CN-121982793-A - Fuel management supervisor on-duty compliance verification method and related device

CN121982793ACN 121982793 ACN121982793 ACN 121982793ACN-121982793-A

Abstract

The invention discloses a fuel management supervisor on-duty compliance verification method and a related device, belonging to the technical field of personnel management; the method comprises the steps of collecting face information of an entrance and an exit of a fuel sample preparation room and personnel data of space position information in real time, counting and judging the number of personnel in the sample preparation room in real time through a dynamic personnel number balance algorithm based on the personnel data, verifying biological characteristic identity of the personnel in the sample preparation room based on the face information in the personnel data, confirming the identity of a supervisor and the on-duty state of the supervisor, coupling the number of the personnel, the identity of the supervisor and the on-duty state of the supervisor, and generating a compliance judgment conclusion. The invention relies on living body detection and track tracking technical chains to solve the problems of identity impersonation, double collaborative verification and shift supervision, and constructs a non-repudiation responsibility tracing system. Through cross-modal data fusion and complex environment adaptation design, the problems of data island, statistical distortion and equipment reliability in the traditional technology are solved, and full-time accurate supervision is realized.

Inventors

MA CHENXI
Chai shuo
JIANG HANG
LI MENG

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: 20260505
Application Date: 20260122

Claims (10)

1. A method of fuel management supervisor on-Shift compliance verification comprising the steps of: Acquiring face information of an entrance and an exit of a fuel sample preparation room and personnel data of spatial position information in real time; based on the personnel data, counting and judging the number of personnel in a sample preparation room in real time through a dynamic population balance algorithm; based on the face information in the personnel data, carrying out biological characteristic identity verification on personnel in a sample preparation room, and confirming the identity of a supervisor and the on-duty state of the supervisor; And coupling the personnel number, the supervisor identity and the on-duty state to generate a compliance judgment conclusion.
2. The method for verifying compliance of a fuel management supervisor to a post of claim 1, wherein the step of collecting in real time face information and spatial location information of the entrance and exit of the fuel sample room comprises: the method comprises the steps that a binocular stereo camera is adopted to collect video streams, and a target detection model is utilized to carry out head detection, so that preliminary people counting is obtained; acquiring the space coordinates of a person by adopting an ultra wideband UWB positioning tag; And fusing the preliminary population statistics with the space coordinates through a Kalman filtering algorithm, eliminating counting errors caused by short stay of personnel, and obtaining real-time personnel data.
3. The fuel management supervisor-on-duty compliance verification method as claimed in claim 1, wherein said step of counting and determining the number of people in the sample room in real time by a dynamic people balancing algorithm based on said personnel data, comprises the steps of: And establishing a space-time correlation model, and judging as an effective entering or leaving action when the facial features of the same person are captured by cameras of different entrances and exits in a preset time window, and correspondingly updating the number of real-time persons in the sample preparation area.
4. The fuel management supervisor-on-duty compliance verification method as claimed in claim 1, wherein said biometric identity verification method comprises: comparing the acquired face information with a pre-stored white list biological characteristic database, and verifying whether the personnel is an authorized supervisor; And verifying that the binding relation between the face information and the RFID chip is consistent, and confirming the identity verification as effective identity verification.
5. The fuel management supervisor-to-post compliance verification method as claimed in claim 1, wherein said on-post verification method comprises: And continuously tracking the locus of the supervisor passing the identity verification through a DeepSORT algorithm, updating the position coordinates of the supervisor in real time, and judging that the supervisor is in an off-duty state if the supervisor is monitored to leave the preset electronic fence area and exceed a time threshold.
6. The fuel management supervisor-to-post compliance verification method as claimed in claim 1, wherein said step of coupling said number of people, supervisor identity and their on-post status to generate a compliance decision comprises: A compliance is determined when the following conditions are satisfied at the same time: a. at least one authorized supervisor is on duty; b. The number of people in the sample preparation room does not exceed a preset threshold value; c. the binding consistency of the face information and the identity information of all people in the sample preparation room reaches the preset confidence.
7. The fuel management supervisor-on-Shift compliance verification method as defined in claim 1, further comprising: Triggering a grading alarm and executing corresponding equipment linkage control when the compliance judgment conclusion is that the compliance is not in compliance; The hierarchical alert includes: a. When the monitor deviates from the preset area by more than a distance threshold value, touching for prompting; b. And (3) secondary alarming, namely pushing alarm information to the central control platform when a key post supervisor is absent, and executing equipment control instructions, wherein the equipment control instructions comprise limiting or cutting off the operation of the sampling equipment.
8. A fuel management supervisor-on-Shift compliance verification system, comprising: The personnel data acquisition module is used for acquiring personnel data of face information and space position information of an entrance and an exit of the fuel sample preparation room in real time; the personnel number calculation module is used for counting and judging the number of the personnel in the sample preparation room in real time through a dynamic personnel number balance algorithm based on the personnel data; The identity state verification module is used for verifying the biological characteristic identity of the personnel in the sample preparation room based on the face information in the personnel data and confirming the identity of the supervisor and the on-duty state of the supervisor; and the compliance judging module is used for coupling the personnel number, the supervisor identity and the on-duty state thereof and generating a compliance judging conclusion.
9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of a fuel management supervisor-to-post compliance verification method as claimed in any one of claims 1-7.
10. A computer readable storage medium storing a computer program which when executed by a processor implements the steps of a fuel management supervisor-on-Shift compliance verification method as claimed in any one of claims 1-7.

Description

Fuel management supervisor on-duty compliance verification method and related device Technical Field The invention belongs to the technical field of personnel management, and relates to a fuel management supervisor on-duty compliance verification method and a related device. Background In the production operation of a thermal power plant, the cost of fuel (mainly coal) occupies more than 60% of the total cost, and the quality control of the acceptance link of the fuel is directly related to the economic benefit and the safe production of enterprises. The fuel sampling and sample preparation are the first key process for ensuring the fairness and accuracy of the acceptance data, and the process generally requires the simultaneous presence and collaborative operation of a sampler and a fuel management supervisor so as to form an effective supervision and restriction mechanism and prevent fraud such as secondary filling, data tampering and the like. At present, the supervision and management of the fuel sampling supervisor on-duty condition in the industry mainly depends on the following traditional technical schemes, and firstly, a manual standing book registration mode. This is the most common basic management mode, with the on-duty, off-duty and on-time of the supervisor being manually recorded by a team leader or related personnel via a paper log or spreadsheet (e.g., excel). The mode has low statistical precision, is easily interfered by subjective factors, can easily modify recorded information and lacks objective evidence support. Second, a tablet or IC card access authentication mode. And an entrance guard system is deployed at an entrance of a factory with higher modernization degree, a supervisor needs to swipe a card to enter, and the system records the card swiping time as an on-duty basis. However, this technique presents a fatal "identity impersonation" risk. The work card or the IC card is used as a physical certificate, is extremely easy to be transferred, substituted and brushed or stolen, and cannot effectively bind the unique identity of an actual operator. In practice, the 'human-card separation' event happens for many times, namely, the card of the supervisor is used by unauthorized personnel to enter a sample preparation room to carry out illegal operation, so that key data such as fuel heat value and the like are tampered, and great economic loss is brought to enterprises. Third, random spot check and video monitoring mode. Some businesses conduct supervision by security personnel on irregular site patrols or by reviewing monitoring videos from a sample room. But this mode has very low coverage (typically less than 10%) and severe hysteresis. Random spot inspection cannot realize supervision of all time periods and no dead angle, but video monitoring is mostly only used for retrospective verification, lacks intelligent analysis capability, and cannot generate real-time early warning when illegal behaviors occur. In summary, the reliability, instantaneity and accuracy of the on-Shift compliance verification of the fuel management supervisor are seriously insufficient in the prior art due to the fact that the reliable binding of the biological characteristics of the personnel cannot be realized, the lack of real-time dynamic monitoring of the on-Shift state and the serious problem of data island exist. This not only brings great risk to the enterprise's fuel quality control, but also makes responsibility tracing extremely difficult after fraud occurs. Disclosure of Invention The invention aims to provide a fuel management supervisor on-duty compliance verification method and a related device, which are used for solving the technical problems that the reliability, the instantaneity and the accuracy of the supervisor on-duty compliance verification are poor and the fuel quality management risk is increased in the prior art. In order to achieve the purpose, the invention is realized by adopting the following technical scheme: in a first aspect, the present invention provides a fuel management supervisor on-duty compliance verification method comprising the steps of: Acquiring face information of an entrance and an exit of a fuel sample preparation room and personnel data of spatial position information in real time; based on the personnel data, counting and judging the number of personnel in a sample preparation room in real time through a dynamic population balance algorithm; based on the face information in the personnel data, carrying out biological characteristic identity verification on personnel in a sample preparation room, and confirming the identity of a supervisor and the on-duty state of the supervisor; And coupling the personnel number, the supervisor identity and the on-duty state to generate a compliance judgment conclusion. Further, the step of collecting the face information and the personnel data of the space position information of the entrance and the exit of the fuel sampl