CN-121999566-A - Real-time detection and illegal replacement early warning method for coal sample bags

Abstract

The invention discloses a real-time detection and illegal replacement early warning method for a coal sample bag, which comprises sample initialization and monitoring start, sample circulation monitoring and illegal early warning, authorized unpacking and monitoring termination, a coal sample bag provided with a flexible electronic tag and anti-fake textures, a radio-frequency radar and a video camera which are arranged at key nodes of a circulation path, an inference server which is in signal connection with the radio-frequency radar and the video camera and is used for running an inference algorithm, a personnel identity verification device and an anti-fake texture recognition device which are arranged at unpacking using nodes, and three core modules of ‌ anti-fake mark reinforcement, multidimensional state perception and intelligent risk research ‌.

Inventors

• MA CHENXI
• CHEN JUNQIANG
• LIN YIJIE
• GONG ZIYI
• HAN XU

Assignees

• 西安热工研究院有限公司
• 华能上海石洞口发电有限责任公司

Dates

Publication Date

20260508

Application Date

20260123

Claims (8)

1. 1. The real-time detection and illegal replacement early warning method for the coal sample bag is characterized by comprising the following steps of: S1, sample initialization and monitoring start: Arranging a flexible electronic tag on a coal sample bag body, after packaging a sample, spraying anti-counterfeiting textures on a cross-bag body and a region of the flexible electronic tag, and writing a unique identification code into the flexible electronic tag; Starting monitoring detection of the sample bag attached with the flexible electronic tag; s2, sample circulation monitoring and violation early warning; s3, authorized unpacking and monitoring are terminated; Verifying the identity of an operator at a sample unpacking using node, and after the identity verification is passed, identifying and verifying anti-counterfeiting textures on the sample bag; If the anti-counterfeiting texture passes the verification, the sample bag is authorized to be unpacked, and when the sample bag is detected to be unpacked later, the unpacked state of the sample is confirmed, and the monitoring detection of the sample bag is stopped.
2. 2. The method according to claim 1, wherein in step S2, during the circulation of the sample bag, the sample bag is continuously detected by the radio frequency radar, so as to realize the identification of the sample bag and the confirmation of the range of the active area; Synchronously, acquiring images of the sample bag through a camera, and analyzing the images based on an inference algorithm to realize accurate position positioning and detection of an unsealed state of the sample bag; if the positioning of the sample bag is lost or the sample bag is detected to be unpacked, illegal early warning information is generated and reported.
3. 3. The method according to claim 1, wherein step S3 specifically comprises: S31, an operator performs identity verification through a personnel identity verification device; S32, unlocking the use authority of the anti-counterfeiting texture recognition device after the identity verification is passed; s33, acquiring and identifying anti-counterfeiting textures on the sample bag through the anti-counterfeiting texture identification device; And S34, after the anti-counterfeiting texture verification is passed, the sample bag is authorized to be unpacked.
4. 4. A method according to claim 3, characterized in that after verification in step S34, if a sample bag tamper is detected, updating the sample status to authorized tamper is performed and the detection of the sample bag by the radio frequency radar and camera is stopped.
5. 5. The method of claim 1 or 4, wherein the security texture is a randomly generated, non-replicable pattern of physical textures, and the security texture is associated with an identification code within the flexible electronic tag.
6. 6. The method of claim 1, wherein the radio frequency radar is an ultra wideband radar for centimeter-level accurate spatial localization and trajectory tracking of the sample bag to which the flexible electronic tag is attached.
7. 7. The method of claim 1, wherein the inference algorithm is a deep learning based image recognition algorithm for identifying visual features, location and seal integrity of the sample bag.
8. 8. The method of claim 1, wherein the flexible electronic tag is a passive ultrahigh frequency radio frequency identification tag.

Description

Real-time detection and illegal replacement early warning method for coal sample bags Technical Field The invention belongs to the field of supervision of thermal power coal mining and chemical operation, and relates to a supervision and abnormality early warning method for a coal sample circulation process. Background In the process of fuel collection and preparation in a thermal power plant, a coal sample bag is used as a carrier of fuel quality data, and the integrity and the authenticity of the coal sample bag directly determine the reliability of an assay result. In the acceptance process of fuel entering factories, coal samples need to undergo multiple procedures such as sampling, shrinkage dividing, packaging, transportation, testing and the like, and the packaging and circulation process of sample bags has artificial fraud risks for a long time. Part of factory side personnel are used for covering up the quality defect of fuel or obtaining illegal benefits, and systematic control of test results is usually carried out by means of replacing a sample bag (replacing a bad sample with a good-quality coal sample), breaking the sealing property of a package (such as wetting or pollution of the sample caused by puncturing a bag body) or forging label information (falsifying sampling time and place identification). Such fraud not only causes the distortion of fuel cost accounting of the power plant and frequent settlement disputes of suppliers, but also can cause production potential safety hazards such as reduced combustion efficiency of the boiler, excessive pollutant emission and the like due to coal quality data misalignment. Traditional sample bag management relies on manual recording, paper labels and periodic spot inspection, and the supervision blind area is obvious. For example, the sample bag may be maliciously packaged during transportation, and the tightness detection of the packaging link only depends on visual inspection, so that fine breakage cannot be identified, and the label information is easy to tamper or reuse by adopting a handwriting or common printing mode. In the prior art, although digital identification means such as bar codes, RFID labels and the like are introduced, the risk of separating the labels from the bag body still exists, and the capability of monitoring the physical state (such as integrity and tightness) of the sample bag in real time is lacking. Under the background, a real-time detection and fraud early warning system covering the whole life cycle of a sample bag needs to be constructed, and space-time nodes where fraud actions occur are locked through technical means to form an undeniable electronic evidence chain. The defects and the shortcomings of the prior art are that the current supervision technical system for the coal sample bags has multiple defects, and is difficult to effectively cope with the factory side fraud behavior: 1.‌ the identification technology has the defect of ‌ that the existing identification schemes such as bar codes, RFID labels and the like are easy to copy or peel off, and a fraudster can tamper with the identity information of the sample bag by replacing the labels, reusing old identifications or forging electronic signals. Meanwhile, the binding of the label and the bag body lacks a physical anti-disassembly mechanism, and the corresponding relation between the mark and the sample is difficult to verify. For example, RFID tags may be transferred to other sample bags, and the system cannot perceive such illegal operations. 2.‌ After package state monitoring, ‌, the traditional tightness detection relies on manual spot check or off-line instrument analysis, and can not capture abnormal behaviors such as package breakage, secondary unsealing and the like in real time. The existing optical detection equipment (such as a camera) is limited by resolution and ambient illumination conditions, so that tiny pinholes or glue seal failures are difficult to identify, and single parameter monitoring means such as a weight sensor and the like are easy to be interfered by ambient vibration and sample humidity change, so that the false alarm rate is higher. The detection blind area can be utilized by the cheater to implement destructive operation in the non-sampling period. 3.‌ The traceability of the circulation process is weak ‌, namely, in a transport link from packaging to assay of a sample bag, the existing monitoring system mostly adopts discrete records (such as node scanning codes and fixed-point cameras) and lacks continuous space-time track tracking. The counterfeiters can exchange the sample bags in the monitoring blind areas (such as the interior of the transport vehicle and corners of the warehouse), and the system cannot restore the complete operation chain through fragmented data. In addition, the prior art does not realize real-time association analysis of sample bag state data (such as position, tightness and weight) and operation lo