Fully mechanized coal mining data processing method, device, equipment and medium

Abstract

The invention provides a fully mechanized coal mining work data processing method, device and equipment and a medium, and the method comprises the steps: obtaining work data, and if the level value of the work data in a preset data priority processing list is higher than the level value of the work data in a current data priority processing list, executing the step 1; based on the level value of the working data in a preset data priority processing list, updating the current data priority processing list; and transmitting the working data in the data transmission queue based on the updated data priority processing list. According to the system and the method, high safety can be guaranteed, resource consumption is remarkably reduced, system performance is improved, special challenges of a coal mine environment can be effectively handled, and an innovative and practical mining environment is provided for the field of safety of the Internet of Things in the coal mine industry.

Description

Technical Field

[0001] The present invention relates to the technical field of fully mechanized coal mining, and particularly to a method, device, equipment and medium for processing fully mechanized mining work data. Background Art

[0002] In the fully mechanized mining work scenario, coal is mined according to the production plan. When mining coal underground, whether it is for safe mining or efficient mining, data needs to be monitored and reported in real time so that the monitoring platform can understand the mining process in real time, repair in time when there is a mining fault, and stop in time when there is a danger. Therefore, the data monitored during underground coal mining should be able to be timely fed back to the ground monitoring platform.

[0003] When mining coal underground, during the data communication and transmission process, it is subject to a transmission environment with limited computing resources. Limited computing resources mean that when performing a computing task, the available computing resources (such as processor speed, memory capacity, storage space, etc.) are limited. Therefore, according to the common data transmission method, the underground mining data cannot be timely fed back to the ground monitoring platform. Summary of the Invention

[0004] Aiming at the problems existing in the prior art, the present invention provides a method, device, equipment and medium for processing fully mechanized mining work data.

[0005] The present invention provides a method for processing fully mechanized mining work data, including: Obtain work data, and based on the data type of the work data, determine the level value of the work data in a preset data priority processing list, and determine the level value of the work data in the current data priority processing list; If the level value of the work data in the preset data priority processing list is higher than the level value of the work data in the current data priority processing list, update the current data priority processing list based on the level value of the work data in the preset data priority processing list; Based on the updated data priority processing list, transmit the work data in the data transmission queue.

[0006] According to the method for processing fully mechanized mining work data provided by the present invention, the method further includes: within a preset time period, obtain the data volume of each data at each level in the current data priority processing list; when there is data whose data volume does not meet the preset condition, lower the level of the data according to a preset rule.

[0007] According to the method for processing fully mechanized mining work data provided by the present invention, the step of transmitting the work data in the data transmission queue based on the updated data priority processing list includes: If the level of the working data is the highest level in the updated data priority processing list and the current data transmission resource is lower than the preset value, compress and merge the data items at the lowest level in the updated data priority processing list for transmission, and configure the working data at the head of the data transmission queue for transmission.

[0008] According to a fully-mechanized mining working data processing method provided by the present invention, before transmitting the working data in the data transmission queue, the method further includes: Determine the importance score of the working data based on the updated data priority processing list and the data volume of the working data; Determine the security encryption policy of the working data based on the importance score, and encrypt and transmit the working data in the data transmission queue based on the security encryption policy.

[0009] According to a fully-mechanized mining working data processing method provided by the present invention, the method further includes: when the security encryption policy of the working data changes, allocate the working data into first data and second data according to a preset ratio, transmit the first data according to the security encryption policy before the change, and transmit the second data according to the security encryption policy after the change.

[0010] According to a fully-mechanized mining working data processing method provided by the present invention, the method further includes: before transmitting the first data according to the security encryption policy before the change, determine the duration based on the data volume of the first data and the preset transmission rate, and transmit the first data according to the security encryption policy before the change based on the duration.

[0011] According to a fully-mechanized mining working data processing method provided by the present invention, the method further includes: store the second data in the buffer area before transmitting the second data according to the security encryption policy after the change.

[0012] The present invention also provides a fully-mechanized mining working data processing device, including: An acquisition module, configured to acquire working data, determine the level value of the working data in a preset data priority processing list based on the data type of the working data, and determine the level value of the working data in the current data priority processing list; An update module, configured to update the current data priority processing list based on the level value of the working data in the preset data priority processing list when the level value of the working data in the preset data priority processing list is higher than the level value of the working data in the current data priority processing list; A processing module, configured to transmit the work data in a data transmission queue based on an updated data priority processing list.

[0013] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the method for processing comprehensive mining work data as described in any one of the above is implemented.

[0014] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method for processing comprehensive mining work data as described in any one of the above is implemented.

[0015] The present invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, the method for processing comprehensive mining work data as described in any one of the above is implemented.

[0016] A method, device, equipment, and medium for processing comprehensive mining work data provided by the present invention. When the level value of the comprehensive mining work data in the preset data priority processing list is higher than the level value of the work data in the current data priority processing list, the current data priority processing list is updated based on the level value of the work data in the preset data priority processing list, and then the work data is transmitted in the data transmission queue based on the updated data priority processing list. It can significantly reduce resource consumption while ensuring high security, improve system performance, and effectively cope with the special challenges of the coal mine environment, providing an innovative and practical mining environment for the field of coal mine industrial Internet of Things security. Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 It is a schematic flowchart of the method for processing comprehensive mining work data provided by the present invention.

[0019] Figure 2 It is a schematic structural diagram of the device for processing comprehensive mining work data provided by the present invention.

[0020] Figure 3 It is a schematic structural diagram of the electronic device provided by the present invention. Detailed Embodiments

[0021] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without creative efforts belong to the scope of protection of the present invention.

[0022] The following will describe Figures 1 - 3 the fully-mechanized coal mining work data processing method, device, equipment, and medium of the present invention.

[0023] Figure 1 Fig. shows a schematic flowchart of a fully-mechanized coal mining work data processing method provided by the present invention. Refer to Figure 1 and the method includes the following steps: Step 11: Obtain work data, and based on the data type of the work data, determine the level value of the work data in a preset data priority processing list and the level value of the work data in the current data priority processing list.

[0024] Step 12: If the level value of the work data in the preset data priority processing list is higher than the level value of the work data in the current data priority processing list, update the current data priority processing list based on the level value of the work data in the preset data priority processing list.

[0025] Step 13: Based on the updated data priority processing list, transmit the work data in the data transmission queue.

[0026] Regarding Steps 11 - 13, it should be noted that fully-mechanized coal mining, that is, fully-mechanized coal comprehensive mining, is a modern and efficient coal mining technology. Fully-mechanized coal mining refers to the use of a variety of mechanical equipment and technical means to achieve the full-process mechanized operation of coal from mining to transportation.

[0027] In the fully-mechanized coal mining work scenario, coal is mined according to the production plan. When mining coal underground, whether it is for safe mining or efficient mining, data needs to be monitored and reported in real time so that the monitoring platform can understand the mining process in real time, repair in time in case of mining failures, and stop in time in case of danger. Therefore, the data monitored during underground coal mining needs to be able to be timely fed back to the ground monitoring platform.

[0028] When mining coal underground, during the data communication and transmission process, it is subject to a transmission environment with limited computing resources. Limited computing resources mean that when performing computing tasks, the available computing resources (such as processor speed, memory capacity, storage space, etc.) are limited. Therefore, it is necessary to reasonably allocate resources for various types of data to achieve the purpose of reasonably transmitting the required data.

[0029] In the present invention, due to the limited resources for data communication, a processing method of applying CIP Security (Common Industrial Protocol Security) to the intelligent coal mining system is proposed from the aspects of slave device configuration and data protocol. By implementing the CIP Security protocol in mining equipment, sensor networks, and control systems with limited computing resources, the security, reliability, and efficiency of the intelligent coal mining system are improved. This system only retains the core functions of CIP (Common Industrial Protocol), removes unnecessary service classes such as programming and configuration services, simplifies connection management, only supports Class 1 (real-time I / O) and Class 3 (explicit message) connections, and uses static memory allocation to avoid the overhead of dynamic memory management.

[0030] In the fully-mechanized coal mining working scenario, the monitored data is classified as follows: (1) Real-time monitoring data: (11) Shearer position and speed; (12) Hydraulic support pressure and position; (13) Conveyor operation status.

[0031] (2) Environmental monitoring data: (21) Gas concentration; (22) Dust concentration; (23) Temperature and humidity; (24) Roof pressure.

[0032] (3) Equipment status data: (31) Equipment operation time; (32) Equipment failure information; (33) Equipment maintenance warning.

[0033] (4) Production management data: (41) Output statistics; (42) Energy consumption data; (43) Working face advance speed.

[0034] (5) Personnel safety data: (51) Personnel positioning information; (52) Personal protective equipment status.

[0035] Based on the impact of data on production safety and efficiency, the following priorities are set for various types of data: 1) Highest priority (P1) - Data directly affecting personnel safety and major accident prevention: 11) Alarm for excessive gas concentration; 12) Alarm for abnormal roof pressure; 13) Personnel emergency help signal.

[0036] 2) High priority (P2) - Key data affecting production process control: 21) Real-time position and speed of the shearer; 22) Hydraulic support pressure and position; 23) Conveyor failure alarm.

[0037] 3) Medium Priority (P3) - Data affecting production efficiency and equipment management: 31) Equipment failure information; 32) Real-time production volume statistics; 33) Energy consumption data.

[0038] 4) Low Priority (P4) - Data for auxiliary decision-making and long-term analysis: 41) Equipment operation time statistics; 42) Working face advance speed; 43) Daily environmental monitoring data (within normal range).

[0039] In the present invention, different data are obtained in real time. Based on the priority level of the data, communication resources are reasonably arranged in the data transmission queue for data transmission. However, in the data priority processing, if during the normal coal mining time, some data cannot be obtained. For example, when the gas concentration is very low, the safety alarm will not be triggered. At this time, it will also be tolerated by the system and there is no need to transmit data to the monitoring platform on the ground, or the transmission to the monitoring platform on the ground can be postponed temporarily. However, the data with excessive gas concentration always occupies the transmission resources of the priority level, which will indirectly delay the transmission of other-level data. Therefore, it is necessary to update the priority of each data in the initial configured data priority processing list in real time, so as to ensure that various data can complete data transmission according to reasonable priorities at different mining stages.

[0040] Therefore, in the present invention, after obtaining the working data, it is necessary to analyze the data type of the working data, and then determine the level value of the working data (that is, determine the priority level to which the working data belongs) based on the preset data priority processing list (the initially configured data priority processing list). At the same time, it is also necessary to determine the level value of the working data in the current data priority processing list (because the data priority processing list will be dynamically updated according to the actual situation at any time), If the level value of the working data in the preset data priority processing list is higher than the level value of the working data in the current data priority processing list, the current data priority processing list is updated based on the level value of the working data in the preset data priority processing list. Then, based on the updated data priority processing list, the working data is transmitted in the data transmission queue.

[0041] For example, if the obtained working data is a personnel emergency help signal, at this time, the "personnel emergency help signal" has the highest priority in the initial data priority processing list, but has a low priority in the current data priority processing list (indicating that during normal mining, no accidents causing harm to personnel have occurred). At this time, update the data priority processing list and adjust the "personnel emergency help signal" to the highest priority in the updated data priority processing list.

[0042] Then allocate the "personnel emergency help signal" to the first position in the data transmission queue, and then promptly transmit the "personnel emergency help signal" to the ground monitoring platform. The staff can view the alarm signal on the system interface and take necessary measures for the underground mining situation to ensure the safety of personnel.

[0043] The fully mechanized mining working data processing method provided by the present invention, when the level value of the fully mechanized mining working data in the preset data priority processing list is higher than the level value of the working data in the current data priority processing list, updates the current data priority processing list based on the level value of the working data in the preset data priority processing list, and then based on the updated data priority processing list, transmits the working data in the data transmission queue. It can significantly reduce resource consumption while ensuring high safety, improve system performance, and effectively cope with the special challenges of the coal mine environment, providing an innovative and practical mining environment for the field of coal mine industrial Internet of Things security.

[0044] In a further method of the above method, it mainly explains the process of real-time updating the data priority processing list, which is specifically as follows: Within a preset time period, obtain the data volume of each data at each level in the current data priority processing list; when there is data whose data volume does not meet the preset conditions, lower the level of the data according to the preset rules.

[0045] For example, within a period of time, the data of the dust concentration has been very low. At this time, it is equivalent to the data of "exceeding the dust concentration standard", and its data volume is equivalent to 0. That is to say, when the data of the dust concentration fails to reach the reporting transmission or needs to be reported with a delay, the priority of the dust concentration needs to be lowered so that other data (such as equipment operation time, equipment failure information) can be promptly uploaded to the ground monitoring platform.

[0046] The further method of the present invention can reasonably transmit the fully mechanized mining working data to the ground monitoring platform at different stages by real-time updating the data priority, facilitating the ground monitoring platform to display the data at different stages.

[0047] In a further method of the above method, it mainly explains the process of transmitting work data in the data transmission queue based on the updated data priority processing list, which is specifically as follows: If the level of the work data is at the highest level in the updated data priority processing list and the current data transmission resource is lower than the preset value, compress and merge the data items at the lowest level in the updated data priority processing list for transmission, and configure the work data at the head of the data transmission queue for transmission.

[0048] In this regard, it should be noted that when the level of the work data is at the highest level in the updated data priority processing list, the work data needs to be uploaded to the ground monitoring platform in a timely manner. However, there is also data at all levels waiting to be transmitted. In a communication environment with limited computing resources, if the current data transmission resource is lower than the preset value, at this time, if the work data at the highest level is directly transmitted, it will cause transmission delay or transmission failure, resulting in the inability to transmit the data to the ground monitoring platform in a timely manner. Therefore, at this time, the transmission resources need to be adjusted to allocate reasonable transmission resources for the data at the highest priority for transmission. At this time, compress and merge the data items at the lowest level in the updated data priority processing list for transmission, and then configure the work data at the head of the data transmission queue for transmission.

[0049] The further method of the present invention can allocate transmission resources to the current data at high priority in the first time through reasonable planning of data transmission resources, and upload the data to the ground monitoring platform in a timely manner.

[0050] In a further method of the above method, mainly from the perspective of secure communication, before transmitting the work data in the data transmission queue, preparatory work for the secure transmission of the work data to be transmitted is carried out. Therefore, based on the updated data priority processing list and the data volume of the work data, the importance score of the work data is determined. Based on the importance score, the secure encryption strategy of the work data is determined, and then the work data is encrypted and transmitted in the data transmission queue based on the secure encryption strategy.

[0051] In the present invention, the strategies adopted for data with different importance scores include but are not limited to: Low level (L1): Only perform data integrity verification (such as CRC32) Medium level (L2): Use lightweight encryption (such as PRESENT-80) High level (L3): Combine PRESENT-128 and ECDH for comprehensive protection.

[0052] Set thresholds: Set two importance thresholds I1 and I2, Algorithm steps: When the data importance score is less than I1, select the algorithm with security level L1; when I1 < data importance score < I2, select the algorithm with security level L2; when the data importance score is greater than I2, select the algorithm with security level L3.

[0053] A further method of the present invention is to ensure data communication security during the coal mining process and ensure the accuracy and reliability of coal mining operations.

[0054] In a further method of the above method, when the security encryption policy of the working data changes, the working data is allocated into first data and second data according to a preset ratio. The first data is transmitted according to the security encryption policy before the change, and the second data is transmitted according to the security encryption policy after the change.

[0055] In this regard, it should be noted that to avoid performance fluctuations caused by frequent switching of security levels and implement a smooth transition mechanism, a minimum duration needs to be set: once switched to a new security level, at least maintain the old security level for a period of time (such as 5 seconds). That is, the working data is allocated into first data and second data according to a preset ratio. Before transmitting the first data according to the security encryption policy before the change, based on the data volume of the first data and the preset transmission rate, determine the duration, and transmit the first data according to the security encryption policy before the change based on the duration. During the switching process, gradually increase the data processing ratio of the new security level. That is, the working data is allocated into first data and second data according to a preset ratio, the first data is transmitted according to the security encryption policy before the change, and the second data is transmitted according to the security encryption policy after the change.

[0056] In addition, before transmitting the second data according to the security encryption policy after the change, store the second data in the buffer.

[0057] The following describes the fully-mechanized coal mining working data processing device provided by the present invention. The fully-mechanized coal mining working data processing device described below can be mutually referred to with the fully-mechanized coal mining working data processing method described above.

[0058] Figure 2 Shows a schematic flowchart of a fully-mechanized coal mining working data processing device provided by the present invention. Refer to Figure 2 This device includes an acquisition module 21, an update module 22, and a processing module 23, where: The acquisition module is used to acquire working data, determine the level value of the working data in the preset data priority processing list based on the data type of the working data, and determine the level value of the working data in the current data priority processing list; An update module, configured to update the current data priority processing list based on the level value of the work data in the preset data priority processing list when the level value of the work data in the preset data priority processing list is higher than the level value of the work data in the current data priority processing list; A processing module, configured to transmit the work data in the data transmission queue based on the updated data priority processing list.

[0059] Since the device of the embodiment of the present invention has the same principle as the method of the above embodiment, the more detailed explanation content will not be repeated here.

[0060] It should be noted that, in the embodiment of the present invention, the relevant functional modules can be implemented by a hardware processor.

[0061] The fully-mechanized mining work data processing device provided by the present invention updates the current data priority processing list based on the level value of the work data in the preset data priority processing list when the level value of the fully-mechanized mining work data in the preset data priority processing list is higher than the level value of the work data in the current data priority processing list, and then transmits the work data in the data transmission queue based on the updated data priority processing list, which can significantly reduce resource consumption while ensuring high security, improve system performance, and effectively cope with the special challenges of the coal mine environment, providing an innovative and practical mining environment for the field of coal mine industrial Internet of Things security.

[0062] Figure 3 Schematically shows an entity structure diagram of an electronic device, as Figure 3 shown, the electronic device may include: a processor 31 (processor), a communication interface 32 (Communications Interface), a memory 33 (memory), and a communication bus 34. Among them, the processor 31, the communication interface 32, and the memory 33 communicate with each other through the communication bus 34. The processor 31 can call the logical instructions in the memory 33 to execute the fully-mechanized mining work data processing method, and the method includes: obtaining work data, determining the level value of the work data in the preset data priority processing list based on the data type of the work data, and determining the level value of the work data in the current data priority processing list; if the level value of the work data in the preset data priority processing list is higher than the level value of the work data in the current data priority processing list, updating the current data priority processing list based on the level value of the work data in the preset data priority processing list; transmitting the work data in the data transmission queue based on the updated data priority processing list.

[0063] In addition, when the logic instructions in the above-mentioned memory 33 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs.

[0064] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the comprehensive mining work data processing method provided by the above-mentioned various methods. The method includes: obtaining work data, determining the level value of the work data in a preset data priority processing list based on the data type of the work data, and determining the level value of the work data in the current data priority processing list; if the level value of the work data in the preset data priority processing list is higher than the level value of the work data in the current data priority processing list, updating the current data priority processing list based on the level value of the work data in the preset data priority processing list; and transmitting the work data in a data transmission queue based on the updated data priority processing list.

[0065] On another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the comprehensive mining work data processing method provided by the above-mentioned various methods. The method includes: obtaining work data, determining the level value of the work data in a preset data priority processing list based on the data type of the work data, and determining the level value of the work data in the current data priority processing list; if the level value of the work data in the preset data priority processing list is higher than the level value of the work data in the current data priority processing list, updating the current data priority processing list based on the level value of the work data in the preset data priority processing list; and transmitting the work data in a data transmission queue based on the updated data priority processing list.

[0066] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative labor.

[0067] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments or equivalently replace some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for processing fully mechanized mining work data, characterized in that: include: Acquire work data, and determine, based on the data type of the work data, a level value of the work data in a preset data priority processing list, and determine a level value of the work data in a current data priority processing list; If the level value of the working data in the preset data priority processing list is higher than the level value of the working data in the current data priority processing list, updating the current data priority processing list based on the level value of the working data in the preset data priority processing list; Based on the updated data priority processing list, the working data is transmitted in the data transmission queue.

2. The method for processing fully mechanized mining work data according to claim 1, characterized in that: The method further includes: obtaining the data volume of each data at each level in the current data priority processing list within a preset time period; when there is data whose data volume does not meet the preset conditions, lowering the level of the data according to the preset rules.

3. The method for processing fully mechanized mining data according to claim 1, characterized in that: The step of transmitting the working data in a data transmission queue based on the updated data priority processing list includes: If the level of the working data is at the highest level in the updated data priority processing list and the current data transmission resources are lower than the preset value, the data at the lowest level in the updated data priority processing list will be compressed and combined for transmission, and the working data will be configured to be transmitted at the first level of the data transmission queue.

4. The method for processing fully mechanized mining data according to claim 1, characterized in that: Before transmitting the working data in the data transmission queue, the method further includes: Determining the importance score of the work data based on the updated data priority processing list and the data volume of the work data; A security encryption policy for the working data is determined based on the importance score, and the working data is encrypted and transmitted in a data transmission queue based on the security encryption policy.

5. The method for processing fully mechanized mining data according to claim 4 is characterized in that: The method also includes: when the security encryption policy of the working data changes, the working data is distributed into first data and second data according to a preset ratio, the first data is transmitted according to the security encryption policy before the change, and the second data is transmitted according to the security encryption policy after the change.

6. The method for processing fully mechanized mining data according to claim 5, characterized in that: The method also includes: before transmitting the first data according to the security encryption policy before the change, determining the duration based on the data volume of the first data and a preset transmission rate, and transmitting the first data according to the security encryption policy before the change based on the duration.

7. The method for processing fully mechanized mining data according to claim 5, characterized in that: The method further includes: before transmitting the second data according to the changed security encryption policy, storing the second data in a cache area.

8. A fully mechanized mining data processing device, characterized in that: include: An acquisition module, used to acquire working data, determine a level value of the working data in a preset data priority processing list based on a data type of the working data, and determine a level value of the working data in a current data priority processing list; An updating module, configured to update the current data priority processing list based on the level value of the working data in the preset data priority processing list when the level value of the working data in the preset data priority processing list is higher than the level value of the working data in the current data priority processing list; The processing module is used to transmit the working data in the data transmission queue based on the updated data priority processing list.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, it implements the comprehensive mining work data processing method as described in any one of claims 1-7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the comprehensive mining work data processing method as described in any one of claims 1-7.

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