifically performed as follows: first extracting the maximum characteristic of the performance error of the finished oil, then calculating the adjustment amount of the component corresponding to the maximum characteristic of the performance error, and then using an iterative control method to adjust the addition amount of each of the remaining components until the deviations of the performance error of each of the remaining components in the finished oil and the corresponding oil quality index target value error are all within the preset performance deviation.

5. The method for preparing a phosphate ester fire-resistant hydraulic oil according to claim 4, characterized in that: Extract the maximum characteristic of the performance error of the finished oil, and the calculation expression is: (6) δ1max=max (7) in, is the performance error of the nth component in component A; is the performance error of the tackifier; δ1max is the maximum characteristic of the performance error; The expression for the adjustment amount of the maximum characteristic of performance error is: (8) Where M0j is the initial configuration mass of the component with the largest deviation; Mj is the adjustment amount, The target value error of the oil quality index corresponding to the position of the component with the maximum deviation; =2,3...n or =z.

6. The method for preparing a phosphate ester fire-resistant hydraulic oil according to claim 4, characterized in that: The iterative control method is used to adjust the addition amount of each remaining component until the deviation of the performance error of each remaining component in the finished oil and the corresponding oil quality index target value error is within the preset performance deviation, specifically: When the addition amount of the component corresponding to the maximum characteristic of the performance error is adjusted, a newly prepared finished oil is obtained, and S3-S5 are repeated to determine again whether the deviations of the performance error of each remaining component in the finished oil and the oil quality index target value error of each remaining component set in S1 are all within the preset performance deviation, until the deviations of the performance error of each remaining component in the finished oil and the corresponding oil quality index target value error are all within the preset performance deviation, and the performance adjustment of the finished oil is completed.

7. The method for preparing a phosphate ester fire-resistant hydraulic oil according to claim 1, characterized in that: In S7, the deviation between the average viscosity data and the viscosity target value and the viscosity target value error set in S1 is ; in, is the average viscosity data; is the viscosity target value; is the viscosity target value error; If the viscosity is within the preset deviation, the following equation is satisfied: <Y2 (9) Among them, Y2 is the preset deviation of viscosity; When the viscosity of the finished oil is adjusted, the expression for the adjustment amount of the viscosity enhancer is: (10) in, is the amount of thickener adjusted, is the initial configuration mass of the tackifier.

8. A device for preparing phosphate ester fire-resistant hydraulic oil, wherein the phosphate ester fire-resistant hydraulic oil is divided into component A and component B, component B is a tackifier, and component A includes n components; characterized in that: include: An input module for setting a viscosity target value and a viscosity target value error of the phosphate ester fire-resistant hydraulic oil; Based on a certain component in component A, the target value of the oil quality index of each other component in the phosphate ester fire-resistant hydraulic oil and the target value error of the oil quality index of each other component are set; A formula calculation module is used to calculate the configuration mass of the tackifier and each of the other components based on the mass of a certain component in the A component according to the formula model; the formula model is a matrix composed of the initial proportions of each of the other components; The data acquisition and calculation module is used to collect the viscosity data of the finished oil prepared with the configured mass of each component and the spectrum data of each other component, and calculate the average viscosity data and the average spectrum data of each other component; A performance calculation module, used for calculating the performance value of each remaining component in the finished oil based on the formula model and the average spectral data of each remaining component; A performance error calculation module, used for calculating the performance error of each remaining component in the finished oil based on the formula model, the oil quality index target value of each remaining component and the performance value of each remaining component in the finished oil; The performance deviation judgment module is used to judge whether the deviation between the performance error of each other component in the finished oil and the target value error of the oil quality index of each other component is within the preset performance deviation; If the deviation of a certain component is not within the preset performance deviation, the finished oil performance adjustment module is started; the finished oil performance adjustment module is used to adjust the finished oil performance until the deviation of the performance error of each remaining component in the finished oil and the corresponding oil quality index target value error is all within the preset performance deviation; If the deviation between the performance error of each other component in the finished oil and the set oil quality index target value error of each other component is within the preset performance deviation, the viscosity deviation judgment module is started; The viscosity deviation judgment module is used to judge whether the deviation between the average viscosity data and the set viscosity target value and the viscosity target value error is within the preset viscosity deviation; If the viscosity is within the preset deviation, the finished oil is prepared; If it is not within the preset viscosity deviation, the finished oil viscosity adjustment module is started; The finished oil viscosity adjustment module is used to adjust the finished oil viscosity until the deviation between the average viscosity data of the finished oil and the viscosity target value and the viscosity target value error is within the preset viscosity deviation, and the finished oil preparation is completed; The calculation model for the performance value of each other component in the finished oil is: W= * -1 *H -1 (3) Where W represents the performance value of each of the remaining components in the finished oil; is the average spectral data of each of the remaining components; H represents the formula model; H -1 is the transposed matrix of H; The calculation model for the performance error of each of the remaining components in the finished oil is: δ1=Xd*Xd -1 *H -1 -W(4) Among them, δ1 represents the performance error of each other component in the finished oil; Xd represents the target value of the oil quality index of each other component; Xd -1 represents the transposed matrix of Xd; W is the performance value of each other component in the finished oil; H is the formulation model; H -1 is the transposed matrix of H.

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