Intelligent hollow anti-blocking double-sensing point floating ball liquid level device and control system

Abstract

The invention relates to the technical field of liquid level measurement, in particular to an intelligent hollow anti-clamping double-induction-point floating ball liquid level device and a control system.The intelligent hollow anti-clamping double-induction-point floating ball liquid level device comprises a fixing nut, a fixing rod, a buckle, an induction magnetic ring, a floating ball upper cover, a floating ball lower cover, a nut flange, a highest liquid level point, a lowest liquid level point, a buckle fixing groove, a magnetic ring shell, a buckle, a hollow valve and a floating ball; according to the control system, the floating ball liquid level device is placed on the liquid level of a medium, the floating ball liquid level device can automatically adjust the best highest liquid level point and the best lowest liquid level point according to the condition of the medium so as to adapt to various media, the purpose of high-precision liquid level monitoring is achieved, and the monitoring precision of changes of all the media is improved while various media are coped with.

Description

Technical Field

[0001] The present invention relates to the technical field of liquid level measurement, and in particular to an intelligent hollow anti-stuck dual-sensing point float liquid level device and a control system. Background Art

[0002] The height of a liquid medium in a container is called the liquid level, and the instrument used to measure this level is called a level gauge. A level gauge is a type of physical instrument with advantages such as simple structure, ease of use, stable performance, long service life, and easy installation and maintenance. It is widely used for level measurement in oil processing, food processing, chemical industry, water treatment, pharmaceuticals, electric power, papermaking, metallurgy, shipbuilding, and boilers.

[0003] Chinese Patent Publication No. CN109253778B discloses a float level gauge, comprising a level gauge fixture, a level gauge port mounted on the fixture, a hollow float rod fixedly mounted on the fixture, a liquid level sensor disposed on the hollow float rod, and a float rod assembly for use with the liquid level sensor, the float rod assembly comprising a float, a sensing float, and a connecting screw, the float being mounted on the hollow float rod, the upper end of the connecting screw being fixed to the float, the sensing float being mounted on the connecting screw and the hollow float rod, and at least one end being fixed to the connecting screw, the sensing float being slidable relative to the hollow float rod, thereby achieving the technical effect of being applicable to various liquid level heights, having an adjustable range, and high measurement accuracy. However, this solution cannot adapt to changes in medium density, nor can it flexibly adjust the liquid level point according to changes in medium density, resulting in insufficient monitoring accuracy of the level gauge under changing medium density conditions, which seriously restricts the application of the level gauge in various complex scenarios. Summary of the Invention

[0004] To this end, the present invention provides an intelligent hollow anti-stuck dual-sensing point float liquid level device and control system to overcome the problem in the prior art that it is difficult to flexibly adjust the liquid point according to changes in medium density, resulting in insufficient monitoring accuracy of the liquid level meter when the medium density changes.

[0005] To achieve the above objectives, the present invention provides, on the one hand, an intelligent hollow anti-stuck dual-sensing point float liquid level device, comprising:

[0006] a fixing nut, which is threadedly connected to the fixing rod;

[0007] a fixing rod threadedly connected to the fixing nut;

[0008] A buckle connected to the bottom of the fixing rod;

[0009] An induction magnetic ring, which is arranged on the magnetic ring housing;

[0010] A float upper cover connected to a float lower cover;

[0011] A float lower cover connected to a float upper cover;

[0012] a nut flange, which is arranged between the fixing nut and the fixing rod;

[0013] A maximum liquid point, which is set on the fixed rod;

[0014] A minimum liquid level point, which is set on the fixed rod;

[0015] A buckle fixing groove is provided at the bottom of the fixing rod;

[0016] The magnetic ring housing is connected to the float cover;

[0017] A buckle, which is provided on the magnetic ring housing;

[0018] Hollow valve, set under the float cover;

[0019] a float ball connected to the fixed rod;

[0020] A control system is connected with the highest liquid point, the lowest liquid point and the hollow valve.

[0021] On the other hand, the present invention also provides a control system for an intelligent hollow anti-stuck dual-sensing point float liquid level device, the control system comprising:

[0022] Data acquisition module, used to acquire float data;

[0023] Hollow optimization module, used to set the liquid point according to the float data, and also used to adjust the liquid point;

[0024] The intelligent control module is used to control the hollow valve according to the float data and the liquid point, to adjust the time of the control of the hollow valve, to make viscosity correction for the time adjustment process, and to make temperature correction for the viscosity correction process of the time adjustment; the alarm module is used to monitor the real-time liquid level of the medium, obtain the monitoring results, and issue an alarm based on the monitoring results, to optimize the liquid point, and to perform alarm calibration for the liquid point optimization process.

[0025] Furthermore, when the hollow optimization module sets the liquid point according to the float data, it calculates the optimal hollow volume Vz according to the float material density ρ1, the float mass m and the density of the medium to be measured ρ2 in the float data, and sets And calculate the float diameter D according to the float material density ρ1, float mass m and optimal hollow volume in the float data, and get the float diameter D, set π is the ratio of a circle to a circle. The highest liquid point Hmax is set according to the float diameter D and the safety distance h. The highest liquid point Hmax is obtained and set to Hmax≤D+h. The lowest liquid point Hmin is also set according to the float diameter D and the minimum sensing distance △h. The lowest liquid point Hmin is obtained and set to Hmin≥D / 2+△h.

[0026] Furthermore, when the hollow optimization module adjusts the liquid point, the liquid level fluctuation difference △HB is calculated according to the maximum value H1 of the medium liquid level within the fluctuation period Tb and the minimum value H2 of the medium liquid level within the fluctuation period Tb in the float data, and HB=H1-H2 is set, 10min≤Tb≤30min, and the liquid level fluctuation difference △HB is compared with the preset fluctuation difference △H0, 0.5m≤△H0≤0.7m. The fluctuation difference is judged according to the comparison result, and the lowest liquid point is adjusted according to the judgment result, wherein:

[0027] When △HB≤△H0, the hollow optimization module determines that the fluctuation difference is small and does not adjust the lowest liquid point;

[0028] When △HB>△H0, the hollow optimization module determines that the fluctuation difference is large, adjusts the minimum liquid point, and adjusts the minimum liquid point Hmin according to the liquid level adjustment coefficient γ, 0.85≤γ≤0.95, obtains the adjusted minimum liquid point Hmint, sets Hmint=Hmin×γ, and replaces the minimum liquid point Hmin with the adjusted minimum liquid point Hmint.

[0029] Furthermore, when the intelligent control module controls the hollow valve according to the float data and the liquid point, the valve control method is used to control the hollow valve. The valve control method includes:

[0030] Step S1, calculating the liquid level error y according to the initial liquid level Hc and the liquid point Hs, obtaining the liquid level error y, and setting y=Hc-Hs;

[0031] Step S2, calculating the proportional control component P according to the liquid level error y, obtaining the proportional control component P, and setting P = Kp × y, where Kp is the proportional coefficient, 0.1≤Kp≤100;

[0032] Step S3, calculate the integral control component Q according to the liquid level error y, obtain the integral control component Q, and set Where Ki is the integral coefficient, t is the time, 0.01≤Ki≤10;

[0033] Step S4: Calculate the differential control component W according to the rate of change of the liquid level error dy / dt, obtain the differential control component W, and set Kd is the differential coefficient, 0≤Kd≤10;

[0034] Step S5, calculating the total control signal value u according to the proportional control component P, the integral control component I and the differential control component W to obtain the total control signal value u, and setting u=P+I+W;

[0035] Step S6: Compare the total control signal value u with the preset maximum signal value umax and the preset minimum signal value umin, 30=umin, umax=70, and judge the control signal strength according to the comparison result. Output the number of open air cavities N according to the judgment result, where:

[0036] When u≤umin, the intelligent control module determines that the control signal strength is low, calculates the first open air cavity number N1 according to the total number of air cavities n and the total control signal value, obtains the first open air cavity number N1, sets N1=n×u / umin, and outputs the first open air cavity number N1 as the open air cavity number N;

[0037] When umin<u≤umax, the intelligent control module determines that the control signal strength is medium, calculates the second open air cavity number N2 according to the total number of air cavities n and the total control signal value, obtains the second open air cavity number N2, sets N2=2×n×u / umax, and outputs the second open air cavity number N2 as the open air cavity number N;

[0038] When u>umax, the intelligent control module determines that the control signal strength is high, calculates the third open air cavity number N3 according to the total number of air cavities n and the total control signal value, obtains the third open air cavity number N3, sets N3=n / 2+n×(u-umax) / umax, and outputs the third open air cavity number N3 as the open air cavity number N;

[0039] Step S7, calculate the valve opening control signal value ui according to the total control signal value u and the number of open air cavities N, obtain the valve opening control signal value ui, set ui = u / N×K, K is the valve coefficient, and control the hollow valve according to each valve opening control signal value ui and the number of open air cavities N.

[0040] Furthermore, when the intelligent control module adjusts the time of the control of the hollow valve, the time Tz of the float liquid level device reaching the optimal hollow volume in the float data is compared with the preset time Tz0 of the float liquid level device reaching the optimal hollow volume, 5min≤Tz0≤7min, and the time situation is judged according to the comparison result, and the time of the open air cavity number N is adjusted according to the judgment situation, wherein:

[0041] When Tz≤Tz0, the intelligent control module determines that the time situation is short and does not adjust the time of the number of open air cavities N;

[0042] When Tz>Tz0, the intelligent control module determines that the time situation is long, and adjusts the time of the number of open air cavities N. The time adjustment coefficient St=(Tz-Tz0) / Tz0 is used to adjust the time of the number of open air cavities N to obtain the adjusted number of open air cavities N`, set N`=St×N`, replace the number of open air cavities N with the adjusted number of open air cavities N`, and recalculate the opening control signal value ui of each valve according to the adjusted number of open air cavities N`.

[0043] Furthermore, when the intelligent control module performs viscosity correction on the time adjustment process, the viscosity Jn of the medium to be measured in the float data is compared with the preset viscosity Jn0 of the medium to be measured, 0.1 Pa·s≤Jn0≤1Pa·s, and the viscosity of the medium to be measured is judged according to the comparison result, and the viscosity correction is performed on the time adjustment process according to the judgment result, wherein:

[0044] When Jn≤Jn0, the intelligent control module determines that the viscosity of the medium to be measured is low, and does not perform viscosity correction on the time adjustment process;

[0045] When Jn>Jn0, the intelligent control module determines that the viscosity of the medium to be measured is high, and performs viscosity correction on the time adjustment process. The viscosity correction coefficient α=1.42-0.3×e-0.7×(Jn-Jn0) is used to perform viscosity correction on the preset time Tz0 for the float liquid level device to reach the optimal hollow volume, and obtain the corrected time Tz0` for the preset time Tz0` for the float liquid level device to reach the optimal hollow volume. Tz0`=Tz0×α is set, and the preset time Tz0 for the float liquid level device to reach the optimal hollow volume is replaced with the corrected time Tz0` for the preset time Tz0` for the float liquid level device to reach the optimal hollow volume. The time Tz for the float liquid level device to reach the optimal hollow volume is re-compared with the corrected time Tz0` for the preset time Tz0` for the float liquid level device to reach the optimal hollow volume.

[0046] Furthermore, when the intelligent control module performs temperature correction on the time-adjusted viscosity correction process, the measured temperature Wc in the float data is compared with the preset maximum measured temperature Wcmax and the preset minimum measured temperature Wcmin, 23°C = Wcmin, Wcmax = 27°C, and the medium temperature is judged based on the comparison result. The time-adjusted viscosity correction process is temperature-corrected based on the judgment result, wherein:

[0047] When Wc≤Wcmin, the intelligent control module determines that the medium temperature is low, performs temperature correction on the time-adjusted viscosity correction process, and performs temperature correction on the preset viscosity of the medium to be measured Jn0 by the first temperature correction coefficient wx1=1+(Wcmin-Wc) / Wcmin to obtain the first corrected preset viscosity of the medium to be measured Jn01, sets Jn01=wx1×Jn0, replaces the preset viscosity of the medium to be measured Jn0 with the first corrected preset viscosity of the medium to be measured Jn01, and re-compares the viscosity of the medium to be measured Jn with the first corrected preset viscosity of the medium to be measured Jn01;

[0048] When Wcmin<Wc≤Wcmax, the intelligent control module determines that the medium temperature is medium and does not perform temperature correction on the viscosity correction process of time adjustment;

[0049] When Wc>Wcmax, the intelligent control module determines that the medium temperature is high, performs temperature correction on the time-adjusted viscosity correction process, and performs temperature correction on the preset viscosity of the medium to be tested Jn0 through the second temperature correction coefficient wx2=1-(Wc-Wcmax) / Wcmax to obtain the second corrected preset viscosity of the medium to be tested Jn02. Set Jn02=wx2×Jn0, replace the preset viscosity of the medium to be tested Jn0 with the second corrected preset viscosity of the medium to be tested Jn02, and re-compare the viscosity of the medium to be tested Jn with the second corrected preset viscosity of the medium to be tested Jn02.

[0050] Furthermore, the alarm module monitors the real-time liquid level of the medium, obtains the monitoring results, and issues an alarm based on the monitoring results. The real-time liquid level Hjs of the medium is compared with the highest liquid point Hmax and the lowest liquid point Hmin, and the medium liquid level is judged based on the comparison results, and an alarm is issued based on the judgment results, wherein:

[0051] When Hjs≤Hmin, the alarm module determines that the medium liquid level is too low and issues a low alarm;

[0052] When Hmin<Hjs<Hmax, the alarm module determines that the medium liquid level is moderate and does not issue an alarm;

[0053] When Hjs≥Hmax, the alarm module determines that the medium liquid level is too high and issues an alarm.

[0054] Furthermore, when the alarm module optimizes the liquid point, it calculates the alarm time interval △tj according to the j-th over-high alarm time tj and the j+1-th over-high alarm time tj+1 in the float data, sets △tj=t2-t1, and calculates the average time interval according to the alarm time interval △tj and the total number of alarms Bz. Calculate and set Compare the alarm time interval △tj with the average time interval △t, and judge the alarm frequency based on the comparison result, and optimize the liquid point location based on the judgment result, where:

[0055] when When the alarm module determines that the alarm is frequent, the alarm is not frequent, and does not optimize the liquid point location;

[0056] When △tj<△t, the alarm module determines that the frequent alarm situation is a frequent alarm, optimizes the liquid point point, and optimizes the highest liquid point Hmax through the point optimization coefficient zy=△t / △tj to obtain the optimized highest liquid point Hmax`, sets Hmax`=zy×Hmax, and replaces the highest liquid point Hmax with the optimized highest liquid point Hmax`.

[0057] Compared with the prior art, the beneficial effect of the present invention is that by placing the float liquid level device on the medium liquid surface, the float liquid level device can automatically adjust the optimal highest liquid point and the lowest liquid point according to the medium conditions to adapt to various media and improve the monitoring accuracy of different media. When the liquid level changes, the float will slide on the fixed rod with the induction magnetic ring. During the sliding process, the induction magnetic ring will cover the highest liquid point and the lowest liquid point, and generate an induction signal, which will be sent to the terminal to send an alarm to the staff, so that the medium can be adjusted in time to achieve the purpose of high-precision liquid level monitoring. While responding to various media, the monitoring accuracy of changes in each medium can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 This is a structural diagram of the intelligent hollow anti-stuck dual-sensing point float liquid level device of this embodiment;

[0059] Figure 2 Schematic diagram of the structure of the fixing rod of this embodiment;

[0060] Figure 3 This is a structural diagram of the control system of the intelligent hollow anti-stuck dual-sensing point float liquid level device of this embodiment. DETAILED DESCRIPTION

[0061] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0062] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0063] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0064] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0065] See also Figure 1 The figure is a schematic diagram of the structure of the intelligent hollow anti-stuck dual-sensing point float liquid level device of this embodiment, which includes:

[0066] A fixing nut 1, which is threadedly connected to the fixing rod 2 and is used to fix the float 14 and the fixing rod;

[0067] A fixing rod 2, which is threadedly connected to the fixing nut 1, is used to connect the floating ball 14 and guide the movement of the floating ball 14;

[0068] The buckle 3 is connected to the bottom of the fixed rod 2 and is used to limit the sliding of the float cover 5 and prevent the float cover 5 from falling off the fixed rod 2;

[0069] The induction magnetic ring 4 is provided on the magnetic ring housing 11 and is used to monitor the liquid level change and interact with the highest liquid point 8 and the lowest liquid point 9;

[0070] The float upper cover 5 is connected to the float lower cover 6 and serves as the outer shell of the float 14;

[0071] The float lower cover 6 is connected to the float upper cover 5 and is used as a shell of the float 14;

[0072] a nut flange 7, which is provided between the fixing nut 1 and the fixing rod 2 and is used to increase the contact area of ​​the fixing nut 1;

[0073] A maximum liquid level point 8, which is provided on the fixed rod 2 and is used to monitor the maximum liquid level of the medium;

[0074] A minimum liquid level point 9, which is provided on the fixed rod 2 and is used to monitor the minimum liquid level of the medium;

[0075] A buckle fixing groove 10 is provided at the bottom of the fixing rod 2 and is used for installing a buckle 12;

[0076] The magnetic ring housing 11 is connected to the float cover 5 and is used to install the induction magnetic ring 4 on the float cover 5;

[0077] A buckle 12 is provided on the magnetic ring housing 11 and is used to connect the float upper cover 5 and the magnetic ring housing 11;

[0078] The hollow valve 13 is provided on the lower cover 6 of the float and has a plurality of air cavities (not shown) built in for inflating the float 14;

[0079] A float 14 connected to the fixed rod 2 for monitoring liquid level changes;

[0080] The control system 15 is connected to the highest liquid point 8 , the lowest liquid point 9 , and the hollow valve 13 , and is used to control the highest liquid point 8 , the lowest liquid point 9 , and the hollow valve 13 .

[0081] Specifically, the intelligent hollow anti-stuck dual-sensing point float liquid level device of the present invention is applied to medium liquid level monitoring. By placing the float liquid level device on the medium liquid surface, the float liquid level device can automatically adjust the optimal highest liquid point and the lowest liquid point according to the medium conditions to adapt to various media and improve the monitoring accuracy for different media. When the liquid level changes, the float will slide on the fixed rod with the induction magnetic ring. During the sliding process, the induction magnetic ring will cover the highest liquid point and the lowest liquid point, and generate an induction signal. The induction signal is sent to the terminal to send an alarm to the staff, so that the medium can be adjusted in time to achieve the purpose of high-precision liquid level monitoring. While responding to various media, the monitoring accuracy of changes in each medium is improved.

[0082] See also Figure 2 FIG. 1 is a schematic diagram of the structure of the fixing rod of this embodiment, wherein the fixing rod comprises:

[0083] The highest liquid level point 8 is provided at the upper end of the fixed rod 2 and has a built-in magnetic coupling sensor (not shown in the figure) for monitoring the highest liquid level of the medium;

[0084] The minimum liquid level point 9 is provided at the lower end of the fixed rod 2 and has a built-in magnetic coupling sensor (not shown in the figure) for monitoring the minimum liquid level of the medium;

[0085] The internal circuit 16 is disposed inside the fixing rod and is used for transmitting signals.

[0086] See also Figure 3The figure is a schematic diagram of the structure of the control system of the intelligent hollow anti-stuck dual-sensing point float liquid level device of this embodiment, and the control system includes:

[0087] Data acquisition module, used to acquire float data;

[0088] A hollow optimization module is used to set the liquid point according to the float data and to adjust the liquid point. The hollow optimization module is connected to the data acquisition module.

[0089] an intelligent control module for controlling the hollow valve according to the float data and the liquid point, for adjusting the time of the control of the hollow valve, for performing viscosity correction during the time adjustment process, and for performing temperature correction during the viscosity correction process during the time adjustment process, the intelligent control module being connected to the hollow optimization module;

[0090] The alarm module is used to monitor the real-time liquid level of the medium, obtain the monitoring results, and issue an alarm based on the monitoring results. It is also used to optimize the liquid point position and to perform alarm proofreading on the liquid point position optimization process. The alarm module is connected to the hollow optimization module.

[0091] Specifically, the control system is applied to an intelligent hollow anti-stuck dual-sensing point float liquid level device. The float liquid level device is controlled by the control system, and the liquid point is adjusted according to the actual measurement medium situation, adapted to various medium environments, and the accuracy of medium liquid level monitoring is ensured to obtain better monitoring effects. The control system acquires the float data through the data acquisition module for subsequent setting and control of the float liquid level device. The system also sets the liquid point through the hollow optimization module, and adjusts the liquid point according to the liquid level fluctuation difference to obtain the highest liquid point and the lowest liquid point suitable for the medium to be measured, thereby improving the liquid level monitoring accuracy of the medium to be measured. The system also uses the valve control method through the intelligent control module to control the hollow valve according to the initial liquid level, the highest liquid point and the lowest liquid point, so that the float liquid level device can float on the medium to monitor the liquid level of the medium, adapt to various medium environments, and improve the adaptability of monitoring. At the same time, according to the time when the float liquid level device reaches the optimal hollow volume, the number of air cavities opened by the hollow valve is adjusted in time to improve the adaptability of the float liquid level device to various media, so as to shorten the time to reach the optimal hollow volume, thereby increasing the inflation speed of the float liquid level device and further improving the inflation response efficiency. By judging the viscosity of the medium to be measured, the viscosity correction is made to the preset time when the float liquid level device reaches the optimal hollow volume. When the medium to be measured is When the viscosity is high, the medium to be measured with high viscosity will affect the inflation and expansion of the float part of the float level device, which increases the time required for inflation and expansion. By increasing the preset time for the float level device to reach the optimal hollow volume, the influence of viscosity on the time situation judgment is reduced, the accuracy of time situation judgment is improved, and the inflation response efficiency is improved. The control system also issues an alarm for the medium level situation through the alarm module to remind the staff to replenish or stop adding the medium, which is convenient for the staff to manage the medium reserve. By judging the frequent alarm situation and optimizing the liquid point according to the judgment result, the monitoring sensitivity is improved. The frequent alarm may be due to repeated use and Add new media. When the alarm is frequent, increase the highest liquid point and reduce the alarm frequency to solve the problem of frequent alarms caused by multiple uses and adding new media, improve alarm accuracy, reduce false alarms, and thus improve monitoring accuracy. By judging the fluctuation difference, perform alarm calibration on the point optimization process of the liquid point. Frequent alarms will be caused by excessive fluctuation difference of the medium liquid level, and the alarm is inaccurate, which will affect the judgment of frequent alarms. By reducing the average time interval, the influence of excessive fluctuation difference of the medium liquid level on the judgment of frequent alarms is reduced, thereby improving the accuracy of alarms and point optimization of the highest liquid point, and achieving the purpose of high-precision monitoring.

[0092] Specifically, the float data includes float material density, float mass, density of the medium to be measured, safety distance, minimum sensing distance, maximum value of the medium liquid level within the fluctuation period, minimum value of the medium liquid level within the fluctuation period, initial liquid level, total number of air cavities, time for the float liquid level device to reach the optimal hollow volume, viscosity of the medium to be measured, measurement temperature, real-time liquid level of the medium, j-th over-high alarm time, j+1-th over-high alarm time and total number of alarms. The data acquisition module acquires the safety distance and the minimum sensing distance through the rangefinder. The data acquisition module acquires the ball material density, float mass and density of the medium to be measured through advance input by the staff. The data acquisition module acquires the jth over-alarm time, the j+1th over-alarm time and the total number of alarms through the alarm, acquires the measured temperature through the temperature measuring instrument, acquires the real-time liquid level of the medium, the highest value of the medium liquid level in the dynamic cycle, the lowest value of the medium liquid level in the fluctuation cycle and the initial liquid level through the liquid level sensor, acquires the total number of air cavities through the design drawing of the float liquid level device, acquires the time when the float liquid level device reaches the optimal hollow volume through the timer, and acquires the viscosity of the medium to be measured through the viscosity analyzer.

[0093] Specifically, when the hollow optimization module sets the liquid point according to the float data, it calculates the optimal hollow volume Vz according to the float material density ρ1, the float mass m and the density of the medium to be measured ρ2 in the float data, and sets And calculate the float diameter D according to the float material density ρ1, float mass m and optimal hollow volume in the float data, and get the float diameter D, set π is the ratio of a circle to a circle. The highest liquid point Hmax is set according to the float diameter D and the safety distance h. The highest liquid point Hmax is obtained and set to Hmax≤D+h. The lowest liquid point Hmin is also set according to the float diameter D and the minimum sensing distance △h. The lowest liquid point Hmin is obtained and set to Hmin≥D / 2+△h.

[0094] Specifically, the liquid point point refers to the liquid level alarm point of the float level device, the liquid point point includes the lowest liquid point point and the highest liquid point point, the float material density refers to the density of the material used to make the float level device, the float mass refers to the mass of the entire float level device, the density of the medium to be measured refers to the density of the medium placed in the float device to monitor it, the liquid point point refers to the point at which the float level device can normally monitor the liquid level changes of the medium, the liquid point point includes the highest liquid point point and the lowest liquid point point, the highest liquid point point refers to the highest height that the liquid level can reach when the float level device can work normally, the lowest liquid point point refers to the lowest height that the liquid level can reach when the float level device can work normally, the safety distance refers to the distance from the top of the float level device to the top of the medium container when the float level device is first placed in the medium, and the minimum sensing distance refers to the minimum distance from the bottom of the float device to the liquid point point that the float level device can set.

[0095] Specifically, the hollow optimization module sets the highest liquid point and the lowest liquid point of the float liquid level device according to the density of the medium to be measured, which can ensure that the float liquid level device accurately alarms according to the liquid level of the medium to be measured, thereby improving the accuracy of liquid level monitoring.

[0096] Specifically, when the hollow optimization module adjusts the liquid point, it calculates the liquid level fluctuation difference △HB according to the maximum value H1 of the medium liquid level within the fluctuation period Tb and the minimum value H2 of the medium liquid level within the fluctuation period Tb in the float data, sets HB=H1-H2, 10min≤Tb≤30min, compares the liquid level fluctuation difference △HB with the preset fluctuation difference △H0, 0.5m≤△H0≤0.7m, judges the fluctuation difference according to the comparison result, and adjusts the lowest liquid point according to the judgment result, wherein:

[0097] When △HB≤△H0, the hollow optimization module determines that the fluctuation difference is small and does not adjust the lowest liquid point;

[0098] When △HB>△H0, the hollow optimization module determines that the fluctuation difference is large, adjusts the minimum liquid point, and adjusts the minimum liquid point Hmin according to the liquid level adjustment coefficient γ, 0.85≤γ≤0.95, obtains the adjusted minimum liquid point Hmint, sets Hmint=Hmin×γ, and replaces the minimum liquid point Hmin with the adjusted minimum liquid point Hmint.

[0099] Specifically, the fluctuation period refers to the time period used to monitor the liquid level fluctuation difference, the highest value of the medium liquid level within the fluctuation period refers to the highest height reached by the medium liquid level within the time period of monitoring the liquid level fluctuation difference, the lowest value of the medium liquid level within the fluctuation period refers to the lowest height reached by the medium liquid level within the time period of monitoring the liquid level fluctuation difference, the preset fluctuation difference refers to the preset value for judging the fluctuation difference situation, the fluctuation difference situation refers to the size of the liquid level fluctuation difference judged based on the liquid level fluctuation difference and the preset fluctuation difference, and the fluctuation difference situation includes the fluctuation difference situation being small fluctuation and the fluctuation difference situation being large fluctuation.

[0100] Specifically, the hollow optimization module adjusts the lowest liquid point by judging the difference in liquid level fluctuations, regards the medium liquid level fluctuations as normal, adjusts the lowest liquid point, lowers the position of the lowest liquid point, and avoids multiple alarms of the float liquid level device under normal fluctuations.

[0101] Specifically, when the intelligent control module controls the hollow valve according to the float data and the liquid point, the valve control method is used to control the hollow valve. The valve control method includes:

[0102] Step S1, calculating the liquid level error y according to the initial liquid level Hc and the liquid point Hs, obtaining the liquid level error y, and setting y=Hc-Hs;

[0103] Step S2, calculating the proportional control component P according to the liquid level error y, obtaining the proportional control component P, and setting P = Kp × y, where Kp is the proportional coefficient, 0.1≤Kp≤100;

[0104] Step S3, calculate the integral control component Q according to the liquid level error y, obtain the integral control component Q, and set Where Ki is the integral coefficient, t is the time, 0.01≤Ki≤10;

[0105] Step S4: Calculate the differential control component W according to the rate of change of the liquid level error dy / dt, obtain the differential control component W, and set Kd is the differential coefficient, 0≤Kd≤10;

[0106] Step S5, calculating the total control signal value u according to the proportional control component P, the integral control component I and the differential control component W to obtain the total control signal value u, and setting u=P+I+W;

[0107] Step S6: Compare the total control signal value u with the preset maximum signal value umax and the preset minimum signal value umin, 30=umin, umax=70, and judge the control signal strength according to the comparison result. Output the number of open air cavities N according to the judgment result, where:

[0108] When u≤umin, the intelligent control module determines that the control signal strength is low, calculates the first open air cavity number N1 according to the total number of air cavities n and the total control signal value, obtains the first open air cavity number N1, sets N1=n×u / umin, and outputs the first open air cavity number N1 as the open air cavity number N;

[0109] When umin<u≤umax, the intelligent control module determines that the control signal strength is medium, calculates the second open air cavity number N2 according to the total number of air cavities n and the total control signal value, obtains the second open air cavity number N2, sets N2=2×n×u / umax, and outputs the second open air cavity number N2 as the open air cavity number N;

[0110] When u>umax, the intelligent control module determines that the control signal strength is high, calculates the third open air cavity number N3 according to the total number of air cavities n and the total control signal value, obtains the third open air cavity number N3, sets N3=n / 2+n×(u-umax) / umax, and outputs the third open air cavity number N3 as the open air cavity number N;

[0111] Step S7, calculate the valve opening control signal value ui according to the total control signal value u and the number of open air cavities N, obtain the valve opening control signal value ui, set ui = u / N×K, K is the valve coefficient, and control the hollow valve according to each valve opening control signal value ui and the number of open air cavities N.

[0112] Specifically, the initial liquid level refers to the initial liquid level height of the medium when the medium is detected, and the rate of change of the liquid level error dy / dt refers to the value calculated by the last liquid level error ys, the current liquid level error yd and the time interval △jg. Set dy / dt=(ys-yd) / △t, the last liquid level error refers to the liquid level error calculated last time, the current liquid level error refers to the liquid level error calculated currently, the time interval refers to the time interval from the last liquid level error calculation to the current liquid level error calculation, the preset maximum signal value refers to the maximum preset value for judging the control signal strength, the preset minimum signal value refers to the minimum preset value for judging the control signal strength, and the control signal strength The condition refers to the strength of the control signal judged according to the total control signal value and the preset maximum signal value and the preset minimum signal value. The control signal strength condition includes the control signal strength condition of low intensity, the control signal strength condition of medium intensity and the control signal strength condition of high intensity. The total number of air cavities refers to the number of multiple air cavities built into the hollow valve in the intelligent hollow anti-stuck dual-sensing point float liquid level device. The valve coefficient refers to the coefficient used to calculate the control signal value ui of each valve opening. This embodiment does not limit the specific numerical value of the valve coefficient. Those skilled in the art can set it according to actual needs. For example, the specific numerical value of the valve coefficient can be set according to the model of the hollow valve. The τ is the calculation order of the liquid level error, and τ is a positive integer.

[0113] Specifically, when the intelligent control module adjusts the time of the control of the hollow valve, the time Tz of the float liquid level device reaching the optimal hollow volume in the float data is compared with the preset time Tz0 of the float liquid level device reaching the optimal hollow volume, 5min≤Tz0≤7min, and the time situation is judged according to the comparison result, and the time of the open air cavity number N is adjusted according to the judgment situation, wherein:

[0114] When Tz≤Tz0, the intelligent control module determines that the time situation is short and does not adjust the time of the number of open air cavities N;

[0115] When Tz>Tz0, the intelligent control module determines that the time situation is long, and adjusts the time of the number of open air cavities N. The time adjustment coefficient St=(Tz-Tz0) / Tz0 is used to adjust the time of the number of open air cavities N to obtain the adjusted number of open air cavities N`, set N`=St×N`, replace the number of open air cavities N with the adjusted number of open air cavities N`, and recalculate the opening control signal value ui of each valve according to the adjusted number of open air cavities N`.

[0116] Specifically, the time for the float liquid level device to reach the optimal hollow volume refers to the time required for the float liquid level device to go from the initial state to the time when the float liquid level device is inflated to reach the optimal hollow volume. The preset time for the float liquid level device to reach the optimal hollow volume refers to the preset value for judging the result against the time situation. The time situation refers to the length of time judged based on the time for the float liquid level device to reach the optimal hollow volume and the preset time for the float liquid level device to reach the optimal hollow volume. The time situation includes a short time situation and a long time situation.

[0117] Specifically, the intelligent control module adjusts the number of open air cavities by judging the time situation. When the time situation is long, the number of open air cavities is increased to shorten the time to reach the optimal hollow volume, thereby increasing the inflation speed of the float liquid level device and further improving the inflation response efficiency.

[0118] Specifically, when the intelligent control module performs viscosity correction on the time adjustment process, it compares the viscosity of the medium to be measured Jn in the float data with the preset viscosity of the medium to be measured Jn0, 0.1Pa·s≤Jn0≤1Pa·s, and judges the viscosity of the medium to be measured based on the comparison result, and performs viscosity correction on the time adjustment process based on the judgment result, wherein:

[0119] When Jn≤Jn0, the intelligent control module determines that the viscosity of the medium to be measured is low, and does not perform viscosity correction on the time adjustment process;

[0120] When Jn>Jn0, the intelligent control module determines that the viscosity of the medium to be measured is high, and performs viscosity correction on the time adjustment process, using the viscosity correction coefficient α=1.42-0.3×e -0.7×(Jn-Jn0) , perform viscosity correction on the preset time Tz0 for the float liquid level device to reach the optimal hollow volume, and obtain the corrected time Tz0' for the preset float liquid level device to reach the optimal hollow volume, set Tz0'=Tz0×α, replace the preset time Tz0 for the float liquid level device to reach the optimal hollow volume with the corrected time Tz0' for the preset float liquid level device to reach the optimal hollow volume, and re-compare the time Tz for the float liquid level device to reach the optimal hollow volume with the corrected time Tz0' for the preset float liquid level device to reach the optimal hollow volume.

[0121] Specifically, the viscosity of the medium to be measured refers to the viscosity of the medium to be measured, the preset viscosity of the medium to be measured refers to a preset value for judging the viscosity of the medium to be measured, the viscosity condition of the medium to be measured refers to the viscosity of the medium to be measured judged based on the viscosity of the medium to be measured and the preset viscosity of the medium to be measured, and the viscosity condition of the medium to be measured includes the viscosity condition of the medium to be measured being low viscosity and the viscosity condition of the medium to be measured being high viscosity.

[0122] Specifically, the intelligent control module makes viscosity correction for the time it takes for the preset float liquid level device to reach the optimal hollow volume by judging the viscosity of the medium to be measured. When the viscosity of the medium to be measured is high, the high viscosity of the medium to be measured will affect the inflation and expansion of the float part of the float liquid level device, thereby increasing the time required for inflation and expansion. By increasing the time it takes for the preset float liquid level device to reach the optimal hollow volume, the influence of viscosity on the time situation judgment is reduced, the accuracy of the time situation judgment is improved, and the inflation response efficiency is thereby improved.

[0123] Specifically, when the intelligent control module performs temperature correction on the time-adjusted viscosity correction process, it compares the measured temperature Wc in the float data with the preset maximum measured temperature Wcmax and the preset minimum measured temperature Wcmin, 23°C = Wcmin, Wcmax = 27°C, and judges the medium temperature based on the comparison result. Based on the judgment result, the temperature correction is performed on the time-adjusted viscosity correction process, wherein:

[0124] When Wc≤Wcmin, the intelligent control module determines that the medium temperature is low, performs temperature correction on the time-adjusted viscosity correction process, and performs temperature correction on the preset viscosity of the medium to be measured Jn0 by the first temperature correction coefficient wx1=1+(Wcmin-Wc) / Wcmin to obtain the first corrected preset viscosity of the medium to be measured Jn01, sets Jn01=wx1×Jn0, replaces the preset viscosity of the medium to be measured Jn0 with the first corrected preset viscosity of the medium to be measured Jn01, and re-compares the viscosity of the medium to be measured Jn with the first corrected preset viscosity of the medium to be measured Jn01;

[0125] When Wcmin<Wc≤Wcmax, the intelligent control module determines that the medium temperature is medium and does not perform temperature correction on the viscosity correction process of time adjustment;

[0126] When Wc>Wcmax, the intelligent control module determines that the medium temperature is high, performs temperature correction on the time-adjusted viscosity correction process, and performs temperature correction on the preset viscosity of the medium to be tested Jn0 through the second temperature correction coefficient wx2=1-(Wc-Wcmax) / Wcmax to obtain the second corrected preset viscosity of the medium to be tested Jn02. Set Jn02=wx2×Jn0, replace the preset viscosity of the medium to be tested Jn0 with the second corrected preset viscosity of the medium to be tested Jn02, and re-compare the viscosity of the medium to be tested Jn with the second corrected preset viscosity of the medium to be tested Jn02.

[0127] Specifically, the measured temperature refers to the temperature of the medium to be measured during measurement, the preset maximum measured temperature refers to the maximum preset value for judging the medium temperature condition, the preset minimum measured temperature refers to the minimum preset value for judging the medium temperature condition, and the medium temperature condition refers to the temperature of the medium to be measured when measured based on the measured temperature and the preset maximum measured temperature and the preset minimum measured temperature. The medium temperature condition includes a high medium temperature condition, a low medium temperature condition, and a medium temperature condition.

[0128] Specifically, the alarm module monitors the real-time liquid level of the medium, obtains the monitoring results, and issues an alarm based on the monitoring results. It compares the real-time liquid level Hjs of the medium with the highest liquid point Hmax and the lowest liquid point Hmin, judges the liquid level of the medium based on the comparison results, and issues an alarm based on the judgment results, wherein:

[0129] When Hjs≤Hmin, the alarm module determines that the medium liquid level is too low and issues a low alarm;

[0130] When Hmin<Hjs<Hmax, the alarm module determines that the medium liquid level is moderate and does not issue an alarm;

[0131] When Hjs≥Hmax, the alarm module determines that the medium liquid level is too high and issues an alarm.

[0132] Specifically, the real-time liquid level of the medium refers to the real-time liquid level height of the medium to be measured, and the medium liquid level condition refers to the medium liquid level height judged based on the real-time liquid level of the medium and the highest liquid point Hmax and the lowest liquid point Hmin. The medium liquid level condition includes the medium liquid level condition being too low, the medium liquid level condition being moderate, and the medium liquid level condition being too high. The too-low alarm means that when the medium liquid level condition is too low, the float liquid level device emits a low-frequency buzzing sound. The alarm means that the float liquid level device issues an alarm reminder to the staff based on the judgment result of the medium liquid level condition. The alarm includes an over-high alarm and an over-low alarm. The over-high alarm means that when the medium liquid level condition is too high, the float liquid level device emits a high-frequency buzzing sound.

[0133] Specifically, the alarm module issues an alarm by determining the medium liquid level to remind the staff to replenish the medium or stop adding the medium, thereby facilitating the staff to manage the medium reserve.

[0134] Specifically, when the alarm module optimizes the liquid point, it calculates the alarm time interval △tj according to the j-th over-high alarm time tj and the j+1-th over-high alarm time tj+1 in the float data, sets △tj=t2-t1, and calculates the average time interval according to the alarm time interval △tj and the total number of alarms Bz. Calculate and set The alarm time interval △tj and the average time interval Perform a comparison, and judge the frequent alarm situation based on the comparison results, and optimize the liquid point location based on the judgment results, including:

[0135] when When the alarm module determines that the alarm is frequent, the alarm is not frequent, and does not optimize the liquid point location;

[0136] when When the alarm module determines that the alarm is frequent, the liquid point is optimized, and the point optimization coefficient is used. The highest liquid point Hmax is optimized to obtain the optimized highest liquid point Hmax`, and Hmax`=zy×Hmax is set, and the highest liquid point Hmax is replaced by the optimized highest liquid point Hmax`.

[0137] Specifically, the jth excessive alarm time refers to the real-time time of the jth excessive alarm within 24 hours, the j+1th excessive alarm time refers to the real-time time of the j+1th excessive alarm within 24 hours, the total number of alarms refers to the total number of excessive alarms within 24 hours, and the alarm frequency situation refers to whether the excessive alarm time judged by the alarm time interval and the average time interval is a frequent alarm situation, and the alarm frequency situation includes the alarm frequency situation of frequent alarms and the alarm frequency situation of infrequent alarms.

[0138] Specifically, the alarm module judges the frequency of alarms and optimizes the liquid point according to the judgment results to improve the monitoring sensitivity. Since the frequent alarms may be due to repeated use and addition of new media, when the frequent alarms are frequent, the highest liquid point is increased to reduce the frequency of alarms, so as to solve the frequent alarms caused by repeated use and addition of new media, improve alarm accuracy and reduce false alarms.

[0139] Specifically, when the alarm module performs alarm calibration on the point optimization process of the liquid point, the liquid level fluctuation difference △HB is compared with the preset fluctuation difference △H0, and the fluctuation difference is judged according to the comparison result. The alarm calibration of the point optimization process of the liquid point is performed according to the judgment result, wherein:

[0140] When △HB≤△H0, the alarm module determines that the fluctuation difference is small and does not perform alarm correction on the point optimization process of the liquid point;

[0141] When △HB>△H0, the alarm module determines that the fluctuation difference is large, and performs alarm correction on the point optimization process of the liquid point. The average time interval △t is alarm-corrected through the alarm correction coefficient bj=1-△H0 / △HB to obtain the corrected average time interval △t`, set △t`=△t×(1-bj), replace the average time interval △t with the corrected average time interval △t`, and re-compare the alarm time interval △tj with the corrected average time interval △t`.

[0142] Specifically, the alarm module performs alarm calibration on the point optimization process of the liquid point through the judgment of the fluctuation difference. Since excessive fluctuation difference of the medium liquid level will lead to frequent alarms, and the alarm is inaccurate, it will affect the judgment of frequent alarms. By reducing the average time interval, the impact of excessive fluctuation difference of the medium liquid level on the judgment of frequent alarms is reduced, thereby improving the accuracy of alarms and point optimization of the highest liquid point, and achieving the purpose of high-precision monitoring.

[0143] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

Claims

1. An intelligent hollow anti-stuck dual-sensing point float liquid level device, characterized in that: include: a fixing nut, which is threadedly connected to the fixing rod; a fixing rod threadably connected to the fixing nut; a buckle connected to the bottom of the fixing rod; An induction magnetic ring, which is arranged on the magnetic ring housing; A float upper cover connected to a float lower cover; A float lower cover connected to a float upper cover; a nut flange, which is arranged between the fixing nut and the fixing rod; A maximum liquid point, which is set on the fixed rod; A minimum liquid level point, which is set on the fixed rod; A buckle fixing groove is provided at the bottom of the fixing rod; The magnetic ring housing is connected to the float cover; A buckle, which is provided on the magnetic ring housing; Hollow valve, set under the float cover; a float ball connected to the fixed rod; A control system is connected with the highest liquid point, the lowest liquid point and the hollow valve.

2. A control system applied to an intelligent hollow anti-stuck dual-sensing point float liquid level device as claimed in claim 1, characterized in that: The control system includes: Data acquisition module, used to acquire float data; Hollow optimization module, used to set the liquid point according to the float data, and also used to adjust the liquid point; The intelligent control module is used to control the hollow valve according to the float data and the liquid point, to adjust the time of the control of the hollow valve, to make viscosity correction for the time adjustment process, and to make temperature correction for the viscosity correction process of the time adjustment; the alarm module is used to monitor the real-time liquid level of the medium, obtain the monitoring results, and issue an alarm based on the monitoring results, to optimize the liquid point, and to perform alarm calibration for the liquid point optimization process.

3. The control system of the intelligent hollow anti-stuck dual-sensing point float liquid level device according to claim 2 is characterized in that: When the hollow optimization module sets the liquid point according to the float data, it calculates the optimal hollow volume Vz according to the float material density ρ1, float mass m and the density of the medium to be measured ρ2 in the float data, and sets And calculate the float diameter D according to the float material density ρ1, float mass m and optimal hollow volume in the float data, and get the float diameter D, set π is the ratio of a circle to a circle. The highest liquid point Hmax is set according to the float diameter D and the safety distance h. The highest liquid point Hmax is obtained and set to Hmax≤D+h. The lowest liquid point Hmin is also set according to the float diameter D and the minimum sensing distance △h. The lowest liquid point Hmin is obtained and set to Hmin≥D / 2+△h.

4. The control system of the intelligent hollow anti-stuck dual-sensing point float liquid level device according to claim 3 is characterized in that: When the hollow optimization module adjusts the liquid point, the liquid level fluctuation difference △HB is calculated based on the maximum value H1 of the medium liquid level within the fluctuation period Tb and the minimum value H2 of the medium liquid level within the fluctuation period Tb in the float data, and HB is set to H1-H2, 10min≤Tb≤30min, and the liquid level fluctuation difference △HB is compared with the preset fluctuation difference △H0, 0.5m≤△H0≤0.7m. The fluctuation difference is judged according to the comparison result, and the lowest liquid point is adjusted according to the judgment result, wherein: When △HB≤△H0, the hollow optimization module determines that the fluctuation difference is small and does not adjust the lowest liquid point; When △HB>△H0, the hollow optimization module determines that the fluctuation difference is large, adjusts the minimum liquid point, and adjusts the minimum liquid point Hmin according to the liquid level adjustment coefficient γ, 0.85≤γ≤0.95, obtains the adjusted minimum liquid point Hmint, sets Hmint=Hmin×γ, and replaces the minimum liquid point Hmin with the adjusted minimum liquid point Hmint.

5. The control system of the intelligent hollow anti-stuck dual-sensing point float liquid level device according to claim 4 is characterized in that: When the intelligent control module controls the hollow valve according to the float data and the liquid point, the hollow valve is controlled by a valve control method, which includes: Step S1, calculating the liquid level error y according to the initial liquid level Hc and the liquid point Hs, obtaining the liquid level error y, and setting y=Hc-Hs; Step S2, calculating the proportional control component P according to the liquid level error y, obtaining the proportional control component P, and setting P = Kp × y, where Kp is the proportional coefficient, 0.1≤Kp≤100; Step S3, calculate the integral control component Q according to the liquid level error y, obtain the integral control component Q, and set Where Ki is the integral coefficient, t is the time, 0.01≤Ki≤10; Step S4: Calculate the differential control component W according to the rate of change of the liquid level error dy / dt, obtain the differential control component W, and set Kd is the differential coefficient, 0≤Kd≤10; Step S5, calculating the total control signal value u according to the proportional control component P, the integral control component I and the differential control component W to obtain the total control signal value u, and setting u=P+I+W; Step S6: Compare the total control signal value u with the preset maximum signal value umax and the preset minimum signal value umin, 30=umin, umax=70, and judge the control signal strength according to the comparison result. Output the number of open air cavities N according to the judgment result, where: When u≤umin, the intelligent control module determines that the control signal strength is low, calculates the first open air cavity number N1 according to the total number of air cavities n and the total control signal value, obtains the first open air cavity number N1, sets N1=n×u / umin, and outputs the first open air cavity number N1 as the open air cavity number N; When umin<u≤umax, the intelligent control module determines that the control signal strength is medium, calculates the second open air cavity number N2 according to the total number of air cavities n and the total control signal value, obtains the second open air cavity number N2, sets N2=2×n×u / umax, and outputs the second open air cavity number N2 as the open air cavity number N; When u>umax, the intelligent control module determines that the control signal strength is high, calculates the third open air cavity number N3 according to the total number of air cavities n and the total control signal value, obtains the third open air cavity number N3, sets N3=n / 2+n×(u-umax) / umax, and outputs the third open air cavity number N3 as the open air cavity number N; Step S7, calculate the valve opening control signal value ui according to the total control signal value u and the number of open air cavities N, obtain the valve opening control signal value ui, set ui = u / N×K, K is the valve coefficient, and control the hollow valve according to each valve opening control signal value ui and the number of open air cavities N.

6. The control system of the intelligent hollow anti-stuck dual-sensing point float liquid level device according to claim 5 is characterized in that: When the intelligent control module adjusts the time of the control of the hollow valve, the time Tz of the float liquid level device reaching the optimal hollow volume in the float data is compared with the preset time Tz0 of the float liquid level device reaching the optimal hollow volume, 5min≤Tz0≤7min, and the time situation is judged according to the comparison result, and the time of the open air cavity number N is adjusted according to the judgment situation, wherein: When Tz≤Tz0, the intelligent control module determines that the time situation is short and does not adjust the time of the number of open air cavities N; When Tz>Tz0, the intelligent control module determines that the time situation is long, and adjusts the time of the number of open air cavities N. The time adjustment coefficient St=(Tz-Tz0) / Tz0 is used to adjust the time of the number of open air cavities N to obtain the adjusted number of open air cavities N`, set N`=St×N`, replace the number of open air cavities N with the adjusted number of open air cavities N`, and recalculate the opening control signal value ui of each valve according to the adjusted number of open air cavities N`.

7. The control system of the intelligent hollow anti-stuck dual-sensing point float liquid level device according to claim 6 is characterized in that: When the intelligent control module performs viscosity correction on the time adjustment process, the viscosity Jn of the medium to be measured in the float data is compared with the preset viscosity Jn0 of the medium to be measured, 0.1 Pa·s≤Jn0≤1Pa·s, and the viscosity of the medium to be measured is judged according to the comparison result, and the viscosity correction is performed on the time adjustment process according to the judgment result, wherein: When Jn≤Jn0, the intelligent control module determines that the viscosity of the medium to be measured is low, and does not perform viscosity correction on the time adjustment process; When Jn>Jn0, the intelligent control module determines that the viscosity of the medium to be measured is high, and performs viscosity correction on the time adjustment process. The viscosity correction coefficient α=1.42-0.3×e-0.7×(Jn-Jn0) is used to perform viscosity correction on the preset time Tz0 for the float liquid level device to reach the optimal hollow volume, and obtain the corrected time Tz0` for the preset time Tz0` for the float liquid level device to reach the optimal hollow volume. Tz0`=Tz0×α is set, and the preset time Tz0 for the float liquid level device to reach the optimal hollow volume is replaced with the corrected time Tz0` for the preset time Tz0` for the float liquid level device to reach the optimal hollow volume. The time Tz for the float liquid level device to reach the optimal hollow volume is re-compared with the corrected time Tz0` for the preset time Tz0` for the float liquid level device to reach the optimal hollow volume.

8. The control system of the intelligent hollow anti-stuck dual-sensing point float liquid level device according to claim 7 is characterized in that: When the intelligent control module performs temperature correction on the time-adjusted viscosity correction process, the measured temperature Wc in the float data is compared with the preset maximum measured temperature Wcmax and the preset minimum measured temperature Wcmin, 23°C = Wcmin, Wcmax = 27°C, and the medium temperature is judged based on the comparison result. The temperature correction is then performed on the time-adjusted viscosity correction process based on the judgment result, wherein: When Wc≤Wcmin, the intelligent control module determines that the medium temperature is low, performs temperature correction on the time-adjusted viscosity correction process, and performs temperature correction on the preset viscosity of the medium to be measured Jn0 by the first temperature correction coefficient wx1=1+(Wcmin-Wc) / Wcmin to obtain the first corrected preset viscosity of the medium to be measured Jn01, sets Jn01=wx1×Jn0, replaces the preset viscosity of the medium to be measured Jn0 with the first corrected preset viscosity of the medium to be measured Jn01, and re-compares the viscosity of the medium to be measured Jn with the first corrected preset viscosity of the medium to be measured Jn01; When Wcmin<Wc≤Wcmax, the intelligent control module determines that the medium temperature is medium and does not perform temperature correction on the viscosity correction process of time adjustment; When Wc>Wcmax, the intelligent control module determines that the medium temperature is high, performs temperature correction on the time-adjusted viscosity correction process, and performs temperature correction on the preset viscosity of the medium to be tested Jn0 through the second temperature correction coefficient wx2=1-(Wc-Wcmax) / Wcmax to obtain the second corrected preset viscosity of the medium to be tested Jn02. Set Jn02=wx2×Jn0, replace the preset viscosity of the medium to be tested Jn0 with the second corrected preset viscosity of the medium to be tested Jn02, and re-compare the viscosity of the medium to be tested Jn with the second corrected preset viscosity of the medium to be tested Jn02.

9. The control system of the intelligent hollow anti-stuck dual-sensing point float liquid level device according to claim 8 is characterized in that: The alarm module monitors the real-time liquid level of the medium, obtains the monitoring results, and issues an alarm based on the monitoring results. The real-time liquid level Hjs of the medium is compared with the highest liquid point Hmax and the lowest liquid point Hmin, and the medium liquid level is judged based on the comparison results, and an alarm is issued based on the judgment results, wherein: When Hjs≤Hmin, the alarm module determines that the medium liquid level is too low and issues a low alarm; When Hmin<Hjs<Hmax, the alarm module determines that the medium liquid level is moderate and does not issue an alarm; When Hjs≥Hmax, the alarm module determines that the medium liquid level is too high and issues an alarm.

10. The control system of the intelligent hollow anti-stuck dual-sensing point float liquid level device according to claim 9 is characterized in that: When the alarm module optimizes the liquid point, it calculates the alarm time interval △tj according to the j-th over-high alarm time tj and the j+1-th over-high alarm time tj+1 in the float data, sets △tj=t2-t1, and calculates the average time interval △t according to the alarm time interval △tj and the total number of alarms Bz, and sets The alarm time interval △tj and the average time interval Perform a comparison, and judge the frequent alarm situation based on the comparison results, and optimize the liquid point location based on the judgment results, including: when When the alarm module determines that the alarm is frequent, the alarm is not frequent, and does not optimize the liquid point location; when When the alarm module determines that the alarm is frequent, the liquid point is optimized, and the point optimization coefficient is used. The highest liquid point Hmax is optimized to obtain the optimized highest liquid point Hmax`, and Hmax`=zy×Hmax is set, and the highest liquid point Hmax is replaced by the optimized highest liquid point Hmax`.

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