A method for obtaining equipment posture in fully mechanized mining face

Abstract

The present invention relates to the field of automated coal mining, and in particular to a method for acquiring the posture of equipment on a fully-mechanized mining face. The acquisition rules of the embodiment of the present invention include the identification of the expected acquisition equipment, the response strength, the transmission power, the timeout time and the transmission source. By acquiring the equipment model to be detected, the tag configuration contained in the equipment model is acquired based on the edge-side database. According to the passive RF tag configured for the target device, an excitation signal and the farthest transmission space from the target device are selected to form an acquisition rule for the signal in the space. The acquisition rule is executed at the transmission source adjacent to or set on the fully-mechanized mining equipment to obtain the response of the passive RF tag, and the coordinates of the passive RF tag are obtained based on the solution of the response signal of the passive RF tag. The posture of the component in the equipment model is calculated based on the coordinates collected at different times of the passive RF tag. The posture of the equipment model is updated according to the posture of the component.

Description

Technical Field

[0001] The invention relates to the field of automated coal mining, and in particular to a method for acquiring the posture of equipment on a fully mechanized mining face. Background Art

[0002] In view of the current development trend of intelligent mining technology for fully mechanized coal mining faces, more and more coal production enterprises and coal mining equipment enterprises have realized that currently intelligent mining can only provide intelligent control solutions at the equipment level, and the uncertainty of coal occurrence has directly led to the lack of judgment basis for the coal mining system. The occurrence of advanced detection has the following difficulties: the formation of coal seams is affected by the movement of the earth's crust, resulting in the complexity and variability of coal seam occurrence. Based on the characteristics of the surrounding rock that have been revealed, it is impossible to infer the occurrence conditions and evolution trends of the coal seams to be mined. At the same time, there is no method to clearly analyze the dynamic impact of mining disturbance on coal and rock and the coupling relationship between equipment and surrounding rock during the mining process of the working face. Therefore, how to realize the advanced detection of occurrence of fully mechanized mining working faces, establish a digital mining model that integrates fully mechanized mining equipment and coal seams to be mined, and then guide the coupling relationship between equipment and mining sites in the production process, realize the intelligent control of fully mechanized mining equipment, and truly realize the full mechanized mining working face production mode into unmanned mining, has become an important issue facing the intelligent mining of fully mechanized coal mining. Summary of the invention

[0003] In order to solve the problem of how to configure passive RF tags and calculate the component postures in the equipment model based on the coordinates collected by the passive RF tags at different times to achieve real-time monitoring and control of the equipment postures of the comprehensive mining working face, the present invention provides a method for obtaining the equipment postures of the comprehensive mining working face.

[0004] In a first aspect, the present invention provides a method for obtaining the posture of equipment in a fully mechanized mining face, comprising:

[0005] Get the device model to be tested;

[0006] Obtain the label configuration contained in the device model based on the edge-side database;

[0007] According to the passive RF tag configured on the target device, an excitation signal and a transmitting space farthest from the target device are selected to form a collection rule for signals in the space;

[0008] Execute the collection rules at the transmitting source near or installed on the comprehensive mining equipment to obtain the response of the passive RF tag;

[0009] Obtaining coordinates of the passive RF tag based on solving a response signal of the passive RF tag;

[0010] Calculate the posture of the components in the device model based on the coordinates collected by the passive RF tag at different times;

[0011] Update the posture of the device model according to the posture of the component;

[0012] The collection rules include the identification of the expected collection device, the response strength, the transmission power, the timeout period and the transmission source.

[0013] In some embodiments, the device model to be detected divides the device components to be detected into rotating parts and non-rotating parts according to whether they are spatial rotating parts, and corresponding to multiple components with the same motion posture, the components close to the emission source are configured as the components to be detected, and labels are set on the components to be detected.

[0014] In some embodiments, when the equipment component to be detected is a non-rotating part, no less than 3 passive RF tags are set on the component to be detected, and are evenly distributed in the layout direction parallel to the comprehensive mining working face.

[0015] In some embodiments, the passive RF tag configured according to the target device selects the excitation signal and the farthest transmission space from the target device to form a collection rule for the signal in the space, including:

[0016] Determine the number of responses for different transmission frequencies, response strengths, and transmission frequencies according to the identifiable collection rules corresponding to the passive RF tag configured by the target device, wherein the number of responses is the number of the passive RF tag and the surrounding passive RF tags adjacent to the passive RF tag;

[0017] The minimum interference collection rule is used as a collection rule for the passive RF tag, and the identification of the passive RF tag expected to be read is configured in the collection rule.

[0018] In some embodiments, executing the acquisition rule at a transmitting source adjacent to or disposed on the comprehensive mining equipment to obtain a response from the passive RF tag includes:

[0019] The collection rules are sorted according to the path determined by the starting point and the end point of the collection rules, and the time window for the emission source to act on the passive RF tag set on the device is determined according to the expected spatial distance of the tag reading and the collection rules. The emission source is set within the time window to emit energy and receive response signals according to the collection rules.

[0020] In some embodiments, when the device component to be detected is a rotating component, no less than 3 radial passive RF tags are set on the component to be detected, and the radial passive RF tags are evenly distributed according to the rotation direction;

[0021] No less than three axial passive RF tags are also arranged on the component to be detected, and the axial passive RF tags are evenly distributed along the axial direction of the rotating component.

[0022] In some embodiments, the edge database is constructed based on historically collected responses and collection rules of passive RF tags of target devices, and obtaining tag configurations contained in the device model based on the edge database includes:

[0023] Get the tags configured in the device model;

[0024] Based on the RF tag information contained in the tag, obtain the detected records and corresponding collection rules within 24 hours;

[0025] The collection rules are deduplicated, and the association between the RF tag and the identifiable collection rule configuration is determined as the tag configuration.

[0026] In some embodiments, the response to the passive RF tag is performed using no less than three readers, and obtaining the coordinates of the passive RF tag based on the solution of the response signal of the passive RF tag includes:

[0027] Transmit low-frequency excitation signals, receive response signals of passive RF tags at 125KHz to 134KHz through multiple readers, and extract the identification of passive RF tags;

[0028] When the identification of the passive RF tag is the identification of the expected collection device of the collection rule and all readers collect the response of the passive RF tag, the position of the passive RF tag is determined using RSSI, TOA or TDOA algorithm.

[0029] In some embodiments, acquisition rules and response information of passive RF tags acquired by different readers when executing the acquisition rules are acquired, and the acquisition rules and response information are saved to an edge-side database.

[0030] In some embodiments, when all readers have not collected all responses of the passive RF tag, a new collection rule is selected to collect signals according to the passive RF tag selection excitation signal configured for the target device and the farthest transmission space from the target device.

[0031] In some embodiments, the step of calculating the posture of the component in the device model based on the coordinates collected by the passive RF tag at different times includes:

[0032] Determine the spatial position of the component based on the coordinates of the passive RF tag on the component;

[0033] Determine spatial motion information of each passive RF tag in the component based on the spatial position of the component at a previous time point;

[0034] Determine the spatial position of the passive RF tag on the component at the next time point according to the spatial position of the component and the spatial motion information of each passive RF tag;

[0035] The posture of the component is determined based on the spatial position of the passive RF tag at the next time point. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The above and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:

[0037] Figure 1 It is a flow chart of a method for obtaining the equipment posture of a comprehensive mining working face according to an embodiment of the present application. DETAILED DESCRIPTION

[0038] The present disclosure will now be discussed with reference to several exemplary embodiments. It should be understood that these embodiments are discussed only to enable those skilled in the art to better understand and thus implement the present disclosure, rather than implying any limitation on the scope of the present disclosure.

[0039] As used herein, the term "including" and variations thereof are to be interpreted as open-ended terms meaning "including but not limited to." The term "based on" is to be interpreted as "based, at least in part, on." The terms "one embodiment" and "an embodiment" are to be interpreted as "at least one embodiment." The term "another embodiment" is to be interpreted as "at least one other embodiment."

[0040] The embodiment of the present invention discloses a method for obtaining the posture of equipment in a fully mechanized mining face, comprising:

[0041] Get the device model to be tested;

[0042] Obtain the label configuration contained in the device model based on the edge-side database;

[0043] According to the passive RF tag configured on the target device, an excitation signal and a transmitting space farthest from the target device are selected to form a collection rule for signals in the space;

[0044] Execute the collection rules at the transmitting source near or installed on the comprehensive mining equipment to obtain the response of the passive RF tag;

[0045] Obtaining coordinates of the passive RF tag based on solving a response signal of the passive RF tag;

[0046] Calculate the posture of the components in the device model based on the coordinates collected by the passive RF tag at different times;

[0047] Update the posture of the device model according to the posture of the component;

[0048] The collection rules include the identification of the expected collection device, the response strength, the transmission power, the timeout period and the transmission source.

[0049] According to one embodiment of the present invention, the device model to be detected divides the device components to be detected into rotating parts and non-rotating parts according to whether they are spatial rotating parts, and corresponding to multiple components with the same motion posture, the components close to the emission source are configured as the components to be detected, and labels are set on the components to be detected.

[0050] According to one embodiment of the present invention, when the equipment component to be detected is a non-rotating component, no less than 3 passive RF tags are set on the component to be detected, and are evenly distributed in the arrangement direction parallel to the comprehensive mining working face.

[0051] Passive RF tags are radio frequency identification tags that do not require external power supply. They obtain energy by receiving radio waves and use the energy to transmit the information in the tag with high precision and high stability. At the same time, passive RF tags are small in size and light in weight, and can also work normally under complex environmental conditions. Because they do not require power supply, there are no wires or cables connected, which reduces the safety hazards caused by too many lines in underground work. These tags are usually equipped with dustproof, shockproof, anti-corrosion and other protective measures to cope with the harsh working environment underground. In addition, the reading distance of these tags can be adjusted according to actual needs, so that they can adapt to equipment components of different sizes and types.

[0052] The spacing between each label should be kept equal to ensure complete coverage of the component. At the same time, the label should fit closely to the surface of the component to be inspected to avoid errors during the inspection process.

[0053] During the implementation process, we found some problems. For example, due to the limited space in the comprehensive mining face, if the tags are arranged too densely, it may affect the normal operation of other equipment. Therefore, we adopted the method of evenly distributing the tags along the layout direction of the comprehensive mining face, which can better utilize the space and avoid interference with other equipment. At the same time, we also found that if the spacing between tags is too small, it may cause signal interference and affect the accuracy of the detection results. Therefore, we chose no less than 3 passive RF tags for layout, which can ensure complete coverage of the components while avoiding the problem of signal interference.

[0054] According to an embodiment of the present invention, the passive RF tag configured according to the target device selects the excitation signal and the farthest transmission space from the target device to form a collection rule of the signal in the space, including:

[0055] Determine the number of responses for different transmission frequencies, response strengths, and transmission frequencies according to the identifiable collection rules corresponding to the passive RF tag configured by the target device, wherein the number of responses is the number of the passive RF tag and the surrounding passive RF tags adjacent to the passive RF tag;

[0056] The minimum interference collection rule is used as a collection rule for the passive RF tag, and the identification of the passive RF tag expected to be read is configured in the collection rule.

[0057] Choose a suitable excitation signal based on the passive RF tag configured on the target device. This excitation signal should be correctly received and decoded by the passive RF tag, and the distance between the passive RF tag and the target device and possible interference factors should also be taken into account.

[0058] After determining the excitation signal, it is necessary to determine the maximum distance of the transmission space. This distance should be determined based on the reading range of the passive RF tag and the characteristics of the target device. In some cases, it may be necessary to adjust the range of the transmission space to ensure that the signal can be correctly decoded and does not interfere with other devices.

[0059] After determining the transmission space, it is necessary to determine the signal collection rule in the space based on the passive RF tag collection rule. This rule should include considerations for different transmission frequencies, response strengths, and transmission frequencies. This rule should also take into account the situation of minimum interference. Therefore, we need to use the minimum interference collection rule as the collection rule for passive RF tags.

[0060] In the collection rule, you need to configure the ID of the passive RF tag you are expecting to read. This ID can be the unique identifier of the passive RF tag or a specific ID associated with the target device. By configuring this ID, we can more accurately control the reading and identification of passive RF tags, and better manage and track target devices.

[0061] According to one embodiment of the present invention, executing the acquisition rule at a transmitting source adjacent to or arranged on the comprehensive mining equipment to obtain a response from the passive RF tag includes:

[0062] The collection rules are sorted according to the path determined by the starting point and the end point of the collection rules, and the time window for the emission source to act on the passive RF tag set on the device is determined according to the expected spatial distance of the tag reading and the collection rules. The emission source is set within the time window to emit energy and receive response signals according to the collection rules.

[0063] According to one embodiment of the present invention, when the device component to be detected is a rotating part, no less than 3 radial passive RF tags are set on the component to be detected, and the radial passive RF tags are evenly distributed along the rotation direction; no less than 3 axial passive RF tags are also set on the component to be detected, and the axial passive RF tags are evenly distributed along the axial direction of the rotating part.

[0064] According to one embodiment of the present invention, the edge-side database is constructed based on the responses and collection rules of the passive RF tags of the target device collected historically, and obtaining the tag configuration contained in the device model based on the edge-side database includes: obtaining the tags configured in the device model; based on the RF tag information contained in the tags, obtaining the detected records and corresponding collection rules within 24 hours; deduplicating the collection rules, and determining the association between the RF tags and the identifiable collection rule configurations as the tag configuration.

[0065] Get the passive RF tags configured within the device model, they do not require an external power source, but are powered by the received radio signals.

[0066] Based on the RF tag information contained in the tag, the detected records and corresponding collection rules within 24 hours are obtained. This information is read from the tag and then stored and analyzed through the edge database.

[0067] De-duplicate the collection rules. This step is to avoid duplicate collection rules taking up unnecessary storage space. The de-duplicate process can be based on timestamps, tag IDs, etc.

[0068] Determine the association between the RF tag and the identifiable collection rule configuration as the tag configuration. This step is a critical step because it associates the tag with the specific collection rule, thereby building a model of the device and the corresponding tag configuration.

[0069] These tag configurations can be used for subsequent device identification and data collection. At the same time, since the edge database is used for data storage and analysis, large amounts of data can be processed efficiently, and tag configurations can be updated and optimized in real time.

[0070] According to one embodiment of the present invention, the response of the passive RF tag is performed using no less than three readers, and the coordinates of the passive RF tag are obtained based on the solution of the response signal of the passive RF tag, including: transmitting a low-frequency excitation signal, receiving the response signal of the passive RF tag at 125KHz~134KHz through multiple readers, and extracting the identification of the passive RF tag; when the identification of the passive RF tag is the identification of the expected collection device of the collection rule, and all readers have collected the response of the passive RF tag, using RSSI, TOA or TDOA algorithm to determine the position of the passive RF tag.

[0071] When solving the coordinates of the passive RF tag, it is necessary to first transmit a low-frequency excitation signal, and then receive the passive RF tag's response signal at 125KHz to 134KHz through multiple readers. After extracting the passive RF tag's identification, it is necessary to determine whether the tag is the identification of the expected collection device of the collection rule, and all readers must collect the passive RF tag's response.

[0072] When determining the location of the passive RF tag, you can use RSSI (Received Signal Strength Indicator), TOA (Time of Arrival) or TDOA (Time Difference of Arrival) algorithms. These algorithms can calculate the location of the passive RF tag based on the signal strength or time difference received by the reader. Among them, the RSSI algorithm estimates the distance by measuring the signal strength and then determines the location of the tag; the TOA and TDOA algorithms calculate the location of the tag by measuring the signal arrival time or time difference.

[0073] It should be noted that in actual applications, the accuracy of RSSI, TOA and TDOA algorithms may vary due to environmental factors and signal propagation characteristics. Therefore, in actual applications, it is necessary to select a suitable algorithm to determine the location of a passive RF tag according to the specific situation.

[0074] In addition, there are certain requirements for the layout and number of multiple readers. In order to ensure positioning accuracy and coverage, the number and layout of readers need to be reasonably planned and designed according to actual scenarios and needs. At the same time, the reader signals need to be synchronized and calibrated to ensure the accuracy and consistency of signal reception and processing.

[0075] In short, using multiple readers to receive and resolve the response of passive RF tags is an effective positioning technology. High-precision, long-distance, and low-power positioning can be achieved by transmitting low-frequency excitation signals, extracting passive RF tag identifiers, and using RSSI, TOA, or TDOA algorithms to determine the tag location. In practical applications, selection and optimization are required according to specific scenarios and requirements to achieve better positioning effects and service quality.

[0076] According to an embodiment of the present invention, the acquisition rules and the response information of the passive RF tags acquired by different readers when executing the acquisition rules are acquired, and the acquisition rules and the response information are saved to the edge side database.

[0077] In one embodiment of the present invention, in order to simulate data collection in a real environment, we adopt a unique method to save the actual data. Specifically, we randomly apply a deviation of no more than 5% on the frequency or power of the excitation signal, and then save it as new data to the edge database. This method is actually a kind of artificially introduced noise, and its purpose is to simulate the uncertainty and changes in the real environment.

[0078] If this method of introducing noise is ineffective, that is, if it fails to successfully simulate the changes in the real environment, then the collection rules calculated by this method are likely to be quickly eliminated. This is because if the data is not sufficiently variable, the calculated rules may no longer adapt to the changing data distribution and will be judged invalid by the system.

[0079] In addition, this approach also helps improve the robustness of the data. Introducing random deviations during data collection can make the data more adaptable to various abnormal situations, thereby reducing the risk of model failure due to outliers in the data set. The implementation of this strategy plays an important role in improving the stability and reliability of the entire system.

[0080] According to an embodiment of the present invention, when all readers have not collected all responses of the passive RF tag, a new collection rule is selected to collect signals according to the passive RF tag selection excitation signal configured by the target device and the farthest transmission space from the target device.

[0081] According to one embodiment of the present invention, the step of calculating the posture of a component in a device model based on coordinates collected from a passive RF tag at different times includes:

[0082] Determine the spatial position of the component based on the coordinates of the passive RF tag on the component;

[0083] Determine spatial motion information of each passive RF tag in the component based on the spatial position of the component at a previous time point;

[0084] Determine the spatial position of the passive RF tag on the component at the next time point according to the spatial position of the component and the spatial motion information of each passive RF tag;

[0085] The posture of the component is determined based on the spatial position of the passive RF tag at the next time point.

[0086] The beneficial effect of the present invention is that by configuring passive RF tags, the component postures in the equipment model are calculated based on the coordinates collected by the passive RF tags at different times, so as to achieve real-time monitoring and control of the equipment postures of the fully mechanized mining face. The present invention can ensure the stability of the fully mechanized mining face and reduce the occurrence of accidents.

[0087] Those skilled in the art will appreciate that the modules and algorithm steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0088] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and equipment can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0089] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0090] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.

[0091] In addition, each functional module in the embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0092] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the energy-saving signal sending / receiving method of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical disks.

[0093] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the present application is not limited to the technical solution 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 inventive concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other.

[0094] It should be understood that the size of the sequence number of each step in the content of the invention and the embodiments of the present invention does not absolutely mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention. For the purpose of example and description, the foregoing description of the implementation of the present invention has been given. The foregoing description is not exhaustive and is not intended to limit the disclosure of the present invention to the exact form disclosed. According to the above teachings, there may be various deformations and modifications, or various deformations and modifications may be obtained from the practice of the disclosure of the present invention. These embodiments are selected and described to illustrate the principles disclosed in the present invention and their practical applications, so that those skilled in the art can use the disclosure of the present invention in various embodiments and various modifications suitable for the specific purpose of the conception.

Claims

1. A method for obtaining the equipment posture of a fully mechanized mining face, characterized in that: include: Get the device model to be tested; Obtain the label configuration contained in the device model based on the edge-side database; According to the passive RF tag configured on the target device, an excitation signal and a transmitting space farthest from the target device are selected to form a collection rule for signals in the space; Execute the collection rules at the transmitting source near or installed on the comprehensive mining equipment to obtain the response of the passive RF tag; Obtaining coordinates of the passive RF tag based on solving a response signal of the passive RF tag; Calculate the posture of the components in the device model based on the coordinates collected by the passive RF tag at different times; Update the posture of the device model according to the posture of the component; The collection rules include the identification of the expected collection device, the response strength, the transmission power, the timeout period and the transmission source.

2. The method for obtaining the equipment posture of a fully mechanized mining face according to claim 1, characterized in that: The device model to be detected divides the device components to be detected into rotating parts and non-rotating parts according to whether they are spatial rotating parts, and corresponding to multiple components with the same motion posture, the components close to the emission source are configured as the components to be detected, and labels are set on the components to be detected.

3. The method for obtaining the equipment posture of a fully mechanized mining face according to claim 2, characterized in that: When the equipment component to be detected is a non-rotating part, no less than 3 passive RF tags are set on the component to be detected, and are evenly distributed in the layout direction parallel to the comprehensive mining working face.

4. The method for obtaining the equipment posture of a fully mechanized mining face according to claim 2, characterized in that: When the device component to be detected is a rotating part, no less than 3 radial passive RF tags are set on the component to be detected, and the radial passive RF tags are evenly distributed along the rotation direction; no less than 3 axial passive RF tags are also set on the component to be detected, and the axial passive RF tags are evenly distributed along the axial direction of the rotating part.

5. The method for obtaining the equipment posture of a fully mechanized mining face according to claim 1, characterized in that: The edge database is constructed based on the historically collected responses and collection rules of the passive RF tags of the target devices, and the tag configuration contained in the device model is obtained based on the edge database, including: Get the tags configured in the device model; Based on the RF tag information contained in the tag, obtain the detected records and corresponding collection rules within 24 hours; The collection rules are deduplicated, and the association between the RF tag and the identifiable collection rule configuration is determined as the tag configuration.

6. The method for obtaining the equipment posture of a fully mechanized mining face according to claim 1, characterized in that: The passive RF tag configured according to the target device selects the excitation signal and the farthest transmission space from the target device to form a collection rule of the signal in the space, including: Determine the number of responses for different transmission frequencies, response strengths, and transmission frequencies according to the identifiable collection rules corresponding to the passive RF tag configured by the target device, wherein the number of responses is the number of the passive RF tag and the surrounding passive RF tags adjacent to the passive RF tag; The minimum interference collection rule is used as a collection rule for the passive RF tag, and the identification of the passive RF tag expected to be read is configured in the collection rule.

7. The method for obtaining the equipment posture of a fully mechanized mining face according to claim 1, characterized in that: The method of executing a collection rule at a transmitting source adjacent to or disposed on the comprehensive mining equipment to obtain a response from a passive RF tag includes: The collection rules are sorted according to the path determined by the starting point and the end point of the collection rules, and the time window for the emission source to act on the passive RF tag set on the device is determined according to the expected spatial distance of the tag reading and the collection rules. The emission source is set within the time window to emit energy and receive response signals according to the collection rules.

8. The method for obtaining the equipment posture of a fully mechanized mining face according to claim 1, characterized in that: The response to the passive RF tag is performed using no less than three readers, and the coordinates of the passive RF tag are obtained based on the solution of the response signal of the passive RF tag, including: Transmit low-frequency excitation signals, receive response signals of passive RF tags at 125KHz to 134KHz through multiple readers, and extract the identification of passive RF tags; When the identification of the passive RF tag is the identification of the expected collection device of the collection rule and all readers collect the response of the passive RF tag, the position of the passive RF tag is determined using RSSI, TOA or TDOA algorithm.

9. The method for obtaining the equipment posture of a fully mechanized mining face according to claim 8, characterized in that: Acquire collection rules and response information of passive RF tags acquired by different readers when executing the collection rules, and save the collection rules and response information to the edge side database.

10. The method for obtaining the equipment posture of a fully mechanized mining face according to claim 8, characterized in that: When all readers have not collected all responses of the passive RF tag, a new collection rule is selected to collect signals according to the passive RF tag selection excitation signal configured for the target device and the farthest transmission space from the target device.

11. The method for obtaining the equipment posture of a fully mechanized mining face according to claim 1, characterized in that: The posture calculation of the components in the device model based on the coordinates collected by the passive RF tag at different times includes: Determine the spatial position of the component based on the coordinates of the passive RF tag on the component; Determine spatial motion information of each passive RF tag in the component based on the spatial position of the component at a previous time point; Determine the spatial position of the passive RF tag on the component at the next time point according to the spatial position of the component and the spatial motion information of each passive RF tag; The posture of the component is determined based on the spatial position of the passive RF tag at the next time point.

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