Cost maintenance method and device for mining equipment, equipment, medium and product

Abstract

The embodiment of the invention provides a cost maintenance method and device for mining equipment, equipment, a medium and a product, and the method comprises the steps: obtaining at least one to-be-processed image of the mining equipment in a target operation region and equipment associated data uploaded by the mining equipment for at least one piece of mining equipment; determining the equipment health degree of the mining equipment according to the at least one to-be-processed image and an original image of the mining equipment in an initial state under the condition of determining that the mining equipment is in an available state according to the at least one to-be-processed image and the equipment associated data; and determining a maintenance plan of the mining equipment according to the equipment health degree of the mining equipment and the cost estimation function of the mining equipment. According to the technical scheme of the embodiment of the invention, the maintenance plan of the mining equipment is determined by combining the image of the mining equipment and the equipment associated data, the cost maintenance accuracy of the mining equipment is improved, and the working efficiency of the mining equipment is improved.

Description

Technical Field

[0001] The embodiments of the present disclosure relate to the field of mining equipment maintenance, and in particular to a method, device, equipment, medium and product for cost maintenance of mining equipment. Background Art

[0002] With the development of industrialization, more and more mining equipment has higher technical level and complexity, so the requirements for the cost maintenance of mining equipment are getting higher and higher. In addition, most mining equipment has been overhauled many times, and the internal structure or connection relationship of the equipment may have been changed many times, which puts forward higher requirements for the cost maintenance of mining equipment.

[0003] The current method for cost maintenance of mining equipment is mainly to use manual judgment based on previous cost maintenance experience of mining equipment and a large amount of relevant information or maintenance records to perform cost maintenance of mining equipment.

[0004] When implementing the technical solution based on the above method, the inventor found the following problems:

[0005] The above method is based on manual experience and judgment, and is unable to combine the current equipment parameters on the market for accurate cost calculation and maintenance. There are problems such as low cost calculation accuracy and impact on the working efficiency of mining equipment. Summary of the invention

[0006] The embodiments of the present disclosure provide a method, apparatus, equipment, medium and product for cost maintenance of mining equipment, so as to determine a maintenance plan for the mining equipment by combining images of the mining equipment and equipment-related data, thereby improving the accuracy of cost calculation of the mining equipment and the working efficiency of the mining equipment.

[0007] In a first aspect, an embodiment of the present disclosure provides a cost maintenance method for mining equipment, the method comprising:

[0008] For at least one mining device, obtaining at least one image to be processed of the mining device in a target operation area and device-related data uploaded by the mining device;

[0009] When it is determined that the mining equipment is in an available state according to the at least one image to be processed and the equipment-associated data, the equipment health of the mining equipment is determined according to the at least one image to be processed and an original image of the mining equipment in an initial state;

[0010] A maintenance plan for the mining equipment is determined according to the equipment health of the mining equipment and a cost estimation function of the mining equipment.

[0011] In a second aspect, an embodiment of the present invention further provides a cost maintenance device for mining equipment, the device comprising:

[0012] An image and data acquisition module, used for acquiring, for at least one mining device, at least one image to be processed of the mining device in a target operation area and device-related data uploaded by the mining device;

[0013] A health determination module, configured to determine the equipment health of the mining equipment according to the at least one image to be processed and an original image of the mining equipment in an initial state, when it is determined that the mining equipment is in an available state according to the at least one image to be processed and the equipment-associated data;

[0014] The maintenance plan determination module is used to determine the maintenance plan of the mining equipment according to the equipment health of the mining equipment and the cost estimation function of the mining equipment.

[0015] In a third aspect, an embodiment of the present invention further provides an electronic device, the electronic device comprising:

[0016] one or more processors;

[0017] A storage device for storing one or more programs;

[0018] When the one or more programs are executed by the one or more processors, the one or more processors implement the cost maintenance method for mining equipment as described in any one of the embodiments of the present invention.

[0019] In a fourth aspect, an embodiment of the present invention further provides a storage medium comprising computer executable instructions, wherein the computer executable instructions, when executed by a computer processor, are used to execute the cost maintenance method for mining equipment as described in any one of the embodiments of the present invention.

[0020] In a fifth aspect, an embodiment of the present invention further provides a computer program product, which, when executed by a processor, implements a cost maintenance method for mining equipment as described in any one of the embodiments of the present invention.

[0021] The technical solution provided by the embodiment of the present disclosure obtains at least one image to be processed of the mining equipment in the target operation area and the equipment-related data uploaded by the mining equipment for at least one mining equipment. Then, when it is determined that the mining equipment is in an available state based on at least one image to be processed and the equipment-related data, the equipment health of the mining equipment is determined based on at least one image to be processed and the original image of the mining equipment in the initial state. Finally, the maintenance plan of the mining equipment is determined based on the equipment health of the mining equipment and the cost estimation function of the mining equipment, which solves the problem of low accuracy of equipment cost calculation in the prior art that the cost maintenance of mining equipment is carried out by manual judgment based only on the previous cost maintenance experience of mining equipment and related information or maintenance records. Furthermore, when determining the maintenance plan of mining equipment, accurate cost maintenance is not considered in combination with the current equipment parameters on the market, resulting in the problem of soaring maintenance costs of mining equipment due to erroneous judgments. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0023] Figure 1 It is a flowchart of a cost maintenance method for mining equipment provided by an embodiment of the present disclosure;

[0024] Figure 2 It is a flowchart of a cost maintenance method for mining equipment provided by an embodiment of the present disclosure;

[0025] Figure 3 It is a cost maintenance architecture diagram of a mining equipment provided by an embodiment of the present disclosure;

[0026] Figure 4 It is a flowchart of a cost maintenance method for mining equipment provided by an embodiment of the present disclosure;

[0027] Figure 5 It is a structural schematic diagram of a cost maintenance device for mining equipment provided by an embodiment of the present disclosure;

[0028] Figure 6 It is a structural schematic diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0029] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain 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 construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0030] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0031] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0032] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0033] It is understandable that before using the technical solutions disclosed in the embodiments of the present disclosure, the types, scope of use, usage scenarios, etc. of the personal information involved in the present disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0034] For example, in response to receiving an active request from a user, a prompt message is sent to the user to clearly prompt the user that the operation requested to be performed will require obtaining and using the user's personal information. Thus, the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, application, server, or storage medium that performs the operation of the technical solution of the present disclosure according to the prompt message.

[0035] As an optional but non-limiting implementation, in response to receiving an active request from the user, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0036] It is understandable that the above notification and the process of obtaining user authorization are merely illustrative and do not constitute a limitation on the implementation of the present disclosure. Other methods that meet the relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0037] It is understandable that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and relevant provisions.

[0038] Before introducing the technical solutions provided by the embodiments of the present disclosure, an example description of the application scenarios of the embodiments of the present disclosure may be given.

[0039] The solution provided by the embodiment of the present invention can be applied in any scenario where it is necessary to calculate the health of mining equipment to determine whether the mining equipment requires cost maintenance. Optionally, the cost maintenance behavior can be based on the cost estimation function and combined with the current equipment parameters on the market to perform accurate cost maintenance in the scenario.

[0040] Embodiment 1

[0041] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0042] Figure 1 It is a flow chart of a cost maintenance method for mining equipment provided by an embodiment of the present disclosure. The embodiment of the present disclosure is applicable to the situation of determining the maintenance plan of mining equipment. The method can be executed by a cost maintenance device for mining equipment, which can be implemented in the form of software and / or hardware, and optionally, by an electronic device, which can be a mobile terminal, a PC or a server. The technical solution provided by the embodiment of the present disclosure can be executed based on the client, can be executed based on the server, or can be executed based on the cooperation of the client and the server.

[0043] The electronic device can execute the cost maintenance method for mining equipment provided by the technical solution.

[0044] like Figure 1 As shown, the method includes:

[0045] S110. For at least one mining device, obtain at least one to-be-processed image of the mining device in a target operation area and device-related data uploaded by the mining device.

[0046] The mining equipment in the target operation area refers to the mining equipment in the operation area where the user operates in the mine, and includes at least one of an excavator, a loader, a mining truck, a rock drill, a drilling rig, a ventilator, a drainage device, and a belt conveyor.

[0047] The image to be processed may be an image taken by a staff member through a camera device, or an image taken by a camera device deployed in a mine. The camera device deployed in a mine is installed in a safe area in the mine, and may be deployed at the location where the mining equipment is parked, at the intersection where the mining equipment passes, at the location where the mining equipment is working, etc., to capture images of components when the mining equipment is started, images of components when the mining equipment is in working state, and images of components after the mining equipment is finished working. The embodiments of the present disclosure do not specifically limit this. The captured image to be processed of the mining equipment is used to compare with the original image of the mining equipment in the initial state using tools such as image analysis for subsequent analysis and processing.

[0048] It should be noted that in specific application scenarios, the image to be processed can be acquired in real time or periodically, or, when it is detected that a user uploads an image or a shooting device in a mine uploads an image, the image can be acquired and used as the image to be processed. The embodiments of the present disclosure do not specifically limit this.

[0049] Among them, equipment-related data refers to the parameter data of mining equipment-related components collected by various sensors installed on the equipment. The sensors installed on the equipment can sense the measured information and convert this information into electrical signals or other required forms of information output according to certain rules to meet the requirements of information transmission, display, recording and control. There are many types of sensors installed on mining equipment, such as wheel speed sensors, temperature sensors, pressure sensors, knock sensors, speed sensors, thermal sensors, pressure and force sensors, etc. After obtaining the parameter data collected by the sensor, use tools such as data analysis to perform subsequent analysis and processing of equipment-related data.

[0050] Optionally, the mining equipment includes excavators, loaders, mining trucks, rock drills, drilling rigs, ventilators, drainage equipment, and belt conveyors; the equipment-associated data include: hydraulic system parameters, bucket parameters, engine operating parameters, and hydraulic oil temperature parameters corresponding to the excavator; tire parameters, gearbox parameters, and loading arm parameters corresponding to the loader; tire parameters, suspension system parameters, and brake system parameters corresponding to the mining truck; drill bit parameters, impact piston parameters, and hydraulic system parameters corresponding to the rock drill; drill rod parameters, drill bit parameters, and rotating device parameters corresponding to the drilling rig; blade parameters, motor parameters, and control system parameters corresponding to the ventilator; water pump parameters, motor parameters, and pipeline system parameters corresponding to the drainage equipment; and belt parameters and drive parameters corresponding to the belt conveyor.

[0051] Among them, the hydraulic system parameters of the excavator include parameter indicators such as the working pressure, flow, working speed, power, diameter, stroke and displacement of the hydraulic cylinder. The hydraulic system parameters of the excavator are obtained by using a variety of sensors such as pressure sensors, flow sensors and speed sensors. After obtaining the equipment-related data obtained by using a variety of sensors such as pressure sensors, flow sensors and speed sensors, tools such as data analysis are used to analyze and process the equipment-related data.

[0052] Among them, the bucket parameters of the excavator mainly include capacity, that is, the volume of materials that the bucket can hold; size, that is, the length, width and height data of the bucket; weight, that is, the weight of the bucket itself; material, that is, the material of the bucket, etc. The bucket parameters of the excavator are obtained using a variety of sensors such as weight sensors and distance sensors. After obtaining the equipment-related data obtained by various sensors such as weight sensors and distance sensors, tools such as data analysis are used to analyze and process the equipment-related data.

[0053] Among them, the engine operating parameters of the excavator mainly include engine temperature parameters and engine vibration frequency parameters. The temperature parameters of the excavator engine can be measured in real time using a temperature sensor, and the vibration frequency parameters of the excavator engine can be measured in real time using a vibration sensor. After obtaining the device-related data obtained by various sensors such as temperature sensors and vibration sensors, tools such as data analysis are used to analyze and process the device-related data.

[0054] Among them, the hydraulic oil temperature parameter of the excavator refers to the temperature of the hydraulic oil of the excavator. The hydraulic oil temperature of the excavator is normal when it is 60-80℃, and the maximum temperature of the hydraulic oil generally does not exceed 100℃. The hydraulic oil temperature of the excavator can be measured in real time using a temperature sensor. After obtaining the equipment-related data obtained using the temperature sensor, tools such as data analysis are used to analyze and process the equipment-related data.

[0055] Among them, the tire parameters of the loader mainly include parameters such as tire size, load capacity, and speed. The tire size parameters of the loader are usually composed of parameters such as width, diameter, and section height. The tire load capacity of the loader is usually expressed by the load index, and different tire models have different maximum load capacities. The tire speed of the loader refers to the speed of the tire when in use. The tire parameters of the loader are mainly obtained using various sensors such as speed sensors and weight sensors. After obtaining the equipment-related data obtained using various sensors such as speed sensors and weight sensors, tools such as data analysis are used to analyze and process the equipment-related data.

[0056] Among them, the main function of the loader's gearbox is to change the transmission ratio between the diesel engine and the wheels, thereby changing the loader's travel speed and traction to meet the needs of the loader's operation and travel; enable the loader to travel in reverse; cut off the power transmitted to the traveling device to facilitate the engine's start and stop safety. The gearbox parameters of the loader mainly include parameters such as temperature. The cooling system dissipates heat from the loader's gearbox through radiators, fans and other equipment to prevent overheating damage. The temperature parameters of the loader's gearbox are mainly obtained using temperature sensors. After obtaining the device-related data obtained using the temperature sensor, tools such as data analysis are used to analyze and process the device-related data.

[0057] Among them, the loading arm parameters of the loader mainly include arm length, arm width, arm thickness and other parameters. The arm length of the loader is one of the important parameters. According to the arm length, the loader arm can be divided into standard arm, high lift arm and super high lift arm. The arm width and thickness of the loader are also important parameters. These parameters directly affect the stability and carrying capacity of the loader. Generally speaking, the larger the width and thickness of the arm, the stronger the stability and carrying capacity of the loader. The arm length, arm width, arm thickness and other parameters of the loader are mainly obtained using length sensors. After obtaining the equipment-related data obtained using the length sensor, tools such as data analysis are used to analyze and process the equipment-related data.

[0058] Among them, the tire parameters of mining trucks mainly include section width, rim diameter, load factor, etc. The section width of the mining truck indicates the contact width between the tire and the ground, which affects the stability and grip of the vehicle. This parameter is measured using a length sensor. The rim diameter of the mining truck indicates the diameter of the matching rim to ensure that the tire can be correctly installed on the wheel hub. This parameter is measured using a length sensor. The load factor of the mining truck indicates the load-bearing capacity of the tire, which affects the service life and safety of the tire. This parameter is measured using a weight sensor. After obtaining the equipment-related data obtained using the length sensor and the weight sensor, use tools such as data analysis to analyze and process the equipment-related data.

[0059] Among them, the suspension system parameters of mining trucks mainly include the following parameters: shock absorber parameters: The main function of shock absorbers is to reduce the impact of road vibration on mining trucks and protect the safety and integrity of vehicles and cargo. They are usually installed in the suspension system of mining trucks, connecting the axle and body of mining trucks. Spring parameters: Springs are used to support the weight of the vehicle and provide comfort. Stabilizer bar parameters: Stabilizer bar is a device used to enhance the stability of the truck, usually installed between the upper and lower links of the suspension system. When the vehicle is turning, the stabilizer bar can prevent the body from rolling excessively and ensure driving safety. Axle parameters: The axle is the pillar connecting the wheel and the suspension system. They are usually made of aluminum alloy or other lightweight materials to reduce the weight of the vehicle and improve fuel efficiency. Ball head parameters: The ball head allows the axle to rotate freely in the suspension system, allowing the truck to adapt to different driving conditions. Shock absorber parameters: The function of the shock absorber is to control the movement of the suspension system and reduce the vibration of the vehicle during driving. They are usually installed between the axle and the body and absorb vibration through hydraulic principles. Wheel and tire parameters: Wheels and tires are also important components of the truck suspension system. The suspension system parameters of mining trucks are mainly measured by sensors such as wheel speed sensors, temperature sensors, pressure sensors, and knock sensors. After obtaining the equipment-related data obtained by sensors such as wheel speed sensors, temperature sensors, pressure sensors, and knock sensors, tools such as data analysis are used to analyze and process the equipment-related data.

[0060] Among them, the braking system of mining trucks usually uses hydraulic braking to brake, and both the front and rear axles use wet disc brakes. The braking system of mining trucks usually uses hydraulic sensors to measure parameters. After obtaining the equipment-related data using hydraulic sensors, data analysis tools are used to analyze and process the equipment-related data.

[0061] Among them, the drill bit parameters of the rock drill include drilling diameter, impact energy, impact frequency, rotary torque, rotary speed and impact power. The drilling diameter is one of the main parameters of the rock drill bit, which determines the size of the hole that the drill bit can drill. For example, the drilling diameter range of the YT28 rock drill is 32mm-42mm. Parameters such as impact energy and impact frequency affect the rock drilling efficiency and effect of the rock drill. The product of impact energy and impact frequency is equal to impact power, which reflects the rock drilling ability of the rock drill. Parameters such as rotary torque and rotary speed determine the rotation force and speed of the drill bit in the rock, affecting the cutting effect and efficiency of the drill bit. These parameters jointly determine the performance and use effect of the rock drill. The drill bit parameters are crucial to improving work efficiency and reducing equipment loss. The drill bit parameters of the rock drill are mainly measured by sensors such as speed sensors, frequency sensors, and distance sensors. After obtaining the device-related data using sensors such as speed sensors, frequency sensors, and distance sensors, tools such as data analysis are used to analyze and process the device-related data.

[0062] Among them, the impact piston parameters of the rock drill mainly include impact work, impact frequency, impact power, impact speed, shaft thrust, rotation angle, torque and rotation speed. Impact work is the single impact work of the rock drill on the drill tail, which is equal to the product of the compressed air (hydraulic) pressure, the effective area of ​​the piston and the stroke. The impact frequency refers to the number of times the piston impacts the drill tail per minute. The impact power refers to the working capacity of the rock drill, which is determined by the product of the impact energy and the impact frequency. The impact speed refers to the speed at which the piston hits the drill tail. The shaft thrust refers to the axial thrust that can eliminate the reaction force and vibration and achieve the best drilling speed. The rotation angle is the rotation angle of the rotating mechanism after one drilling. The torque is the torsional moment when the drill rod rotates. The rotation speed is the number of rotations of the drill rod per minute. The impact piston parameters of the rock drill are mainly measured by sensors such as speed sensors, torque sensors, and frequency sensors. After obtaining the equipment-related data using sensors such as speed sensors, torque sensors, and frequency sensors, tools such as data analysis are used to analyze and process the equipment-related data.

[0063] Among them, the hydraulic system parameters of the rock drill mainly include pressure, flow, flushing water pressure, compressed air pressure for lubrication and compressed air flow. The pressure parameters of the hydraulic system of the rock drill mainly include impact oil pressure and rotary oil pressure. For example, the impact oil pressure of the hydraulic system of a rock drill is 2025MPa, and the rotary oil pressure is 1520MPa1. Flow parameters include impact flow and rotary flow. For example, the impact flow and rotary flow of a rock drill are 30-60L / min and 20-40L / min12 respectively. The hydraulic system parameters of the rock drill also include flushing water pressure and compressed air pressure for lubrication. The flushing water pressure of a rock drill is 12MPa, the compressed air pressure for lubrication is 0.2MPa, and the compressed air flow is 56L / s12. Other parameters include the charging pressure of the accumulator, flushing water pressure and lubrication air pressure. The hydraulic system parameters of the rock drill are mainly measured by sensors such as pressure sensors and flow sensors. After obtaining the device-related data using sensors such as pressure sensors and flow sensors, tools such as data analysis are used to analyze and process the device-related data.

[0064] Among them, the drill rod parameters of the drilling rig include parameters such as diameter, length and wall thickness. The diameter of the drill rod of the drilling rig usually has specifications such as Φ34.0mm, Φ42.0mm, Φ50.0mm, Φ63.5mm, Φ73.0mm, Φ89.0mm, etc. The length of the drill rod of the drilling rig usually has different specifications such as 0.5m, 0.8m, 1.0m, 1.5m, etc. The wall thickness of the drill rod of the drilling rig is generally 9-11mm and is made of seamless steel pipe. The drill rod parameters of the drilling rig are mainly measured by sensors such as laser ranging sensors and length sensors. After obtaining the device-related data using sensors such as laser ranging sensors and length sensors, tools such as data analysis are used to analyze and process the device-related data.

[0065] Among them, the drill bit parameters of the drilling rig include parameters such as drill bit diameter, drill bit length, drill bit shank diameter, drill bit blade length, drill bit minor diameter, and drill bit major diameter. The diameter of the drill bit determines the size of the hole diameter it is suitable for. Drill bits of different diameters are suitable for holes of different sizes. The total length of the drill bit includes the shank and the blade. For example, the total length of the M3 drill bit is 65mm. The diameter of the drill bit shank is used to connect with the drilling rig. For example, the shank diameter of the M3 drill bit is 6.4mm. The drill bit blade length is the length of the cutting part of the drill bit. For example, the blade length of the M3 drill bit is 35mm. The drill bit minor diameter is the minimum diameter of the cutting part of the drill bit. For example, the minor diameter of the M3 drill bit is 3.4mm. The drill bit major diameter is the maximum diameter of the cutting part of the drill bit. For example, the major diameter of the M3 drill bit is 6.4mm. The drill bit parameters of the drilling rig are mainly measured by sensors such as laser ranging sensors and length sensors. After obtaining the equipment-related data using sensors such as laser ranging sensors and length sensors, data analysis tools are used to analyze and process the equipment-related data.

[0066] Among them, the rotary device of the drilling rig mainly includes a turntable, which transmits the power of the engine to the downhole drilling tool, drives the drill bit to rotate, drills out the wellbore, supports the weight of all casing strings or drill pipe strings in the well when drilling, and completes the auxiliary work of unloading the drill bit, unbuckling, back-up and buckle making when handling accidents. The parameters of the turntable mainly include the through-hole diameter, maximum static load and maximum working torque of the turntable of the rotary machine. The through-hole diameter of the turntable is the main geometric parameter of the turntable, which should be at least 10mm larger than the diameter of the largest drill bit used in the first drilling. The maximum static load is the maximum weight that the turntable can bear, which should match the maximum hook load of the drilling rig. The maximum working torque is the maximum torque of the turntable at the lowest speed. The parameters of the turntable of the drilling rig are mainly measured by sensors such as laser ranging sensors, torque sensors and weight sensors. After obtaining the equipment-related data using sensors such as laser ranging sensors, torque sensors and weight sensors, tools such as data analysis are used to analyze and process the equipment-related data.

[0067] Among them, the blade parameters of the fan mainly include blade inclination, blade rotation, blade length, blade width, number of blades and blade thickness. The blade inclination refers to the angle between the blade and the impeller rotation axis. Common inclination angles are greater than 90 degrees, less than 90 degrees and equal to 90 degrees. Each inclination reflects the relationship between the blade and the impeller rotation direction. Blade rotation refers to the direction of blade rotation. The impeller rotation direction of a general centrifugal fan is consistent with the blade rotation direction. Looking at the fan from one end of the motor, the impeller rotating in a clockwise direction is called a fan, and vice versa is called a "left-hand" fan. The length of the blade directly affects the air volume and pressure of the fan. Longer blades can provide greater thrust, but also increase noise and energy consumption. The width of the blade determines the flow capacity of the fan. Wider blades can increase airflow, but may reduce the efficiency of the fan. Number of blades: The number of blades has a significant impact on the performance of the fan. Usually, the impeller of a centrifugal fan has 2, 4, 6 or 8 blades. The thickness of the blade affects its rigidity and strength. Thicker blades can withstand higher pressures, but may increase weight and cost. The selection and design of these parameters need to be determined according to the specific application requirements and working environment to ensure the best performance and long-term reliability of the fan. The blade parameters of the fan are mainly measured by sensors such as speed sensors, length sensors, and angle sensors. After obtaining the device-related data using sensors such as speed sensors, length sensors, and angle sensors, tools such as data analysis are used to analyze and process the device-related data.

[0068] Among them, the motor parameters of the fan mainly include air volume, air pressure, power, efficiency, speed, etc. Air volume refers to the amount of air flowing through the fan per unit time. The air pressure of the fan is divided into static pressure, dynamic pressure and total pressure. Static pressure refers to the pressure energy obtained after a unit volume of gas flows through the fan, dynamic pressure refers to the kinetic energy obtained after a unit volume of gas flows through the fan, and total pressure refers to the total energy obtained after a unit volume of gas flows through the fan. Power includes shaft power and effective power. Shaft power is the power required to drive the fan, in KW; effective power refers to the energy obtained by the gas from the fan per unit time. Efficiency includes total efficiency and static efficiency. Full efficiency refers to the ratio of the effective power of the fan to the shaft power, and static efficiency uses static pressure instead of total pressure in the above formula. Speed ​​is the number of revolutions per minute of the fan impeller, in r / min. The motor parameters of the fan are mainly measured by sensors such as speed sensors and power sensors. After obtaining the device-related data using sensors such as speed sensors and power sensors, tools such as data analysis are used to analyze and process the device-related data.

[0069] The control system parameters of the fan include flow rate and noise. Flow rate refers to the amount of air flowing through the fan per unit time, and the commonly used unit is m 3 / s、m 3 / min、m 3 / h. The size of fan noise and vibration is also the main technical indicator of the fan. The control system parameters of the fan are mainly measured by sensors such as flow sensors and noise sensors. After obtaining the device-related data using sensors such as flow sensors and noise sensors, tools such as data analysis are used to analyze and process the device-related data.

[0070] The pump parameters of drainage equipment include flow rate, head, power, efficiency, allowable vacuum height or required NPSH and speed. Flow rate refers to the volume or mass of water delivered from the pump outlet and into the pipeline per unit time. Commonly used units are cubic meters per hour (m 3 / h), cubic meters per second (m 3 / s) and liters per second (L / s). Head refers to the energy increase of unit weight of water from the inlet to the outlet of the pump, usually expressed as H, and the unit is meter (m). Power refers to the effective power and shaft power of the pump, and the unit is kilowatt (kW). Effective power refers to the power transferred to the output water flow by the pump, also known as output power; shaft power refers to the power received by the pump shaft, also known as input power. The power on the pump nameplate corresponds to the power when passing the design flow, also known as rated power. The efficiency of the pump is the ratio of the effective power of the pump to the shaft power of the pump, which indicates the degree of effective energy utilization of the pump. The efficiency on the pump nameplate corresponds to the efficiency when passing the design flow, which is the limit efficiency of the pump. The allowable suction vacuum height or the required cavitation margin is a parameter that characterizes the cavitation performance of the vane pump and is used to determine the installation elevation of the pump. The unit is meter. Speed ​​refers to the number of revolutions of the pump shaft per minute, expressed as n, and the unit is revolutions per minute (r / min). The speed on the nameplate is the design speed of the pump, also known as the rated speed. The pump parameters of the drainage equipment are mainly measured by flow sensors, power sensors, efficiency sensors, speed sensors and other sensors. After obtaining the equipment-related data using sensors such as flow sensors, power sensors, efficiency sensors and speed sensors, data analysis tools are used to analyze and process the equipment-related data.

[0071] Among them, the motor parameters of the drainage equipment include power, voltage, current, speed, frequency, efficiency, torque, weight, size and other parameters. Power indicates the magnitude of the force generated by the motor. Voltage indicates the working voltage of the motor. Current indicates the magnitude of the current when the motor is working. Speed ​​indicates the rotation speed of the motor rotor. Frequency indicates the frequency of the AC or DC power supply. Efficiency (indicates the efficiency of the motor in converting input energy into output energy. Torque indicates the ability of the motor to generate torque. Weight indicates the weight of the motor. Size indicates the overall size of the motor. The motor parameters of the drainage equipment are mainly measured by sensors such as torque sensors, power sensors, voltage sensors, current sensors and speed sensors. After obtaining the device-related data using sensors such as torque sensors, power sensors, voltage sensors, current sensors and speed sensors, tools such as data analysis are used to analyze and process the device-related data.

[0072] Among them, the pipe system parameters of the drainage equipment mainly include the inner diameter, length, and design flow rate of the pipe. Inner diameter and length: The inner diameter of the drainage pipe ranges from 100mm to 3000mm, and the length is from 1m to 20m. Design flow rate: Sewage pipe: The minimum design flow rate is 0.6m / s, and the maximum design flow rate is 5m / s. The pipe system parameters of the drainage equipment are mainly measured by sensors such as laser ranging sensors, flow velocity sensors, and length sensors. After obtaining the equipment-related data using sensors such as laser ranging sensors, flow velocity sensors, and length sensors, tools such as data analysis are used to analyze and process the equipment-related data.

[0073] Among them, the belt parameters of the belt conveyor include parameters such as width and conveying speed. The width of the belt usually ranges from 20mm to 2000mm, and the specific width can be customized according to demand. The conveying speed of the belt is generally 0.1~10M / min, and the speed can be adjusted or constant according to demand. The speed regulation methods include variable frequency speed regulation, electromagnetic speed regulation, electronic speed regulation and mechanical speed regulation. The belt parameters of the belt conveyor are mainly measured by sensors such as length sensors and speed sensors. After obtaining the equipment-related data using sensors such as length sensors and speed sensors, tools such as data analysis are used to analyze and process the equipment-related data.

[0074] Among them, the driving parameters of the belt conveyor mainly include motor power, conveying capacity, maximum conveying length, etc. Motor power is an important parameter of the drive system, which determines the driving capacity and efficiency of the conveyor. For example, the motor power of the belt conveyor of the DTS80 / 40 / 2*40S model is 2.0kW, while the motor power of the DTL100 / 80 / 160S model is 2.5kW. The conveying capacity refers to the conveying capacity of the conveyor per unit time, usually in tons / hour (t / h). For example, the conveying capacities of DTS80 / 40 / 2*40S and DTL100 / 80 / 160S are 50t / h and 80t / h1 respectively. The maximum conveying length refers to the maximum distance that the conveyor can continuously convey, usually in meters. For example, the maximum conveying length of DTS80 / 40 / 2*40S is 800m. The driving parameters of the belt conveyor are mainly measured by sensors such as length sensors, power sensors and length sensors. After obtaining the device-related data using sensors such as length sensors, power sensors, and length sensors, tools such as data analysis are used to analyze and process the device-related data.

[0075] Specifically, for mining equipment in a mine, the staff uses a camera to obtain images of each mining equipment, and uses various sensors to obtain equipment-related data of each mining equipment. After obtaining the images of the mining equipment and the equipment-related data, subsequent operations are performed.

[0076] For example, the belt images of the belt conveyor before, during and after operation are obtained, and the belt parameters and drive parameters of the belt conveyor collected by the sensor are obtained. The application of these sensors on the belt conveyor can monitor the belt parameters and drive parameters of the belt conveyor in real time, which not only improves the automation level of the belt conveyor, but also ensures the safe operation and efficient operation of the belt conveyor.

[0077] S120. When it is determined that the mining equipment is in an available state based on at least one image to be processed and equipment-related data, determine the equipment health of the mining equipment based on at least one image to be processed and an original image of the mining equipment in an initial state.

[0078] Among them, when the equipment is in a state where it can perform the predetermined function, regardless of whether it is in operation or the level of its efficiency value, the equipment is in an available state; when the equipment fails and cannot perform the specified function, the equipment is in an unavailable state.

[0079] The original image in the initial state is an original image of the device just out of the factory and not in use. The original image can be a previously stored original image of the device, or an unused original image of the same model device obtained using crawler data.

[0080] Among them, equipment health is to evaluate the degree to which the equipment deviates from the normal operating state. By evaluating the health status of the equipment, it can provide decision-making basis and technical support for equipment maintenance and management; equipment health assessment is a quantitative estimation of the current health status of the equipment, which helps to understand the actual operating status of the equipment and carry out necessary maintenance and management.

[0081] Specifically, it is possible to determine whether the mining equipment is in an available state based on the images of the equipment taken by the camera device and the equipment-related data collected by the sensor every day. If the equipment is in an unavailable state, the health of the equipment is not considered at this time. If the equipment is in an available state at this time, the equipment health of the mining equipment is determined based on at least one image to be processed and the original image of the mining equipment in the initial state.

[0082] S130. Determine a maintenance plan for the mining equipment based on the equipment health of the mining equipment and a cost estimation function of the mining equipment.

[0083] Among them, when the equipment is in an available state and the calculated health of the equipment is lower than the reference health, a series of calculations are performed on the cost estimation of the equipment using the cost estimation function. In the embodiment of the present invention, the cost estimation function refers to a function that describes the relationship between the cost and output of mining equipment. The most commonly used method for estimating the cost estimation function is to use a set of data on output and cost that are actually collected for regression analysis. This method is more objective, and the information obtained through it is more complete and accurate.

[0084] Among them, when the health of the equipment is lower than the reference health, the staff will use the cost estimation function to regularly calculate the benefits of the equipment. This benefit calculation plan is part of the maintenance plan. In addition, the maintenance plan also includes: for equipment below the reference health, the staff will link with the scheduling of the engineering department staff and arrange relevant colleagues in the engineering department to inspect the equipment at the specified time. In addition, the equipment photos taken during the inspection and the relevant equipment data collected are also part of the equipment maintenance plan.

[0085] Specifically, after calculating the equipment health, compare it with the equipment reference health. If the equipment health is higher than the equipment reference health, it proves that the equipment is running well and can be ignored. If the equipment health is lower than the reference health, start the cost estimation function of the mining equipment and determine the maintenance plan of the mining equipment.

[0086] The technical solution provided by the embodiment of the present disclosure obtains at least one image to be processed of the mining equipment in the target operation area and the equipment-related data uploaded by the mining equipment for at least one mining equipment. Then, when it is determined that the mining equipment is in an available state based on at least one image to be processed and the equipment-related data, the equipment health of the mining equipment is determined based on at least one image to be processed and the original image of the mining equipment in the initial state. Finally, the maintenance plan of the mining equipment is determined based on the equipment health of the mining equipment and the cost estimation function of the mining equipment, which solves the problem of low accuracy of equipment cost calculation in the prior art that the cost maintenance of mining equipment is carried out by manual judgment based only on the previous cost maintenance experience of mining equipment and related information or maintenance records. Furthermore, when determining the maintenance plan of mining equipment, accurate cost maintenance is not considered in combination with the current equipment parameters on the market, resulting in the problem of soaring maintenance costs of mining equipment due to erroneous judgments.

[0087] Embodiment 2

[0088] Figure 2The present invention provides a flow chart of a cost maintenance method for mining equipment. Based on the above embodiment, the specific implementation method 120 is described in detail. The specific implementation method can refer to the technical solution of this embodiment. The technical terms that are the same or corresponding to the above embodiment are not repeated here.

[0089] like Figure 2 As shown, the method specifically comprises the following steps:

[0090] S210. For at least one mining device, obtain at least one to-be-processed image of the mining device in a target operation area and device-related data uploaded by the mining device.

[0091] S220. Determine a component wear degree parameter of at least one component of the mining equipment based on at least one image to be processed and an image of the mining equipment in an unusable state; or, determine a component wear degree parameter of at least one component of the mining equipment based on equipment-associated data and an unusable parameter of the mining equipment in an unusable state.

[0092] Among them, as the use time of mining equipment increases, its various components will experience corresponding wear. The wear degree parameter of the component refers to the value of the degree of component loss caused by friction or use of various components of mining equipment.

[0093] Specifically, Figure 3 As shown, the original sampling data of the corresponding parts of each device in the electromechanical energy equipment group of a mine is obtained. The original sampling data can be the image to be processed or / and the associated data of the mining equipment. The image to be processed and the associated data of the mining equipment are analyzed and processed in the loss calculation center. When the image to be processed is analyzed in the loss calculation center, it is compared with the image of the corresponding parts of the mining equipment in an unavailable state through technologies such as AI image recognition and video analysis. Technologies such as AI image recognition and video analysis use artificial intelligence technology to process, analyze and understand images to identify targets and objects of various different modes. This technology converts images into digital information that can be understood by computers, and then analyzes and identifies this information through a series of complex algorithms. For example, after obtaining an image of a drill bit through a camera device, it is compared with an image of the drill bit of this model in an unavailable state. Computer image visual analysis technology can be used to analyze different images of the drill bit to obtain the wear degree parameters of the drill bit, and then the wear degree parameters of the drill bit are transmitted back to the loss calculation center.

[0094] It should also be noted that when the original sampling data of a certain equipment component in the electromechanical energy equipment group of a certain mine is obtained as the associated data of the mining equipment, the associated data of the mining equipment is also analyzed and processed in the loss calculation center. When the associated data of a certain component of the equipment is analyzed in the loss calculation center, it is compared with the associated data of the corresponding component of the mining equipment in an unavailable state through the corresponding algorithm. For example, after using sensors to measure the engine temperature and vibration of the excavator, it is compared with the engine temperature and vibration data of the excavator of this model in an unavailable state. By analyzing the different data, the wear degree parameters of the engine temperature and vibration data can be obtained. Then, the necessary sensors should be installed for measurement, and then the engine temperature and vibration wear degree parameters should be transmitted back to the loss calculation center.

[0095] S230: When the component wear degree parameter includes a preset parameter, it is determined that the mining equipment is in an unusable state.

[0096] The preset parameter is a parameter value that defines the wear degree parameter of the equipment component. If the wear degree parameter of the component includes the preset parameter, the component is in an unusable state, and the equipment is also determined to be in an unusable state.

[0097] Specifically, if a certain component of the mining equipment is in an unusable state, then the mining equipment is in an unusable state, that is, the unusability of a certain equipment component can determine the unusability of the equipment. For example, assuming that the image of the belt taken is close to the image of the belt being in an unusable state, the belt wear degree parameter determined by the video analysis technology includes the preset parameter, then the belt is in an unusable state.

[0098] Based on the above technical solutions, if a component of a device is in an unusable state, then the device is in an unusable state. At this time, a replacement plan is triggered, such as Figure 3 As shown in the figure, the cost calculation center outputs the replacement plan, and the data support for the replacement plan comes from the loss calculation center. The output data of the cost calculation center includes: the current health of the equipment, the loss data of the equipment, and purchase opinions. For example, if the belt is in an unusable state, then its health is output, and a series of belt photos from its entry into the factory to the unusable state are displayed. At the same time, the purchase opinions obtained by the data crawler are also output. For example, a certain model of belt from a certain manufacturer is configured, and the performance indicators, adaptability, operation indicators and price of the belt are explained.

[0099] S240: When the component wear degree parameters do not include preset parameters, determine that the mining equipment is in an available state.

[0100] Specifically, when the wear degree parameters of various components of the equipment do not include the preset parameters, it proves that the mining equipment operates well and is in a usable state.

[0101] S250: Determine, based on at least one image to be processed and the original image, a component health corresponding to at least one component of the mining equipment in the image to be processed.

[0102] Specifically, if the mining equipment is in a usable state at this time, when calculating the health of a certain component of the mining equipment, the health of a certain component of the mining equipment is determined based on at least one captured component image and an original image of the corresponding component of the mining equipment in an initial state. For example, for a certain belt, after processing and analyzing the current image of the belt and the original belt image through artificial intelligence technology, it can be obtained that the current corresponding health of the belt is 80%.

[0103] S260: Determine the equipment health of the mining equipment based on the health of at least one component of the mining equipment.

[0104] Specifically, for a device, the health of each component is first calculated, and then the value is multiplied by the weight value of the component in the device, and finally all the multiplied results are added together to obtain the health of the device.

[0105] For example, assume that a device A consists of three components: 1, 2, and 3. Assume that the health of component 1 is 80%, the health of component 2 is 80%, and the health of component 3 is 60%, and component 1 accounts for 50% of the weight of the device, component 2 accounts for 25% of the weight of the device, and component 3 accounts for 25% of the weight of the device, then the health of device A is 75%.

[0106] S270. Determine a maintenance plan for the mining equipment based on the equipment health of the mining equipment and the cost estimation function of the mining equipment.

[0107] The technical solution of the embodiment of the present disclosure determines, based on at least one image to be processed and an image of a device in which the mining equipment is in an unusable state, a component wear degree parameter of at least one component of the mining equipment, or, based on device-associated data and an unusable parameter of the mining equipment in an unusable state, determines a component wear degree parameter of at least one component of the mining equipment; further, when a preset parameter is included in the component wear degree parameter, it is determined that the mining equipment is in an unusable state; when the preset parameter is not included in the component wear degree parameter, it is determined that the mining equipment is in an available state; further, based on at least one image to be processed and an original image, a component health degree corresponding to at least one component of the mining equipment in the image to be processed is determined; then, based on the health degree of at least one component of the mining equipment, the equipment health degree of the mining equipment is determined; finally, based on the equipment health degree of the mining equipment and a cost estimation function of the mining equipment, a maintenance plan for the mining equipment is determined. The advantage of determining the maintenance plan for mining equipment based on the above method is that the wear degree parameter is determined by the processed image of the mining equipment and the equipment-related data, which improves the accuracy of identifying the available and unavailable states of the equipment. Furthermore, the maintenance plan for mining equipment is determined based on the equipment health of the mining equipment and the cost estimation function of the mining equipment, and accurate cost maintenance is performed in combination with the current equipment parameters on the market, thereby improving the accuracy of cost maintenance.

[0108] Embodiment 3

[0109] Figure 4 The present invention provides a flow chart of a cost maintenance method for mining equipment. Based on the above embodiment, the specific implementation method 130 is described in detail. The specific implementation method can refer to the technical solution of this embodiment. The technical terms that are the same or corresponding to the above embodiment are not repeated here.

[0110] like Figure 4 As shown, the method specifically comprises the following steps:

[0111] S310: For at least one mining device, obtain at least one to-be-processed image of the mining device in a target operation area and device-related data uploaded by the mining device.

[0112] S320. When it is determined that the mining equipment is in an available state based on at least one image to be processed and equipment-associated data, determine the equipment health of the mining equipment based on at least one image to be processed and an original image of the mining equipment in an initial state.

[0113] S330: When the equipment health is less than the reference health, determine a first cost for working with the mining equipment and a second cost for updating the mining equipment.

[0114] The reference health is a certain value of health that is artificially determined. If the health of the equipment is less than the reference health, it means that although the equipment is usable, some indicators have become abnormal, and continued use may result in a waste of resources and funds. The determination of this value is not only related to the geological conditions, mining difficulty, and distribution density of the mine where the equipment is located, but also to the information of similar equipment on the market.

[0115] It should be noted that mining equipment with a health level lower than the reference health level will enter a key supervision state. The system constantly calculates the ratio of the economic benefits and production efficiency of continuing to use the equipment and replacing it with a new one, providing more specific data for customers to make decisions.

[0116] The first cost refers to the cost of continuing to use the device.

[0117] The second cost refers to the cost of replacing the new equipment.

[0118] Specifically, when the health of the equipment is less than the reference health, the system constantly calculates the economic benefits of continuing to use the equipment and replacing it with a new one. When calculating the economic benefits, the first cost of continuing to use the equipment and the second cost of the updated mining equipment are required.

[0119] S340: Determine a maintenance plan for the mining equipment based on the first cost, the second cost, and a cost estimation function of the mining equipment.

[0120] The cost estimation function refers to a function that obtains a cost usage value after processing the first cost and the second cost.

[0121] For example, the drilling efficiency of the drilling rig drill bit has been reduced from Speed_1 to Speed_2. If the direct cost of replacing the drill bit is Cost_1, but it can be completed Day_1 days in advance, the cost that can be saved every day is Day_Cost_1, and the cost estimation function is Cost_1-(Day_1*Day_Cost_1).

[0122] S350: After processing the first cost and the second cost according to the cost estimation function, a cost usage value is obtained.

[0123] The cost usage value is a result obtained after the cost estimation function processes the first cost and the second cost.

[0124] Exemplarily, for the cost estimation function Cost_1-(Day_1*Day_Cost_1), the result of calculating the corresponding numerical input is the cost usage value.

[0125] S360: If the cost usage value is greater than a preset threshold, determine that the maintenance plan is to update components of the mining equipment.

[0126] The preset threshold is a preset threshold that is artificially calculated and set based on the specific device and its usage environment.

[0127] Specifically, if the calculated cost usage value is greater than a preset threshold, then the maintenance plan output by the cost estimation center is to update the components of the mining equipment, indicating that updating the components at this time will bring higher benefits.

[0128] S370: If the cost usage value is less than a preset threshold, determine the maintenance plan as continuing to use the components of the mining equipment, and adjust the maintenance cycle of the components in the mining equipment.

[0129] Specifically, if the calculated cost usage value is less than the preset threshold, it means that continuing to use the equipment will not cause economic and efficiency losses, and not replacing the equipment will bring higher benefits. At this time, the maintenance plan output by the cost calculation center is to continue to use the components of the mining equipment. Because at this time, although continuing to use the equipment will not cause economic and efficiency losses, its equipment health is less than the reference health, and the equipment enters a state of focus, and the maintenance cycle of the components of the mining equipment needs to be adjusted according to the actual situation.

[0130] The technical solution of the embodiment of the present disclosure, after obtaining the equipment health of the mining equipment, when the equipment health is less than the reference health, determines the first cost when the mining equipment is working, and, based on the second cost of updating the mining equipment, further, determines the maintenance plan of the mining equipment based on the first cost, the second cost and the cost estimation function of the mining equipment, and then, after processing the first cost and the second cost according to the cost estimation function, obtains the cost usage value, further, if the cost usage value is greater than the preset threshold, determines the maintenance plan to update the components of the mining equipment, and finally, if the cost usage value is less than the preset threshold, determines the maintenance plan to continue to use the components of the mining equipment, and adjusts the maintenance cycle of the components in the mining equipment. The advantage of determining the cost maintenance based on the above method is that when the cost usage value is greater than the preset threshold, the maintenance plan is determined to update the components of the mining equipment, and when the cost usage value is less than the preset threshold, the maintenance plan is determined to continue to use the components of the mining equipment, and adjusts the maintenance cycle of the components in the mining equipment, achieving the effect of accurate intelligent calculation, which can improve the accuracy of the cost maintenance of mining equipment.

[0131] Embodiment 4

[0132] Figure 5 Schematic diagram of a cost maintenance device for mining equipment provided by an embodiment of the present disclosure. Figure 5As shown, the device includes: an image and data acquisition module 410, a health determination module 420 and a maintenance plan determination module 430.

[0133] An image and data acquisition module 410 is used to acquire, for at least one mining device, at least one image to be processed of the mining device in a target operation area and device-related data uploaded by the mining device;

[0134] A health determination module 420 is used to determine the equipment health of the mining equipment according to the at least one image to be processed and an original image of the mining equipment in an initial state, when it is determined that the mining equipment is in an available state according to the at least one image to be processed and the equipment-associated data;

[0135] The maintenance plan determination module 430 is used to determine the maintenance plan of the mining equipment according to the equipment health of the mining equipment and the cost estimation function of the mining equipment.

[0136] On the basis of the above-mentioned technical solutions, the image and data acquisition module 410 includes: the mining equipment includes excavators, loaders, mining trucks, rock drills, drilling rigs, ventilators, drainage equipment, and belt conveyors; the equipment-related data includes: hydraulic system parameters, bucket parameters, engine operating parameters, and hydraulic oil temperature parameters corresponding to the excavator; tire parameters, gearbox parameters, and loading arm parameters corresponding to the loader; tire parameters, suspension system parameters, and brake system parameters corresponding to the mining truck; drill bit parameters, impact piston parameters, and hydraulic system parameters corresponding to the rock drill; drill rod parameters, drill bit parameters, and rotating device parameters corresponding to the drilling rig; blade parameters, motor parameters, and control system parameters corresponding to the ventilator; water pump parameters, motor parameters, and pipeline system parameters corresponding to the drainage equipment; belt parameters and drive parameters corresponding to the belt conveyor.

[0137] Based on the above technical solutions, the health determination module 420 includes: a component wear parameter determination submodule, a device unavailable state determination submodule, a device available state determination submodule, a component health determination submodule and a device health determination submodule, including:

[0138] A component wear degree parameter determination submodule is used to determine a component wear degree parameter of at least one component of the mining equipment based on at least one image to be processed and a device image of the mining equipment in an unusable state; or, based on device-related data and an unusable parameter of the mining equipment in an unusable state, determine a component wear degree parameter of at least one component of the mining equipment;

[0139] The equipment unavailable state determination submodule is used to determine that the mining equipment is in an unavailable state when the component wear degree parameter includes a preset parameter;

[0140] The equipment availability status determination submodule is used to determine that the mining equipment is in an available state when the component wear degree parameters do not include the preset parameters;

[0141] A component health determination submodule, used to determine the component health corresponding to at least one component of the mining equipment in the image to be processed according to at least one image to be processed and the original image;

[0142] The equipment health determination submodule is used to determine the equipment health of the mining equipment based on the health of at least one component of the mining equipment.

[0143] Based on the above technical solutions, the maintenance plan determination module 430 includes: a basis determination submodule, a maintenance plan determination submodule, a cost use value determination submodule, a component update submodule and a maintenance cycle adjustment submodule, including:

[0144] A determination submodule is used to determine a first cost of working according to the mining equipment when the equipment health is less than a reference health, and a second cost of updating the mining equipment;

[0145] A maintenance plan determination submodule, used to determine a maintenance plan for the mining equipment based on the first cost, the second cost and a cost estimation function of the mining equipment;

[0146] A cost usage value determination submodule, configured to obtain a cost usage value after processing the first cost and the second cost according to the cost estimation function;

[0147] A component updating submodule, for determining that the maintenance plan is to update the components of the mining equipment if the cost usage value is greater than a preset threshold;

[0148] The maintenance cycle adjustment submodule is used to determine the maintenance plan as continuing to use the components of the mining equipment if the cost usage value is less than a preset threshold, and adjust the maintenance cycle of the components in the mining equipment.

[0149] The technical solution provided by the embodiment of the present disclosure obtains at least one image to be processed and the equipment-related data uploaded by the mining equipment in the target operation area for at least one mining equipment. Then, when it is determined that the mining equipment is in an available state based on at least one image to be processed and the equipment-related data, the equipment health of the mining equipment is determined based on at least one image to be processed and the original image of the mining equipment in the initial state. Finally, the maintenance plan of the mining equipment is determined based on the equipment health of the mining equipment and the cost estimation function of the mining equipment, which solves the problem of low accuracy of equipment cost calculation in the prior art that the cost maintenance of mining equipment is carried out by manual judgment based on the previous cost maintenance experience of mining equipment and related information or maintenance records. Furthermore, when determining the maintenance plan of mining equipment, accurate cost maintenance is not considered in combination with the current equipment parameters on the market, resulting in the problem of soaring maintenance cost of mining equipment due to wrong judgment. The cost maintenance device for mining equipment provided by the embodiment of the present disclosure can execute the cost maintenance method for mining equipment provided by any embodiment of the present disclosure, and has the corresponding functional modules and beneficial effects of the execution method.

[0150] It is worth noting that the various units and modules included in the above-mentioned device are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the embodiments of the present disclosure.

[0151] Embodiment 5

[0152] Figure 6 Schematic diagram of the structure of an electronic device provided by an embodiment of the present disclosure. Figure 6 , which shows an electronic device (eg, Figure 6 The terminal device in the embodiment of the present disclosure may include but is not limited to mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 6 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0153] like Figure 6As shown, the electronic device 500 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage device 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic device 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An edit / output (I / O) interface 505 is also connected to the bus 504.

[0154] Typically, the following devices may be connected to the I / O interface 505: an input device 506 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 507 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 508 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 509. The communication device 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 5 The electronic device 500 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0155] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device 509, or installed from a storage device 508, or installed from a ROM 502. When the computer program is executed by the processing device 501, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

[0156] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0157] The electronic device provided in the embodiment of the present disclosure and the cost maintenance method for mining equipment provided in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0158] Embodiment 6

[0159] An embodiment of the present disclosure provides a computer storage medium having a computer program stored thereon. When the program is executed by a processor, the cost maintenance method for mining equipment provided by the above embodiment is implemented.

[0160] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0161] In some embodiments, the server can communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and can be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0162] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0163] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device:

[0164] For at least one mining device, obtaining at least one image to be processed of the mining device in a target operation area and device-related data uploaded by the mining device;

[0165] When it is determined that the mining equipment is in an available state according to the at least one image to be processed and the equipment-associated data, the equipment health of the mining equipment is determined according to the at least one image to be processed and an original image of the mining equipment in an initial state;

[0166] A maintenance plan for the mining equipment is determined according to the equipment health of the mining equipment and a cost estimation function of the mining equipment.

[0167] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including, but not limited to, object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0168] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0169] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware, wherein the name of a unit does not, in some cases, constitute a limitation on the unit itself.

[0170] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0171] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0172] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0173] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0174] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

Claims

1. A cost maintenance method for mining equipment, characterized in that: include: For at least one mining device, obtaining at least one image to be processed of the mining device in a target operation area and device-related data uploaded by the mining device; When it is determined that the mining equipment is in an available state according to the at least one image to be processed and the equipment-associated data, the equipment health of the mining equipment is determined according to the at least one image to be processed and an original image of the mining equipment in an initial state; A maintenance plan for the mining equipment is determined according to the equipment health of the mining equipment and a cost estimation function of the mining equipment.

2. The method according to claim 1, characterized in that The mining equipment includes excavators, loaders, mining trucks, rock drills, drilling rigs, ventilators, drainage equipment, and belt conveyors; The device-related data includes: Hydraulic system parameters, bucket parameters, engine operating parameters and hydraulic oil temperature parameters corresponding to the excavator; Tire parameters, gearbox parameters and loading arm parameters corresponding to the loader; Tire parameters, suspension system parameters and brake system parameters corresponding to the mining truck; Drill bit parameters, impact piston parameters and hydraulic system parameters corresponding to the rock drill; Drill rod parameters, drill bit parameters and rotary device parameters corresponding to the drilling rig; Blade parameters, motor parameters and control system parameters corresponding to the ventilator; Water pump parameters, motor parameters and pipe system parameters corresponding to the drainage equipment; Belt parameters and drive parameters corresponding to the belt conveyor.

3. The method according to claim 1, characterized in that Determining whether the mining equipment is in a usable state includes: Determine a component wear degree parameter of at least one component of the mining equipment based on the at least one image to be processed and the device image of the mining equipment in an unusable state; or determine a component wear degree parameter of at least one component of the mining equipment based on the device-associated data and the unusable parameter of the mining equipment in an unusable state; When the component wear degree parameter includes a preset parameter, determining that the mining equipment is in an unusable state; When the preset parameter is not included in the component wear degree parameter, it is determined that the mining equipment is in an available state.

4. The method according to claim 1, characterized in that: The determining of the equipment health of the mining equipment according to the at least one image to be processed and the original image of the mining equipment in the initial state includes: Determining, according to the at least one image to be processed and the original image, a component health corresponding to at least one component of the mining equipment in the image to be processed; An equipment health of the mining equipment is determined based on the health of at least one component of the mining equipment.

5. The method according to claim 1, characterized in that Determining a maintenance plan for the mining equipment according to the equipment health of the mining equipment and the cost estimation function of the mining equipment includes: When the equipment health is less than the reference health, determining a first cost for working with the mining equipment, and a second cost for updating the mining equipment; A maintenance plan for the mining equipment is determined according to the first cost, the second cost, and a cost estimation function of the mining equipment.

6. The method according to claim 5, characterized in that Determining a maintenance plan for the mining equipment according to the first cost, the second cost and a cost estimation function of the mining equipment includes: After processing the first cost and the second cost according to the cost estimation function, a cost usage value is obtained; If the cost usage value is greater than a preset threshold, determining that the maintenance plan is to update the components of the mining equipment; If the cost usage value is less than the preset threshold, the maintenance plan is determined to continue using the components of the mining equipment, and the maintenance cycle of the components in the mining equipment is adjusted.

7. A cost maintenance device for mining equipment, characterized in that: include: An image and data acquisition module, used for acquiring, for at least one mining device, at least one image to be processed of the mining device in a target operation area and device-related data uploaded by the mining device; A health determination module, configured to determine the equipment health of the mining equipment according to the at least one image to be processed and an original image of the mining equipment in an initial state, when it is determined that the mining equipment is in an available state according to the at least one image to be processed and the equipment-associated data; The maintenance plan determination module is used to determine the maintenance plan of the mining equipment according to the equipment health of the mining equipment and the cost estimation function of the mining equipment.

8. An electronic device, characterized in that: The electronic device comprises: one or more processors; A storage device for storing one or more programs; When one or more programs are executed by one or more processors, the one or more processors implement the cost maintenance method for mining equipment as claimed in any one of claims 1 to 6.

9. A storage medium containing computer executable instructions, characterized in that: The computer executable instructions are used to execute the cost maintenance method for mining equipment as described in any one of claims 1-6 when executed by a computer processor.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the computer program implements the cost maintenance method for mining equipment as described in any one of claims 1 to 6.

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