Coal mining evaluation method, device and equipment and computer readable storage medium
By acquiring and calculating coal mining indicators and their weight coefficients, the problem of lack of effective coal mining evaluation methods in the existing technology is solved, and the accurate evaluation of coal mining levels is achieved and the elimination of coal mines with low-quality mining levels is promoted, which has promoted the production reduction, quality improvement and efficiency improvement of coal mining.
Patent Information
- Application Number
- CN202311503396.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-13
- Publication Date
- 2025-05-13
AI Technical Summary
The lack of effective coal mining evaluation methods in the prior art makes it difficult to achieve production reduction, quality improvement and efficiency improvement in coal mining.
By obtaining multiple coal mining indicators and their weight coefficients, unilateral mining level assessment of each coal mining indicator, and performing summation operations, the mining level assessment results of the target coal are obtained to confirm its mining level.
Accurate evaluation of coal mining levels has been achieved, coal mines with low-quality mining levels can be eliminated, and coal mining can be reduced, improve quality and efficiency.
Smart Images
Figure CN119990501A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of coal mining, and in particular to the field of coal mining evaluation technology. Background Art
[0002] At present, coal mining is transforming from increasing quantity to improving quality. In order to achieve production reduction, quality improvement and efficiency increase, it is necessary to conduct high-quality evaluation of coal mining to facilitate the elimination of backward production capacity and improve high-quality coal mining. However, there is currently no effective method for evaluating coal mining in the industry. Summary of the invention
[0003] The present invention provides a coal mining evaluation method, device, equipment and storage medium.
[0004] According to a first aspect of the present disclosure, a coal mining evaluation method is provided. The method comprises:
[0005] Obtain multiple coal mining indicators of target coal;
[0006] Obtaining a weight coefficient of each coal mining indicator among the plurality of coal mining indicators;
[0007] The mining level of the target coal is evaluated according to the plurality of coal mining indicators and the weight coefficient of each coal mining indicator.
[0008] According to the above aspects and any possible implementation manner, an implementation manner is further provided, wherein the evaluating the mining level of the target coal according to the multiple coal mining indicators and the weight coefficient of each coal mining indicator comprises:
[0009] Multiplying each coal mining indicator by a weight coefficient of each coal mining indicator to obtain a unilateral mining level assessment corresponding to each coal mining indicator;
[0010] Performing a sum operation on the unilateral mining level assessments corresponding to the coal mining indicators to obtain a mining level assessment result of the target coal;
[0011] The mining level of the target coal is confirmed according to the mining level assessment result of the target coal.
[0012] According to the above aspects and any possible implementation manner, an implementation manner is further provided, wherein the evaluating the mining level of the target coal according to the multiple coal mining indicators and the weight coefficient of each coal mining indicator comprises:
[0013] Determine the priority of each coal mining indicator;
[0014] Selecting a target coal mining indicator with a priority higher than a preset priority from the coal mining indicators;
[0015] Multiplying the target coal mining index by the weight coefficient of the target coal mining index to obtain a mining level assessment result of the target coal;
[0016] The mining level of the target coal is confirmed according to the mining level assessment result of the target coal.
[0017] According to the above aspects and any possible implementation manner, an implementation manner is further provided, wherein the step of confirming the mining level of the target coal according to the mining level assessment result of the target coal comprises:
[0018] If the mining level assessment result of the target coal is not greater than the first mining threshold, confirming that the mining level of the target coal is the first mining level;
[0019] If the mining level assessment result of the target coal is greater than the first mining threshold and less than the second mining threshold, confirming that the mining level of the target coal is the second mining level;
[0020] If the mining level assessment result of the target coal is greater than the third mining threshold and less than the fourth mining threshold, confirming that the mining level of the target coal is the third mining level;
[0021] If the mining level assessment result of the target coal is greater than the fifth mining threshold and less than the sixth mining threshold, the mining level of the target coal is confirmed to be the fourth mining level, wherein the first mining threshold is less than the second mining threshold, the second mining threshold is less than the third mining threshold, the third mining threshold is less than the fourth mining threshold, the fourth mining threshold is less than the fifth mining threshold, the fifth mining threshold is less than the sixth mining threshold, the fourth mining level is better than the third mining level, the third mining level is better than the second mining level, and the second mining level is better than the first mining level.
[0022] According to the aspects described above and any possible implementation method, an implementation method is further provided, wherein the weight coefficient of each coal mining indicator is greater than a first weight threshold and less than a second weight threshold, and the sum of the weight coefficients of each coal mining indicator is equal to 1.
[0023] As described above, in any possible implementation, there is further provided an implementation, wherein the weight coefficient of each coal mining index varies according to regional distribution or market demand.
[0024] According to the above aspects and any possible implementation, an implementation is further provided, wherein the multiple coal mining indicators include: safety indicators, high efficiency indicators, green indicators and intelligent indicators; wherein:
[0025] The safety indicators include: the death rate per million tons and the number of occupational diseases;
[0026] The high efficiency indicators include: full-time employee efficiency ratio and ton coal cost price index;
[0027] The green indicators include: subsidence land treatment rate and recovery rate;
[0028] The intelligent indicators include: mining mechanization and mine digitization level.
[0029] According to a second aspect of the present disclosure, a coal mining evaluation device is provided. The device comprises:
[0030] A first acquisition module is used to acquire multiple coal mining indicators of target coal;
[0031] A second acquisition module is used to acquire a weight coefficient of each coal mining indicator among the plurality of coal mining indicators;
[0032] An evaluation module is used to evaluate the mining level of the target coal according to the multiple coal mining indicators and the weight coefficients of the coal mining indicators.
[0033] According to a third aspect of the present disclosure, an electronic device is provided, which includes a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the program, the method described above is implemented.
[0034] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the program is executed by a processor, the method according to the first aspect of the present disclosure is implemented.
[0035] In the present disclosure, by obtaining the unilateral mining level assessment corresponding to each coal mining indicator, the unilateral mining level assessment corresponding to each coal mining indicator can be summed to accurately obtain the mining level assessment result of the target coal, and then according to the mining level assessment result of the target coal, the mining level of the target coal can be accurately confirmed, thereby accurately assessing the coal mining level of the mining area where the target coal is located, so as to eliminate coal mines with low-quality mining levels.
[0036] It should be understood that the contents described in the summary of the invention are not intended to limit the key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] 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. The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, among which:
[0038] Figure 1 A flow chart of a coal mining evaluation method according to an embodiment of the present disclosure is shown;
[0039] Figure 2 A flow chart showing another coal mining evaluation method according to an embodiment of the present disclosure is shown;
[0040] Figure 3 A block diagram of a coal mining evaluation device according to an embodiment of the present disclosure is shown;
[0041] Figure 4 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION
[0042] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.
[0043] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.
[0044] Figure 1 A flow chart of a coal mining evaluation method 100 according to an embodiment of the present disclosure is shown. The method 100 may include:
[0045] Step 110, obtaining multiple coal mining indicators of the target coal;
[0046] The multiple coal mining indicators include but are not limited to: safety indicators, high efficiency indicators, green indicators and intelligent indicators; among which:
[0047] The safety indicators include: the death rate per million tons and the number of occupational diseases;
[0048] The high efficiency indicators include: the total staff efficiency ratio and the ton coal cost price index; the total staff efficiency ratio can be the quotient of the total coal output mined in one year and the total number of people in the unit.
[0049] The green indicators include: subsidence land treatment rate and recovery rate;
[0050] The subsidence land treatment rate refers to the proportion of the subsidence land restoration area, and the restoration is based on not affecting the original vegetation on the surface.
[0051] The intelligent indicators include: mining mechanization and mine digitization level.
[0052] The mining mechanization J is the proportion of mining equipment, the proportion is the quotient of the amount of coal mined by mechanical equipment and the total coal output, and the mine digitization level S is the quotient of the amount of coal data that can be retrieved through computers and other electronic equipment and the total amount of coal data.
[0053] Step 120, obtaining a weight coefficient of each coal mining indicator among the plurality of coal mining indicators;
[0054] Step 130: Evaluate the mining level of the target coal according to the plurality of coal mining indicators and the weight coefficient of each coal mining indicator.
[0055] The evaluation of the mining level of the target coal can be carried out according to the following steps:
[0056] Multiplying each coal mining indicator by a weight coefficient of each coal mining indicator to obtain a unilateral mining level assessment corresponding to each coal mining indicator;
[0057] The unilateral mining level assessment corresponding to each coal mining index = each coal mining index * the weight coefficient of each coal mining index. For example, the unilateral mining level assessment corresponding to coal mining index A = coal mining index A * the weight coefficient of coal mining index A.
[0058] The weight coefficient of each coal mining index is greater than the first weight threshold and less than the second weight threshold. For example, the value range of the weight coefficient can be (0.2-0.3), and the sum of the weight coefficients of each coal mining index=1.
[0059] The weight coefficient of each coal mining index varies due to regional distribution (such as coal demand in the region where the coal mine is located, coal market price in the region where the coal mine is located, etc.) or market demand (such as coal price index, etc.).
[0060] Performing a sum operation on the unilateral mining level assessments corresponding to the coal mining indicators to obtain a mining level assessment result of the target coal;
[0061] The mining level of the target coal is confirmed according to the mining level assessment result of the target coal.
[0062] By obtaining the unilateral mining level assessment corresponding to each coal mining indicator, the unilateral mining level assessment corresponding to each coal mining indicator can be summed to accurately obtain the mining level assessment result of the target coal, and then according to the mining level assessment result of the target coal, the mining level of the target coal can be accurately confirmed, thereby accurately assessing the coal mining level of the mining area where the target coal is located, so as to eliminate coal mines with low-quality mining levels.
[0063] In some embodiments, the evaluating the mining level of the target coal according to the plurality of coal mining indicators and the weight coefficient of each coal mining indicator includes:
[0064] Multiplying each coal mining indicator by a weight coefficient of each coal mining indicator to obtain a unilateral mining level assessment corresponding to each coal mining indicator;
[0065] Performing a sum operation on the unilateral mining level assessments corresponding to the coal mining indicators to obtain a mining level assessment result of the target coal;
[0066] The mining level of the target coal is confirmed according to the mining level assessment result of the target coal.
[0067] By obtaining the unilateral mining level assessment corresponding to each coal mining indicator, the unilateral mining level assessment corresponding to each coal mining indicator can be summed up to accurately obtain the mining level assessment result of the target coal, and then according to the mining level assessment result of the target coal, the mining level of the target coal can be accurately confirmed, thereby accurately assessing the coal mining level of the mining area where the target coal is located, so as to eliminate coal mines with low-quality mining levels.
[0068] When confirming the mining level of the target coal, in addition to combining the mining level assessment results of the target coal, the unilateral mining level assessments corresponding to different coal mining indicators can also be compared to determine which mining level assessment is high and which mining level assessment is low, thereby improving the accuracy of the mining level. And / or
[0069] When confirming the mining level of the target coal, in addition to combining the mining level assessment results of the target coal, the unilateral mining level assessment corresponding to each coal mining indicator can also be compared with the unilateral mining level assessment corresponding to the historical coal mining indicator to determine the specific mining changes in various aspects, thereby improving the accuracy of the mining level and giving more reasonable mining optimization suggestions.
[0070] In some embodiments, the evaluating the mining level of the target coal according to the plurality of coal mining indicators and the weight coefficient of each coal mining indicator includes:
[0071] Determine the priority of each coal mining indicator;
[0072] Selecting a target coal mining indicator with a priority higher than a preset priority from the coal mining indicators;
[0073] The priorities of various coal mining indicators may be completely different, or the priorities of some coal mining indicators may be the same.
[0074] The target coal mining index with a priority higher than a preset priority selected from among the coal mining indexes may be one or more coal mining indexes.
[0075] Multiplying the target coal mining index by the weight coefficient of the target coal mining index to obtain a mining level assessment result of the target coal;
[0076] The mining level of the target coal is confirmed according to the mining level assessment result of the target coal.
[0077] By selecting a target coal mining indicator with a priority higher than a preset priority from various coal mining indicators, the target coal mining indicator can be multiplied by the weight coefficient of the target coal mining indicator to obtain a mining level assessment result of the target coal, and then the mining level of the target coal is accurately assessed based on the size of the mining level assessment result of the target coal, thereby accurately assessing the coal mining level of the mining area where the target coal is located, so as to eliminate coal mines with low-quality mining levels.
[0078] In some embodiments, the step of confirming the mining level of the target coal according to the mining level assessment result of the target coal includes:
[0079] If the mining level assessment result of the target coal is not greater than the first mining threshold, confirming that the mining level of the target coal is the first mining level;
[0080] If the mining level assessment result of the target coal is greater than the first mining threshold and less than the second mining threshold, confirming that the mining level of the target coal is the second mining level;
[0081] If the mining level assessment result of the target coal is greater than the third mining threshold and less than the fourth mining threshold, confirming that the mining level of the target coal is the third mining level;
[0082] If the mining level assessment result of the target coal is greater than the fifth mining threshold and less than the sixth mining threshold, the mining level of the target coal is confirmed to be the fourth mining level, wherein the first mining threshold is less than the second mining threshold, the second mining threshold is less than the third mining threshold, the third mining threshold is less than the fourth mining threshold, the fourth mining threshold is less than the fifth mining threshold, the fifth mining threshold is less than the sixth mining threshold, the fourth mining level is better than the third mining level, the third mining level is better than the second mining level, and the second mining level is better than the first mining level.
[0083] By comparing the mining level assessment results of the target coal with the first mining threshold, the second mining threshold, the third mining threshold, the fourth mining threshold, the fifth mining threshold and the sixth mining threshold respectively, the specific mining level of the target coal can be accurately located to ensure whether the mining area where the target coal is located should continue to be mined.
[0084] In some embodiments, the weight coefficient of each coal mining index is greater than a first weight threshold and less than a second weight threshold, and the sum of the weight coefficients of each coal mining index is equal to 1.
[0085] In some embodiments, the weight coefficient of each coal mining indicator varies due to regional distribution or market demand.
[0086] In some embodiments, the plurality of coal mining indicators include: safety indicators, high efficiency indicators, green indicators and intelligent indicators; wherein:
[0087] The safety indicators include: the death rate per million tons and the number of occupational diseases;
[0088] The high efficiency indicators include: full-time employee efficiency ratio and ton coal cost price index;
[0089] The green indicators include: subsidence land treatment rate and recovery rate;
[0090] The intelligent indicators include: mining mechanization and mine digitization level.
[0091] The following will be combined Figure 2 The technical solution of the present disclosure is further described in detail:
[0092] 1) Coal mining evaluation method, which can effectively evaluate the current coal mining level, mainly requires four aspects of coal mining indicators, including safety (A1), efficiency (A2), green (A3) and intelligence (A4);
[0093] 2) Each aspect contains 2 indicators, and the 4 aspects contain a total of 8 indicators (i.e. coal mining indicators). The safety aspect mainly includes the mortality rate per million tons (B) and the number of occupational diseases (morbidity rate Z). The efficiency aspect mainly includes the total employee efficiency ratio (Q) and the cost price index per ton of coal D. The green aspect mainly includes the subsidence treatment rate (T) and the recovery rate (H). The intelligent aspect mainly includes mining mechanization (J) and the digital level of mines (S). The indicator attributes are all expressed in relative values (ratios);
[0094] 3) Set the weights of the four factors and the reference values or thresholds of the indicators respectively, and calculate the coefficient of each indicator (i.e., unilateral mining level assessment), which is calculated as follows: weight × (factor coefficient + ...);
[0095] 4) The weight coefficient of safety is A1, the reference value of the indicator of death rate per million tons is 0.5, and the coefficient is calculated as 1-B / 0.5=1-2B, that is, the factor coefficient of death rate per million tons is 1-2B; the factor coefficient of the number of occupational diseases (morbidity) is 1-Z;
[0096] 5) The weight coefficient of high efficiency is A2, the reference unit of the indicator full-time efficiency (Q) is 10,000 tons / (worker-year), the coefficient is calculated as Q, and the price index (D) is (market price of the province or city) / (2×ton coal cost). The larger the ratio, the better the benefit;
[0097] 6) The weight coefficient of green aspect is A3, which indicates the treatment rate of subsidence land (T) and recovery rate (H);
[0098] 7) The weight coefficient of intelligence is A4, with indicators of mining mechanization rate (J) and digital mine level (S);
[0099] 8) According to the weight coefficient and coal mining index, calculate the coal mining quality level (i.e. the mining level assessment result of the target coal) = A1×(1-2B+1-Z)+A2×(Q+D)+A3×(T+H)+A4×(J+S);
[0100] 9) Compare the scores of each aspect to compare and analyze the level of each aspect. The weight factors of the four aspects can be adjusted appropriately according to regional distribution or market demand. The factor weight range is (0.2-0.3). Note that A1+A2+A3+A4=1;
[0101] 10) The larger the mining quality score is, the better the level is. The mining quality is higher. The mining quality can be divided into four grades according to the score: a score of ≥2 is excellent, between 1.5 and 2 is good, 1 to 1.5 is fair, and <1 is poor.
[0102] 11) The letters in this document are codes only and may also be represented by other symbols.
[0103] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present disclosure is not limited by the order of the actions described, because according to the present disclosure, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present disclosure.
[0104] The above is an introduction to the method embodiment. The following is a further explanation of the scheme disclosed in the present invention through an apparatus embodiment.
[0105] Figure 3 FIG. 3 shows a block diagram of a coal mining evaluation device 300 according to an embodiment of the present disclosure. Figure 3 As shown, the device 300 includes:
[0106] A first acquisition module 310 is used to acquire multiple coal mining indicators of target coal;
[0107] A second acquisition module 320 is used to acquire a weight coefficient of each coal mining indicator among the plurality of coal mining indicators;
[0108] The evaluation module 330 is used to evaluate the mining level of the target coal according to the multiple coal mining indicators and the weight coefficient of each coal mining indicator.
[0109] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described module can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.
[0110] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device and a non-transitory computer-readable storage medium storing computer instructions.
[0111] Figure 4 A schematic block diagram of an electronic device 800 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.
[0112] The device 800 includes a computing unit 801, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 into a random access memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the device 800 can also be stored. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.
[0113] A number of components in the device 800 are connected to the I / O interface 805, including: an input unit 806, such as a keyboard, a mouse, etc.; an output unit 807, such as various types of displays, speakers, etc.; a storage unit 808, such as a disk, an optical disk, etc.; and a communication unit 809, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 809 allows the device 800 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.
[0114] The computing unit 801 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 801 performs the various methods and processes described above, such as method 100. For example, in some embodiments, the method 100 may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 808. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 800 via the ROM 802 and / or the communication unit 809. When the computer program is loaded into the RAM 803 and executed by the computing unit 801, one or more steps of the method 100 described above may be performed. Alternatively, in other embodiments, the computing unit 801 may be configured to perform the method 100 in any other appropriate manner (e.g., by means of firmware).
[0115] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.
[0116] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.
[0117] 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.
[0118] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).
[0119] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by 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), and the Internet.
[0120] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.
[0121] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.
[0122] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.
Claims
1. A coal mining evaluation method, characterized in that: include: Obtain multiple coal mining indicators of target coal; Obtaining a weight coefficient of each coal mining indicator among the plurality of coal mining indicators; The mining level of the target coal is evaluated according to the multiple coal mining indicators and the weight coefficients of the coal mining indicators.
2. The method according to claim 1, characterized in that The step of evaluating the mining level of the target coal according to the plurality of coal mining indicators and the weight coefficients of the coal mining indicators includes: Multiplying each coal mining indicator by a weight coefficient of each coal mining indicator to obtain a unilateral mining level assessment corresponding to each coal mining indicator; Performing a sum operation on the unilateral mining level assessments corresponding to the coal mining indicators to obtain a mining level assessment result of the target coal; The mining level of the target coal is confirmed according to the mining level assessment result of the target coal.
3. The method according to claim 1, characterized in that The step of evaluating the mining level of the target coal according to the plurality of coal mining indicators and the weight coefficients of the coal mining indicators includes: Determine the priority of each coal mining indicator; Selecting a target coal mining indicator with a priority higher than a preset priority from the coal mining indicators; Multiplying the target coal mining index by the weight coefficient of the target coal mining index to obtain a mining level assessment result of the target coal; The mining level of the target coal is confirmed according to the mining level assessment result of the target coal.
4. The method according to claim 2 or 3, characterized in that: The step of confirming the mining level of the target coal according to the mining level assessment result of the target coal comprises: If the mining level assessment result of the target coal is not greater than the first mining threshold, confirming that the mining level of the target coal is the first mining level; If the mining level assessment result of the target coal is greater than the first mining threshold and less than the second mining threshold, confirming that the mining level of the target coal is the second mining level; If the mining level assessment result of the target coal is greater than the third mining threshold and less than the fourth mining threshold, confirming that the mining level of the target coal is the third mining level; If the mining level assessment result of the target coal is greater than the fifth mining threshold and less than the sixth mining threshold, the mining level of the target coal is confirmed to be the fourth mining level, wherein the first mining threshold is less than the second mining threshold, the second mining threshold is less than the third mining threshold, the third mining threshold is less than the fourth mining threshold, the fourth mining threshold is less than the fifth mining threshold, the fifth mining threshold is less than the sixth mining threshold, the fourth mining level is better than the third mining level, the third mining level is better than the second mining level, and the second mining level is better than the first mining level.
5. The method according to claim 1, characterized in that: The weight coefficient of each coal mining index is greater than a first weight threshold and less than a second weight threshold, and the sum of the weight coefficients of each coal mining index is equal to 1.
6. The method according to claim 1, characterized in that The weight coefficient of each coal mining index varies due to regional distribution or market demand.
7. The method according to any one of claims 1 to 6, characterized in that The multiple coal mining indicators include: safety indicators, high efficiency indicators, green indicators and intelligent indicators; among which: The safety indicators include: the death rate per million tons and the number of occupational diseases; The high efficiency indicators include: full-time employee efficiency ratio and ton coal cost price index; The green indicators include: subsidence land treatment rate and recovery rate; The intelligent indicators include: mining mechanization and mine digitization level.
8. A coal mining evaluation device, characterized in that: include: A first acquisition module is used to acquire multiple coal mining indicators of target coal; A second acquisition module is used to obtain a weight coefficient of each coal mining indicator among the multiple coal mining indicators; An evaluation module is used to evaluate the mining level of the target coal according to the multiple coal mining indicators and the weight coefficients of the coal mining indicators.
9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.
10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-7.