A solution storage and delivery system for lithium carbonate production line

Abstract

The invention discloses a solution storage and transportation system for a lithium carbonate production line, comprising processing solution conductivity and solution flow rate to obtain the ion adsorption amount of the lithium carbonate production solution at each time point in a detection period in an ion exchange unit; comparing the ion adsorption amount of the lithium carbonate production solution at each time point in the detection period in the ion exchange unit with a constructed ion adsorption amount range interval, and if the abnormal ion adsorption amounts corresponding to each time point in the detection period are all within the adsorption amount analysis interval, an analysis signal is generated, and based on the analysis signal, according to the abnormal ion adsorption data, a sharp characterization value is obtained by processing; the invention determines whether the solution temperature is the cause of the impurity ion adsorption, analyzes and obtains the temperature control value, and controls the temperature, which is beneficial to ensuring the removal efficiency of the impurity ions, thereby reducing the corrosion of the impurity ions to the equipment in the subsequent solution storage and transportation process, and improving the purity of the lithium carbonate.

Description

Technical Field

[0001] The invention relates to the technical field of solution storage and transportation, and in particular to a solution storage and transportation system for a lithium carbonate production line. Background Art

[0002] As an important basic lithium salt, lithium carbonate has extensive and critical applications in many fields. Especially in the lithium-ion battery industry, it is the core raw material for manufacturing positive electrode materials. With the vigorous development of new energy vehicles, electronic products and other industries in recent years, the demand for lithium carbonate has shown a trend of sustained rapid growth. In terms of production, the preparation of lithium carbonate usually involves extracting lithium from raw materials such as lithium ore (such as spodumene) or salt lake brine, and then undergoing a series of complex chemical transformations, separation and purification processes to finally obtain lithium carbonate products that meet quality requirements.

[0003] In the entire production chain of lithium carbonate, a variety of solutions containing lithium and other impurity ions are produced and used. The solutions often contain impurity ions such as calcium, magnesium, iron, and aluminum. The impurity ions are highly corrosive and will corrode metal equipment. Therefore, it is very important to adsorb the impurity ions before purifying lithium carbonate. When strong acid cation exchange resins and strong basic anion exchange resins are used to adsorb impurity ions in the solution used in lithium carbonate production, ion adsorption errors may occur. This phenomenon may be caused by abnormal temperature. If the temperature abnormality affects the adsorption of impurity ions, the purity of lithium carbonate purification will not meet the requirements.

[0004] To this end, we propose a solution storage and transportation system for a lithium carbonate production line. Summary of the invention

[0005] The object of the present invention is to provide a solution storage and transportation system for a lithium carbonate production line to solve at least one of the above-mentioned prior art problems.

[0006] The present invention provides a solution storage and transportation system for a lithium carbonate production line, comprising:

[0007] Data acquisition module: Processing the solution conductivity and solution flow rate to obtain the ion adsorption amount of the lithium carbonate production solution at each time point in the detection period T in the ion exchange unit;

[0008] Adsorption analysis module: compare the ion adsorption amount of the lithium carbonate production solution at each time point in the detection period T in the ion exchange unit with the constructed ion adsorption amount range interval, and generate an analysis signal if the abnormal ion adsorption amount corresponding to each time point in the detection period T is within the adsorption amount analysis interval;

[0009] Control signal generation module: Based on the analysis signal, according to the ion abnormal adsorption data, the sharp characterization value JB is processed to determine the change of the ion abnormal adsorption within the detection period T according to the sharp characterization value JB. If the sharp characterization value JB is greater than or equal to the sharp characterization threshold, a control signal is generated;

[0010] Impact analysis module: Based on the control signal, the solution temperature value of the lithium carbonate production solution during the impurity ion exchange is analyzed to obtain the temperature impact value. Based on the temperature impact value, it is determined whether the temperature is the cause of the impurity ion adsorption. If so, an impact signal is generated;

[0011] Impact control module: Based on the impact signal, the temperature control value is obtained, and based on the temperature control value, the temperature of the solution used in the lithium carbonate production line for removing abnormal ions is controlled.

[0012] Beneficial effects of the present invention:

[0013] 1. The present invention is based on analyzing the solution conductivity and solution flow rate to obtain the ion adsorption amount of the solution for lithium carbonate production at each time point within the detection period T in the ion exchange unit; the ion adsorption amount of the solution for lithium carbonate production at each time point within the detection period T in the ion exchange unit is compared with the constructed ion adsorption amount range interval to obtain an operation signal, wherein the operation signal includes an analysis signal; the present invention determines the ion adsorption amount within the detection period through the solution conductivity and the solution flow rate, can comprehensively utilize multiple key parameters to achieve accurate quantitative monitoring of the ion exchange process, can more accurately understand the working status of the ion exchange unit, and provide reliable data support for timely adjustment of the production process.

[0014] 2. The present invention is based on the analysis signal and the abnormal ion adsorption data to obtain a sharp characterization value JB, and the change of the abnormal ion adsorption within the detection period T is judged according to the sharp characterization value JB. If the sharp characterization value JB is greater than or equal to the sharp characterization threshold, it means that the abnormal ion adsorption state within the detection period T changes sharply, and a control signal is generated; based on the control signal, the temperature value of the solution used in the production of lithium carbonate is analyzed when the impurity ions are exchanged to obtain a temperature influence value, and based on the temperature influence value, it is judged whether the solution temperature is the cause of the impurity ion adsorption, and if so, an influence signal is generated; based on the influence signal, a temperature control value is obtained, and based on the temperature control value, the temperature of the lithium carbonate production line solution when the abnormal ions are removed is controlled; the present invention determines whether the temperature is the cause of the impurity ion adsorption, analyzes to obtain the temperature control value, and based on the temperature control value, when the lithium carbonate production line solution is used for impurity ion adsorption operation, the temperature is controlled, which is beneficial to ensure the removal efficiency of the impurity ions, thereby reducing the corrosion of the impurity ions to the equipment during the subsequent solution storage and transportation process, and improving the purity of the lithium carbonate. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 This is a schematic structural diagram of a solution storage and delivery system for a lithium carbonate production line according to an embodiment of the present invention;

[0017] Figure 2 This is a flow chart of a solution storage and transportation method for a lithium carbonate production line according to an embodiment of the present invention;

[0018] Figure 3 It is a structural schematic diagram of a solution storage and conveying equipment for a lithium carbonate production line according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0020] Embodiment 1

[0021] Figure 1 A flow chart of a solution storage and delivery system for a lithium carbonate production line provided in the first embodiment of the present invention, the embodiment of the present invention is applicable to the situation of abnormal ion adsorption when the lithium carbonate production line solution is subjected to ion adsorption, the solution storage and delivery system for a lithium carbonate production line can be executed by a solution storage and delivery method for a lithium carbonate production line, the solution storage and delivery method for a lithium carbonate production line can be implemented by software and / or hardware, and the solution storage and delivery method for a lithium carbonate production line can be configured in a solution storage and delivery device for a lithium carbonate production line. Optionally, a solution storage and delivery device for a lithium carbonate production line can be an electronic device, which can be a notebook, a desktop computer, a smart tablet, etc., and the embodiment of the present invention does not limit this.

[0022] like Figure 1 As shown, a solution storage and delivery system for a lithium carbonate production line provided by an embodiment of the present invention specifically comprises the following steps:

[0023] Data acquisition module: The lithium carbonate production solution is first pretreated, filtered and precipitated to remove large particle impurities and some impurity ions. The pretreated solution enters the ion exchange unit, and the solution conductivity and solution flow rate are processed to obtain the ion adsorption amount of the lithium carbonate production solution at each time point in the detection period T in the ion exchange unit;

[0024] In some embodiments, when the solution for lithium carbonate production is used for impurity ion adsorption, a conductivity meter is installed at the inlet and outlet of the ion exchange resin, and a sensor is used to monitor the conductivity of the solution in real time. If the conductivity changes abnormally after passing through a strongly acidic cation exchange resin, there is an anion adsorption error. If the conductivity changes abnormally after passing through a strongly basic anion exchange resin, there is a cation adsorption error.

[0025] The conductivity of solutions containing target anions of different concentrations was measured respectively, and a standard curve of anion concentration-conductivity was drawn;

[0026] According to the conductivity of the solution outlet, the corresponding ion concentration is found in the anion concentration-conductivity standard curve, and it is marked as the outlet anion concentration; according to the conductivity of the solution inlet, the corresponding anion concentration is found in the anion concentration-conductivity standard curve, and it is marked as the inlet anion concentration; the outlet anion concentration is subtracted from the inlet anion concentration, and the absolute value of the difference is taken to obtain the actual anion concentration deviation value;

[0027] The detection period T is divided into several time nodes, and the actual anion concentration deviation value and solution flow rate corresponding to the time node are obtained. The actual anion concentration deviation value corresponding to the time node is multiplied by the solution flow rate to obtain the anion adsorption amount at the current time point, and the anion adsorption amount at the current time node is subtracted from the anion adsorption amount standard value, and the absolute value of the difference is taken to obtain the actual anion abnormal adsorption amount AY at the current time node;

[0028] It should be noted that the standard value of ion adsorption is set by those skilled in the art according to actual needs;

[0029] Similarly, the actual abnormal cation adsorption amount BY corresponding to each time point in the detection period T is obtained;

[0030] The actual abnormal anion adsorption amount AY after passing through the strong acid cation exchange resin and the actual abnormal cation adsorption amount BY after passing through the strong base anion exchange resin are summed to obtain the abnormal ion adsorption amount;

[0031] It should be noted that in the process of adsorbing impurity ions in the solution for lithium carbonate production, it is usually necessary to remove cationic impurities and anionic impurities at the same time to reduce the corrosiveness of the solution. Under normal circumstances, through the strong acid cation exchange resin and the strong base anion exchange resin, the strong acid cation exchange resin mainly adsorbs impurity cations, and the strong base anion exchange resin mainly adsorbs impurity anions. The strong acid cation exchange resin and the strong base anion exchange resin work in synergy. When one of the resins has an adsorption error, not only will its own removal efficiency of the target ions be reduced, but it will also affect the working effect of the other resin, thereby affecting the deep removal effect of impurities in the solution for lithium carbonate production.

[0032] For example, if the strongly acidic cation exchange resin adsorbs anions, resulting in incomplete cation removal, the residual cations may recombine with the anions in the subsequent strongly basic anion exchange resin, increasing the burden on the strongly basic anion exchange resin and ultimately reducing the overall impurity ion removal efficiency. 2- ) is mistakenly adsorbed on the strong acid cation exchange resin, which will reduce the adsorption of iron ions (Fe 3+ ), aluminum ions (Al 3+ ) and other impurity cation sites, resulting in reduced impurity cation removal efficiency; calcium ions (Ca 2+ ) is adsorbed on the strong alkaline anion exchange resin, which will cause the originally adsorbed chloride ions (Cl - ), sulfate ion (SO4 2- ) and other impurity anion sites are reduced, thereby reducing the removal efficiency of impurity anions;

[0033] Adsorption analysis module: compare the ion adsorption amount corresponding to each time point in the detection period T of the lithium carbonate production solution in the ion exchange unit with the constructed ion adsorption amount range interval to obtain an operation signal, wherein the operation signal includes a stop signal, an analysis signal and an operation signal;

[0034] The construction method of the range of abnormal ion adsorption is as follows:

[0035] Obtain the standard value YB of abnormal ion adsorption when the lithium carbonate production solution is subjected to impurity ion adsorption, obtain the abnormal ion adsorption data of multiple lithium carbonate production solution impurity ion treatment processes in history, wherein the ion adsorption data includes the abnormal ion adsorption amount, and screen out the maximum abnormal ion adsorption amount from the abnormal ion adsorption data of each lithium carbonate production solution impurity ion treatment process, sum and average all the screened maximum abnormal ion adsorption amounts, and obtain the maximum normal abnormal ion adsorption amount YZ;

[0036] It should be noted that the standard value YB of abnormal ion adsorption is set by those skilled in the art based on historical experience;

[0037] The abnormal ion adsorption amount range interval is constructed with the standard value YB of the abnormal ion adsorption amount and the maximum normal abnormal ion adsorption amount YZ, wherein the abnormal ion adsorption amount range interval includes the normal adsorption amount range and the adsorption amount analysis range, wherein the normal adsorption amount range is: [0-YZ], and the adsorption amount analysis range is: (YZ-YB], note that ( means not included, [] means included, YZ<YB;

[0038] It should be noted that when the abnormal ion adsorption data of multiple historical lithium carbonate production solutions during the treatment of impurity ions are obtained, the abnormal ion adsorption amount during the treatment of impurity ions does not exceed the standard value of abnormal ion adsorption amount, which means that the quality of the lithium carbonate production solution after ion adsorption is qualified and can be further operated;

[0039] In some embodiments, the abnormal ion adsorption amount corresponding to each time point in the detection period T is obtained; and the abnormal ion adsorption amount range interval is compared with the constructed abnormal ion adsorption amount range interval;

[0040] If the abnormal adsorption amount of ions corresponding to each time point in the detection period T is within the normal adsorption amount range, an operation signal is generated;

[0041] If the abnormal adsorption amounts of ions corresponding to each time point within the detection period T are all within the adsorption amount analysis interval, an analysis signal is generated;

[0042] If the abnormal ion adsorption amount corresponding to each time point in the detection period T is neither within the normal adsorption amount interval nor within the adsorption amount analysis interval, a stop signal is generated;

[0043] It should be noted that the operation signal indicates that the abnormal ion adsorption amount at each time point in the detection period T is within the normal range of the adsorption amount. The abnormal ion adsorption amount at each time point in the detection period T is normal, which can reduce the corrosiveness of the solution and reduce the corrosion of the equipment by sulfate formed by the combination of calcium and magnesium ions and sulfate ions in the solution. The analysis signal indicates that the abnormal ion adsorption amount at each time point in the detection period T exceeds the maximum normal abnormal ion adsorption amount under normal circumstances but is lower than the standard value of the abnormal ion adsorption amount. In this case, analysis and regulation are required to prevent the abnormal ion adsorption amount in the detection period T from exceeding the standard value of the abnormal ion adsorption amount. The stop signal indicates that the abnormal ion adsorption amount at each time point in the detection period T has exceeded the standard value of the abnormal ion adsorption amount, and the impurity ion treatment of the solution for lithium carbonate production has been abnormal. To prevent the impurity ion treatment from further deteriorating, the impurity ion treatment needs to be stopped.

[0044] The technical solution of the embodiment of the present invention is mainly as follows: processing the solution conductivity and solution flow rate to obtain the ion adsorption amount of the solution for lithium carbonate production at each time point within the detection period T in the ion exchange unit; comparing the ion adsorption amount of the solution for lithium carbonate production at each time point within the detection period T in the ion exchange unit with the constructed ion adsorption amount range interval to obtain an operation signal, wherein the operation signal includes an analysis signal; the present invention determines the ion adsorption amount within the detection period through the solution conductivity and solution flow rate, can comprehensively utilize multiple key parameters to achieve accurate quantitative monitoring of the ion exchange process, can more accurately understand the working status of the ion exchange unit, and provide reliable data support for timely adjustment of the production process.

[0045] Embodiment 2

[0046] Based on Example 1, please refer to Figure 1 As shown, a solution storage and transportation system for a lithium carbonate production line according to an embodiment of the present invention further includes the following steps:

[0047] Control signal generation module: Based on the analysis signal and the abnormal ion adsorption data, a sharp characterization value JB is obtained, and the change of abnormal ion adsorption within the detection period T is judged according to the sharp characterization value JB. If the sharp characterization value JB is greater than or equal to the sharp characterization threshold, it means that the abnormal ion adsorption state within the detection period T changes sharply, and a control signal is generated;

[0048] Specifically, the abnormal ion adsorption amount at each time point within the detection period T is marked and connected in a two-dimensional coordinate system to obtain an abnormal ion adsorption change curve, wherein time is the x-axis and the abnormal ion adsorption amount is the y-axis;

[0049] On the y-axis of the coordinate system, a straight line parallel to the x-axis is drawn with the maximum abnormal adsorption of normal ions as the reference value, and it is marked as the maximum adsorption line;

[0050] The intersection of the maximum adsorption line and the abnormal ion adsorption change curve is marked as an over-limit point, and the over-limit point is connected with the maximum ion abnormal adsorption mark point to obtain an adsorption reference line;

[0051] The time point corresponding to the over-limit point is subtracted from the time point corresponding to the maximum ion abnormal adsorption mark point to obtain the time difference SC;

[0052] The abnormal adsorption variation curve of ions beyond the maximum adsorption line is marked as the over-limit curve;

[0053] Divide the super-boundary curve into a number of curve segments with equal horizontal lengths, and obtain the slopes of the curve segments;

[0054] Get the slope of the adsorption reference line;

[0055] Compare the slope of the curve segment to the slope of the snapped guide:

[0056] If the slope of the curve segment is greater than or equal to the slope of the adsorption reference line, the corresponding curve segment is marked as a sharp change curve segment;

[0057] If the slope of the curve segment is less than the slope of the adsorption reference line, the corresponding curve segment is marked as a non-sharply changing curve segment;

[0058] Count the number of sharply changing curve segments, and perform ratio processing on the number of sharply changing curve segments and the total number of curve segments to obtain the sharpness value JC;

[0059] The time difference SC and the sharpness value JC are processed;

[0060] By formula: The sharp characterization value JB is calculated, where a1 and a2 are both preset proportional coefficients, a1 is 1.562, and a2 is 1.629;

[0061] Compare the sharpness characterization value JB with the sharpness characterization threshold:

[0062] If the sharp characterization value JB is greater than or equal to the sharp characterization threshold, it means that the abnormal adsorption state of ions changes sharply within the detection period T, and a control signal is generated;

[0063] If the sharp characterization value JB is less than the sharp characterization threshold, it means that the abnormal adsorption amount of ions in the detection period T shows a non-sharp change, and no operation is performed;

[0064] Impact analysis module: Based on the control signal, the solution temperature value of the lithium carbonate production solution during the impurity ion exchange is analyzed to obtain the temperature impact value. Based on the temperature impact value, it is determined whether the temperature is the cause of the impurity ion adsorption. If so, an impact signal is generated;

[0065] When the solution used in lithium carbonate production is used for impurity ion adsorption, abnormal temperature will have an adverse effect on the performance of the ion exchange resin. Excessive temperature will cause the pores of the ion adsorption resin to be destroyed. When the pore structure is destroyed, the path for impurity ions to enter the resin is blocked, reducing the chance of ions contacting the adsorption sites inside the resin. If the temperature is too low, the ion exchange resin will shrink. The microporous channels originally used to adsorb impurity ions may be partially closed due to the shrinkage of the resin, making it difficult for impurity ions to enter the resin and contact the active adsorption sites, thereby reducing the adsorption effect. Therefore, in the case of abnormal ion adsorption, the embodiment of the present invention performs an impact analysis on the temperature during ion adsorption, which is conducive to determining the cause of the impact in the case of abnormal ion adsorption and facilitating the effective investigation of the influencing factors.

[0066] Obtaining the temperature value of the lithium carbonate production solution at each time point within the detection period T;

[0067] The temperature values ​​of the lithium carbonate production solution at each time point in the detection period T are marked and connected in a two-dimensional coordinate system to obtain a temperature change curve, wherein the x-axis is time and the y-axis is temperature;

[0068] Compare the temperature change curve with the standard range of solution temperature, mark the period when the temperature change curve is not within the standard range of solution temperature as the abnormal temperature period, and compare the abnormal temperature period with the period corresponding to the out-of-bounds curve:

[0069] If the time period corresponding to the out-of-bounds curve overlaps with the temperature abnormality period, the corresponding time period is marked as the overlapping period;

[0070] If the time period corresponding to the out-of-bounds curve does not overlap with the temperature abnormality period, no operation will be performed;

[0071] The duration corresponding to all overlapping periods is processed by ratio with the duration corresponding to the over-boundary curve to obtain the overlapping duration ratio CS;

[0072] The temperature change curve corresponding to the temperature abnormality period is marked as the temperature abnormality curve;

[0073] The temperature anomaly curve is divided into a number of temperature sub-curves with equal horizontal lengths, wherein the horizontal length of the temperature sub-curve is equal to the horizontal length of the curve segment;

[0074] Integrate the temperature sub-curves and curve segments with the same time points corresponding to the endpoints into a curve group;

[0075] Obtain the slope of the temperature sub-curve, and perform ratio processing on it and the slope of the corresponding curve segment to obtain the slope ratio of the curve group;

[0076] The slope ratios corresponding to all curve groups are integrated into a slope ratio data group, and the variance of the slope ratios in the slope ratio data group is calculated to obtain the coincidence variance value CC;

[0077] The overlap time ratio CS and the overlap variance value CC are processed by the formula: The temperature influence value WY is calculated, where s1 and s2 are preset proportional coefficients, s1 is 1.563, and s2 is 0.269;

[0078] Compare the temperature impact value to the temperature impact threshold:

[0079] If the temperature impact value is greater than or equal to the temperature impact threshold, it means that the temperature is the cause of the abnormal impurity adsorption of the solution used in the lithium carbonate production line, and an impact signal is generated;

[0080] If the temperature impact value is less than the temperature impact threshold, a non-impact signal is generated, and further analysis is required on other factors that affect the abnormal adsorption of impurities in the solution used in the lithium carbonate production line, including but not limited to pH value, pressure, etc.;

[0081] Impact control module: Based on the impact signal, the temperature control value is obtained, and the temperature of the solution used in the lithium carbonate production line when removing abnormal ions is controlled based on the temperature control value;

[0082] Specifically, the abnormal ion adsorption amount when the control signal is generated is obtained, and the abnormal ion adsorption amount is subjected to difference processing with the maximum abnormal ion adsorption amount to obtain the abnormal ion adsorption amount to be controlled;

[0083] All slope ratios in the slope ratio data group are summed and averaged to obtain a control coefficient, and the control coefficient is multiplied by the amount of abnormal ion adsorption to be controlled to obtain a temperature control value;

[0084] It should be noted that the slope ratio in the slope data group reflects the relative change ratio between the temperature and the ion adsorption amount when the temperature anomaly and the ion adsorption amount are both abnormal. The ion abnormal adsorption amount to be controlled reflects the deviation value between the ion abnormal adsorption amount and the maximum ion abnormal adsorption amount. The deviation value is multiplied by the relative change ratio between the temperature and the ion adsorption amount to obtain the temperature control value corresponding to the deviation value between the ion abnormal adsorption amount and the maximum ion abnormal adsorption amount. For example, assuming that the relative change ratio between the temperature and the ion adsorption amount is 1 / 2, and the deviation value between the ion abnormal adsorption amount and the maximum ion abnormal adsorption amount is 8, then the temperature control value is 8*(1 / 2)=4;

[0085] The technical scheme of the embodiment of the present invention is mainly as follows: based on the analysis signal, according to the abnormal ion adsorption data, a sharp characterization value JB is obtained by processing, and the change of the abnormal ion adsorption within the detection period T is judged according to the sharp characterization value JB. If the sharp characterization value JB is greater than or equal to the sharp characterization threshold, it means that the abnormal ion adsorption state within the detection period T changes sharply, and a control signal is generated; based on the control signal, the temperature value of the solution used in lithium carbonate production is analyzed when the impurity ions are exchanged to obtain a temperature influence value, and based on the temperature influence value, it is judged whether the temperature is the cause of the impurity ion adsorption, and if so, an influence signal is generated; based on the influence signal, a temperature control value is obtained, and the temperature of the lithium carbonate production line solution when the abnormal ions are removed is regulated based on the temperature control value; the present invention determines whether the solution temperature is the cause of the impurity ion adsorption, analyzes to obtain the temperature control value, and based on the temperature control value, when the lithium carbonate production line solution performs the impurity ion adsorption operation, the temperature is regulated, which is beneficial to ensure the removal efficiency of the impurity ions, thereby reducing the corrosion of the impurity ions to the equipment during the subsequent solution storage and transportation process, and improving the purity of the lithium carbonate.

[0086] Embodiment 3

[0087] Based on Example 2, please refer to Figure 2 As shown, a solution storage and transportation method for a lithium carbonate production line according to an embodiment of the present invention further includes the following steps:

[0088] Step 1: Processing the solution conductivity and solution flow rate to obtain the ion adsorption amount of the lithium carbonate production solution at each time point within the detection period T in the ion exchange unit;

[0089] Step 2: Compare the ion adsorption amount of the lithium carbonate production solution at each time point in the detection period T in the ion exchange unit with the constructed ion adsorption amount range interval, and if the abnormal ion adsorption amount corresponding to each time point in the detection period T is within the adsorption amount analysis interval, generate an analysis signal;

[0090] Step 3: Based on the analysis signal, according to the ion abnormal adsorption data, a sharp characterization value JB is processed to obtain the change of the ion abnormal adsorption within the detection period T according to the sharp characterization value JB. If the sharp characterization value JB is greater than or equal to the sharp characterization threshold, a control signal is generated;

[0091] Step 4: Based on the control signal, the solution temperature value of the lithium carbonate production solution during the impurity ion exchange is analyzed to obtain a temperature influence value, and based on the temperature influence value, it is determined whether the temperature is the cause of the impurity ion adsorption, and if so, an influence signal is generated;

[0092] Step 5: Based on the influencing signal, a temperature control value is obtained, and based on the temperature control value, the temperature of the solution used in the lithium carbonate production line for removing abnormal ions is controlled.

[0093] Embodiment 4

[0094] Reference Figure 3 The embodiment of the present invention further provides a computer device 3, comprising: a memory 302 and a processor 301 and a computer program 303 stored in the memory 302. When the computer program 303 is executed on the processor 301, a solution storage and transportation system for a lithium carbonate production line as described in any one of the above systems is implemented.

[0095] The computer device 3 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 3 may include, but is not limited to, a processor 301 and a memory 302. Those skilled in the art will appreciate that

[0096] Figure 3It is only an example of computer device 3 and does not constitute a limitation on computer device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, etc.

[0097] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0098] In some embodiments, the memory 302 may be an internal storage unit of the computer device 3, such as a hard disk or memory of the computer device 3. In other embodiments, the memory 302 may also be an external storage device of the computer device 3, such as a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device 3. Further, the memory 302 may also include both an internal storage unit of the computer device 3 and an external storage device. The memory 302 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 302 may also be used to temporarily store data that has been output or is to be output.

[0099] Embodiment 5

[0100] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, a solution storage and conveying system for a lithium carbonate production line as described in any one of the above-mentioned systems is implemented.

[0101] In this embodiment, if the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0102] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0103] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

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

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

[0106] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0107] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A solution storage and delivery system for a lithium carbonate production line, characterized in that: include: Data acquisition module: Processing the solution conductivity and solution flow rate to obtain the ion adsorption amount of the lithium carbonate production solution at each time point in the detection period T in the ion exchange unit; Adsorption analysis module: compare the ion adsorption amount of the lithium carbonate production solution at each time point in the detection period T in the ion exchange unit with the constructed ion adsorption amount range interval, and generate an analysis signal if the abnormal ion adsorption amount corresponding to each time point in the detection period T is within the adsorption amount analysis interval; Control signal generation module: Based on the analysis signal and the abnormal ion adsorption data, a sharp characterization value JB is obtained, and the change of abnormal ion adsorption within the detection period T is judged according to the sharp characterization value JB. If the sharp characterization value JB is greater than or equal to the sharp characterization threshold, a control signal is generated; Impact analysis module: Based on the control signal, the solution temperature value of the lithium carbonate production solution during the impurity ion exchange is analyzed to obtain the temperature impact value. Based on the temperature impact value, it is determined whether the temperature is the cause of the impurity ion adsorption. If so, an impact signal is generated; Impact control module: Based on the impact signal, the temperature control value is obtained, and based on the temperature control value, the temperature of the solution used in the lithium carbonate production line for removing abnormal ions is controlled.

2. A solution storage and delivery system for a lithium carbonate production line according to claim 1, characterized in that: The method for obtaining the abnormal ion adsorption amount is: Obtaining the solution conductivity and solution flow rate, analyzing and obtaining the actual abnormal anion adsorption amount AY after passing through the strong acid cation exchange resin and the actual abnormal cation adsorption amount BY after passing through the strong base anion exchange resin; The actual abnormal anion adsorption amount AY after passing through the strongly acidic cation exchange resin and the actual abnormal cation adsorption amount BY after passing through the strongly basic anion exchange resin are summed to obtain the abnormal ion adsorption amount.

3. A solution storage and delivery system for a lithium carbonate production line according to claim 2, characterized in that: The actual abnormal anion adsorption amount AY after passing through the strong acid cation exchange resin and the actual abnormal cation adsorption amount BY after passing through the strong basic anion exchange resin are obtained as follows: The conductivity of solutions containing target anions of different concentrations was measured respectively, and a standard curve of anion concentration-conductivity was drawn; According to the conductivity of the solution outlet, the corresponding ion concentration is found in the anion concentration-conductivity standard curve, and it is marked as the outlet anion concentration; according to the conductivity of the solution inlet, the corresponding anion concentration is found in the anion concentration-conductivity standard curve, and it is marked as the inlet anion concentration; the outlet anion concentration is subtracted from the inlet anion concentration, and the absolute value of the difference is taken to obtain the actual anion concentration deviation value; The detection period T is divided into several time nodes, and the actual anion concentration deviation value and solution flow rate corresponding to the time node are obtained. The actual anion concentration deviation value corresponding to the time node is multiplied by the solution flow rate to obtain the anion adsorption amount at the current time point, and the anion adsorption amount at the current time node is subtracted from the anion adsorption amount standard value, and the difference is taken as the absolute value to obtain the actual anion abnormal adsorption amount AY at the current time node; Similarly, the actual abnormal cation adsorption amount BY corresponding to each time point within the detection period T is obtained.

4. A solution storage and delivery system for a lithium carbonate production line according to claim 1, characterized in that: The construction method of the abnormal ion adsorption range is as follows: Obtain the standard value YB of abnormal ion adsorption when the lithium carbonate production solution is subjected to impurity ion adsorption, obtain the abnormal ion adsorption data of multiple lithium carbonate production solution impurity ion treatment processes in history, wherein the ion adsorption data includes the abnormal ion adsorption amount, and screen out the maximum abnormal ion adsorption amount from the abnormal ion adsorption data of each lithium carbonate production solution impurity ion treatment process, sum and average all the screened maximum abnormal ion adsorption amounts, and obtain the maximum normal abnormal ion adsorption amount YZ; The range of abnormal ion adsorption is constructed based on the standard value of abnormal ion adsorption YB and the maximum normal abnormal ion adsorption YZ; Among them, the range of abnormal ion adsorption includes the normal adsorption range and the adsorption analysis range; Among them, the normal range of adsorption amount is: [0-YZ], and the analysis range of adsorption amount is: (YZ-YB].

5. A solution storage and delivery system for a lithium carbonate production line according to claim 1, characterized in that: The method for obtaining the sharp characterization value JB is as follows: Obtain the abnormal ion adsorption amount at each time point within the detection period T, construct the abnormal ion adsorption change curve, and obtain the time difference SC and the sharpness value JC based on the analysis of the abnormal ion adsorption change curve; The time difference SC and the sharpness value JC are processed; By formula: The sharp characterization value JB is calculated, wherein a1 and a2 are both preset proportional coefficients.

6. A solution storage and delivery system for a lithium carbonate production line according to claim 5, characterized in that: The time difference SC is obtained in the following manner: The abnormal ion adsorption amounts at each time point within the detection period T are marked and connected in a two-dimensional coordinate system to obtain an abnormal ion adsorption change curve; On the y-axis in the coordinate system, a straight line parallel to the x-axis is drawn with the maximum abnormal adsorption of normal ions as the reference value, and it is marked as the maximum adsorption line; The intersection of the maximum adsorption line and the abnormal ion adsorption change curve is marked as an over-limit point, and the over-limit point is connected with the maximum ion abnormal adsorption mark point to obtain an adsorption reference line; The time point corresponding to the over-limit point is subtracted from the time point corresponding to the maximum ion abnormal adsorption mark point to obtain the time difference SC.

7. A solution storage and delivery system for a lithium carbonate production line according to claim 5, characterized in that: The method for obtaining the sharpness value JC is as follows: The abnormal adsorption variation curve of ions beyond the maximum adsorption line is marked as the over-limit curve; Divide the super-boundary curve into a number of curve segments with equal horizontal lengths, and obtain the slopes of the curve segments; Get the slope of the adsorption reference line; Compare the slope of the curve segment to the slope of the snapped guide: If the slope of the curve segment is greater than or equal to the slope of the adsorption reference line, the corresponding curve segment is marked as a sharp change curve segment; If the slope of the curve segment is less than the slope of the adsorption reference line, the corresponding curve segment is marked as a non-sharply changing curve segment; The number of sharply changing curve segments is counted, and the number of sharply changing curve segments is ratioed to the total number of curve segments to obtain the sharpness value JC.

8. A solution storage and delivery system for a lithium carbonate production line according to claim 1, characterized in that: The temperature influence value WY is obtained as follows: Obtain the temperature value of the lithium carbonate production solution at each time point within the detection period T, construct a temperature change curve, and analyze and obtain the overlap time ratio CS and the overlap variance value CC based on the temperature change curve; The overlap time ratio CS and the overlap variance value CC are processed by the formula: The temperature influence value WY is calculated, where s1 and s2 are both preset proportional coefficients.

9. A solution storage and delivery system for a lithium carbonate production line according to claim 8, characterized in that: The overlap duration ratio CS and the overlap variance value CC are obtained as follows: Obtaining the temperature value of the lithium carbonate production solution at each time point within the detection period T; The temperature values ​​of the lithium carbonate production solution at each time point within the detection period T are marked and connected in a two-dimensional coordinate system to obtain a temperature change curve; Compare the temperature change curve with the standard range of solution temperature, mark the period when the temperature change curve is not within the standard range of solution temperature as the abnormal temperature period, and compare the abnormal temperature period with the period corresponding to the out-of-bounds curve: If the time period corresponding to the out-of-bounds curve overlaps with the temperature abnormality period, the corresponding time period is marked as the overlapping period; If the time period corresponding to the out-of-bounds curve does not overlap with the temperature abnormality period, no operation will be performed; The duration corresponding to all overlapping periods is processed by ratio with the duration corresponding to the over-boundary curve to obtain the overlapping duration ratio CS; The temperature change curve corresponding to the temperature abnormality period is marked as the temperature abnormality curve; The temperature anomaly curve is divided into a number of temperature sub-curves with equal horizontal lengths, wherein the horizontal length of the temperature sub-curve is equal to the horizontal length of the curve segment; Integrate the temperature sub-curves and curve segments with the same time points corresponding to the endpoints into a curve group; Obtain the slope of the temperature sub-curve, and perform ratio processing on it and the slope of the corresponding curve segment to obtain the slope ratio of the curve group; The slope ratios corresponding to all curve groups are integrated into a slope ratio data group, and the variance of the slope ratios in the slope ratio data group is calculated to obtain the coincidence variance value CC.

10. A solution storage and delivery system for a lithium carbonate production line according to claim 1, characterized in that: The temperature control value is obtained in the following manner: Acquire the abnormal ion adsorption amount when the control signal is generated, perform difference processing on the abnormal ion adsorption amount and the maximum abnormal ion adsorption amount, and obtain the abnormal ion adsorption amount to be controlled; All slope ratios in the slope ratio data group are summed and averaged to obtain the control coefficient, and the control coefficient is multiplied by the amount of abnormal ion adsorption to be controlled to obtain the temperature control value.

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