Characteristic fluorescence identification and detection system for diffusion range of regional high-pressure grouting slurry
By using fluorescent identification and detection system of fluorescent sand particles and tracer in regional grouting treatment, combined with data fusion of artificial and digital models, the subjectivity and error problems of slurry diffusion range identification are solved, and more accurate diffusion range calculation and treatment effects are achieved.
Patent Information
- Application Number
- CN202510445083.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-10
- Publication Date
- 2025-07-04
AI Technical Summary
In the prior art, the identification of the slurry diffusion range in coal mine regional grouting treatment has strong subjectivity and large errors, and the influence of debris flowability and drilling friction resistance cannot be effectively considered, resulting in poor governance effect or increased cost.
The fluorescence identification and detection system is adopted for the characteristic fluorescence identification and detection system of regional high-pressure grouting slurry diffusion range. By setting fluorescent sand particles and tracers of different particle sizes, combining manual identification and digital models, the diffusion range of cement slurry is calculated by fusing, fluorescent sand particles are prepared and injected into drilling holes, combining ultraviolet lamps and image sensors to obtain debris information, performing three-dimensional construction and data fusion, and optimizing diffusion range calculation.
It improves the accuracy and credibility of the diffusion range of cement slurry, reduces the subjective error of manual identification, realizes effective consideration of rock cutting flowability and drilling friction resistance, improves the management effect and reduces costs.
Smart Images
Figure CN120253577A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of high-pressure grouting detection, and specifically to a fluorescence identification detection system for the characteristics of the diffusion range of regional high-pressure grouting slurry. Background Art
[0002] The hydrogeological conditions of coal mines are complex, and the development of coal resources is seriously threatened by water hazards. With the extension of the mining level and the increase of the mining intensity of the mine, the threat of limestone water in the coal seam floor is more serious, and the safety situation is severe. When mining the lower group of coal seams in the coalfield, the main threatening water source is the limestone water in the floor, including the limestone water in the Taiyuan Formation of the Carboniferous System, abbreviated as "Taihui Water", generally 12 layers, and the Ordovician limestone water, abbreviated as "Aohui Water". To prevent and control the limestone water hazard in the floor and liberate the coal resources above the high-confined water, the coalfield generally adopts the ground directional drilling technology to select a suitable "target layer" in the thin-layer limestone of the Taiyuan Formation in the coal seam floor, generally the 3rd or 4th layer of limestone. By combining vertical holes with multiple horizontal branch holes, regional grouting reinforcement and transformation are carried out on the "target layer". While increasing the thickness of the floor water-resisting layer, all vertical water-conducting channels are blocked. This technology is called "regional grouting treatment". The regional grouting treatment technology has the characteristics of advanced exploration and treatment time, large exploration and treatment space range, and good overall elimination effect of water hazard hidden dangers. This technology involves many key technologies. Among them, the problem of the hole spacing design of the "horizontal branch hole" which is closely related to the slurry diffusion radius has been generally concerned by the academic and industrial circles. If the hole spacing is designed too large, there may be a "blind area" in the treatment, and the treatment effect cannot be achieved, and the potential threat of floor water hazard cannot be completely eliminated; if the hole spacing is designed too small, the treatment cost will be greatly increased. Obviously, the reasonable design of the hole spacing of the horizontal branch hole is closely related to the accuracy of the slurry diffusion radius.
[0003] Collecting cuttings from the identification holes and identifying their fluorescence effects in a dark environment is extremely eye-consuming and prone to eye fatigue. The identification efficiency is low and the speed is slow. During the process of carrying the cuttings to the surface by high-pressure flushing, the fluorescent powder contained in the cement may be washed away to a certain extent, and the fluorescence intensity of the cement is weakened, increasing the difficulty of identification. As a result, during the identification process, the subjectivity of the identification of the slurry diffusion range is enhanced, and it is not easy to determine the true slurry diffusion range. In addition, the existing fluorescence identification does not consider that the fluidity of cuttings of different sizes in the borehole is different, and at the same time, there is a certain frictional resistance between the viscosity of the cement slurry itself and the inner wall of the borehole. These factors will all affect the final result of the diffusion range. Manual identification has a certain degree of subjectivity, and multiple people need to conduct identification simultaneously to eliminate the error influence caused by manual identification. The use of machine scanning also has the situation of missed scanning or misjudgment. Therefore, how to eliminate the influence of the above factors is a technical problem that needs to be solved by those skilled in the art. Summary of the Invention
[0004] Aiming at the deficiencies of the prior art, the present invention provides a fluorescence identification and detection system for the diffusion range characteristics of regional high-pressure grouting slurry, which solves the problems raised in the above-mentioned background art.
[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A fluorescence identification and detection system for the diffusion range characteristics of regional high-pressure grouting slurry, including an artificial terminal, a processing unit, a detection module, a grouting module, and a fluorescence module. The output end of the artificial terminal is connected to the input end of the processing unit, the input end of the detection module is connected to the input end of the processing unit, the output end of the fluorescence module and the input end of the processing unit are connected, the discharge port of the fluorescence module is communicated with the inlet of the grouting module, and the output end of the processing unit is connected to the input end of the grouting module;
[0006] The detection module is used to detect fluorescent sand grains in the borehole. The fluorescence module is used to prepare fluorescent sand grains of different particle sizes. Each kind of sand grain with a fluorescent particle size is matched with a tracer, and different tracers correspond to different fluorescences. The grouting module is used to mix fluorescent sand grains of different particle sizes into the cement slurry and inject them into the borehole. After the setting period of the cement slurry in the borehole ends, several detection holes are manually set with the borehole as the center, and the cuttings in the detection holes are obtained for identification to obtain the manual identification result. The operator uses the artificial terminal to input parameters to the processing unit. The parameters include the borehole length, the position of the detection holes, and the manual identification result. The artificial terminal transmits data to the processing unit through wireless communication. The processing unit executes a three-dimensional construction program to obtain the diffusion value Vj of each kind of fluorescent sand grain in each detection hole and summarizes it into a digital model. The processing unit performs data fusion calculation and correction on the manual identification result and the digital model to obtain the diffusion range of the cement slurry.
[0007] Further, the preparation process of the fluorescent sand grains specifically includes the following steps:
[0008] Select three different tracers, namely the first tracer, the second tracer, and the third tracer. The first tracer shows blue fluorescence in the detection module, the second tracer shows green fluorescence in the detection module, and the third tracer shows red fluorescence in the detection module;
[0009] Make sand grains of different particle sizes. The material of the sand grains is quartz sand, which has chemical inertness and can improve the accuracy of fluorescence detection. The sand grains are classified according to the particle size, and different sieves are used to filter and screen the sand grains, which are screened into small sand grains, medium sand grains, and large sand grains. The surface of the sand grains is treated with silane coupling agent to firmly adsorb the tracer through covalent bonds, avoiding the flushing and falling off of the tracer;
[0010] Wash and dry the screened small sand grains, medium sand grains, and large sand grains;
[0011] Soaking treatment: After drying in the sun, soak in the ethanol solution of the corresponding tracer. The first tracer corresponds to small sand grains, the second tracer corresponds to medium sand grains, and the third tracer corresponds to large sand grains.
[0012] Dispersion treatment: Set the dispersion time for the fluorescence module and use ultrasonic waves for dispersion.
[0013] Drying treatment: Set the drying temperature and drying time for the fluorescence module. Manually take out the sand grains and put them in the oven for drying to make the tracer evenly adsorbed on the surface of the stone grains.
[0014] Scanning and confirmation: Use a scanning electron microscope to confirm the tracer coverage rate. The fluorescence module sets the coverage rate threshold at 95%. Use SGVision vision software to count the proportion of the pixel quantity corresponding to the tracer in the scanning electron microscope. When the proportion of the pixel quantity is greater than or equal to the coverage rate threshold, proceed to the next step. Otherwise, if the proportion of the pixel quantity is less than the coverage rate threshold, repeat the soaking treatment, dispersion treatment, and drying treatment in sequence until the proportion of the pixel quantity is greater than or equal to the coverage rate threshold.
[0015] Grouping and numbering: Manually group and number the sand grains according to the tracer types to obtain fluorescent sand grains of different particle sizes. The fluorescence module uploads the recorded grouping numbers to the processing unit.
[0016] Furthermore, the steps for the grouting module to mix in the fluorescent sand grains are as follows:
[0017] The operator manually enters the drilling length to the processing unit through the manual terminal. The drilling length is provided by the pre-constructed drilling equipment. The processing unit sets three grouting stages according to the drilling length that needs to be grouted, namely the first stage, the second stage, and the third stage. The first stage is the initial grouting stage, accounting for The second stage is the intermediate grouting stage, accounting for The third stage is the late grouting stage, accounting for In each stage, mix fluorescent sand grains of different particle sizes into the cement slurry according to different ratios. The processing unit sets the stirring time. After the fluorescent sand grains are mixed into the cement slurry, the grouting module continuously stirs the cement slurry according to the stirring time.
[0018] In the first stage, the processing unit controls the grouting pressure of the grouting module to be 8 - 15 Mpa and the flow rate to be 50 - 100 L / min. The addition amount of all fluorescent sand grains accounts for 0.2% of the cement slurry. The fluorescence module preferentially mixes the fluorescent sand grains containing the first tracer into the grouting module. The content ratio of the fluorescent sand grains corresponding to the first tracer, the second tracer, and the third tracer is 3:2:1 in sequence. The scouring resistance generated between the inner wall of the borehole and the cement slurry is relatively large in the initial grouting stage. Therefore, a higher grouting pressure is required. At the same time, the scouring resistance will inhibit the flow of some larger-sized fluorescent sand grains. Therefore, in this stage, mainly the small sand grains containing the first tracer are used as the mixing source.
[0019] In the second stage, the processing unit controls the grouting pressure of the grouting module to be 7 - 12 Mpa, the flow rate to be 45 - 85 L / min, the addition amount of all fluorescent sand grains to account for 0.5% of the cement slurry. The fluorescence module preferentially mixes the fluorescent sand grains containing the second tracer into the grouting module. The content ratio of the fluorescent sand grains corresponding to the first tracer, the second tracer, and the third tracer is 2:3:2 in sequence. By using different ratios, the change in the fluidity of the fluorescent sand grains with different particle sizes following the cement slurry in the borehole can be observed, facilitating the analysis of the diffusion range of the cement slurry.
[0020] In the third stage, the processing unit controls the grouting pressure of the grouting module to be 9 - 13 Mpa, the flow rate to be 60 - 95 L / min, the addition amount of all fluorescent sand grains to account for 0.3% of the cement slurry. The fluorescence module preferentially mixes the fluorescent sand grains containing the third tracer into the grouting module. The content ratio of the fluorescent sand grains corresponding to the first tracer, the second tracer, and the third tracer is 1:2:3 in sequence. During the later grouting stage, the cement slurry continuously scours the inner wall of the borehole, and the scouring resistance of the inner wall of the borehole decreases. The grouting pressure can be appropriately reduced to avoid excessive load on the grouting module. At this time, the fluidity of the fluorescent sand grains with larger particle sizes is restored. Therefore, in this stage, the small sand grains containing the third tracer are mainly used as the mixing source.
[0021] Furthermore, the manual identification result is specifically obtained through the following steps:
[0022] The operator uses the employee card to approach the manual terminal for swiping. Each operator corresponds to an employee card, and a unique string is preset inside the employee card as the identifier of the operator, for the manual terminal to identify the corresponding operator and the manual identification result made by this operator. The operator successively fishes out the cuttings from each detection hole and irradiates the cuttings with ultraviolet lamps of different wavelengths in sequence.
[0023] The operator uploads the position of each detection hole to the processing unit through the manual terminal, subjectively judges the density of each type of fluorescent sand grain in the cuttings of the detection hole and assigns a value. No fluorescence is 0, weak fluorescence is 1, medium fluorescence is 2, and strong fluorescence is 3. Mark the assigned values of each detection hole in the order of the first tracer, the second tracer, and the third tracer. After each type of fluorescent sand grain in each detection hole is assigned a value, the operator uses the manual terminal to upload all the assigned records to the processing unit. The fluorescence intensity is the subjective judgment of the operator and varies from person to person. Therefore, quantifying and assigning values to the fluorescence intensity is convenient for on-site implementation on the one hand and for subsequent calculation and analysis on the other hand.
[0024] The processing unit executes the manual weight calculation program to obtain the manual identification result.
[0025] Further, the detection module uses several ultraviolet lamps and image sensors in the in-depth detection holes to obtain the image information of the fluorescent sand grains. The detection module transmits the obtained image information to the processing unit. At the same time, the processing unit obtains the position of the corresponding detection hole from the manual terminal;
[0026] When the three-dimensional construction program is executed, the processing unit sets the flow coefficients k1, k2, and k3. k1 is the flow coefficient of the first tracer small sand grains, k2 is the flow coefficient of the second tracer medium sand grains, and k3 is the flow coefficient of the third tracer large sand grains. k1, k2, and k3 satisfy the conditions k1 > k2 > k3 and k1 + k2 + k3 = 2. The processing unit continuously corrects the values of k1, k2, and k3 according to the subsequent manual identification results. The modification range of the flow coefficient modified by the processing unit is ±0.05. If the gap between the manual identification result and the digital model decreases after modifying the numerical value of the flow coefficient, it means that the modification of the flow coefficient is effective. On the contrary, if the gap increases, it means that the modification is invalid, and the numerical value of the flow coefficient is restored to the value before modification, so that the digital model can more accurately describe the diffusion range of the cement slurry;
[0027] The processing unit establishes an axis coordinate system according to the position of the detection hole, and sets m nodes on the axis. The number of nodes corresponds one by one to the detection holes;
[0028] The processing unit executes the image recognition process to obtain the number Q of fluorescent sand grains, where Q includes Q1, Q2, and Q3. Q1 is the number of the first tracer small sand grains, Q2 is the number of the second tracer medium sand grains, and Q3 is the number of the third tracer large sand grains;
[0029] Diffusion value calculation. The processing unit calculates the diffusion value Vj of the j-th node in the axis coordinate system according to the formula where δ is a constant infinitely close to zero to avoid the denominator being zero, Qig is the number of the g-th fluorescent sand grains in the i-th detection hole, kg is the flow coefficient of the g-th fluorescent sand grains, and m is the number of nodes;
[0030] The processing unit repeats the diffusion value calculation steps until the diffusion values Vj of all the fluorescent sand grains in all the detection holes are all calculated. The calculated diffusion values are input into the nodes of the axis coordinate system one by one to be converted into a histogram to obtain a digital model. Different fluorescent sand grains at the same node are replaced by bar charts of different colors. The small sand grains of the first tracer are represented by blue, the medium sand grains of the second tracer are represented by green, and the large sand grains of the point tracer are represented by red.
[0031] Further, when the artificial weight calculation program is executed, the processing unit obtains the string of each employee card and the position of each detection hole from the manual terminal. The position of the detection hole is represented by the length of the drilling. By reading the string of the employee card, the specific operator is identified. The processing unit further obtains the assignment of the employee card to each detection hole;
[0032] The processing unit aggregates the assignments corresponding to all employee cards in each detection hole, extracts the mode of the assignments of each type of fluorescent sand grain in each detection hole and marks it as the reference value, calculates the standard deviation of the assignment corresponding to each employee card from the reference value, and adds up the standard deviations of each employee card for each detection hole to obtain the total difference. The processing unit sorts all employee cards in descending order of the total difference to obtain a difference sequence;
[0033] The processing unit counts the number n of all employee cards in the difference sequence, and the processing unit divides the sequence number of each employee card in the difference sequence by the factorial n! of n to obtain the initial weight w1 corresponding to the employee card;
[0034] The processing unit normalizes the initial weight w1 of each employee card according to the formula w2 = w1 / W to obtain the weight number w2, where W is the total weight, that is, the sum of the initial weights w1 corresponding to all employee cards;
[0035] The processing unit extracts the assignment of each fluorescent sand grain in each detection hole, and divides the assignment by the largest weight number w2 corresponding to the assignment to obtain the artificial identification result corresponding to the fluorescent sand grain.
[0036] Further, when the image recognition process is executed, the processing unit respectively sets the RGB recognition ranges of blue fluorescence, green fluorescence, and red fluorescence. The upper limit of blue fluorescence is RGB(0, 0, 128), the lower limit of blue fluorescence is RGB(0, 128, 255), the upper limit of green fluorescence is RGB(0, 128, 0), the lower limit of green fluorescence is RGB(128, 255, 0), the upper limit of red fluorescence is RGB(128, 0, 0), and the lower limit of red fluorescence is RGB(255, 0, 128);
[0037] The processing unit quickly scans all image information and removes invalid areas in the image information;
[0038] The processing unit re-scans the to-be-processed tile pixel by pixel, marks the pixels within the recognition range of any one color fluorescence as fluorescent pixels. The processing unit sets an edge threshold and calculates the RGB numerical difference between the fluorescent pixels and adjacent pixels. If two or three of the RGB numerical differences exceed the edge threshold, the processing unit marks them as edge pixels. Otherwise, if none or only one of the RGB numerical differences exceeds the edge threshold, the processing unit does not perform any operation. When there is a single edge pixel, this pixel is a single fluorescent sand grain. When multiple edge pixels are adjacent, these adjacent pixels are regarded as a single fluorescent sand grain;
[0039] The processing unit counts the number Q of fluorescent sand grains within each color fluorescence range.
[0040] Further, the data fusion of the manual identification result and the digital model specifically includes the following steps:
[0041] The processing unit divides the diffusion value Vj of each type of fluorescent sand grain in each detection hole by the manual identification result to obtain a per-unit value. Here, the manual identification result is a specific value calculated by the operator's subjective judgment, representing the fluorescence intensity reflected by the fluorescent sand grain in the detection hole. The per-unit value is used to reflect the ratio relationship between the digital model scanned by the machine and the manual identification result judged subjectively by the human. If both the digital model and the manual identification result can accurately reflect the intensity of the fluorescent sand grain in each detection hole, the calculated per-unit values should be similar in magnitude. If the per-unit values vary greatly, it means that either the manual identification result or the digital model, or both, have made judgment errors.
[0042] The processing unit calculates the average value of all per-unit values and calculates the standard deviation of each per-unit value from the average value. The processing unit extracts the mode from the standard deviations greater than the average value and marks it as the upper limit difference, and extracts the mode from the standard deviations less than the average value and marks it as the lower limit difference.
[0043] The processing unit marks the detection holes corresponding to the standard deviations exceeding the upper limit difference and the lower limit difference as divergence points respectively, and the processing unit re-detects the divergence points to judge whether the manual identification result or the diffusion value Vj is detected incorrectly.
[0044] If the manual identification result is judged incorrectly, reduce the detection weight of the corresponding operator, specifically reduce the weight value w2 of the employee card. If the manual identification result is judged accurately, increase the detection weight of the corresponding operator, specifically increase the weight value w2 of the employee card. If the diffusion value Vj is judged incorrectly, expand the recognition range of the detection module, specifically increase the value of the edge threshold. If the diffusion value Vj is judged accurately, narrow the recognition range of the detection module, specifically increase the value of the edge threshold. Through the above method, the automatic adjustment of the detection weights of the manual terminal and the detection module can be realized, and the self-optimization of the system can be achieved.
[0045] Further, the fast scanning specifically includes the following steps:
[0046] The processing unit equally divides the image information into several image blocks, and the processing unit quickly scans whether there are pixels within the recognition range of any color fluorescence in the image blocks. If there are, the processing unit marks it as to be processed. Otherwise, if not, the image block is regarded as an invalid area and the image block is deleted. This method can quickly screen out the image blocks without fluorescent sand grains and improve the screening speed of the system.
[0047] Further, the judgment steps of the divergence points are specifically as follows:
[0048] The operator identifies the cuttings at the divergence point again, and the processing unit calculates the diffusion value Vj of the divergence point again. The manually identified result and the diffusion value Vj obtained from the re-detection are compared with the previously obtained manually identified result and the diffusion value Vj respectively. If the numerical difference is large, it indicates a detection error. If the difference between the two values is small, it indicates accurate detection.
[0049] The present invention has the following beneficial effects:
[0050] 1. By setting sand grains and tracers with different particle sizes, the fluorescent sand grains in the detection holes can comprehensively reflect the flow effect of the cement slurry in the borehole, taking into account the fluid viscosity of the cement slurry itself and the influence of the frictional resistance with the inner wall of the borehole, making the calculation of the diffusion range of the cement slurry more accurate and intuitive.
[0051] 2. By setting multiple operators to jointly identify, reducing the subjective influence of manual detection, and fusing the manual identification results and the digital model, the identification errors that occur during the detection process can be effectively avoided, improving the accuracy and credibility of the diffusion range.
[0052] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS
[0053] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.
[0054] Figure 1 It is a schematic structural diagram of the construction of the first embodiment of the present invention;
[0055] Figure 2 It is a block diagram of the fluorescence identification detection system for the diffusion range characteristics of the regional high-pressure grouting slurry of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0056] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.
[0057] Embodiment 1
[0058] Please refer to Figure 1, the present invention provides a technical solution: tracer test project and characteristic fluorescence analysis and detection. In the design of this engineering solution, the hole spacing of horizontal branch holes depends mostly on experience, which has a certain degree of blindness and restricts the water control effect and cost. Based on the tracer test project, a water-soluble fluorescent tracer is added to the grouting slurry to trace the diffusion range of the slurry;
[0059] The design scheme of the tracer test project is as follows:
[0060] The tracer test project includes a main hole Z8, which is a straight hole, including three horizontal branch holes, namely Z8-6, Z8-7 and Z8-8 in sequence, and also includes a cross-branch detection hole Z8JC. The hole spacing of the horizontal branch holes in the target treatment area ranges from 50m to 70m;
[0061] The total length of the horizontal branch hole Z8-7 is 1763m, of which the length of the bedding section of the target layer MDC along the layer is 619m. The Z8JC detection hole drills along the layer, with a length of 737m. The grouting module set on the ground is the grouting station ZJZ, which is used for grouting of the main hole Z8;
[0062] Drilling construction sequence: First, construct the Z8-7 hole, and add a tracer to the slurry of this hole. After the setting period of the cement slurry, construct the Z8-6 hole. After drilling is completed, grout. At point A of the designed Z8-8 hole, construct the Z8JC hole at an angle α, and the range of the angle α is 30°±10°. After tracing the tracer-containing cement in the Z8-7 hole through cuttings identification, continue drilling and intersect with the Z8-7 hole. After passing through the Z8-7 hole, continue to trace for 40m±5m to further confirm whether the cuttings contain tracer cement. After the Z8JC hole is completed, grout, and finally construct the Z8-8 hole. After drilling is completed, grout. Among them, in the process of drilling along the layer of the Z8-6, Z8JC, and Z8-8 holes, cuttings are intensively fished to detect the tracer-containing cement. Through identification and comprehensive analysis, the diffusion range, that is, the diffusion radius, of the slurry in the Z8-7 hole is determined;
[0063] In this solution, for characteristic fluorescence analysis and detection, a water-soluble fluorescent powder is selected as the tracer for the diffusion of the regional grouting slurry. The selected fluorescent powder produces a fluorescence effect when irradiated with a 365nm ultraviolet lamp in a dark environment. The fluorescence is eye-catching and highly recognizable. Moreover, it is non-toxic and harmless, colorless and transparent after dissolving in water, does not change the color of the original system, and is chemically inert, does not react with the chemical components in the added product system, and does not change the original physical and chemical properties of the product. In addition, the fluorescent powder is acid and alkali resistant, chlorine bleach resistant, and is not affected by the acidity and alkalinity of the added product system;
[0064] Cuttings of different lithologies such as sandstone, mudstone, and coal should have different spectral curves. The fluorescence of the fluorescent powder and cement spectral curves is different from others. It is feasible to realize the efficient automatic identification of cuttings through computer interpretation;
[0065] A fluorescent tracer is added to the cement slurry. When the cement solidifies, the fluorescent powder will be consolidated in the cement stone body. For the identification of fluorescent cement, a targeted optoelectronic detection method is proposed to detect the wavelength and fluorescence intensity of the fluorescence emitted by the cuttings when excited, and a characteristic fluorescence analysis and detection system is constructed. By identifying the presence or absence of fluorescence and its fluorescence intensity in the cuttings, it is possible to identify whether the cuttings contain fluorescent cement and the content of the fluorescent powder in the fluorescent cement. Generally, the closer to the fluorescent tracer hole, the more fluorescent powder in the cuttings and the stronger its fluorescence intensity. Therefore, by identifying the content of the fluorescent powder in the fluorescent cement, it is possible to further assist in analyzing the distance from the fluorescent tracer hole.
[0066] Example Two
[0067] Please refer to Figure 2 , the present invention provides a technical solution: a characteristic fluorescence identification and detection system for the diffusion range of regional high-pressure grouting slurry, including an artificial terminal, a processing unit, a detection module, a grouting module, and a fluorescence module. The output end of the artificial terminal is connected to the input end of the processing unit, the input end of the detection module is connected to the input end of the processing unit, the output end of the fluorescence module and the input end of the processing unit are connected, the discharge port of the fluorescence module is communicated with the feed port of the grouting module, and the output end of the processing unit is connected to the input end of the grouting module;
[0068] The detection module is used to detect the fluorescent sand grains in the drill hole. The fluorescence module is used to prepare fluorescent sand grains of different particle sizes. Each kind of sand grain with a fluorescent particle size is matched with a tracer, and different tracers correspond to different fluorescences. The grouting module is used to mix fluorescent sand grains of different particle sizes into the cement slurry and inject them into the drill hole. After 48 hours of the waiting period for the cement slurry in the drill hole to set, several detection holes are manually set with the drill hole as the center, and the distance between the detection holes is 10m. The cuttings in the detection holes are obtained for identification to obtain the manual identification result. The operator uses the artificial terminal to input parameters to the processing unit, and the parameters include the drill hole length, the position of the detection holes, and the manual identification result. The artificial terminal transmits data to the processing unit through wireless communication. The processing unit executes a three-dimensional construction program to obtain the diffusion value Vj of each kind of fluorescent sand grain in each detection hole and summarizes it into a digital model. The processing unit performs data fusion calculation and correction on the manual identification result and the digital model to obtain the diffusion range of the cement slurry.
[0069] Among them, the preparation process of the fluorescent sand grains specifically includes the following steps:
[0070] Three different tracers are selected, namely the first tracer, the second tracer, and the third tracer. The first tracer shows blue fluorescence in the detection module. The excitation wavelength of the first tracer is 365 nm, and the emission wavelength is 450 nm. The second tracer shows green fluorescence in the detection module. The excitation wavelength of the second tracer is 405 nm, and the emission wavelength is 525 nm. The third tracer shows red fluorescence in the detection module. The excitation wavelength of the third tracer is 488 nm, and the emission wavelength is 610 nm;
[0071] Sand grains of different particle sizes are made. The material of the sand grains is quartz sand, which has chemical inertness and can improve the accuracy of fluorescence detection. The sand grains are classified according to particle size, and different sieves are used to filter and screen the sand grains. They are screened into small sand grains with a particle size of 0.5 mm - 1 mm, medium sand grains with a particle size of 2 mm - 3 mm, and large sand grains with a particle size of 4 mm - 5 mm. The surface of the sand grains is treated with a silane coupling agent to firmly adsorb the tracer through covalent bonds, avoiding the flushing and falling off of the tracer;
[0072] The screened small sand grains, medium sand grains, and large sand grains are washed and dried;
[0073] Soaking treatment: After drying, soak them in the ethanol solution of the corresponding tracer. The concentration of the ethanol solution is 0.1 g / L. The first tracer corresponds to the small sand grains, the second tracer corresponds to the medium sand grains, and the third tracer corresponds to the large sand grains;
[0074] Dispersion treatment: Set the dispersion time in the fluorescence module and use ultrasonic waves to disperse for 30 minutes;
[0075] Drying treatment: Set the drying temperature at 60 °C and the drying time at 2 hours in the fluorescence module. Manually take out the sand grains and put them in the oven for drying to make the tracer evenly adsorbed on the surface of the stone grains;
[0076] Scanning and confirmation: Use a scanning electron microscope to confirm the tracer coverage rate. Set the coverage rate threshold at 95% in the fluorescence module. Use SGVision vision software to count the proportion of the pixel number corresponding to the tracer in the scanning electron microscope. When the proportion of the pixel number is greater than or equal to the coverage rate threshold, proceed to the next step. Otherwise, if the proportion of the pixel number is less than the coverage rate threshold, repeat the soaking treatment, dispersion treatment, and drying treatment in sequence until the proportion of the pixel number is greater than or equal to the coverage rate threshold;
[0077] Grouping and numbering: Manually group and number the sand grains according to the tracer type to obtain fluorescent sand grains of different particle sizes. The fluorescence module uploads the recorded grouping numbers to the processing unit.
[0078] Among them, the steps for the grouting module to mix in the fluorescent sand grains include the following:
[0079] The operator manually enters the drilling length into the processing unit through the manual terminal. The drilling length is provided by the pre-constructed drilling equipment. The processing unit sets three grouting stages according to the drilling length that needs to be grouted, namely the first stage, the second stage, and the third stage. The first stage is the initial grouting stage, accounting for The second stage is the intermediate grouting stage, accounting for The third stage is the late grouting stage, accounting for In each stage, fluorescent sand grains of different particle sizes are mixed into the cement slurry according to different ratios. The processing unit sets the stirring time to 3 minutes. After the fluorescent sand grains are mixed into the cement slurry, the grouting module continuously stirs the cement slurry according to the stirring time;
[0080] In the first stage, the processing unit controls the grouting pressure of the grouting module to be 8 - 15 Mpa and the flow rate to be 50 - 100 L / min. The addition amount of all fluorescent sand grains accounts for 0.2% of the cement slurry. The fluorescent module preferentially mixes the fluorescent sand grains containing the first tracer into the grouting module. The content ratios of the fluorescent sand grains corresponding to the first tracer, the second tracer, and the third tracer are 3:2:1 in sequence. In the initial grouting stage, the scouring resistance generated between the inner wall of the drilling hole and the cement slurry is relatively large. Therefore, a higher grouting pressure is required. At the same time, the scouring resistance will inhibit the flow of some larger-sized fluorescent sand grains. Therefore, in this stage, mainly the small sand grains containing the first tracer are used as the mixing source;
[0081] In the second stage, the processing unit controls the grouting pressure of the grouting module to be 7 - 12 Mpa and the flow rate to be 45 - 85 L / min. The addition amount of all fluorescent sand grains accounts for 0.5% of the cement slurry. The fluorescent module preferentially mixes the fluorescent sand grains containing the second tracer into the grouting module. The content ratios of the fluorescent sand grains corresponding to the first tracer, the second tracer, and the third tracer are 2:3:2 in sequence. Using different ratios can observe the changes in the fluidity of fluorescent sand grains of different particle sizes following the cement slurry in the drilling hole, which is convenient for analyzing the diffusion range of the cement slurry;
[0082] In the third stage, the processing unit controls the grouting pressure of the grouting module to be 9 - 13 Mpa and the flow rate to be 60 - 95 L / min. The addition amount of all fluorescent sand grains accounts for 0.3% of the cement slurry. The fluorescent module preferentially mixes the fluorescent sand grains containing the third tracer into the grouting module. The content ratios of the fluorescent sand grains corresponding to the first tracer, the second tracer, and the third tracer are 1:2:3 in sequence. In the late grouting stage, the cement slurry continuously scours the inner wall of the drilling hole, and the scouring resistance of the inner wall of the drilling hole decreases. The grouting pressure can be appropriately reduced to avoid excessive load on the grouting module. At this time, the fluidity of the larger-sized fluorescent sand grains is restored. Therefore, in this stage, mainly the small sand grains containing the third tracer are used as the mixing source.
[0083] Among them, the manual identification result is specifically obtained through the following steps:
[0084] The operator uses the employee card to approach the manual terminal for swiping. Each operator corresponds to an employee card, and a unique string is preset inside the employee card as the identifier of the operator, so that the manual terminal can identify the corresponding operator and the manual identification result of the operator. The operator successively fishes out cuttings from each detection hole and irradiates the cuttings with ultraviolet lamps of different wavelengths. The wavelengths of the ultraviolet lamps are 365nm, 405nm, and 488nm respectively, which are used to distinguish small sand grains, medium sand grains, and large sand grains;
[0085] The operator uploads the position of each detection hole to the processing unit through the manual terminal, subjectively judges the density of each fluorescent sand grain in the cuttings of the detection hole and assigns a value. No fluorescence is 0, weak fluorescence is 1, medium fluorescence is 2, and strong fluorescence is 3. Mark the assignment of each detection hole in the order of the first tracer, the second tracer, and the third tracer. For example, if one of the detection holes shows no fluorescence for the first tracer, weak fluorescence for the second tracer, and strong fluorescence for the third tracer after irradiation, it can be represented by the set [0, 1, 3]. After the assignment of each fluorescent sand grain in each detection hole is completed, the operator uses the manual terminal to upload all the assignment records to the processing unit. The fluorescence intensity is the subjective judgment of the operator and varies from person to person. Therefore, quantifying and assigning the fluorescence intensity is convenient for on-site implementation on the one hand and subsequent calculation and analysis on the other hand;
[0086] The processing unit executes the manual weight calculation program to obtain the manual identification result.
[0087] Among them, the detection module uses several ultraviolet lamps and image sensors that penetrate into the detection holes to obtain the image information of the fluorescent sand grains. The detection module transmits the obtained image information to the processing unit. At the same time, the processing unit obtains the position of the corresponding detection hole from the manual terminal;
[0088] When the three-dimensional construction program is executed, the processing unit sets the flow coefficients k1, k2, and k3. k1 is the flow coefficient of the small sand grains of the first tracer, k2 is the flow coefficient of the medium sand grains of the second tracer, and k3 is the flow coefficient of the large sand grains of the third tracer. k1, k2, and k3 satisfy the conditions k1 > k2 > k3 and k1 + k2 + k3 = 2. The initial values of k1, k2, and k3 are k1 = 1, k2 = 0.6, and k3 = 0.4. The processing unit continuously corrects the values of k1, k2, and k3 according to the subsequent manual identification results. The modification range of the flow coefficient by the processing unit is ±0.05. If the gap between the manual identification result and the digital model decreases after modifying the value of the flow coefficient, it means that the modification of the flow coefficient is effective. On the contrary, if the gap increases, it means that the modification is ineffective, and the value of the flow coefficient is restored to the value before modification, so that the digital model can describe the diffusion range of the cement slurry more accurately;
[0089] The processing unit establishes an axis coordinate system according to the positions of the detection holes, and m nodes are set on the axis. The number of nodes corresponds one-to-one with the detection holes;
[0090] The processing unit executes an image recognition process to obtain the number Q of fluorescent sand grains. Among them, Q includes Q1, Q2, and Q3. Q1 is the number of small sand grains of the first tracer, Q2 is the number of medium sand grains of the second tracer, and Q3 is the number of large sand grains of the third tracer;
[0091] Diffusion value calculation. The processing unit calculates the diffusion value Vj of the j-th node in the axis coordinate system according to the formula where δ is a constant infinitely close to zero, generally 0.001, to avoid the situation of a zero denominator. Qig is the number of the g-th type of fluorescent sand grains in the i-th detection hole, kg is the flow coefficient of the g-th type of fluorescent sand grains, and m is the number of nodes;
[0092] The processing unit repeats the diffusion value calculation step until the diffusion values Vj of all fluorescent sand grains in all detection holes are all calculated. The calculated diffusion values are input into the nodes of the axis coordinate system one-to-one and converted into a histogram to obtain a digital model. Different fluorescent sand grains at the same node are replaced by bar charts of different colors. The small sand grains of the first tracer are represented by blue, the medium sand grains of the second tracer are represented by green, and the large sand grains of the point tracer are represented by red.
[0093] Among them, when the artificial weight calculation program is executed, the processing unit obtains the string of each employee card and the position of each detection hole from the artificial terminal. The position of the detection hole is represented by the length of the drill hole. For example, if one detection hole is located at 740 m of the drill hole, the position of this detection hole can be represented by the value 740. The specific operator is identified by reading the string of the employee card, and the processing unit further obtains the assignment of this employee card to each detection hole;
[0094] The processing unit aggregates the assignments corresponding to all employee cards in each detection hole, extracts the mode of the assignments of each type of fluorescent sand grain in each detection hole and marks it as the reference value, calculates the standard deviation of the assignment corresponding to each employee card from the reference value, adds up the standard deviations of each employee card for each detection hole to obtain the total difference. The processing unit sorts all employee cards in descending order of the total difference to obtain a difference sequence;
[0095] The processing unit counts the number n of all employee cards in the difference sequence. The processing unit divides the sequence number of each employee card in the difference sequence by the factorial n! of n to obtain the initial weight w1 corresponding to the employee card. For example, if the number n of employee cards is 5 and the sequence number of the employee card is 3, the initial weight of this employee card
[0096]
[0097] The processing unit normalizes the initial weight w1 of each employee card according to the formula w2 = w1 / W to obtain the weight number w2, where W is the total weight, that is, the sum of the initial weights w1 corresponding to all employee cards;
[0098] The processing unit extracts the assignment of each fluorescent sand grain in each detection hole, and divides the assignment by the weight number w2 corresponding to the largest assignment to obtain the manual identification result corresponding to the fluorescent sand grain.
[0099] Among them, when the image recognition process is executed, the processing unit respectively sets the RGB recognition ranges of blue fluorescence, green fluorescence and red fluorescence. The upper limit of blue fluorescence is RGB(0, 0, 128), the lower limit of blue fluorescence is RGB(0, 128, 255), the upper limit of green fluorescence is RGB(0, 128, 0), the lower limit of green fluorescence is RGB(128, 255, 0), the upper limit of red fluorescence is RGB(128, 0, 0), and the lower limit of red fluorescence is RGB(255, 0, 128);
[0100] The processing unit quickly scans all the image information and removes the invalid areas in the image information;
[0101] The processing unit re-scans the tile to be processed pixel by pixel, marks the pixels within the recognition range of any one color fluorescence as fluorescent pixels. The processing unit sets the edge threshold to 10 and calculates the RGB value difference between the fluorescent pixels and the adjacent pixels. If two or three of the RGB value differences exceed the edge threshold, the processing unit marks it as an edge pixel. On the contrary, if none or only one of the RGB value differences exceeds the edge threshold, the processing unit does not perform any operation. For example, the pixel difference between the blue fluorescence pixel (0, 10, 130) and the adjacent pixel (0, 30, 160) has two G values and B values exceeding the edge threshold, so this fluorescent pixel is an edge pixel. When the edge pixel is single, this pixel is a single fluorescent sand grain. When multiple edge pixels are adjacent, the adjacent pixels are regarded as a single fluorescent sand grain;
[0102] The processing unit counts the number Q of fluorescent sand grains within each color fluorescence range.
[0103] Among them, the data fusion of the manual identification result and the digital model specifically includes the following steps:
[0104] The processing unit divides the diffusion value Vj of each type of fluorescent sand particle in each detection hole by the manual identification result to obtain a per-unit value. Here, the manual identification result is a specific value calculated by the operator's subjective judgment, representing the fluorescence intensity reflected by the fluorescent sand particle in the detection hole. The per-unit value is used to reflect the ratio relationship between the digital model scanned by the machine and the manual identification result judged subjectively by humans. If both the digital model and the manual identification result can accurately reflect the strength of the fluorescent sand particles in each detection hole, the calculated per-unit values should be similar in magnitude. If the per-unit values vary greatly, it means that there is a mistake in judgment by either the manual identification result or the digital model, or both.
[0105] The processing unit calculates the average value of all per-unit values and calculates the standard deviation of each per-unit value from the average value. The processing unit extracts the mode from the standard deviations greater than the average value and marks it as the upper limit difference, and extracts the mode from the standard deviations less than the average value and marks it as the lower limit difference.
[0106] The processing unit marks the detection holes corresponding to the standard deviations exceeding the upper limit difference and the lower limit difference as divergence points respectively, and the processing unit re-detects the divergence points to judge whether there is a mistake in the manual identification result or the diffusion value Vj detection.
[0107] If the manual identification result is misjudged, reduce the detection weight of the corresponding operator. Specifically, reduce the weight value w2 of the employee card by 0.1. If the manual identification result is judged accurately, increase the detection weight of the corresponding operator. Specifically, increase the weight value w2 of the employee card by 0.05. If the diffusion value Vj is misjudged, expand the recognition range of the detection module. Specifically, increase the value of the edge threshold by 2. If the diffusion value Vj is judged accurately, narrow the recognition range of the detection module. Specifically, increase the value of the edge threshold by 1. Through the above methods, the automatic adjustment of the detection weights of the manual terminal and the detection module can be realized, and the self-optimization of the system can be achieved.
[0108] Among them, the fast scanning specifically includes the following steps:
[0109] The processing unit divides the image information into equal parts to obtain several image blocks, such as 9 equal parts or 16 equal parts. The processing unit quickly scans whether there are pixels within the recognition range of any color fluorescence in the image blocks. If there are, the processing unit marks them as to be processed. On the contrary, if not, the image block is regarded as an invalid area and the image block is deleted. This method can quickly screen out the image blocks without fluorescent sand particles and improve the screening speed of the system.
[0110] Among them, the judgment steps of the divergence points are specifically as follows:
[0111] The operator discriminates the cuttings at the divergence point again, and the processing unit calculates the diffusion value Vj of the divergence point again. The manually discriminated result obtained from the re-detection and the diffusion value Vj are respectively compared with the previously obtained manually discriminated result and the diffusion value Vj. If the numerical difference is large, it indicates a detection error. If the difference between the two values is small, it indicates accurate detection.
[0112] The above are only the preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and should be covered within the protection scope of the present invention.
Claims
1. A fluorescence identification and detection system for the diffusion range characteristics of regional high-pressure grouting slurry, comprising an artificial terminal, a processing unit, a detection module, a grouting module, and a fluorescence module. The output end of the artificial terminal is connected to the input end of the processing unit. The input end of the detection module is connected to the input end of the processing unit. The output end of the fluorescence module and the input end of the processing unit are connected. The discharge port of the fluorescence module is communicated with the feed port of the grouting module. The output end of the processing unit is connected to the input end of the grouting module. It is characterized in that: The detection module is used to detect fluorescent sand grains in the borehole. The fluorescence module is used to prepare fluorescent sand grains of different particle sizes, and each kind of sand grain with a fluorescent particle size is matched with a tracer. The grouting module is used to mix fluorescent sand grains of different particle sizes into the cement slurry and inject them into the borehole. After the setting period of the cement slurry in the borehole ends, several detection holes are manually set with the borehole as the center, and the cuttings in the detection holes are obtained for identification to obtain an artificial identification result. The operator uses the artificial terminal to input parameters to the processing unit, and the parameters include the borehole length, the position of the detection holes, and the artificial identification result. The artificial terminal transmits data to the processing unit through wireless communication. The processing unit executes a three-dimensional construction program to obtain the diffusion value Vj of each kind of fluorescent sand grain in each detection hole and summarizes it into a digital model, and performs data fusion calculation and correction on the artificial identification result and the digital model to obtain the diffusion range of the cement slurry.
2. The fluorescence identification and detection system for the diffusion range characteristics of the regional high-pressure grouting slurry according to claim 1, characterized in that, The specific process for preparing the fluorescent sand grains includes the following steps: Select three different tracers, namely the first tracer, the second tracer, and the third tracer. The first tracer shows blue fluorescence in the detection module, the second tracer shows green fluorescence in the detection module, and the third tracer shows red fluorescence in the detection module. Manufacture sand grains of different particle sizes. The material of the sand grains is quartz sand. The sand grains are classified according to the particle size, and different sieves are used to filter and screen the sand grains, which are screened into small sand grains, medium sand grains, and large sand grains. The surface of the sand grains is treated with a silane coupling agent. Wash and dry the screened small sand grains, medium sand grains, and large sand grains. Soak treatment. After drying, soak them in the ethanol solution of the corresponding tracer. The first tracer corresponds to the small sand grains, the second tracer corresponds to the medium sand grains, and the third tracer corresponds to the large sand grains. Dispersion treatment. The fluorescence module sets the dispersion time and uses ultrasonic waves for dispersion. Drying treatment. The fluorescence module sets the drying temperature and drying time, takes out the sand grains and puts them into an oven for drying, so that the tracer is evenly adsorbed on the surface of the stone grains. Scanning confirmation. Use a scanning electron microscope to confirm the tracer coverage rate. The fluorescence module sets the coverage rate threshold to 95%. Count the proportion of the pixel number corresponding to the tracer in the scanning electron microscope. When the proportion of the pixel number is greater than or equal to the coverage rate threshold, enter the next step. Otherwise, if the proportion of the pixel number is less than the coverage rate threshold, repeat the soaking treatment, dispersion treatment, and drying treatment in sequence until the proportion of the pixel number is greater than or equal to the coverage rate threshold. Grouping and numbering. Group and number the sand grains according to the tracer type to obtain fluorescent sand grains of different particle sizes. The fluorescence module uploads the recorded grouping and numbering to the processing unit.
3. The fluorescence identification and detection system for the characteristics of the diffusion range of the regional high-pressure grouting slurry according to claim 1, wherein The steps for the grouting module to mix in the fluorescent sand grains include: The operator manually inputs the drilling length to the processing unit through the manual terminal, and sets three grouting stages according to the drilling length that needs to be grouted, namely the first stage, the second stage and the third stage. The first stage is the initial grouting stage, accounting for The second stage is the intermediate grouting stage, accounting for The third stage is the late grouting stage, accounting for In each stage, fluorescent sand grains of different particle sizes are mixed into the cement slurry according to different ratios, and the stirring time is set. After the fluorescent sand grains are mixed into the cement slurry, the grouting module continuously stirs the cement slurry according to the stirring time; In the first stage, the grouting pressure of the grouting module is 8 - 15 Mpa, the flow rate is 50 - 100 L / min, the addition amount of all fluorescent sand grains accounts for 0.2% of the cement slurry. The fluorescence module preferentially mixes the fluorescent sand grains containing the first tracer into the grouting module. The content ratio of the fluorescent sand grains corresponding to the first tracer, the second tracer, and the third tracer is 3:2:1 in sequence; In the second stage, the grouting pressure of the grouting module is 7 - 12 Mpa, the flow rate is 45 - 85 L / min, the addition amount of all fluorescent sand grains accounts for 0.5% of the cement slurry. The fluorescence module preferentially mixes the fluorescent sand grains containing the second tracer into the grouting module. The content ratio of the fluorescent sand grains corresponding to the first tracer, the second tracer, and the third tracer is 2:3:2 in sequence; In the third stage, the grouting pressure of the grouting module is 9 - 13 Mpa, the flow rate is 60 - 95 L / min, the addition amount of all fluorescent sand grains accounts for 0.3% of the cement slurry. The fluorescence module preferentially mixes the fluorescent sand grains containing the third tracer into the grouting module. The content ratio of the fluorescent sand grains corresponding to the first tracer, the second tracer, and the third tracer is 1:2:3 in sequence.
4. The fluorescence identification and detection system for the characteristics of the diffusion range of the regional high-pressure grouting slurry according to claim 1, wherein, The manual identification result is obtained through the following steps specifically: The operator uses the employee card to approach the manual terminal for card swiping. Each operator corresponds to an employee card, and a unique string is preset inside the employee card as the identifier of the operator. The operator successively fishes out cuttings from each detection hole and irradiates the cuttings with ultraviolet lamps of different wavelengths in sequence; The operator uploads the position of each detection hole to the processing unit through the manual terminal, subjectively judges the density of each type of fluorescent sand grain in the cuttings of the detection hole and assigns a value. No fluorescence is 0, weak fluorescence is 1, medium fluorescence is 2, strong fluorescence is 3. Mark the assigned values of each detection hole in the order of the first tracer, the second tracer, and the third tracer. After each type of fluorescent sand grain in each detection hole is assigned a value, the operator uses the manual terminal to upload all the assigned records to the processing unit; Execute the manual weight calculation program to obtain the manual identification result.
5. The fluorescence identification and detection system for the characteristics of the diffusion range of the regional high-pressure grouting slurry according to claim 1, wherein, The detection module uses several ultraviolet lamps and image sensors that penetrate into the detection holes to obtain the image information of the fluorescent sand grains. The detection module transmits the obtained image information to the processing unit. At the same time, the processing unit obtains the position of the corresponding detection hole from the manual terminal; When the three-dimensional construction program is executed, set the flow coefficients k1, k2, and k3. k1 is the flow coefficient of the small sand grains of the first tracer, k2 is the flow coefficient of the medium sand grains of the second tracer, k3 is the flow coefficient of the large sand grains of the third tracer. k1, k2, and k3 satisfy the conditions k1 > k2 > k3 and k1 + k2 + k3 = 2; Establish an axis coordinate system according to the position of the detection holes, and set m nodes on the axis. The number of nodes corresponds one-to-one with the detection holes; The processing unit executes the image recognition process to obtain the number Q of fluorescent sand grains. Among them, Q includes Q1, Q2, and Q3. Q1 is the number of small sand grains of the first tracer, Q2 is the number of medium sand grains of the second tracer, and Q3 is the number of large sand grains of the third tracer; Diffusion value calculation, according to the formula Calculate the diffusion value Vj of the j-th node in the axis coordinate system, where δ is a constant infinitely close to zero, Qig is the number of the g-th fluorescent sand grains in the i-th detection hole, kg is the flow coefficient of the g-th fluorescent sand grains, and m is the number of nodes; Repeat the diffusion value calculation steps until the diffusion values Vj of all fluorescent sand grains in all detection holes are all calculated. Input the calculated diffusion values into the nodes of the axis coordinate system one by one to convert them into a histogram to obtain a digital model, and different fluorescent sand grains at the same node are replaced by bar charts of different colors.
6. The fluorescence identification and detection system for the characteristics of the diffusion range of the regional high-pressure grouting slurry according to claim 4, characterized in that, When the artificial weight calculation program is executed, the processing unit obtains the string of each employee card and the position of each detection hole from the artificial terminal. The position of the detection hole is represented by the length of the drill hole to identify the specific operator, and the processing unit further obtains the assignment of each detection hole by the employee card. Collect the assignments corresponding to all employee cards in each detection hole, extract the mode of the assignments of each type of fluorescent sand grain in each detection hole and mark it as the reference value, calculate the standard deviation of the assignment corresponding to each employee card and the reference value, add up the standard deviations of each employee card for each detection hole to obtain the total difference, and sort all employee cards in descending order of the total difference to obtain the difference sequence. Count the number n of all employee cards in the difference sequence, and divide the sequence number of each employee card in the difference sequence by n factorial n! to obtain the initial weight w1 corresponding to the employee card. Normalize the initial weight w1 of each employee card according to the formula w2 = w1 / W to obtain the weight number w2, where W is the total weight, that is, the sum of the initial weights w1 corresponding to all employee cards. Extract the assignment of each fluorescent sand grain in each detection hole, and divide the assignment by the largest weight number w2 to obtain the artificial identification result corresponding to the fluorescent sand grain.
7. The fluorescence identification and detection system for the characteristics of the diffusion range of the regional high-pressure grouting slurry according to claim 5, wherein, When the image recognition process is executed, the processing unit respectively sets the RGB recognition ranges of blue fluorescence, green fluorescence and red fluorescence. The upper limit of blue fluorescence is RGB(0, 0, 128), the lower limit of blue fluorescence is RGB(0, 128, 255), the upper limit of green fluorescence is RGB(0, 128, 0), the lower limit of green fluorescence is RGB(128, 255, 0), the upper limit of red fluorescence is RGB(128, 0, 0), and the lower limit of red fluorescence is RGB(255, 0, 128). Quickly scan all image information and remove the invalid areas in the image information. Rescan the block to be processed pixel by pixel, mark the pixels within the recognition range of any one color fluorescence as fluorescent pixels, set the edge threshold and calculate the RGB numerical difference between the fluorescent pixels and adjacent pixels. If two or three of the RGB numerical differences exceed the edge threshold, mark them as edge pixels. On the contrary, if none or only one of the RGB numerical differences exceeds the edge threshold, do nothing. When the edge pixel is single, the pixel is a single fluorescent sand grain. When multiple edge pixels are adjacent, the adjacent pixels are regarded as a single fluorescent sand grain. Count the number Q of fluorescent sand grains within the range of each color fluorescence.
8. The fluorescence identification and detection system for the characteristics of the diffusion range of the regional high-pressure grouting slurry according to claim 1, characterized in that, The data fusion of the artificial identification result and the digital model specifically includes the following steps: Divide the diffusion value Vj of each type of fluorescent sand grain in each detection hole by the artificial identification result to obtain the per-unit value, which is used to reflect the ratio relationship between the digital model and the artificial identification result. Calculate the average value of all per-unit values and calculate the standard deviation of each per-unit value from the average value. Extract the mode from the standard deviations greater than the average value and label it as the upper limit difference, and extract the mode from the standard deviations less than the average value and label it as the lower limit difference; Mark the detection holes corresponding to the standard deviations exceeding the upper limit difference and the lower limit difference as divergence points respectively. The processing unit re-detects the divergence points to judge whether there is an error in the manual identification result or the diffusion value Vj detection; If the manual identification result is judged to be incorrect, reduce the detection weight of the corresponding operator. If the manual identification result is judged to be accurate, increase the detection weight of the corresponding operator. If the diffusion value Vj is judged to be incorrect, expand the recognition range of the detection module. If the diffusion value Vj is judged to be accurate, narrow the recognition range of the detection module.
9. The fluorescence identification and detection system for the characteristics of the diffusion range of the regional high-pressure grouting slurry according to claim 7, wherein, The fast scan specifically includes the following steps: The processing unit equally divides the image information into several tiles, and quickly scans whether there are pixels within the recognition range of any color fluorescence in the tiles. If so, mark it as to be processed. Otherwise, if not, the tile is regarded as an invalid area and the tile is deleted.
10. The fluorescence identification and detection system for the characteristics of the diffusion range of the regional high-pressure grouting slurry according to claim 8, characterized in that, The judgment steps of the divergence points are specifically as follows: The operator re-identifies the cuttings at the divergence point again. The processing unit recalculates the diffusion value Vj of the divergence point, and compares the manually identified result and the diffusion value Vj obtained from the re-detection with the previous ones respectively. If the numerical difference is large, it means that there is a detection error. If the difference between the two numerical values is small, it means that the detection is accurate.