Anti-cheating method and system for detection and inspection of mining equipment

Abstract

The invention discloses an anti-cheating method and system for detection and inspection of mining equipment. The anti-cheating method comprises the following steps: acquiring the attribute of a first probing object; the first probing object with the attribute meeting the requirement is used for inputting information of the detected object; when information is input, the supervision end collects a first probing element of the first probing object, and first element analysis is carried out; and detecting the input detected object according to an analysis result of the first element. And cheating behaviors can be effectively prevented, and detection personnel are ensured to operate according to specifications and arrive at equipment sites on time. Through adaptive constraint threshold, historical operation time analysis and real-time monitoring, the accuracy and transparency of the detection process are improved. The system automatically generates the certification and the detection report, provides rich data support for enterprises, is beneficial to improving the working efficiency, guaranteeing the production safety, optimizing the management process, and promoting the improvement of the intelligent supervision and enterprise management level.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment testing and inspection, and in particular to an anti-cheating method and system for detecting and inspecting mining equipment. Background Art

[0002] The traditional personnel detection methods in the current industry often have many drawbacks. For example, relying solely on manual records or simple clock-in and check-in mechanisms is prone to cheating such as clock-in and false check-in, and it is difficult to achieve accurate location verification, and it is impossible to ensure that the personnel are truly within the specific range of the equipment site. In addition, some detection solutions based on ordinary radio frequency identification (RFID) technology, although they can achieve identity recognition and location perception to a certain extent, are vulnerable to external interference or malicious use due to their relatively long communication distance, and have limited security and anti-cheating capabilities.

[0003] The industry is in urgent need of improvement. Integrating resources, optimizing processes, and strengthening data management and information sharing have become top priorities. Realizing full-process monitoring and standardized management are the key to improving industry standards and ensuring safe production in mines. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is that the existing mining equipment detection method has the problem of proxy punching or false detection, and there are non-compliance situations in the detection process.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for detecting and inspecting mining equipment to prevent cheating, comprising:

[0007] Get the properties of the first probe object;

[0008] Using the first probe object whose own attributes meet the requirements, input the information of the inspected object;

[0009] When inputting information, the supervisory end collects the first probe element of the first probe object and performs first element analysis;

[0010] According to the analysis result of the first factor, the input object to be inspected is inspected.

[0011] As a preferred solution of the method for anti-cheating in mining equipment detection and inspection described in the present invention, the self-attribute includes verifying the first probe object to confirm whether it meets the qualification of the probe detection.

[0012] As a preferred solution of the anti-cheating method for mining equipment detection and inspection according to the present invention, wherein: the object to be inspected includes a to-be-detected object with a unique QR code or NFC tag.

[0013] As a preferred solution of the anti-cheating method for mining equipment detection and inspection according to the present invention, wherein: the information entry of the object to be inspected includes that the first probing object collects the QR code or NFC tag of the object to be inspected through an entry device, and the system automatically obtains the detailed information of the object to be inspected.

[0014] As a preferred solution of the anti-cheating method for mining equipment detection and inspection according to the present invention, wherein: after the information entry of the object to be inspected is completed, the on-site detection of the object to be inspected is supervised in real time through the supervision terminal.

[0015] As a preferred solution of the anti-cheating method for mining equipment detection and inspection according to the present invention, wherein: the first probing elements include but are not limited to, when the information of the object to be inspected is entered, obtaining the entry time and the position of the first probing object;

[0016] The first element analysis includes using an adaptive constraint threshold setting to constrain the first element; if the constraint is satisfied, it is determined that the detection behavior is normal; if the constraint is not satisfied, it is determined that the detection behavior is abnormal, a warning is popped up and recorded;

[0017] The adaptive constraint threshold setting includes, during the manual detection process, accumulating the historical operation time of each technician who performs equipment detection for each probing; constructing a functional relationship between the accumulated historical operation time and the total stay time, and a functional relationship with the stay time of each device; obtaining the total stay time and the stay time of each device according to the accumulated historical operation time, as the constraints on the total stay time of the technician at the detection position and the stay time of the technician in the detectable area of each device;

[0018] The detectable area includes the maximum area where the detection behavior can be normally performed when a single device is detected.

[0019] As a preferred solution of the anti-cheating method for mining equipment detection and inspection according to the present invention, wherein: the detection of the entered object to be inspected includes, when the detection and inspection work is completed and the result is determined to be qualified, generating a certificate including but not limited to detailed equipment information, detection results, and validity period according to a preset template and detection data.

[0020] An anti-cheating system for mining equipment detection and inspection using the method as described in the present invention, characterized in that:

[0021] The acquisition unit acquires the self-attributes of the first probing object;

[0022] The input unit uses the first probing object whose self-attributes meet the requirements to input the information of the object to be inspected;

[0023] The analysis unit, when the information is input at the supervision end, acquires the first probing elements of the first probing object and conducts the first element analysis; according to the analysis result of the first element, it detects the input object to be inspected.

[0024] A computer device includes: a memory and a processor; the memory stores a computer program, wherein: when the processor executes the computer program, the steps of the method described in any one of the present inventions are implemented.

[0025] A computer-readable storage medium stores a computer program thereon, wherein: when the computer program is executed by a processor, the steps of the method described in any one of the present inventions are implemented.

[0026] Advantages of the present invention: The anti-cheating method for the detection and inspection of mining equipment provided by the present invention can effectively prevent cheating behaviors, ensure that the inspectors operate according to the specifications and arrive at the equipment site on time. Through the adaptive constraint threshold, historical operation time analysis and real-time monitoring, the accuracy and transparency of the detection process are improved. The system automatically generates a certificate of compliance and a test report, providing rich data support for the enterprise, helping to improve work efficiency, ensure production safety, optimize the management process, and promote the improvement of intelligent supervision and enterprise management levels. Description of the Drawings

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only 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.

[0028] Figure 1 It is the overall flowchart of an anti-cheating method for the detection and inspection of mining equipment provided by the first embodiment of the present invention. Detailed Embodiments

[0029] To make the above objects, features and advantages of the present invention more obvious and understandable, the following will describe the detailed embodiments of the present invention in conjunction with the drawings of the specification. 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 of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0030] Example 1, reference Figure 1 , which is an embodiment of the present invention, provides a method for detecting and checking anti-cheating of mining equipment, comprising:

[0031] S1: Obtain the properties of the first probe object.

[0032] The first probe object is verified to determine whether it meets the qualifications for the probe detection.

[0033] In this embodiment, the first probe object is the technician. Before the equipment detection and inspection work is started, the management system sets a strict and intelligent entry process. For personnel involved in the detection and inspection, face recognition confirmation entry must be performed, mainly with the help of face recognition technology, through high-definition cameras to capture the facial features of personnel, and accurately compare with the personnel information pre-stored in the system. Only when the face recognition is successful and the person is confirmed to be an authorized professional detection and inspection personnel, his information will be officially entered into the system, thereby ensuring that the personnel involved in the work have the corresponding qualifications and identity authenticity.

[0034] In an optional embodiment, the first probe object can also be a smart probe for detection. The system can use the unique identifier (such as RFID number or QR code) of the smart probe to verify that the probe has passed the quality inspection and meets the technical requirements of the current detection task. At the same time, the system can also confirm the status before detection based on the working status and historical data of the probe to ensure that the probe is in normal working conditions. Before the detection begins, the management system will compare the unique identification information of the probe with the equipment information in the database to verify whether it is a legal and calibrated device. If the verification is successful, the system will automatically register the detailed information of the smart probe, including model, usage status, recent calibration records, etc., for subsequent traceability and quality management. If the verification fails, the system will issue a warning and prevent the device from participating in the detection task to prevent the use of unqualified equipment from causing distortion of the detection data.

[0035] S2: Using the first probe object whose own attributes meet the requirements, the information of the inspected object is input.

[0036] For the instruments and equipment used, it is required to confirm and enter information by scanning the code. Each instrument and equipment is equipped with a unique QR code or NFC tag. After the inspector uses a professional code scanning device or a terminal that supports the NFC function to scan, the system automatically obtains detailed information about the equipment, including equipment model, calibration date, performance parameters, etc. Only when the personnel and equipment information are accurately entered, the system will be unlocked and allow normal testing and inspection work.

[0037] NFC related technologies:

[0038] Protocol: NFC near-field communication based on ISO / IEC 14443.

[0039] Distance: The communication distance of NFC technology is precisely limited within 10 centimeters. First of all, from the perspective of detection accuracy, the short distance of 10 centimeters requires personnel to bring their Android devices very close to the physical tags at the device site to achieve communication, which greatly reduces the possibility of misjudgment. Secondly, short-distance communication can also improve the security of the system. Since the signal propagation range is limited, it is difficult for external attackers to intercept the communication data, reducing the risk of data leakage and malicious attacks. In addition, the 10-centimeter communication distance limit also helps to reduce energy consumption because NFC devices require less power during short-distance communication, meeting the energy-saving requirements of mobile devices, thus extending the battery life of Android devices and ensuring the sustainability of the system in practical applications.

[0040] Mode: In the personnel detection system, NFC technology mainly adopts the read-write mode, that is, the Android device acts as a reader to actively interact with the physical tags at the scene. This mode endows the system with powerful functions and flexibility. In the reader mode, the Android device can actively send radio frequency signals to activate and read the information in the physical tags placed at the device site.

[0041] Physical tags: In order to achieve perfect cooperation with NFC technology, flexible adhesive RFID electronic tags based on the read-write mode are selected as the physical identifiers at the scene. This kind of tag has many unique advantages. First of all, the flexible adhesive material enables the tag to be easily pasted on the surfaces of various devices with different shapes and materials. Whether it is a metal device or a plastic shell, it can be firmly attached without causing any interference to the normal operation of the device. Secondly, the RFID electronic tag supports custom read-write functions, which provides great convenience for realizing personalized data management in the system.

[0042] Custom Card Storage: In the entity label, we have custom-written our own label recognition sequence, which plays a crucial role in enhancing the anti-cheating ability of the system. The exclusive label recognition sequence is like a unique identity identifier, and each label has unique encoded information. When the Android device reads the label, it can not only obtain the basic information in the label but also verify whether the recognition sequence of the label matches the preset design institute standard sequence. This dual-verification mechanism greatly improves the security and reliability of the system. Even if someone tries to forge a label or tamper with the label information, the system can quickly identify and reject access to illegal labels because the correct recognition sequence cannot be obtained, thus effectively preventing cheating behavior. At the same time, our own label recognition sequence also facilitates the management and maintenance of the system. Through the unified management of the label recognition sequence, we can clearly trace the usage, affiliated devices, and related operation records of each label, which is convenient for quick troubleshooting and positioning in case of problems, ensuring the stable operation of the entire personnel detection system.

[0043] Recognition Process: On the Android side, an NFC RFIFD label recognition SDK based on the Android system is encapsulated to achieve efficient and accurate label content detection. As a bridge connecting the hardware device (NFC chip) and the upper-layer application, this SDK provides a series of simple and easy-to-use interfaces and tools, making it more convenient and efficient to implement the NFC label recognition function on the Android platform. During the recognition process, when the user brings the Android device close to the entity label, the NFC chip first detects the presence of the label and sends a corresponding signal to the application through the SDK. Then, the SDK uses the built-in algorithm and protocol parsing module to decode and analyze the radio frequency signal returned by the label, extracting various information stored in the label, including our custom label recognition sequence and other relevant data. At the same time, the SDK is also responsible for verifying the integrity and accuracy of the extracted data to ensure that the data has not been damaged or tampered with during transmission. Once the data verification passes, the application will further process the label content according to the preset business logic, such as determining whether the person has arrived at the specified device site, recording the operation time, etc., and feedback the results to the user or upload them to the backend management system, realizing the automation and intelligence of the entire recognition process.

[0044] S3: When the regulatory end enters information, it collects the first intrusion elements of the first intrusion object and conducts the first element analysis.

[0045] After the object under inspection completes information entry, the regulatory end conducts real-time supervision on the on-site inspection of the object under inspection.

[0046] In this embodiment, the first probing element is time and location information. When entering the information of the object to be inspected, the input time and the location of the first probing object are obtained. The platform automatically records the start time and end time of the work with the help of a built-in high-precision clock and advanced geographic location positioning technology, providing a clear timeline for the entire work process. At the same time, the recorded geographic location positioning information can be accurate to longitude and latitude, clearly defining the specific location where the work is carried out. This not only helps to trace the work trajectory and ensure that the work is carried out at the specified location, but also provides an important basis for subsequent data analysis and problem troubleshooting.

[0047] The first element analysis includes using an adaptive constraint threshold setting to constrain the first element; if the constraint is satisfied, it is determined that the detection behavior is normal; if the constraint is not satisfied, it is determined that the detection behavior is abnormal, and a warning is popped up and recorded.

[0048] The adaptive constraint threshold setting includes, during the manual detection process, accumulating the historical operation time for each technician who performs equipment detection during the probing; constructing a functional relationship between the accumulated historical operation time and the total stay time, and a functional relationship with the stay time of each device; obtaining the total stay time and the stay time of each device according to the accumulated historical operation time, as the constraints on the total stay time of the technician at the detection location and the stay time of the technician in the detectable area of each device. The detectable area includes the maximum area where the detection behavior can be normally performed when detecting a single device.

[0049] In an alternative embodiment, the first probing element can also be an intelligent probe, and the operation behavior of the intelligent probe can also be monitored as the first element. The operation log of the probe is recorded, such as start time, stop time, sensor adjustment, and abnormal behaviors during data collection. During the detection process, the intelligent probe will transmit detection feedback information to the supervision end in real time. If the probe does not execute according to the predetermined operation process, the system can judge whether there is an abnormal operation based on the behavior data.

[0050] For the first element of the intelligent probe, the supervision system can apply an adaptive constraint threshold for analysis:

[0051] Device status analysis: By setting thresholds for the battery power, sensor status, etc. of the intelligent probe, the system can judge whether the device is in a normal working state. If the battery power is too low or a certain sensor fails, the system will immediately give a warning to avoid using unqualified equipment for detection.

[0052] Environmental data analysis: By setting thresholds for parameters such as temperature and humidity in the area where the probe is located, it is determined whether the environment is suitable for the operation of the device. For example, too high temperature or too high humidity may lead to a decline in device performance, and the system can give an early warning to the detected environment to ensure that the environmental conditions meet the detection requirements.

[0053] Analysis of operation behavior: Based on the operation behavior records of the intelligent probe, the system can determine whether it conducts detections according to the predetermined operation process. For example, when the probe fails to collect data on time during certain key operations, the system will issue a warning and record the behavior.

[0054] S4: According to the analysis result of the first element, detect the inspected object entered.

[0055] After the detection and inspection work is completed and the result is judged to be qualified, according to the preset template and detection data, a certificate of compliance is generated, which includes but is not limited to detailed device information, detection results, and validity period.

[0056] According to the detection and inspection results of the inspected equipment, the management system has an automatic generation function and can generate a safety detection and inspection certificate (including QR code or NFC) for the qualified inspected equipment. After the detection and inspection work is completed and the result is judged to be qualified, the system immediately generates a certificate of compliance containing key contents such as detailed device information, detection results, and validity period according to the preset template and detection data. The QR code or NFC tag on the generated safety detection and inspection certificate contains rich and diverse information. In addition to conventional information such as the basic device name, model, and manufacturer, it also covers specific items of this detection and inspection, detection values, standard basis, as well as signatures of the detection personnel and review personnel. At the same time, to ensure information security, the system uses advanced encryption technology to encrypt the data in the QR code and NFC tag. Only authorized devices and application programs can correctly interpret the information therein, preventing information leakage and tampering.

[0057] Embodiment 2, this embodiment also provides a system for preventing cheating in the detection and inspection of mining equipment, which includes:

[0058] A collection unit, which obtains the own attributes of the first penetrated object.

[0059] An input unit, which uses the first penetrated object whose own attributes meet the requirements to input the information of the inspected object.

[0060] An analysis unit, when the information is input at the supervision end, collects the first penetration elements of the first penetrated object and conducts first element analysis; according to the analysis result of the first element, detect the inspected object entered.

[0061] If the above functions 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 this 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 may 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 foregoing storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, etc., all of which can store program codes.

[0062] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or used in combination with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

[0063] More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connection parts (electronic devices) having one or more wirings, portable computer disk cartridges (magnetic devices), random access memories (RAMs), read-only memories (ROMs), erasable programmable read-only memories (EPROMs or flash memories), optical fiber devices, and portable compact disc read-only memories (CDROMs). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or otherwise processing it as necessary, and then storing it in a computer memory.

[0064] It should be understood that each part of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits with logic gate circuits for implementing logic functions on data signals, application-specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0065] Embodiment 3, an embodiment of the present invention, provides an anti-cheating method for the detection and inspection of mining equipment. During the maintenance of mining equipment in an underground mine, an enterprise needs to regularly detect and inspect the mining equipment. Due to the complex underground environment, the large number of equipment and the difficult management, traditional manual inspections and equipment detections are prone to omissions, misoperations, and human cheating behaviors. To ensure the accuracy and legality of the detection data, the enterprise decides to introduce the anti-cheating method for the detection and inspection of mining equipment of the present invention, and conducts equipment detection through intelligent probes and a real-time monitoring system.

[0066] Before the detection work starts, the mining enterprise authenticates the identities of all technicians participating in the equipment detection through the management system. Technicians need to confirm their identities through the face recognition system to ensure that they have the relevant qualifications and authorizations.

[0067] Data example: Suppose there are 10 technicians conducting equipment detection, and each technician successfully passes the face recognition verification. The system records the verification time of each person (for example: the verification time of Technician A is 2024-12-27 08:00:00).

[0068] Technicians enter the QR code or NFC tag information of the equipment, and the system will automatically obtain the detailed data of the equipment to be inspected, including the equipment number, model, last detection time, etc.

[0069] Data example: Equipment number "D-1001", model "Cat-150", last detection time is 2024-12-10, and the current equipment status is "to be inspected".

[0070] The system will record the current location and timestamp of the equipment in real time as the first intrusion element.

[0071] Data example: The current location of equipment D-1001 is "Area B of the underground mining area", and the timestamp is 2024-12-27 08:15:00.

[0072] The system performs an adaptive constraint threshold analysis on the first element, such as setting the maximum stay time of technicians during equipment detection and the maximum detectable area of the equipment. Based on historical operation data, the system determines whether the work behavior of technicians complies with the specified detection process.

[0073] Through the data monitoring platform, the supervision terminal can view the progress of each detection task in real time and obtain the real-time data of technicians and intelligent probes, including time, location, equipment status, etc.

[0074] Data example: Detection log of Technician B:

[0075] Equipment number: D-1002.

[0076] Detection start time: 2024-12-27 08:30:00.

[0077] Detection end time: 2024-12-27 08:35:00.

[0078] Current location: Area A of the underground mining area.

[0079] Status: Normal.

[0080] When the system detects any abnormalities (such as location mismatch, too fast operation, etc.), it will immediately issue a warning through the platform, and the supervision personnel can take timely measures to intervene to ensure that the detection behavior complies with the regulations.

[0081] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A method for preventing cheating in mining equipment detection and inspection, characterized in that: include: Get the properties of the first probe object; Using the first probe object whose own attributes meet the requirements, input the information of the inspected object; When inputting information, the supervisory end collects the first probe element of the first probe object and performs first element analysis; According to the analysis result of the first factor, the input object to be inspected is inspected.

2. The anti-cheating method for mining equipment detection and inspection according to claim 1, characterized in that: The own attributes include verifying the first probe object to confirm whether it meets the qualifications for probe detection.

3. The anti-cheating method for mining equipment detection and inspection according to claim 2 is characterized in that: The inspected object includes an object to be inspected having a unique two-dimensional code or an NFC tag.

4. The anti-cheating method for mining equipment detection and inspection according to claim 3 is characterized in that: The information entry of the inspected object includes: the first probing object collects the QR code or NFC tag of the inspected object through an entry device, and the system automatically obtains detailed information of the inspected object.

5. The anti-cheating method for mining equipment detection and inspection according to claim 4 is characterized in that: After the inspected object completes the information entry, the on-site inspection of the inspected object is supervised in real time through the supervision terminal.

6. The anti-cheating method for mining equipment detection and inspection according to claim 5, characterized in that: The first probe element includes, but is not limited to, obtaining the time of entry when entering the information of the subject, and the position of the first probe object; The first factor analysis includes constraining the first factor using an adaptive constraint threshold setting; if the constraint is satisfied, determining that the detection behavior is normal; If the constraints are not met, the detection behavior is judged to be abnormal, and an alert is popped up and recorded; The adaptive constraint threshold setting includes, during the manual inspection process, accumulating the historical operation time of each technician who enters to inspect the equipment; constructing a functional relationship between the accumulated historical operation time and the total stay time and the stay time of each device; obtaining the total stay time and the stay time of each device based on the accumulated historical operation time as constraints on the total stay time of the technician at the inspection location and the stay time of the technician in the detectable area of ​​each device; The detectable area includes the maximum area where detection behavior can be performed normally when detecting a single device.

7. The anti-cheating method for mining equipment detection and inspection according to claim 6, characterized in that: The testing of the entered inspected object includes, when the testing and inspection work is completed and the result is judged to be qualified, generating a certificate including but not limited to detailed equipment information, test results, and validity period according to a preset template and test data.

8. A system for detecting and checking anti-cheating of mining equipment using the method according to any one of claims 1 to 7, characterized in that: A collection unit, which obtains the properties of the first probe object; An input unit, using the first probe object whose own attributes meet the requirements, to input information of the inspected object; The analysis unit collects the first probe element of the first probe object and performs first element analysis when the information is entered; and detects the entered object according to the analysis result of the first element.

9. A computer device comprising: A memory and a processor; the memory stores a computer program, wherein the processor implements the steps of any method as claimed in claim 1 when executing the computer program.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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