Production optimization method and system for open-pit mine

Abstract

The present invention proposes a production optimization method and system for an open-pit mine, the method comprising: obtaining the position information of a transport vehicle using GPS, obtaining real-time environmental information using a sensor, and correcting the position information according to the environmental information to obtain the corrected position information; obtaining image information of the transport vehicle using a monitoring device, comparing the image information with the position information, and obtaining the positioning coordinates of the transport vehicle; obtaining the real-time transport volume of the transport vehicle and determining a preset speed; obtaining the real-time speed of the transport vehicle, comparing the real-time speed with the preset speed, and adjusting the real-time speed according to the comparison result; obtaining the task completion amount according to the adjusted real-time speed and the preset time, comparing the task completion amount with the preset task amount, and performing a secondary adjustment on the real-time speed. The present invention can accurately locate the transport vehicle information and adjust the vehicle running speed in real time, which is conducive to optimizing the production plan, reducing the idle time of equipment, improving resource utilization, and improving production efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of open-pit mine production, and in particular to a production optimization method and system for an open-pit mine. Background Art

[0002] An open-pit mine refers to a workplace where stripping and mining take place directly on the surface. Based on the ore body's buried conditions and the mining area's topography, open-pit mines can be categorized into two main types: hillside open-pit mines and sunken open-pit mines. Sunken open-pit mines are located above the final boundary of the open-pit mining area. Transportation is a crucial aspect of open-pit mining operations. Transport trucks and production control vehicles in open-pit mines, which primarily rely on automobile transportation, are highly mobile. Therefore, counting transport truck haulage can provide a relatively intuitive understanding of an open-pit mine's production capacity. However, traditional methods of counting and dispatching transport trucks are often manual, time-consuming, and labor-intensive, and data cannot be updated in real time. This leads to lags in dispatching transport vehicles, making it difficult to timely control production progress, resulting in over-mining or under-mining, increased production costs, and wasted resources. Furthermore, the traditional method, which requires manual labor within the open-pit mine, poses certain safety risks.

[0003] Therefore, a production optimization method and system for open-pit mines are needed to solve the problems of time-consuming and labor-intensive production, potential safety hazards, and increased costs caused by the inability to adjust production plans in a timely manner in traditional open-pit mine production technologies. Summary of the Invention

[0004] In view of this, the present invention proposes a production optimization method and system for an open-pit mine, aiming to solve the problems of data lag and waste of manpower and material resources in the current production process of open-pit mines.

[0005] In one aspect, the present invention provides a method for optimizing production in an open pit mine, comprising:

[0006] Using GPS to obtain the location information of the transport vehicle, using sensors to obtain real-time environmental information, and correcting the location information according to the environmental information to obtain corrected location information;

[0007] Using monitoring equipment to obtain image information of the transport vehicle, comparing the image information with the position information, and obtaining the positioning coordinates of the transport vehicle based on the comparison result;

[0008] Obtaining the real-time transport volume of the transport vehicle and determining a preset speed;

[0009] Obtaining the real-time speed of the transport vehicle, comparing the real-time speed with a preset speed, and adjusting the real-time speed according to the comparison result;

[0010] The task completion amount is obtained according to the adjusted real-time speed and the preset time, the task completion amount is compared with the preset task amount, and the real-time speed is adjusted a second time according to the comparison result.

[0011] Furthermore, the correcting the location information according to the environmental information to obtain corrected location information includes:

[0012] The environmental information includes dust content ΔH and ambient temperature ΔW;

[0013] A first preset dust content H1, a second preset dust content H2, a third preset dust content H3 and a fourth preset dust content H4 are preset, and H1<H2<H3<H4;

[0014] A first preset temperature W1, a second preset temperature W2, a third preset temperature W3 and a fourth preset temperature W4 are preset, and W1<W2<W3<W4;

[0015] A first preset correction coefficient A1, a second preset correction coefficient A2, a third preset correction coefficient A3 and a fourth preset correction coefficient A4 are preset, and A1<A2<A3<A4;

[0016] According to the relationship between the dust content ΔH and each preset dust content, a preset correction coefficient Ai is selected to correct the position information ΔD;

[0017] When H1≤△H<H2, select the first preset correction coefficient A1 to correct △D, and obtain the corrected position information as △D*A1;

[0018] When H2≤△H<H3, the second preset correction coefficient A2 is selected to correct △D, and the corrected position information is obtained as △D*A2;

[0019] When H3≤△H<H4, the third preset correction coefficient A3 is selected to correct △D, and the corrected position information is obtained as △D*A3;

[0020] When H4≤ΔH, the fourth preset correction coefficient A4 is selected to correct ΔD, and the corrected position information is obtained as ΔD*A4.

[0021] Furthermore, after selecting the i-th preset correction coefficient Ai (i=1, 2, 3, 4) to correct △D based on the relationship between △H and each preset dust content Hi (i=1, 2, 3, 4), and obtaining the corrected position information △D*Ai, the preset correction coefficient Ai is selected based on the relationship between the ambient temperature △W and each preset temperature to further correct the corrected position information △D*Ai;

[0022] When W1≤△W<W2, select the first preset correction coefficient A1 to correct △D*Ai again, and obtain the corrected position information as △D*Ai*A1;

[0023] When W2≤△W<W3, select the second preset correction coefficient A2 to correct △D*Ai again, and obtain the corrected position information as △D*Ai*A2;

[0024] When W3≤△W<W4, select the third preset correction coefficient A3 to correct △D*Ai again, and obtain the corrected position information as △D*Ai*A3;

[0025] When W4≤ΔW, the fourth preset correction coefficient A4 is selected to correct ΔD*Ai again, and the corrected position information obtained is ΔD*Ai*A4.

[0026] Furthermore, after selecting the i-th preset correction coefficient Ai (i=1, 2, 3, 4) to correct ΔD*Ai based on the relationship between ΔW and each preset temperature Wi (i=1, 2, 3, 4), and obtaining the corrected position information ΔD*Ai*Ai, the image information is compared with the position information, and the positioning coordinates of the transport vehicle are obtained according to the comparison result, including:

[0027] A first preset difference C1, a second preset difference C2, a third preset difference C3 and a fourth preset difference C4 are preset, and C1<C2<C3<C4;

[0028] A first correction coefficient B1, a second correction coefficient B2, a third correction coefficient B3 and a fourth correction coefficient B4 are preset, and B1<B2<B3<B4;

[0029] A marker is set in advance, and the image information is used to determine the distance J0 between the transport vehicle and the marker. The distance J1 to the marker is determined based on the position information △D*Ai*Ai. The size relationship between |J0-J1| and each preset difference is compared, and a correction coefficient is selected to correct the position information △D*Ai*Ai to obtain the position information.

[0030] Furthermore, the comparison of |J0-J1| with the respective preset difference values, selecting a correction coefficient to correct the position information △D*Ai*Ai, and obtaining the position information includes:

[0031] When C1≤|J0-J1|<C2, select the first correction coefficient B1 to correct △D*Ai*Ai, and the position information obtained after correction is △D*Ai*Ai*B1;

[0032] When C2≤|J0-J1|<C3, select the second correction coefficient B2 to correct △D*Ai*Ai, and the position information obtained after correction is △D*Ai*Ai*B2;

[0033] When C3≤|J0-J1|<C4, the third correction coefficient B3 is selected to correct △D*Ai*Ai. After correction, the position information obtained is △D*Ai*Ai*B3.

[0034] When C4≤|J0-J1|, the fourth correction coefficient B4 is selected to correct ΔD*Ai*Ai, and the position information obtained after correction is ΔD*Ai*Ai*B4.

[0035] Furthermore, obtaining the real-time transport volume of the transport vehicle and determining the preset speed includes:

[0036] A first preset speed V1, a second preset speed V2, a third preset speed V3 and a fourth preset speed V4 are preset, and V1 < V2 < V3 < V4;

[0037] A first preset transport volume Y1, a second preset transport volume Y2, a third preset transport volume Y3 and a fourth preset transport volume Y4 are preset, and Y1 < Y2 < Y3 < Y4;

[0038] According to the relationship between the real-time transport volume △Y of the transport vehicle and each preset transport volume, the initial preset speed of the transport vehicle is selected;

[0039] When Y1≤△Y<Y2, the fourth preset speed V4 is selected as the initial preset speed of the transport vehicle;

[0040] When Y2≤△Y<Y3, the third preset speed V3 is selected as the initial preset speed of the transport vehicle;

[0041] When Y3≤△Y<Y4, the second preset speed V2 is selected as the initial preset speed of the transport vehicle;

[0042] When Y4≤ΔY, the first preset speed V1 is selected as the initial preset speed of the transport vehicle.

[0043] Furthermore, after selecting the i-th preset speed Vi (i=1, 2, 3, 4) as the initial preset speed of the transport vehicle, comparing the real-time speed ΔV with the preset speed Vi, and adjusting the real-time speed according to the comparison result, including:

[0044] The first adjustment coefficient E1, the second adjustment coefficient E2, the third adjustment coefficient E3 and the fourth adjustment coefficient E4 are preset, and E1<E2<E3<E4;

[0045] When 0.2Vi≤△V<0.5Vi, the fourth adjustment coefficient E4 is selected to adjust the real-time speed △V, and the adjusted real-time speed is obtained as △V*E4;

[0046] When 0.5Vi≤△V<0.7Vi, the third adjustment coefficient E3 is selected to adjust the real-time speed △V, and the adjusted real-time speed is obtained as △V*E3;

[0047] When 0.7Vi≤△V≤Vi, the second adjustment coefficient E2 is selected to adjust the real-time speed △V, and the adjusted real-time speed is obtained as △V*E2;

[0048] When Vi<△V, the first adjustment coefficient E1 is selected to adjust the real-time speed △V, and the adjusted real-time speed is obtained as △V*E1.

[0049] Furthermore, after selecting the i-th adjustment coefficient Ei (i=1, 2, 3, 4) to adjust the real-time speed △V and obtaining the adjusted real-time speed △V*Ei, the following is further included:

[0050] The minimum task volume threshold R1 and the maximum task volume threshold R2 are pre-set, and R1<0.7*R2<R2;

[0051] The task completion amount ΔV*Ei*T0 is obtained according to the adjusted real-time speed ΔV*Ei and the preset time T0, the task completion amount is compared with the preset task amount, and the real-time speed is adjusted twice according to the comparison result.

[0052] Furthermore, the second adjustment of the real-time speed according to the comparison result includes:

[0053] When △V*Ei*T0<R1, the fourth adjustment coefficient E4 is selected to perform a secondary adjustment on the adjusted real-time speed △V*Ei, and the adjusted real-time speed is obtained as △V*Ei*E4;

[0054] When R1≤△V*Ei*T0<0.7*R2, the third adjustment coefficient E3 is selected to perform a secondary adjustment on the adjusted real-time speed △V*Ei, and the adjusted real-time speed is obtained as △V*Ei*E3;

[0055] When 0.7*R2≤△V*Ei*T0≤R2, select the second adjustment coefficient E2 to make a secondary adjustment to the adjusted real-time speed △V*Ei, and obtain the adjusted real-time speed as △V*Ei*E2;

[0056] When R2<ΔV*Ei*T0, the first adjustment coefficient E1 is selected to perform a secondary adjustment on the adjusted real-time speed ΔV*Ei, and the adjusted real-time speed is obtained as ΔV*Ei*E1.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] Using GPS technology to locate vehicle information and correct the position information according to environmental information makes positioning more accurate and reduces the impact of environmental changes; using monitoring equipment to assist in determining positioning coordinates improves the reliability of positioning data; by obtaining the transportation volume and transportation speed of transport vehicles, real-time understanding of production information is achieved, which is conducive to dispatching transport vehicles to make real-time adjustments to production progress; it is conducive to optimizing production plans, reducing equipment idle time, improving resource utilization, and improving production efficiency; and this application can detect problems and deal with them in a timely manner, reducing on-site operation time, reducing on-site operation costs, and increasing economic benefits.

[0059] On the other hand, the present invention also provides a production optimization system for an open-pit mine, comprising:

[0060] The acquisition module is used to obtain the transport vehicle's location information, real-time environmental information, image information, real-time transport volume of the transport vehicle, and real-time speed of the transport vehicle;

[0061] a processing module, configured to correct the position information according to the environmental information to obtain corrected position information; and further configured to compare the image information with the position information and obtain the positioning coordinates of the transport vehicle according to the comparison result;

[0062] The control module is used to determine the preset speed; is also used to compare the real-time speed with the preset speed and adjust the real-time speed according to the comparison result; is also used to obtain the task completion amount based on the adjusted real-time speed and the preset time, compare the task completion amount with the preset task amount, and make a second adjustment to the real-time speed according to the comparison result.

[0063] It is understandable that the above-mentioned open-pit mine production optimization method and system have the same beneficial effects, which will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0065] Figure 1 A flow chart of a production optimization method for an open-pit mine provided by an embodiment of the present invention;

[0066] Figure 2 This is a functional block diagram of a production optimization method system for an open-pit mine provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0067] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, unless there is a conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

[0068] See Figure 1 As shown, the present application provides a production optimization method for an open pit mine, comprising the following steps:

[0069] S100 uses GPS (Global Positioning System) to obtain the location information of the transport vehicle, uses sensors to obtain real-time environmental information, and corrects the location information according to the environmental information to obtain corrected location information.

[0070] S200 , using monitoring equipment to obtain image information of the transport vehicle, comparing the image information with the position information, and obtaining the positioning coordinates of the transport vehicle based on the comparison result.

[0071] S300: Obtain the real-time transport volume of the transport vehicle and determine the preset speed.

[0072] S400, obtaining the real-time speed of the transport vehicle, comparing the real-time speed with a preset speed, and adjusting the real-time speed according to the comparison result.

[0073] S500 , obtaining a task completion amount according to the adjusted real-time speed and the preset time, comparing the task completion amount with the preset task amount, and performing a second adjustment on the real-time speed according to the comparison result.

[0074] As can be understood, this application utilizes modeling technology to construct a three-dimensional model of the mining area, ensuring its accuracy through actual surveying and modification. Vehicle location information acquired using GPS technology is reflected in the three-dimensional model. This information can be in the form of coordinates, such as (xi, yi, zi), representing the position of the transport vehicle at time i. Alternatively, the three-dimensional model can be divided into several regions according to a regular pattern, with the vehicle location information ΔD acquired using GPS technology representing one of these regions. GPS-acquired location information can suffer from weak satellite reception or latency due to the locator's environment. To obtain more accurate vehicle location information, correcting this information by acquiring environmental information can effectively reduce environmental errors and improve accuracy. Accurate transport vehicle location information and transport volume enable real-time monitoring of production progress, facilitating optimization of production plans, reducing equipment idle time, improving resource utilization, and increasing production efficiency. Furthermore, this application allows for timely identification and resolution of issues, reducing field operation time and costs.

[0075] In some embodiments of the present application, the environmental information in S100 includes a dust content ΔH and an ambient temperature ΔW. Correcting the position information based on the environmental information to obtain the corrected position information includes: presetting a first preset dust content H1, a second preset dust content H2, a third preset dust content H3, and a fourth preset dust content H4, with H1 < H2 < H3 < H4. Presetting a first preset temperature W1, a second preset temperature W2, a third preset temperature W3, and a fourth preset temperature W4, with W1 < W2 < W3 < W4. Presetting a first preset correction coefficient A1, a second preset correction coefficient A2, a third preset correction coefficient A3, and a fourth preset correction coefficient A4, with A1 < A2 < A3 < A4. Based on the relationship between the dust content ΔH and each preset dust content, selecting a preset correction coefficient Ai to correct the position information ΔD.

[0076] Specifically, when H1≤△H<H2, the first preset correction coefficient A1 is selected to correct △D, and the corrected position information is △D*A1; when H2≤△H<H3, the second preset correction coefficient A2 is selected to correct △D, and the corrected position information is △D*A2; when H3≤△H<H4, the third preset correction coefficient A3 is selected to correct △D, and the corrected position information is △D*A3; when H4≤△H, the fourth preset correction coefficient A4 is selected to correct △D, and the corrected position information is △D*A4.

[0077] It is understandable that the gas detector installed on the transport vehicle can detect the dust concentration in the air around the vehicle in real time. When the concentration is high, the signal transmission path will be blocked, causing a delay in the GPS signal. Correcting the position information through a preset correction coefficient can effectively reduce dust interference, and the obtained position information is more accurate.

[0078] In some embodiments of the present application, S100 also includes selecting the i-th preset correction coefficient Ai (i=1, 2, 3, 4) to correct △D according to the relationship between △H and each preset dust content Hi (i=1, 2, 3, 4), and after obtaining the corrected position information △D*Ai, selecting the preset correction coefficient Ai to correct the corrected position information △D*Ai again according to the relationship between the ambient temperature △W and each preset temperature.

[0079] Specifically, when W1≤△W<W2, the first preset correction coefficient A1 is selected to correct △D*Ai again, and the corrected position information is △D*Ai*A1; when W2≤△W<W3, the second preset correction coefficient A2 is selected to correct △D*Ai again, and the corrected position information is △D*Ai*A2; when W3≤△W<W4, the third preset correction coefficient A3 is selected to correct △D*Ai again, and the corrected position information is △D*Ai*A3; when W4≤△W, the fourth preset correction coefficient A4 is selected to correct △D*Ai again, and the corrected position information is △D*Ai*A4.

[0080] It is understood that when the temperature changes, the wavelength of the GPS signal will decay over time, which will cause the strength and bandwidth of the GPS signal to decrease, affecting the reception and processing of the GPS signal. This will cause deviations in the location information. Therefore, this application uses experiments to determine the variation in GPS accuracy due to temperature changes. The correction coefficient is used to further correct the corrected location information △D*Ai, which helps to reduce the temperature impact and obtain more accurate location information.

[0081] In some embodiments of the present application, after selecting the i-th preset correction coefficient Ai (i=1, 2, 3, 4) to correct △D*Ai based on the relationship between △W and each preset temperature Wi (i=1, 2, 3, 4), and obtaining the corrected position information △D*Ai*Ai, S200 includes: comparing the image information and the position information, and obtaining the positioning coordinates of the transport vehicle based on the comparison results.

[0082] Specifically, a first preset difference C1, a second preset difference C2, a third preset difference C3 and a fourth preset difference C4 are pre-set, and C1<C2<C3<C4; a first correction coefficient B1, a second correction coefficient B2, a third correction coefficient B3 and a fourth correction coefficient B4 are pre-set, and B1<B2<B3<B4; a marker is pre-set, and the distance J0 between the transport vehicle and the marker is determined using image information, and the distance J1 to the marker is determined based on the position information △D*Ai*Ai, and the size relationship between |J0-J1| and each preset difference is compared, and the correction coefficient is selected to correct the position information △D*Ai*Ai to obtain the position information.

[0083] Specifically, when C1≤|J0-J1|<C2, the first correction coefficient B1 is selected to correct △D*Ai*Ai, and the position information obtained after correction is △D*Ai*Ai*B1; when C2≤|J0-J1|<C3, the second correction coefficient B2 is selected to correct △D*Ai*Ai, and the position information obtained after correction is △D*Ai*Ai*B2; when C3≤|J0-J1|<C4, the third correction coefficient B3 is selected to correct △D*Ai*Ai, and the position information obtained after correction is △D*Ai*Ai*B3; when C4≤|J0-J1|, the fourth correction coefficient B4 is selected to correct △D*Ai*Ai, and the position information obtained after correction is △D*Ai*Ai*B4.

[0084] It is understood that the image information can be images captured by monitoring equipment or image information obtained by on-board imaging equipment installed on a vehicle. Pre-set landmarks are used to determine the location. The distance J0 between the transport vehicle and the landmark is obtained through image information, and the distance J1 between the transport vehicle and the landmark is obtained through GPS. Under the same conditions, the error is smaller because the image information is closer to the vehicle. Therefore, a large value of |J0-J1| indicates that the location information obtained by GPS still contains a large error. Therefore, setting a correction coefficient to correct the location information can ensure the accuracy of the transport vehicle's positioning, improve data reliability, and provide a basis for optimizing production scheduling.

[0085] In some embodiments of the present application, S300 includes presetting a first preset speed V1, a second preset speed V2, a third preset speed V3, and a fourth preset speed V4, wherein V1<V2<V3<V4; presetting a first preset transport volume Y1, a second preset transport volume Y2, a third preset transport volume Y3, and a fourth preset transport volume Y4, wherein Y1<Y2<Y3<Y4; and selecting an initial preset speed of the transport vehicle based on a relationship between the real-time transport volume ΔY of the transport vehicle and each preset transport volume;

[0086] Specifically, when Y1≤△Y<Y2, the fourth preset speed V4 is selected as the initial preset speed of the transport vehicle; when Y2≤△Y<Y3, the third preset speed V3 is selected as the initial preset speed of the transport vehicle; when Y3≤△Y<Y4, the second preset speed V2 is selected as the initial preset speed of the transport vehicle; when Y4≤△Y, the first preset speed V1 is selected as the initial preset speed of the transport vehicle.

[0087] It is understandable that transport vehicles have transportation limitations. Under a certain load-bearing pressure, due to the existence of inertia, the speed should not be too fast. In order to fully ensure transportation safety, selecting the transportation speed based on the vehicle's real-time transportation volume is not only conducive to ensuring safety, but also helps to count production progress and facilitate real-time optimization and adjustment.

[0088] In some embodiments of the present application, after the i-th preset speed Vi (i=1, 2, 3, 4) is selected as the initial preset speed of the transport vehicle, the real-time speed ΔV is compared with the preset speed Vi in S400, and the real-time speed is adjusted according to the comparison result.

[0089] Specifically, a first adjustment coefficient E1, a second adjustment coefficient E2, a third adjustment coefficient E3 and a fourth adjustment coefficient E4 are pre-set, and E1<E2<E3<E4; when 0.2Vi≤△V<0.5Vi, the fourth adjustment coefficient E4 is selected to adjust the real-time speed △V, and the adjusted real-time speed is △V*E4; when 0.5Vi≤△V<0.7Vi, the third adjustment coefficient E3 is selected to adjust the real-time speed △V, and the adjusted real-time speed is △V*E3; when 0.7Vi≤△V≤Vi, the second adjustment coefficient E2 is selected to adjust the real-time speed △V, and the adjusted real-time speed is △V*E2; when Vi<△V, the first adjustment coefficient E1 is selected to adjust the real-time speed △V, and the adjusted real-time speed is △V*E1.

[0090] It is understandable that adjusting the transport vehicle based on the relationship between its real-time speed and the preset speed can timely detect problems, facilitate timely measures to solve problems, facilitate timely adjustment of the transport rate, and avoid production losses caused by information lag in traditional technologies.

[0091] In some embodiments, after selecting the i-th adjustment coefficient Ei (i=1, 2, 3, 4) to adjust the real-time speed ΔV and obtaining the adjusted real-time speed ΔV*Ei, S500 includes: presetting a minimum task load threshold R1 and a maximum task load threshold R2, where R1<0.7*R2<R2; obtaining a task completion amount ΔV*Ei*T0 based on the adjusted real-time speed ΔV*Ei and a preset time T0, comparing the task completion amount with the preset task load, and performing a secondary adjustment on the real-time speed based on the comparison result.

[0092] Specifically, when △V*Ei*T0<R1, the fourth adjustment coefficient E4 is selected to perform a secondary adjustment on the adjusted real-time speed △V*Ei, and the adjusted real-time speed is △V*Ei*E4; when R1≤△V*Ei*T0<0.7*R2, the third adjustment coefficient E3 is selected to perform a secondary adjustment on the adjusted real-time speed △V*Ei, and the adjusted real-time speed is △V*Ei*E3; when 0.7*R2≤△V*Ei*T0≤R2, the second adjustment coefficient E2 is selected to perform a secondary adjustment on the adjusted real-time speed △V*Ei, and the adjusted real-time speed is △V*Ei*E2; when R2<△V*Ei*T0, the first adjustment coefficient E1 is selected to perform a secondary adjustment on the adjusted real-time speed △V*Ei, and the adjusted real-time speed is △V*Ei*E1.

[0093] It can be understood that the real-time speed of the transport vehicle is adjusted secondary according to the task volume threshold. The adjusted speed can not only meet the needs of the production cycle, but also the initial transport speed selected based on the vehicle transport volume is beneficial to improving the safety factor of transportation, optimizing the production plan, reducing the idle time of equipment, improving resource utilization, and improving production efficiency.

[0094] In the above embodiment, GPS technology is used to locate vehicle information and the position information is corrected according to environmental information, so that the positioning is more accurate and the impact of environmental changes is reduced; monitoring equipment is used to assist in determining the positioning coordinates, thereby improving the reliability of the positioning data; by obtaining the transportation volume and transportation speed of the transport vehicle, real-time understanding of production information is achieved, which is conducive to dispatching transport vehicles to make real-time adjustments to the production progress; it is conducive to optimizing the production plan, reducing the idle time of equipment, improving resource utilization, and improving production efficiency; and the present application can promptly discover problems and deal with them in a timely manner, reducing on-site operation time, reducing on-site operation costs, and increasing economic benefits.

[0095] In another preferred embodiment based on the above embodiment, refer to Figure 2 As shown, this embodiment provides a production optimization system for an open-pit mine, comprising:

[0096] Acquisition module 001 is used to obtain transport vehicle location information, real-time environmental information, image information, real-time transport volume of transport vehicles, and real-time speed of transport vehicles;

[0097] Processing module 002 is used to correct the position information according to the environmental information to obtain the corrected position information; it is also used to compare the image information with the position information and obtain the positioning coordinates of the transport vehicle according to the comparison result;

[0098] Control module 003 is used to determine the preset speed; it is also used to compare the real-time speed with the preset speed and adjust the real-time speed according to the comparison result; it is also used to obtain the task completion amount based on the adjusted real-time speed and the preset time, compare the task completion amount with the preset task amount, and make a second adjustment to the real-time speed according to the comparison result.

[0099] It is understandable that the above-mentioned open-pit mine production optimization method and system have the same beneficial effects, which will not be described in detail here.

[0100] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0101] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0102] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0103] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0104] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A production optimization method for an open pit mine, characterized in that: include: Using GPS to obtain the location information of the transport vehicle, using sensors to obtain real-time environmental information, and correcting the location information according to the environmental information to obtain corrected location information; Using monitoring equipment to obtain image information of the transport vehicle, comparing the image information with the position information, and obtaining the positioning coordinates of the transport vehicle based on the comparison result; Obtaining the real-time transport volume of the transport vehicle and determining a preset speed; Obtaining the real-time speed of the transport vehicle, comparing the real-time speed with a preset speed, and adjusting the real-time speed according to the comparison result; The task completion amount is obtained according to the adjusted real-time speed and the preset time, the task completion amount is compared with the preset task amount, and the real-time speed is adjusted a second time according to the comparison result.

2. The production optimization method for an open pit mine according to claim 1, characterized in that: The step of correcting the location information according to the environmental information to obtain corrected location information includes: The environmental information includes dust content ΔH and ambient temperature ΔW; A first preset dust content H1, a second preset dust content H2, a third preset dust content H3 and a fourth preset dust content H4 are preset, and H1<H2<H3<H4; A first preset temperature W1, a second preset temperature W2, a third preset temperature W3 and a fourth preset temperature W4 are preset, and W1<W2<W3<W4; A first preset correction coefficient A1, a second preset correction coefficient A2, a third preset correction coefficient A3 and a fourth preset correction coefficient A4 are preset, and A1<A2<A3<A4; According to the relationship between the dust content ΔH and each preset dust content, a preset correction coefficient Ai is selected to correct the position information ΔD, where i=1, 2, 3, or 4: When H1≤△H<H2, select the first preset correction coefficient A1 to correct △D, and obtain the corrected position information as △D*A1; When H2≤△H<H3, the second preset correction coefficient A2 is selected to correct △D, and the corrected position information is obtained as △D*A2; When H3≤△H<H4, the third preset correction coefficient A3 is selected to correct △D, and the corrected position information is obtained as △D*A3; When H4≤ΔH, the fourth preset correction coefficient A4 is selected to correct ΔD, and the corrected position information is obtained as ΔD*A4.

3. The production optimization method for an open pit mine according to claim 2, characterized in that: After selecting the i-th preset correction coefficient Ai according to the relationship between △H and each preset dust content Hi to correct △D and obtaining the corrected position information △D*Ai, the preset correction coefficient Ai is selected according to the relationship between the ambient temperature △W and each preset temperature to correct the corrected position information △D*Ai again, where i=1, 2, 3, 4: When W1≤△W<W2, select the first preset correction coefficient A1 to correct △D*Ai again, and obtain the corrected position information as △D*Ai*A1; When W2≤△W<W3, select the second preset correction coefficient A2 to correct △D*Ai again, and obtain the corrected position information as △D*Ai*A2; When W3≤△W<W4, select the third preset correction coefficient A3 to correct △D*Ai again, and obtain the corrected position information as △D*Ai*A3; When W4≤ΔW, the fourth preset correction coefficient A4 is selected to correct ΔD*Ai again, and the corrected position information obtained is ΔD*Ai*A4.

4. The production optimization method for an open pit mine according to claim 3, characterized in that: After selecting the i-th preset correction coefficient Ai according to the relationship between △W and each preset temperature Wi to correct △D*Ai and obtain the corrected position information △D*Ai*Ai, the image information is compared with the position information, and the positioning coordinates of the transport vehicle are obtained according to the comparison result, including i=1, 2, 3, 4: A first preset difference C1, a second preset difference C2, a third preset difference C3 and a fourth preset difference C4 are preset, and C1<C2<C3<C4; A first correction coefficient B1, a second correction coefficient B2, a third correction coefficient B3 and a fourth correction coefficient B4 are preset, and B1<B2<B3<B4; A marker is set in advance, and the image information is used to determine the distance J0 between the transport vehicle and the marker. The distance J1 to the marker is determined based on the position information △D*Ai*Ai. The size relationship between |J0-J1| and each preset difference is compared, and a correction coefficient is selected to correct the position information △D*Ai*Ai to obtain the position information.

5. The production optimization method for an open pit mine according to claim 4, characterized in that: The comparison of |J0-J1| with the preset difference values, selecting a correction coefficient to correct the position information △D*Ai*Ai, and obtaining the position information includes: When C1≤|J0-J1|<C2, select the first correction coefficient B1 to correct △D*Ai*Ai, and the position information obtained after correction is △D*Ai*Ai*B1; When C2≤|J0-J1|<C3, select the second correction coefficient B2 to correct △D*Ai*Ai, and the position information obtained after correction is △D*Ai*Ai*B2; When C3≤|J0-J1|<C4, the third correction coefficient B3 is selected to correct △D*Ai*Ai. After correction, the position information obtained is △D*Ai*Ai*B3. When C4≤|J0-J1|, the fourth correction coefficient B4 is selected to correct ΔD*Ai*Ai, and the position information obtained after correction is ΔD*Ai*Ai*B4.

6. The production optimization method for an open pit mine according to claim 1, characterized in that: The obtaining of the real-time transport volume of the transport vehicle and determining the preset speed includes: A first preset speed V1, a second preset speed V2, a third preset speed V3 and a fourth preset speed V4 are preset, and V1 < V2 < V3 < V4; A first preset transport volume Y1, a second preset transport volume Y2, a third preset transport volume Y3 and a fourth preset transport volume Y4 are preset, and Y1 < Y2 < Y3 < Y4; According to the relationship between the real-time transport volume △Y of the transport vehicle and each preset transport volume, the initial preset speed of the transport vehicle is selected; When Y1≤△Y<Y2, the fourth preset speed V4 is selected as the initial preset speed of the transport vehicle; When Y2≤△Y<Y3, the third preset speed V3 is selected as the initial preset speed of the transport vehicle; When Y3≤△Y<Y4, the second preset speed V2 is selected as the initial preset speed of the transport vehicle; When Y4≤ΔY, the first preset speed V1 is selected as the initial preset speed of the transport vehicle.

7. The production optimization method for an open pit mine according to claim 6, characterized in that: After selecting the i-th preset speed Vi as the initial preset speed of the transport vehicle, the real-time speed ΔV is compared with the preset speed Vi, and the real-time speed is adjusted according to the comparison result, including i=1, 2, 3, 4: The first adjustment coefficient E1, the second adjustment coefficient E2, the third adjustment coefficient E3 and the fourth adjustment coefficient E4 are preset, and E1<E2<E3<E4; When 0.2Vi≤△V<0.5Vi, the fourth adjustment coefficient E4 is selected to adjust the real-time speed △V, and the adjusted real-time speed is obtained as △V*E4; When 0.5Vi≤△V<0.7Vi, the third adjustment coefficient E3 is selected to adjust the real-time speed △V, and the adjusted real-time speed is obtained as △V*E3; When 0.7Vi≤△V≤Vi, the second adjustment coefficient E2 is selected to adjust the real-time speed △V, and the adjusted real-time speed is obtained as △V*E2; When Vi<△V, the first adjustment coefficient E1 is selected to adjust the real-time speed △V, and the adjusted real-time speed is obtained as △V*E1.

8. The production optimization method for an open pit mine according to claim 7, characterized in that: After selecting the i-th adjustment coefficient Ei to adjust the real-time speed △V and obtaining the adjusted real-time speed △V*Ei, it also includes i=1,2,3,4: The minimum task volume threshold R1 and the maximum task volume threshold R2 are pre-set, and R1<0.7*R2<R2; The task completion amount ΔV*Ei*T0 is obtained according to the adjusted real-time speed ΔV*Ei and the preset time T0, the task completion amount is compared with the preset task amount, and the real-time speed is adjusted twice according to the comparison result.

9. The production optimization method for an open pit mine according to claim 8, characterized in that: The second adjustment of the real-time speed according to the comparison result includes: When △V*Ei*T0<R1, the fourth adjustment coefficient E4 is selected to perform a secondary adjustment on the adjusted real-time speed △V*Ei, and the adjusted real-time speed is obtained as △V*Ei*E4; When R1≤△V*Ei*T0<0.7*R2, the third adjustment coefficient E3 is selected to perform a secondary adjustment on the adjusted real-time speed △V*Ei, and the adjusted real-time speed is obtained as △V*Ei*E3; When 0.7*R2≤△V*Ei*T0≤R2, select the second adjustment coefficient E2 to make a secondary adjustment to the adjusted real-time speed △V*Ei, and obtain the adjusted real-time speed as △V*Ei*E2; When R2<ΔV*Ei*T0, the first adjustment coefficient E1 is selected to perform a secondary adjustment on the adjusted real-time speed ΔV*Ei, and the adjusted real-time speed is obtained as ΔV*Ei*E1.

10. A production optimization system for an open pit mine, characterized in that: include: The acquisition module is used to obtain the transport vehicle's location information, real-time environmental information, image information, real-time transport volume of the transport vehicle, and real-time speed of the transport vehicle; A processing module, configured to correct the location information according to the environmental information to obtain corrected location information; It is also used to compare the image information with the position information and obtain the positioning coordinates of the transport vehicle based on the comparison result; The control module is used to determine the preset speed; is also used to compare the real-time speed with the preset speed and adjust the real-time speed according to the comparison result; is also used to obtain the task completion amount based on the adjusted real-time speed and the preset time, compare the task completion amount with the preset task amount, and make a second adjustment to the real-time speed according to the comparison result.

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