Construction waste mud intelligent dosing conditioning method and system thereof

Abstract

The application discloses a kind of construction waste mud intelligent dosing conditioning method and system, and intelligent dosing conditioning method includes the following steps: S1, the volume of waste mud is preset value V is transported to mud conditioning barrel, is stirred uniformly, obtains the representative red channel value a of mud, determines the mass percentage concentration w of mud;S2, according to the red channel value-predetermined fitting sludge specific resistance standard curve I, determine the representative red channel value a corresponding sludge specific resistance SRF, calculate predicted sludge specific resistance PSRF;S3, according to predicted sludge specific resistance PSRF is dosed and is handled;S4, after dosing is completed, continue to stir and then stand, complete conditioning;S5, after conditioning mud is transported to filter press and is dehydrated, after transportation is completed, return to step S1, and the next cycle processing is carried out.The application can realize the mud of different predicted sludge specific resistance Match appropriate dosing conditioning mode, improve mud dewatering efficiency, save reagent addition cost.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of construction waste mud disposal, in particular to a construction waste mud intelligent dosing conditioning method and system. BACKGROUND

[0002] A large amount of waste mud is generated in the process of foundation drilling, diaphragm wall excavation, shield tunneling and other construction processes, which needs to be disposed by mechanical pressure filtration dewatering process. Due to the small particle size and high water content of waste mud, it presents a stable colloidal dispersion system, which is difficult to settle naturally and has high dewatering resistance. In order to reduce the dewatering resistance and improve the efficiency of mud dewatering and solidification disposal, a conditioning agent is often added before mechanical pressure disposal to make the mud colloidal particles unstable and quickly dewater.

[0003] There are many types of commonly used mud conditioning agents, including organic flocculants such as polyacrylamide (PAM), polydiallyldimethylammonium chloride (PDDA), modified chitosan, inorganic flocculants such as polyaluminum chloride (PAC), polyferric chloride (PFC), alum, and other agents such as quicklime, cement, fly ash, etc. The mechanisms of various agents in the mud conditioning process are different. Flocculants mainly play the functions of electric neutralization and net capture adsorption to make small particles aggregate; fly ash, cement and other agents mainly play the role of skeleton construction; quicklime relies on its strong alkalinity and exothermic property when it comes into contact with water to destroy organic matter, making the mud quickly settle. For mud with small dewatering resistance, a small amount of organic flocculant can achieve rapid dewatering; but for mud with large dewatering resistance, the amount of organic flocculant needs to be increased, and other agents such as inorganic flocculants and filter aids need to be compounded to achieve rapid dewatering.

[0004] It is worth noting that due to the difference in the excavated strata during construction, it has a significant impact on the properties of construction waste mud, which also leads to a large difference in the dewatering resistance of waste mud generated from different strata. The dosing and conditioning process needs to be improved according to the properties of the mud to ensure that the subsequent pressure filtration dewatering process achieves the expected dewatering effect. The existing mud conditioning and dosing equipment only has the functions of automatic dissolving and injecting agents, and the amount and type of agents are often determined by experimental results, and the agent formula is single, which cannot meet the needs of mud conditioning with varying properties. The addition of agents is manually controlled by workers based on their experience. Considering the differences in workers' experience and the limitations of manual operation, the accuracy, stability and adaptability of this dosing mode are difficult to guarantee. Developing an intelligent mud conditioning equipment according to the properties of the mud to be treated plays an important role in improving the efficiency of mud disposal.

[0005] The key to realize intelligent dosing is to quickly obtain the dehydration resistance of different mud, so as to make feedback adjustment in the dosing link. The indexes describing the dehydration resistance of mud are commonly seen in sludge specific resistance (SRF) and capillary suction time (CST), and the two indexes need to rely on special experimental instruments such as sludge specific resistance tester and capillary suction time tester to be determined in the laboratory, and the testing process is time-consuming and labor-consuming, and real-time feedback data cannot be obtained, which limits the realization of intelligent dosing conditioning of waste mud. However, according to the accumulated experience of mud disposal on the construction site, the dehydration resistance of mud of different colors is quite different, the yellow-brown mud has single composition and small dehydration resistance, and the black-gray waste mud usually has high organic matter content and large dehydration resistance.

[0006] Therefore, it is necessary to develop a construction waste mud intelligent dosing conditioning method and system, which combines image recognition technology to quickly predict the dehydration resistance of mud, matches suitable dosing conditioning mode for mud with different dehydration resistance, and improves the dehydration efficiency of mud. SUMMARY

[0007] The purpose of the present application is to solve the problems in the prior art, and provide a construction waste mud intelligent dosing conditioning method and system, which combines image recognition technology to quickly predict the dehydration resistance of mud, matches suitable dosing conditioning mode for mud with different dehydration resistance, and improves the dehydration efficiency of mud.

[0008] The technical scheme of the present application is as follows: a construction waste mud intelligent dosing conditioning method, characterized in that it comprises the following steps:

[0009] S1, conveying waste mud with a volume of a preset value V into a mud conditioning barrel, stirring uniformly, taking a photo of the mud in the mud conditioning barrel, and performing image processing to obtain a representative red channel value a of the mud, and determining the mass percentage concentration w of the mud;

[0010] S2, determining the sludge specific resistance SRF corresponding to the representative red channel value a according to a pre-fitted red channel value-sludge specific resistance standard curve I, and calculating the predicted sludge specific resistance PSRF according to the following formula,

[0011] PSRF = SRF × (0.85 + w)

[0012] wherein SRF is the sludge specific resistance, the unit is cm / g,

[0013] PSRF is the predicted sludge specific resistance, the unit is cm / g,

[0014] w is the mass percentage concentration of the mud;

[0015] S3, performing dosing treatment according to the predicted sludge specific resistance PSRF obtained in S2, and keeping stirring during the dosing process, wherein the first sludge specific resistance limit value is a and 6 × 10 cm / g ≤ a ≤ 8×10 10 cm / g, the preset second sludge specific resistance limit value is b and 3×10 11 cm / g ≤ b ≤ 5×10 11 cm / g,

[0016] i) When PSRF < a, only add PAM solution,

[0017] ii) When a ≤ PSRF ≤ b, first add PAC solution, with an interval of 30 - 60 s, and then add PAM solution,

[0018] iii) When PSRF > b, first add PAC solution, with an interval of 30 - 60 s, then add PAM solution, with an interval of 30 - 60 s, and finally add quicklime;

[0019] S4. After adding the medicine, continue to stir for 3 - 5 min and then let it stand to complete the conditioning;

[0020] S5. Transport the conditioned slurry to a filter press for pressure filtration and dehydration. After the transportation is completed, return to step S1 for the next cycle of treatment.

[0021] Preferably, in step S1, to obtain the representative red channel value a, the specific operations include:

[0022] Obtain one high - definition photo of the slurry every 5 - 20 seconds under a stable light source, a total of 5 - 10 photos are obtained. Extract 25 - 100 pixel points distributed in an array from each photo, extract the red channel values of all the obtained pixel points, and calculate the average value to obtain the representative red channel value a.

[0023] Preferably, in step S2, the fitting method of the red channel value - sludge specific resistance standard curve I includes:

[0024] Pre - obtain the slurry at different depths in the construction area as samples, obtain the red channel R values of the images of each sample and detect the sludge specific resistance values of each sample. Arrange the red channel R values of all samples in ascending order and fit them into a curve in combination with the corresponding sludge specific resistance values. When the curve correlation coefficient r satisfies 0.75 ≤ r 2 ≤ 1.0, determine this curve as the red channel value - sludge specific resistance standard curve I.

[0025] Further, the R value of the sample satisfies 60 ≤ R ≤ 200, and when the R values of all samples are arranged in ascending order, the difference ΔR between the R values of two adjacent samples satisfies 5 ≤ |ΔR| ≤ 35.

[0026] Preferably, in step S5, during the feeding process of the filter press, the feeding flow rate v of the filter press is monitored in real - time. If it is lower than the set value, an alarm is issued to prompt the operator to check the equipment. [[ID=

[0027] Preferably, case i) of step S3 is:

[0028] i) when PSRF < a, only add PAM solution with concentration of 0.2-0.5wt%, volume of V1, V1 is calculated as follows,

[0029] V1 = w / 0.15 x 20 x V

[0030] wherein V is the preset value of the volume of the slurry, in m 3 ,

[0031] w is the mass percentage concentration of the slurry,

[0032] V1 is the volume of the PAM solution, in L.

[0033] 6. The method according to claim 5, wherein case ii) of step S3 is:

[0034] ii) when a ≤ PSRF ≤ b, first add PAC solution with concentration of 10-20wt%, volume of V2, and then add PAM solution with the same concentration and volume as in i) after an interval of 30-60s, V2 is calculated as follows,

[0035] V2 = w / 0.15 x 60 x V

[0036] wherein V is the preset value of the volume of the slurry, in m 3 ,

[0037] w is the mass percentage concentration of the slurry,

[0038] V2 is the volume of the PAC solution, in L.

[0039] Further, case iii) of step S3 is:

[0040] iii) when PSRF > b, first add PAC solution with the same concentration and volume as in ii) after an interval of 30-60s, then add PAM solution with the same concentration and volume as in ii) after an interval of 30-60s, and finally add quicklime with mass m3, m3 is calculated as follows,

[0041] m3 = w / 0.15 x V

[0042] wherein V is the preset value of the volume of the slurry, in m 3 ,

[0043] w is the mass percentage concentration of the slurry,

[0044] m3 is the mass of the quicklime, in kg.

[0045] The application further provides a construction waste mud intelligent dosing conditioning system, characterized by comprising: a mixing conditioning unit, a mud property sensing unit, an automatic dosing unit, a control unit,

[0046] The mixing conditioning unit comprises a mud conditioning barrel, wherein the top of the mud conditioning barrel is provided with an inlet pipe, and the inside of the mud conditioning barrel is provided with a stirrer;

[0047] The mud property sensing unit comprises an image recognition sensor, a mud concentration sensor and an ultrasonic ranging sensor, wherein the image recognition sensor is arranged on the mud conditioning barrel for taking pictures of the mud, the mud concentration sensor is arranged on the mud conditioning barrel for detecting the mud concentration, and the ultrasonic ranging sensor is arranged directly above the mud conditioning barrel for monitoring the change of the mud liquid level;

[0048] The automatic dosing unit comprises a powder dosing device, an organic flocculant dosing device and an inorganic flocculant dosing device, and the powder dosing device, the organic flocculant dosing device and the inorganic flocculant dosing device are all in communication with the mud conditioning barrel;

[0049] The control unit is in signal connection with the mixing conditioning unit, the mud property sensing unit and the automatic dosing unit.

[0050] Preferably, the bottom of the mud conditioning barrel is provided with a feed pipe leading to a filter press, and a feed pump is arranged on the feed pipe.

[0051] Preferably, the image recognition sensor comprises a cylindrical shell, a wear-resistant transparent lens arranged at the front end of the shell and a camera arranged at the rear end of the shell, an annular light source is arranged around the camera in the inside of the shell, an image data storage and processor is arranged behind the camera, and a mounting hole is arranged on the barrel wall of the mud conditioning barrel, and the front end of the shell is in sealing connection with the mounting hole.

[0052] The application has the following beneficial effects:

[0053] (1) Based on the image recognition and the mud concentration monitoring result, the sludge specific resistance of the mud is quickly predicted, and the subsequent dosing conditioning process is guided in combination with the mud concentration, the mud volume and other parameters, so as to cope with the change of the mud properties of different mud formations, improve the mud conditioning effect and improve the mud dewatering and solidification disposal efficiency;

[0054] (2) The dosing method of the conditioning agent for muds with different properties is established, the automatic control is relied on the program control, the randomness and errors of the artificial dosing of the agent are avoided, and the sudden change of the mud properties caused by the change of the formation mud can be coped with;

[0055] (3) The mud dosing process is realized in an unattended manner, the mud produced in various mud formations can be coped with, the water content of the mud cake is less than 35%, the mud disposal efficiency is improved, the cost of the added agent is low, and the application effect is remarkable. BRIEF DESCRIPTION OF DRAWINGS

[0056] Figure 1 Structure diagram of the construction waste mud intelligent dosing conditioning system

[0057] Figure 2 Structure diagram of the image recognition sensor

[0058] Figure 3 Fitted red channel value-sludge specific resistance standard curve I

[0059] Wherein: 1-inlet pipe, 2-ultrasonic ranging sensor, 3-image recognition sensor, 4-mud concentration sensor, 5-central processing unit, 6-mud conditioning barrel, 7-mixer, 8-powder dosing device, 9-organic flocculant dosing device, 10-inorganic flocculant dosing device, 11-conveying pump, 12-filter press, 13-dehydrated mud cake, 14-tail water, 15-wear-resistant transparent lens, 16-annular light source, 17-camera, 18-image data storage and processor 19-conveying pipe 30-housing. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical scheme and advantages of the present application clearer, the following examples are used to further illustrate the present application. It should be understood that the specific examples described herein are only used to explain the present application, and are not used to limit the present application. The drugs used in the examples are all commercially available products, and the methods used are all conventional methods in the art.

[0061] The construction mud treated by the present application is from a bridge pile foundation with a pile diameter of 2.8 m and a pile length of 105 m. The strata through which the construction passes from top to bottom are miscellaneous fill layer, silty clay layer, silt layer and silted silty clay layer. As the drilling depth increases, the properties of the waste mud change greatly. The mud in the miscellaneous fill layer and silt layer is yellow-brown, has small dewatering resistance and is easy to dewater by pressure filtration; while the mud in the silted silty clay layer is black-gray, has large dewatering resistance and is difficult to dewater by pressure filtration. The construction waste mud intelligent dosing conditioning system of the present application is installed at the construction site, and is used in combination with a plate and frame filter press to dispose of the mud dewatering and solidification.

[0062] As shown in Figure 1 The construction waste mud intelligent dosing conditioning system of the present application includes a mixture conditioning unit, a mud property sensing unit, an automatic dosing unit and a control unit.

[0063] The specific structure of the mixture conditioning unit includes a mud conditioning barrel 6, the top of which is provided with an inlet pipe 1, and the inside of which is provided with a mixer 7. The bottom of the mud conditioning barrel 6 is provided with a conveying pipe 19 leading to a filter press 12, and the conveying pipe 19 is provided with a conveying pump 11.

[0064] The mud property sensing unit specifically includes: an image recognition sensor 3, a mud concentration sensor 4, and an ultrasonic ranging sensor 2. The image recognition sensor 3 is mounted on the mud conditioning tank 6 for photographing the mud. The mud concentration sensor 4 is mounted on the mud conditioning tank 6 for detecting the mud concentration. The ultrasonic ranging sensor 2 is positioned directly above the mud conditioning tank 6 for monitoring changes in the liquid level. In this embodiment, as shown... Figure 2 As shown, the image recognition sensor 3 includes a cylindrical housing 30 and a sensor disposed at the front end of the housing 30. Figure 2 The wear-resistant transparent lens 15 at the lower end is located at the rear end of the housing 30. Figure 2 The upper part has a camera 17, and the housing 30 has a ring light source 16 around the camera 17. The image data storage and processor 18 is located behind the camera 17. The mud preparation tank 6 has a mounting hole on its wall. The front end of the housing 30 is sealed to the mounting hole, so that the image recognition sensor 3 has the function of taking pictures of the mud in the mud preparation tank 6.

[0065] The automatic dosing unit specifically includes: a powder dosing device 8, an organic flocculant dosing device 9, and an inorganic flocculant dosing device 10. The powder dosing device 8 contains quicklime, the organic flocculant dosing device 9 contains polyacrylamide (PAM) solution, and the inorganic flocculant dosing device 10 contains polyaluminum chloride (PAC) solution. Both the organic flocculant dosing device 9 and the inorganic flocculant dosing device 10 have automatic dosing functions. The powder dosing device 8, organic flocculant dosing device 9, and inorganic flocculant dosing device 10 are all connected to the mud conditioning tank 6 via pipelines.

[0066] The control unit, a central processing unit (CPU) 5, serves as the data aggregation, calculation, and analysis center for the entire system. It is signal-connected to the mixing and conditioning unit, the mud property sensing unit, and the automatic dosing unit. The control unit is signal-connected to the feed pipe 1 to control the entry of mud into the mud conditioning tank 6; it is signal-connected to the agitator 7 to control mud mixing; it is signal-connected to the image recognition sensor 3 to control the taking and processing of mud images; it is signal-connected to the mud concentration sensor 4 to detect mud concentration; and it is signal-connected to the ultrasonic ranging sensor 2 to monitor changes in mud level and calculate mud volume. The control unit is signal-connected to the powder dosing device 8 to add quicklime to the mud conditioning tank 6; it is signal-connected to the organic flocculant dosing device 9 to add polyacrylamide (PAM) solution to the mud conditioning tank 6; and it is signal-connected to the inorganic flocculant dosing device 10 to add polyaluminum chloride (PAC) solution to the mud conditioning tank 6.

[0067] The method for intelligent dosing using the above-mentioned intelligent dosing and conditioning system for construction waste mud is as follows:

[0068] S1, when the system is running, the central processor 5 controls the opening of the feeding pipe 1 to transport the waste mud to be treated into the mud conditioning barrel 6, the central processor 5 monitors the change of the mud liquid level through the ultrasonic distance sensor 2, the monitoring data is fed back to the central processor 5, and the volume of the mud in the mud conditioning barrel 6 is calculated. After the volume of the mud reaches the set value V (V = 5 m 3 in this embodiment), the central processor 5 controls the feeding pipe 1 to be closed to stop feeding. Then the stirrer 7 in the mud conditioning barrel 6 starts to work to stir the mud to a uniform state.

[0069] The mud in the mud conditioning barrel is photographed, and the representative red channel value a of the mud is obtained through image processing. Specifically, after 1-3 minutes of stirring, the image recognition sensor 3 and the mud concentration sensor 4 are turned on. The annular light source 16 in the image recognition sensor 3 is turned on to keep the light source stable, the camera 17 is turned on, and a high-definition photo of the mud is obtained every 5-20 seconds, a total of 5-10 photos. The obtained photos are temporarily stored in the image data storage and processor 18, the image data storage and processor 18 starts to obtain 25 array-distributed pixel points from each photo, extracts the RGB values of the pixel points, and transmits the RGB value data to the central processor 5. The red channel value of all the obtained pixel points is calculated to obtain the representative red channel value a.

[0070] The mass percentage concentration w of the mud is determined. Specifically, the mud concentration sensor 4 is a differential pressure concentration meter, the concentration w of the mud in the mud conditioning barrel is obtained through the mud concentration sensor 4, the concentration is the mass percentage concentration of the mud (w = 20% in this embodiment), that is, the ratio of the mass of solid substances in the mud to the total mass of the mud, and the data is transmitted to the central processor 5.

[0071] S2, the central processor 5 determines the sludge specific resistance SRF corresponding to the representative red channel value a according to the pre-fitted red channel value-sludge specific resistance standard curve I, and calculates the predicted sludge specific resistance PSRF according to the following formula,

[0072] PSRF = SRF × (0.85 + w)

[0073] wherein SRF is the sludge specific resistance, the unit is cm / g,

[0074] PSRF is the predicted sludge specific resistance, the unit is cm / g,

[0075] w is the mass percentage concentration of the mud;

[0076] In this embodiment, the function expression of the curve I is y = -3.87 × 10 9 x + 6.90 × 10 11 (the independent variable x is the red channel value, and the dependent variable y is the sludge specific resistance), the red channel value a = 81, and SRF = 3.77 × 1011 cm / g, calculated PSRF = 3.95 x 10 11 cm / g.

[0077] The fitting method of the red channel value-sludge specific resistance standard curve I is as follows: different depths of mud in the construction area are obtained as samples in advance, the red channel R value of each sample image is obtained (the same number of photos can be taken for each sample according to actual needs, the same number of pixel points are taken on each photo, and the average value of the R values of all pixel points is the red channel R value of the sample), and the sludge specific resistance of each sample is detected. In this embodiment, there are 9 samples, the red channel R value and the sludge specific resistance of each sample are shown in Table 1.

[0078] Table 1 red channel R value and sludge specific resistance of samples

[0079]

[0080] All the red channel R values of the samples are arranged from small to large, and the corresponding sludge specific resistance is fitted into a curve. In order to ensure that the data is as dispersed and uniform as possible, and to ensure that the red channel R value of all samples meets 60≤R≤200, when all the sample R values are arranged from small to large, the difference ΔR between the R values of adjacent two samples meets 5≤|ΔR|≤35. The curve obtained in this embodiment is shown in Figure 3 , the correlation coefficient r 2 of the curve is 0.867, which meets 0.75≤r 2 ≤1.0, so the curve is determined as the red channel value-sludge specific resistance standard curve I, and the function expression is y = -3.87 x 10 9 x + 6.90 x 10 11 .

[0081] S3, the central processing unit 5 performs dosing treatment according to the predicted sludge specific resistance PSRF obtained in S2, the stirrer 7 keeps stirring during the dosing process, the first sludge specific resistance limit value is preset as a = 8 x 10 10 cm / g, and the second sludge specific resistance limit value is preset as b = 3 x 10 11 cm / g,

[0082] i) when PSRF < 8 x 10 10 cm / g, it indicates that the dewatering resistance of the mud is small, and only PAM solution needs to be added, the concentration of the PAM solution is 0.2wt%, and the volume is V1, V1 is calculated according to the following formula,

[0083] V1 = w / 0.15 x 20 x V

[0084] wherein V is the volume of the mud, in m 3 ,

[0085] w is the mass percentage concentration of the mud,

[0086] V1 is the volume of PAM solution, in L.

[0087] ii) when 8x10 10 cm / g≤PSRF≤3x10 11 cm / g, it means that the mud dewatering resistance is medium, and organic flocculants and inorganic flocculants need to be added for conditioning, so PAC solution with a concentration of 10wt% and a volume of V2 is first added, followed by PAM solution with the same concentration and the same volume as in i) (i.e. a concentration of 0.2wt% and a volume of V1), and the volume V2 of the PAC solution is calculated as follows,

[0088] V2 = w / 0.15x60xV

[0089] wherein V is the preset value of the volume of the mud, in m 3 ,

[0090] w is the mass percentage concentration of the mud,

[0091] V2 is the volume of the PAC solution, in L,

[0092] iii) when PSRF>3x10 11 cm / g, it means that the mud dewatering resistance is large, and organic flocculants, inorganic flocculants and lime powder need to be added for conditioning, so PAC solution with the same concentration and the same volume as in ii) (i.e. a concentration of 10wt% and a volume of V2) is first added, followed by PAM solution with the same concentration and the same volume as in ii) (i.e. a concentration of 0.2wt% and a volume of V1) after 30s, and finally lime with a mass of m3 is added, and m3 is calculated as follows,

[0093] m3 = w / 0.15xV

[0094] wherein V is the volume of the mud, in m 3 ,

[0095] w is the mass percentage concentration of the mud,

[0096] m3 is the mass of the lime, in kg.

[0097] In this embodiment, V=5m 3 , w=20%, V1=133.3L, V2=400L and m3=6.7kg are calculated.

[0098] Since the PSRF obtained in step S2 is 3.95x10 11 >3x10 11cm / g, so this embodiment belongs to the case iii), and the conditioning scheme is: first add PAC solution with a concentration of 10wt% and a volume of 400L, then add PAM solution with a concentration of 0.2wt% and a volume of 133.3L after 30s, and finally add 6.7kg of quicklime after another 30s.

[0099] S4, after the medicament is added, the stirrer 7 in the mud conditioning barrel 6 continues to stir for 3-5min, then stops stirring, and stands for 1-3min to complete the conditioning.

[0100] S5, after the conditioning is completed, the feed pump 11 is started, and the conditioned mud is transported into the filter press 12 to enter the subsequent filter pressing and dewatering process, and the conditioned mud is dewatered into a dewatered mud cake 13 and discharged as tail water 14. After all the mud is transported, it returns to step S1 to perform the next cycle of processing.

[0101] During the feeding process, the ultrasonic ranging sensor 2 monitors the falling rate of the liquid level of the mud conditioning barrel 6, so as to obtain the feeding flow rate v of the filter press 12. If the feeding flow rate v is lower than the set value, it indicates that there is an abnormality in the mud conditioning process. This result is fed back to the central processor 5 to issue an alarm to prompt the operator to check the equipment, increase the medicament dosage of the next cycle, or replace the type of mud conditioning medicament.

[0102] After the above medicament conditioning method is processed, the mud medicament process is realized without manual operation, and can deal with mud produced in various mud formations, and the moisture content of the dewatered mud cake 13 is less than 35%.

Claims

1. An intelligent dosing conditioning method for construction waste mud, characterized in that, The method comprises the following steps: S1, conveying waste slurry with a volume of a preset value V into a slurry conditioning barrel, stirring uniformly, taking a photo of the slurry in the slurry conditioning barrel, and performing image processing to obtain a representative red channel value a of the slurry, and measuring the mass percentage concentration w of the slurry, The specific operation of obtaining the representative red channel value a comprises: Under a stable light source, a high-definition photo of the slurry is obtained every 5-20 seconds, a total of 5-10 photos, 25-100 array-distributed pixel points are obtained from each photo, the red channel values of all the obtained pixel points are extracted, and the average value is calculated to obtain the representative red channel value a; S2, determining the sludge specific resistance SRF corresponding to the representative red channel value a according to a pre-fitted red channel value-sludge specific resistance standard curve I, and calculating the predicted sludge specific resistance PSRF according to the following formula, PSRF = SRF × (0.85 + w) wherein SRF is the sludge specific resistance, and the unit is cm / g, PSRF is the predicted sludge specific resistance, and the unit is cm / g, w is the mass percentage concentration of the slurry, The fitting method of the red channel value-sludge specific resistance standard curve I comprises: Pre-acquire mud samples at different depths of the construction area, obtain the red channel R value of each sample image and detect the sludge specific resistance of each sample, arrange the red channel R values of all samples from small to large and combine the corresponding sludge specific resistance to fit a curve, when the correlation coefficient r of the curve satisfies 0.75≤r 2 ≤1.0, determine that the curve is the red channel value-sludge specific resistance standard curve. S3, the prediction sludge specific resistance PSRF obtained in S2 is subjected to a dosing treatment, the dosing process keeps stirring, a first sludge specific resistance limit value a and 6x10 10 cm / g≤a≤8x10 10 cm / g, a second sludge specific resistance limit value b and 3x10 11 cm / g≤b≤5x10 11 cm / g are preset, i) when PSRF < a, only PAM solution with a concentration of 0.2-0.5 wt% and a volume of V1 is added, V1 is calculated according to the following formula, V1 = w / 0.15 × 20 × V Wherein, V is the preset value of the mud volume, unit is m 3 , w is the mass percentage concentration of the slurry, V1 is the volume of the PAM solution, and the unit is L; ii) when a ≤ PSRF ≤ b, first PAC solution with a concentration of 10-20 wt% and a volume of V2 is added, then PAM solution with the same concentration and the same volume as in i) is added after an interval of 30-60 s, V2 is calculated according to the following formula, V2 = w / 0.15 × 60 × V Wherein, V is the preset value of the mud volume, unit is m 3 , w is the mass percentage concentration of the slurry, V2 is the volume of the PAC solution, and the unit is L; iii) when PSRF > b, first PAC solution with the same concentration and the same volume as in ii) is added, then PAM solution with the same concentration and the same volume as in ii) is added after an interval of 30-60 s, and finally quicklime with a mass of m3 is added, m3 is calculated according to the following formula, m3 = w / 0.15 × V Wherein, V is the preset value of the mud volume, unit is m 3 , w is the mass percentage concentration of the slurry, m3 is the mass of the quicklime, and the unit is kg; S4, after the addition of the chemicals is completed, stirring is continued for 3-5 min, and then standing is performed to complete the conditioning; S5, the conditioned slurry is conveyed to a filter press for pressure filtration dewatering, and after the conveying is completed, the step S1 is returned for the next cycle of treatment.

2. The construction waste mud intelligent dosing conditioning method according to claim 1, characterized in that, In the step S5, the feeding flow rate v of the filter press is monitored in real time during the feeding process of the filter press, and if the feeding flow rate v is lower than a set value, an alarm is sent to prompt the operator to check the equipment.

3. A system for use in the method of claim 1, wherein, It comprises: a mixing and conditioning unit, a slurry property sensing unit, an automatic chemical adding unit, and a control unit, the mixing and conditioning unit comprises a slurry conditioning barrel (6), the top of the slurry conditioning barrel (6) is provided with a feeding pipe (1), and the inside is provided with a stirrer (7); The mud property sensing unit comprises an image recognition sensor (3), a mud concentration sensor (4), and an ultrasonic ranging sensor (2). The image recognition sensor (3) is arranged on the mud conditioning barrel (6) for taking pictures of the mud. The mud concentration sensor (4) is arranged on the mud conditioning barrel (6) for detecting the mud concentration. The ultrasonic ranging sensor (2) is arranged directly above the mud conditioning barrel (6) for monitoring the change of the mud liquid level. The automatic dosing unit comprises a powder dosing device (8), an organic flocculant dosing device (9), and an inorganic flocculant dosing device (10), which are all in communication with the mud conditioning barrel (6). The control unit is signal connected with the mixing conditioning unit, the mud property sensing unit, and the automatic dosing unit.

4. The system for the construction waste mud intelligent dosing conditioning method according to claim 3, characterized in that, The bottom of the mud conditioning barrel (6) is provided with a feed pipe (19) leading to the filter press (12), and the feed pipe (19) is provided with a feed pump (11).

5. The system for the construction waste mud intelligent dosing conditioning method according to claim 3, characterized in that, The image recognition sensor (3) comprises a cylindrical shell (30), a wear-resistant transparent lens (15) mounted on the front end of the shell (30), and a camera (17) mounted on the rear end of the shell (30). An annular light source (16) is arranged around the camera (17) inside the shell (30). An image data storage and processor (18) is arranged behind the camera (17). An installation hole is formed in the barrel wall of the mud conditioning barrel (6), and the front end of the shell (30) is sealingly connected with the installation hole.

Images