Rainfall simulation prediction method and system for abandoned slag site

Abstract

The present disclosure provides a method and system for simulating and predicting rainfall in a waste dump, the method comprising: collecting the current water holding capacity L of the waste dump slag body; retrieving the evaporation water Eq, surface vegetation water retention Eb, maximum water holding capacity Lmax and future rainfall R of the waste dump slag body; simulating and calculating the saturated precipitation Ra of the waste dump, Ra = Lmax-L + Eq + Eb; in response to determining that R>Ra, generating a first prediction report; in response to determining that R≤Ra, generating a second prediction report. The method and system for simulating and predicting rainfall in a waste dump provided by the present disclosure realizes the prediction of the flow of rainfall in the waste dump, providing a basis for the subsequent management and control of the waste dump.

Description

Technical Field

[0001] The present invention relates to the technical field of waste dump engineering, and in particular to a method and system for simulating and predicting rainfall at a waste dump. Background Art

[0002] A waste dump refers to a storage site for abandoned soil, rocks, and slag generated during construction projects. Since the waste dump is an artificial accumulation with complex material sources, its internal structure is more complex and random than that of a natural slope. If it rains in the future, the flow of rainfall in the waste dump will be difficult to predict, making it more difficult to control the waste dump. Summary of the invention

[0003] In view of this, the purpose of the present disclosure is to propose a method and system for simulating and predicting rainfall in a slag dump to solve the related problems mentioned in the background technology.

[0004] In a first aspect of the present disclosure, a method for simulating and predicting rainfall at a waste dump is provided, comprising: collecting the current water holding capacity L of the waste dump slag body; retrieving the evaporation water Eq, the surface vegetation water retention Eb, the maximum water holding capacity Lmax and the future precipitation R of the waste dump slag body; simulating and calculating the saturated precipitation Ra of the waste dump, wherein the saturated precipitation Ra=Lmax-L+Eq+Eb; in response to determining that R>Ra, generating a first prediction report, wherein the first prediction report contains information that the future rainfall will form groundwater and surface water to discharge the waste dump; in response to determining that R≤Ra, generating a second prediction report, wherein the second prediction report contains information that the future rainfall will remain inside the waste dump.

[0005] Furthermore, the collection of the water holding capacity L includes: receiving the total weight W of the slag body in the abandoned slag field; measuring the humidity w of the slag body in the abandoned slag field; and calculating the water holding capacity L, wherein the water holding capacity L=w*W.

[0006] Furthermore, the retrieval of the evaporated water volume Eq and the surface vegetation water retention volume Eb includes: obtaining the location information of the abandoned slag dump; establishing a connection with a corresponding historical hydrological database according to the location information; and retrieving the evaporated water volume Eq and the surface vegetation water retention volume Eb corresponding to the abandoned slag dump from the historical hydrological database.

[0007] Furthermore, the maximum water holding capacity Lmax is obtained by retrieving the maximum water holding capacity experimental data calculated and stored in the hygroscopic water experimental equipment, wherein the calculation and storage of the maximum water holding capacity experimental data includes:

[0008] The total weight W of the slag body of the waste slag field is received by the hygroscopic water experimental equipment;

[0009] Using the moisture absorption test equipment to absorb water to saturation, the slag sample of the waste dump is subjected to measurement of a first average weight W1;

[0010] Using the hygroscopic water experimental equipment to dry the slag sample, and then measure the second average weight W2;

[0011] The maximum water holding capacity Lmax of the waste dump is calculated and stored using the hygroscopic water experimental equipment. The maximum water holding capacity Lmax=(W1-W2) / W2*W.

[0012] Furthermore, the retrieval of the future precipitation R includes: obtaining the location information of the waste dump; establishing a connection with a corresponding meteorological bureau database according to the location information; and retrieving the predicted future precipitation R corresponding to the waste dump from the meteorological bureau database.

[0013] Furthermore, the step of retrieving the evaporated water amount Eq, the water retention amount Eb of the surface vegetation, the maximum water holding capacity Lmax and the predicted future precipitation R of the slag body in the waste dump also includes: retrieving the highest historical precipitation Rmax of the waste dump.

[0014] Furthermore, the method also includes: generating a stability evaluation report of the waste dump based on the historical maximum precipitation Rmax and the saturated precipitation Ra.

[0015] Furthermore, the stability evaluation report of the waste dump is generated according to the historical maximum precipitation Rmax and the saturated precipitation Ra, including: in response to determining that Rmax<Ra, generating a safety evaluation report; in response to determining that Ra≤Rmax<1.2Ra, generating a first-level evaluation report; in response to determining that 1.2Ra≤Rmax<1.5Ra, generating a second-level evaluation report; in response to determining that Rmax≥1.5Ra, generating a third-level evaluation report.

[0016] A second aspect of the present disclosure provides a system for simulating and predicting rainfall at a waste dump, comprising:

[0017] A collection module, arranged at the waste dump, configured to collect the water holding capacity L of the waste dump slag body;

[0018] The retrieval module is configured to retrieve the evaporation water Eq of the slag body of the waste dump, the water retention Eb of the surface vegetation, the maximum water holding capacity Lmax and the future precipitation R of future rainfall;

[0019] A simulation module is communicatively connected to the acquisition module and electrically connected to the retrieval module, and is configured to simulate and calculate the saturated precipitation Ra of the waste dump, wherein the saturated precipitation Ra=Lmax-L+Eq+Eb;

[0020] The prediction module is electrically connected to the simulation module and is configured to generate a first prediction report in response to determining R>Ra, wherein the first prediction report contains information that future rainfall will form groundwater and surface water to discharge from the waste dump; and generate a second prediction report in response to determining R≤Ra, wherein the second prediction report contains information that future rainfall will remain inside the waste dump.

[0021] Furthermore, the acquisition module includes:

[0022] A receiving antenna configured to receive a total weight W of the slag body in the waste dump;

[0023] A hygrometer, wherein a probe of the hygrometer is arranged inside the slag body of the waste dump, and the hygrometer is configured to measure the current humidity w of the slag body of the waste dump;

[0024] A calculation module, electrically connected to the receiving antenna and the hygrometer, configured to calculate the water holding capacity L, wherein the water holding capacity L=w*W;

[0025] The transmitting antenna is electrically connected to the computing module and is configured to emit the current water holding capacity L of the slag body in the waste dump.

[0026] From the above, it can be seen that the method and system for simulating and predicting rainfall in a waste dump provided by the present invention realize the prediction of rainfall flow in the waste dump, providing a basis for the subsequent management and control of the waste dump; by collecting the water holding capacity of the waste dump, the data can be updated in time to improve the accuracy; the concept of saturated precipitation is introduced to facilitate the simulation of rainfall flow; by comparing the relationship between saturated precipitation and future precipitation, the prediction of rainfall flow is made more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the present disclosure or related technologies, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0028] Figure 1 A schematic diagram of a process flow of a method for simulating and predicting rainfall at a waste dump according to an embodiment of the present disclosure;

[0029] Figure 2 A schematic diagram of a rainfall infiltration model for a waste dump according to an embodiment of the present disclosure;

[0030] Figure 3a A first rainfall flow prediction diagram of a rainfall infiltration model for a waste dump according to an embodiment of the present disclosure;

[0031] Figure 3bA second rainfall flow prediction diagram of a rainfall infiltration model for a waste dump according to an embodiment of the present disclosure;

[0032] Figure 3c A third rainfall flow prediction diagram of a rainfall infiltration model for a waste dump according to an embodiment of the present disclosure;

[0033] Figure 4 It is a structural schematic diagram of a rainfall simulation prediction system for a slag dump according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0034] In order to make the objectives, technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0035] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present disclosure should be understood by people with ordinary skills in the field to which the present disclosure belongs. The words "including" or "comprising" and the like used in the embodiments of the present disclosure mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. The words "connected" or "connected" and the like are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect.

[0036] The hydrogeological characteristics of the hydropower station spoil dump are similar to those of the mining and metallurgical system spoil dump. The hydropower station spoil dump is generally one of the types such as gully type, hillside type, river valley type, flat land type, or a mixture of several of them. The groundwater recharge and discharge of the flat land spoil dump are relatively simple. Under ideal conditions, the main source of groundwater recharge is the infiltration of atmospheric rainfall, which infiltrates into the spoil dump and flows out to the surrounding areas, generally seeping out at the foot of the slope. The main sources of groundwater in the gully / hillside type spoil dump are atmospheric rainfall and original surface underground runoff. Atmospheric rainfall infiltrates the spoil dump through the hillside runoff, original groundwater and rainfall on the surface of the slag body, flows from high head to low head through the internal runoff of the spoil dump, and is discharged at the foot of the slope of the spoil dump.

[0037] Since the waste dump is an artificial accumulation body with complex material sources, its internal structure is more complex and random than that of natural slopes, and there is no definite pattern to follow for naturally formed slope deposits, flood deposits, and collapse deposits. Considering that the particle size distribution of artificial waste is extremely uneven and the movement of groundwater is more complex, it is difficult to accurately predict the flow of future rainfall in the waste dump, which increases the difficulty of controlling the waste dump.

[0038] In the process of realizing the present disclosure, the applicant discovered that the slag body inside the waste dump has a strong water-retaining capacity. As rainwater infiltrates into the waste dump, the pore water gradually reaches a saturated state. If rainfall continues, surface water and groundwater will be formed. In addition, the original water retention in the slag body of the waste dump has a great influence on the flow of rainfall. Therefore, the waste dump can be idealized to obtain the concept of the saturated precipitation of the waste dump. By comparing the relationship between the saturated precipitation and the future precipitation, the future rainfall flow can be judged.

[0039] The technical solution of the present disclosure is described in detail below through specific embodiments.

[0040] refer to Figure 1 , is a flow chart of a method for simulating and predicting rainfall at a waste dump according to an embodiment of the present disclosure, comprising the following steps:

[0041] S1. Collecting the water holding capacity L of the slag body in the current waste dump.

[0042] The water holding capacity L of the slag body in the waste dump has a great influence on the subsequent rainfall simulation prediction. Timely updating of the water holding capacity L can improve the accuracy of the prediction.

[0043] Furthermore, the collection of the water holding capacity L includes: receiving the total weight W of the slag body in the abandoned slag field; measuring the humidity w of the slag body in the abandoned slag field; and calculating the water holding capacity L, wherein the water holding capacity L=w*W.

[0044] The water holding capacity L can be calculated by measuring the humidity w of the slag, which can improve the accuracy of collecting the water holding capacity L.

[0045] In some embodiments, the humidity w of the slag body in the waste dump is measured by a hygrometer, and the hygrometer is a soil non-core density moisture meter, and the model of the soil non-core density moisture meter is HPEDG-S.

[0046] Measuring humidity through a hygrometer has high sensitivity, good stability and more accurate testing.

[0047] In some embodiments, two hygrometers are provided at the bottom, middle and top of the slope of the waste dump, for a total of six hygrometers, each of which measures the humidity of the slag body and calculates the average humidity. The water holding capacity

[0048] By calculating the average humidity, the accuracy of water holding capacity L calculation is improved.

[0049] S2, retrieve the evaporated water volume Eq of the slag body of the waste dump, the water retention volume Eb of the surface vegetation, the maximum water holding capacity Lmax and the future precipitation volume R of future rainfall.

[0050] By retrieving data, a basis is provided for subsequent rainfall simulation forecasts.

[0051] In step S2, the evaporation water volume Eq and the surface vegetation water retention Eb are retrieved, including: obtaining the location information of the waste dump; establishing a connection with a corresponding historical hydrological database according to the location information; and retrieving the evaporation water volume Eq and the surface vegetation water retention Eb corresponding to the waste dump from the historical hydrological database.

[0052] Directly utilizing data from the historical hydrological database improves the efficiency of rainfall simulation and prediction.

[0053] In step S2, the maximum water holding capacity Lmax is obtained by retrieving the maximum water holding capacity experimental data calculated and stored in the hygroscopic water experimental equipment, wherein the calculation and storage of the maximum water holding capacity experimental data includes:

[0054] The total weight W of the slag body of the waste slag field is received by the hygroscopic water experimental equipment;

[0055] Using the moisture absorption test equipment to absorb water to saturation, the slag sample of the waste dump is subjected to measurement of a first average weight W1;

[0056] Using the hygroscopic water experimental equipment to dry the slag sample, and then measure the second average weight W2;

[0057] The maximum water holding capacity Lmax of the waste dump is calculated and stored using the hygroscopic water experimental equipment. The maximum water holding capacity Lmax=(W1-W2) / W2*W.

[0058] Slag samples from different locations of the waste dump can be selected for multiple groups of moisture absorption experiments. For example, slag samples can be taken from the bottom, middle and top of the slope of the waste dump for moisture absorption experiments. The average value of the maximum water holding capacity is taken as the original maximum water holding capacity, which is more accurate for subsequent rainfall simulation prediction.

[0059] In step S2, the retrieval of the future precipitation R includes: obtaining the location information of the waste dump; establishing a connection with the corresponding meteorological bureau database according to the location information; and retrieving the predicted future precipitation R corresponding to the waste dump from the meteorological bureau database.

[0060] The Meteorological Bureau generally predicts rainfall for several days in the future. Direct use of data in the Meteorological Bureau database improves the efficiency of rainfall simulation forecasting.

[0061] In some embodiments, the step S2 further includes: retrieving the historical maximum precipitation Rmax of the waste dump.

[0062] The retrieval of the historical maximum precipitation Rmax includes: obtaining the location information of the waste dump; establishing a connection with a corresponding historical hydrological database according to the location information; and retrieving the historical maximum precipitation Rmax corresponding to the waste dump from the historical hydrological database.

[0063] Provide a basis for the stability evaluation of the waste dump.

[0064] S3. Simulate and calculate the saturated precipitation Ra of the waste dump, wherein the saturated precipitation Ra=Lmax-L+Eq+Eb.

[0065] refer to Figure 2 The rainfall infiltration model of the waste dump idealizes the waste dump into a water-holding body. By calculating the saturated precipitation Ra that the waste dump can withstand in the future, the simulation and prediction of rainfall is simple and direct.

[0066] S4. In response to determining that R>Ra, a first forecast report is generated, wherein the first forecast report contains information that the future rainfall will form groundwater and surface water to discharge the waste dump; in response to determining that R≤Ra, a second forecast report is generated, wherein the second forecast report contains information that the future rainfall will remain inside the waste dump.

[0067] refer to Figure 2 According to the rainfall infiltration model of the abandoned slag dump, when the future precipitation R is greater than the saturated precipitation Ra, part of the excess water from the future rainfall, that is, the water corresponding to R-Ra, will infiltrate into groundwater, and the other part will be discharged through the bottom of the slag body to form surface water; when the future precipitation R is less than or equal to the saturated precipitation Ra, the future rainfall will be stored in the slag body.

[0068] An idealized prediction of the flow of rainfall in the waste dump has been achieved, and the staff can use the prediction report to provide a reference for the subsequent management and control of the waste dump.

[0069] In some embodiments, Figure 3a , 3b As shown in 3c, the waste dump in the waste dump rainfall infiltration model is divided into a water holding body A and a water holding body B, and the pores of the water holding body A are smaller than the pores of the water holding body B.

[0070] Because the slag in the waste dump is generally composed of slag from various sources and has severely poor particle grading, when the clay and fine particle content is high, it has a greater impact on the flow prediction of rainfall. Therefore, the peak value of rainfall discharge will generally lag behind the peak value of rainfall, with a lag time of 3 to 25 days.

[0071] The bottoms of water-holding bodies A and B are connected, so that rainfall can flow from water-holding body A to water-holding body B. The pores of the water-holding bodies can be set with corresponding parameters according to the particle size and viscosity of the slag sample in the waste dump. By setting up water-holding bodies with two types of pores, the flow of rainfall in the waste dump can be simulated more accurately.

[0072] When R≤Eq+Eb, Figure 3a As shown in a1 in , the future rainfall will be transferred to the evaporation water and the surface vegetation water retention, while the original water holding capacity L of the waste dump will not change. Figure 3a As shown in a2 in .

[0073] When Eq+Eb<R≤Ra, such as Figure 3b As shown in b1 in the figure, future rainfall will flow from water holding body A to water holding body B, and eventually part of the rainfall will be transferred to evaporation water and surface vegetation water retention; the other part of the rainfall will be retained in the slag body, increasing the current water holding capacity L of the waste dump. Figure 3b As shown in b2.

[0074] When R>Ra, Figure 3c As shown in c1 in the figure, future rainfall will flow from water holding body A to water holding body B, and eventually part of the rainfall will be transferred to evaporation water and surface vegetation water retention; part of the rainfall will be retained in the slag body, so that the current water holding capacity L of the waste dump reaches the maximum water holding capacity Lmax; and part of the rainfall will be discharged from the waste dump to form C, the state is as follows Figure 3c As shown in c2, C represents groundwater and surface water.

[0075] Water-retaining body A has small pores, and the van der Waals force and adhesion force of the small pores are obvious. It has strong hydrophilicity and a larger specific surface area. It quickly forms a water film when it comes into contact with water, and will retain a part of the bound water and closed free water. Therefore, it is insensitive to rainfall and will form a lag. Water-retaining body B has large pores, and its main function is drainage. It is sensitive to rainfall and the water level changes quickly.

[0076] Furthermore, the type of vegetation in the waste dump can be adjusted to increase the water retention capacity Eb of the surface vegetation, thereby increasing the saturated precipitation and making the waste dump more stable.

[0077] In some embodiments, in response to determining that R>Ra, a first forecast report is generated, and the first forecast report includes a first rainfall flow prediction map; in response to determining that Eq+Eb<R≤Ra, a Class A second forecast report is generated, and the Class A second forecast report includes a second rainfall flow prediction map; in response to determining that R≤Eq+Eb, a Class B second forecast report is generated, and the Class B second forecast report includes a third rainfall flow prediction map.

[0078] The flow of future rainfall in the waste dump can be predicted more intuitively and accurately. The second forecast report includes the A-level second forecast report and the B-level second forecast report. The first rainfall flow prediction map is Figure 3a , the second rainfall flow forecast map is Figure 3b , the third rainfall flow forecast map is Figure 3c .

[0079] S5. Generate a stability evaluation report of the waste dump according to the historical maximum precipitation Rmax and the saturated precipitation Ra.

[0080] By comparing Rmax and Ra, the future stability of the waste dump is analyzed, which plays an auxiliary role in the work of the waste dump.

[0081] Further, step S5 includes: generating a safety evaluation report in response to determining that Rmax<Ra; generating a first-level evaluation report in response to determining that Ra≤Rmax<1.2Ra; generating a second-level evaluation report in response to determining that 1.2Ra≤Rmax<1.5Ra; generating a third-level evaluation report in response to determining that Rmax≥1.5Ra.

[0082] The graded stability evaluation of the waste dump can provide a clearer understanding of the safety situation of the waste dump and provide different degrees of guidance to the staff. The staff can reasonably allocate manpower and material resources according to the level of the stability evaluation report. For example, if a level 3 evaluation report is generated, the staff needs to strengthen the monitoring of the waste dump and take corresponding safety precautions to deal with the possible instability of the waste dump; if a safety evaluation report is generated, the staff can appropriately reduce the monitoring of the waste dump and save resources. Sometimes, the staff will monitor multiple waste dumps at the same time, and the workload can be reasonably allocated according to the corresponding stability evaluation report of each waste dump.

[0083] In some embodiments, the method for simulating and predicting rainfall at a waste dump further includes:

[0084] S6. Obtain the minimum surface precipitation Rmin in the historical disaster accidents of the waste dump:

[0085] S7. In response to determining that Rmin≤R, output a warning report.

[0086] By comparing the future precipitation of the waste dump with the minimum surface precipitation of historical disaster accidents, an early warning analysis of the future stability of the waste dump is conducted to remind staff to do a good job in disaster prevention.

[0087] It should be noted that the method of the embodiment of the present disclosure can be performed by a single device, such as a computer or a server. The method of the present embodiment can also be applied in a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of the embodiment of the present disclosure, and the multiple devices will interact with each other to complete the described method.

[0088] It should be noted that the above describes some embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the above embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0089] Based on the same inventive concept, corresponding to any of the above-mentioned embodiments, the present disclosure also provides a system for simulating and predicting rainfall at a waste dump, referring to Figure 4 ,include:

[0090] The collection module 401 is arranged at the waste dump and is configured to collect the water holding capacity L of the waste dump slag body at present;

[0091] The retrieving module 402 is configured to retrieve the evaporation water amount Eq of the slag body of the waste dump, the water retention amount Eb of the surface vegetation, the maximum water holding capacity Lmax and the future precipitation amount R of future rainfall;

[0092] The simulation module 403 is connected to the acquisition module 401 in communication, and is electrically connected to the retrieval module 402, and is configured to simulate and calculate the saturated precipitation Ra of the waste dump, where the saturated precipitation Ra=Lmax-L+Eq+Eb;

[0093] The prediction module 404 is electrically connected to the simulation module 403 and is configured to generate a first prediction report in response to determining that R>Ra, wherein the first prediction report contains information that future rainfall will form groundwater and surface water to discharge the waste dump; and generate a second prediction report in response to determining that R≤Ra, wherein the second prediction report contains information that future rainfall will remain inside the waste dump.

[0094] In some embodiments, the acquisition module 401 includes:

[0095] A receiving antenna configured to receive a total weight W of the slag body in the waste dump;

[0096] A hygrometer, wherein a probe of the hygrometer is arranged inside the slag body of the waste dump, and the hygrometer is configured to measure the current humidity w of the slag body of the waste dump;

[0097] A calculation module, electrically connected to the receiving antenna and the hygrometer, configured to calculate the water holding capacity L, wherein the water holding capacity L=w*W;

[0098] The transmitting antenna is electrically connected to the computing module and is configured to emit the current water holding capacity L of the slag body in the waste dump.

[0099] In some embodiments, the retrieval module 402 includes a first retrieval unit, which is configured to obtain location information of the waste dump; establish a connection with a corresponding historical hydrological database based on the location information; and retrieve the evaporation water Eq and surface vegetation water retention Eb corresponding to the waste dump from the historical hydrological database.

[0100] In some embodiments, the retrieval module 402 includes a second retrieval unit, and the second retrieval unit is configured to retrieve the maximum water holding capacity experimental data calculated and stored in the hygroscopic water experimental equipment.

[0101] Furthermore, the hygroscopic water experimental equipment is configured to receive the total weight W of the slag body of the abandoned slag yard; measure the first average weight W1 of the slag body sample of the abandoned slag yard after absorbing water to saturation; measure the second average weight W2 after drying the slag body sample; calculate and store the maximum water holding capacity Lmax of the abandoned slag yard, and the maximum water holding capacity Lmax = (W1-W2) / W2*W.

[0102] In some embodiments, the retrieval module 402 includes a third retrieval unit, which is configured to obtain location information of the waste dump; establish a connection with a corresponding meteorological bureau database based on the location information; and retrieve the predicted future precipitation R corresponding to the waste dump from the meteorological bureau database.

[0103] In some embodiments, the retrieval module 402 includes a fourth retrieval unit, and the fourth retrieval unit is configured to retrieve the historical maximum precipitation Rmax of the waste dump.

[0104] In some embodiments, the abandoned slag dump rainfall simulation prediction system further includes a stability evaluation module, and the stability evaluation module is configured to generate a stability evaluation report of the abandoned slag dump based on the historical maximum precipitation Rmax and the saturated precipitation Ra.

[0105] Furthermore, the stability evaluation module is specifically configured to generate a safety evaluation report in response to determining that Rmax<Ra; generate a first-level evaluation report in response to determining that Ra≤Rmax<1.2Ra; generate a second-level evaluation report in response to determining that 1.2Ra≤Rmax<1.5Ra; and generate a third-level evaluation report in response to determining that Rmax≥1.5Ra.

[0106] For the convenience of description, the above device is described by dividing it into various modules according to its functions. Of course, when implementing the present disclosure, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0107] The device of the above embodiment is used to implement the corresponding abandoned slag field rainfall simulation prediction method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be repeated here.

[0108] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present disclosure (including the claims) is limited to these examples. Based on the concept of the present disclosure, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present disclosure as described above, which are not provided in detail for the sake of simplicity.

[0109] In addition, to simplify the description and discussion, and in order not to make the embodiments of the present disclosure difficult to understand, the known power / ground connections to the integrated circuit chips and other components may or may not be shown in the provided figures. In addition, the device can be shown in the form of a block diagram to avoid making the embodiments of the present disclosure difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform on which the embodiments of the present disclosure will be implemented (that is, these details should be fully within the scope of understanding of those skilled in the art). Where specific details are set forth to describe exemplary embodiments of the present disclosure, it is apparent to those skilled in the art that the embodiments of the present disclosure can be implemented without these specific details or with changes in these specific details. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0110] While the disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications and variations of these embodiments will be apparent to those skilled in the art in light of the foregoing description.

[0111] The embodiments of the present disclosure are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A method for simulating and predicting rainfall at a waste dump, comprising: Collecting the water holding capacity L of the slag body of the current waste dump, wherein the collection of the water holding capacity L includes: receiving the total weight W of the slag body of the waste dump; measuring the humidity w of the slag body of the current waste dump; calculating the water holding capacity L, wherein the water holding capacity L=w*W; The evaporation water volume Eq, surface vegetation water retention Eb, maximum water retention capacity Lmax, historical maximum precipitation Rmax, minimum surface precipitation Rmin in historical disasters and accidents, and future precipitation R of future rainfall are retrieved from the slag body of the waste dump. The evaporation water volume Eq and surface vegetation water retention Eb are retrieved by: obtaining the location information of the waste dump; establishing a connection with a corresponding historical hydrological database according to the location information; retrieving the evaporation water volume Eq and surface vegetation water retention Eb corresponding to the waste dump from the historical hydrological database; the maximum water retention capacity Lmax is obtained by retrieving the maximum water retention capacity experimental data calculated and stored in the hygroscopic water experimental equipment, wherein the calculation and storage of the maximum water retention capacity experimental data , including: using the hygroscopic water experimental equipment to receive the total weight W of the slag body of the abandoned slag field; using the hygroscopic water experimental equipment to absorb water to saturation on the slag body sample of the abandoned slag field and measure the first average weight W1; using the hygroscopic water experimental equipment to dry the slag body sample and measure the second average weight W2; using the hygroscopic water experimental equipment to calculate and store the maximum water holding capacity Lmax of the abandoned slag field, the maximum water holding capacity Lmax=(W1-W2) / W2*W; the retrieval of the future precipitation R includes: obtaining the location information of the abandoned slag field; establishing a connection with the corresponding meteorological bureau database according to the location information; retrieving the predicted future precipitation R corresponding to the abandoned slag field from the meteorological bureau database; Simulate and calculate the saturated precipitation Ra of the waste dump, wherein the saturated precipitation Ra=Lmax-L+Eq+Eb; Based on the historical maximum precipitation Rmax and the saturated precipitation Ra, a stability evaluation report of the waste dump is generated, and in response to determining that Rmax<Ra, a safety evaluation report is generated; in response to determining that Ra≤Rmax<1.2Ra, a first-level evaluation report is generated; in response to determining that 1.2Ra≤Rmax<1.5Ra, a second-level evaluation report is generated; in response to determining that Rmax≥1.5Ra, a third-level evaluation report is generated; in response to determining that Rmin≤R, an early warning report is output; in response to determining that R>Ra, a first forecast report is generated, the first forecast report containing information that future rainfall will form groundwater and surface water draining the waste dump; in response to determining that R≤Ra, a second forecast report is generated, the second forecast report containing information that future rainfall will remain inside the waste dump.

2. A rainfall simulation and prediction system for a waste dump, comprising: A collection module is provided at the waste dump, and is configured to collect the water holding capacity L of the waste dump slag body at present. The collection module comprises: a receiving antenna, and is configured to receive the total weight W of the waste dump slag body; a hygrometer, and a probe of the hygrometer is provided inside the waste dump slag body, and the hygrometer is configured to measure the humidity w of the waste dump slag body at present; a calculation module, and is electrically connected to the receiving antenna and the hygrometer, and is configured to calculate the water holding capacity L, and the water holding capacity L=w*W; a transmitting antenna, and is electrically connected to the calculation module, and is configured to send out the water holding capacity L of the waste dump slag body at present; The retrieval module is configured to retrieve the evaporation water Eq of the slag body of the abandoned slag field, the water retention capacity of the surface vegetation Eb, the maximum water retention capacity Lmax, the highest historical precipitation Rmax, the minimum surface precipitation Rmin in historical disasters and accidents, and the future precipitation R of future rainfall. The retrieval of the evaporation water Eq and the water retention capacity of the surface vegetation Eb includes: obtaining the location information of the abandoned slag field; establishing a connection with the corresponding historical hydrological database according to the location information; retrieving the evaporation water Eq and the water retention capacity of the surface vegetation Eb corresponding to the abandoned slag field from the historical hydrological database; the maximum water retention capacity Lmax is obtained by retrieving the maximum water retention capacity experimental data calculated and stored in the hygroscopic water experimental equipment, wherein the maximum water retention capacity experimental data The calculation and storage include: using the hygroscopic water experimental equipment to receive the total weight W of the slag body of the abandoned slag field; using the hygroscopic water experimental equipment to absorb water to saturation on the slag body sample of the abandoned slag field and measure the first average weight W1; using the hygroscopic water experimental equipment to dry the slag body sample and measure the second average weight W2; using the hygroscopic water experimental equipment to calculate and store the maximum water holding capacity Lmax of the abandoned slag field, the maximum water holding capacity Lmax = (W1-W2) / W2*W; the retrieval of the future precipitation R includes: obtaining the location information of the abandoned slag field; establishing a connection with the corresponding meteorological bureau database according to the location information; and retrieving the predicted future precipitation R corresponding to the abandoned slag field from the meteorological bureau database; A simulation module is communicatively connected to the acquisition module and electrically connected to the retrieval module, and is configured to simulate and calculate the saturated precipitation Ra of the waste dump, wherein the saturated precipitation Ra=Lmax-L+Eq+Eb; The prediction module is electrically connected to the simulation module and is configured to generate a stability evaluation report of the waste dump based on the historical maximum precipitation Rmax and the saturated precipitation Ra, and generate a safety evaluation report in response to determining that Rmax<Ra; generate a first-level evaluation report in response to determining that Ra≤Rmax<1.2Ra; generate a second-level evaluation report in response to determining that 1.2Ra≤Rmax<1.5Ra; generate a third-level evaluation report in response to determining that Rmax≥1.5Ra; output an early warning report in response to determining that Rmin≤R; generate a first prediction report in response to determining that R>Ra, the first prediction report containing information that future rainfall will form groundwater and surface water to discharge the waste dump; generate a second prediction report in response to determining that R≤Ra, the second prediction report containing information that future rainfall will remain inside the waste dump.

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