A device operation and maintenance method and system based on multi-source fusion positioning

Abstract

The application discloses a kind of based on multi-source fusion positioning equipment operation and maintenance method and system, carry the access control layout position in access control passage verification event signal as security reference anchor point, extract its real-time electromagnetic field interference characteristic parameter and compare with standard reference interference characteristic parameter to detect signal offset error, and then utilize space fitting deduction algorithm to carry out global deduction correction to the signal offset error of multiple security reference anchor points, generate signal offset compensation field, adaptively correct illegal early warning trigger interference boundary;While according to multi-source monitoring signal and security monitoring equipment operating state signal carries out electromagnetic field interference abnormality grade determination and outputs early warning trigger credibility, the corrected early warning trigger interference boundary is judged in conjunction with early warning trigger credibility to trigger graded early warning.The application realizes the adaptive calibration of signal drift and the quantitative evaluation of early warning credibility, significantly improves the accuracy and reliability of the cross-border monitoring.

Description

Technical Field

[0001] This invention relates to the field of security monitoring technology, specifically to a device operation and maintenance method and system based on multi-source fusion positioning. Background Technology

[0002] With the increasing demands for industrial security, the use of multi-source signals such as satellites and near-field beacons for personnel and equipment fusion positioning and boundary crossing detection has become a mainstream solution. These systems typically preset fixed signal thresholds as the basis for boundary crossing judgment. However, the complex and ever-changing industrial environment, including equipment start-up and shutdown, and the movement of metal objects, causes continuous and unpredictable drift in signal propagation characteristics. This drift makes it difficult for fixed judgment thresholds to maintain accuracy over the long term. The system either generates numerous invalid alarms due to overly sensitive thresholds or misses genuine boundary crossings due to overly insensitive thresholds, resulting in the reliability of the security system heavily reliant on frequent manual calibration and maintenance. Therefore, enabling boundary crossing detection systems to automatically adapt to signal drift and maintain stable and reliable early warning capabilities amidst dynamic environmental changes is crucial for improving the level of security intelligence. Summary of the Invention

[0003] In view of the above problems, the present invention provides a device operation and maintenance method and system based on multi-source fusion positioning.

[0004] To achieve the above objectives, in a first aspect, this application provides a device operation and maintenance method based on multi-source fusion positioning, comprising:

[0005] Acquire multi-source monitoring signals and security monitoring equipment operation status signals. The multi-source monitoring signals include satellite monitoring signals, near-field beacon signals, and access control verification event signals.

[0006] The access control deployment location carried in the access control verification event signal is used as the security reference anchor point. Real-time electromagnetic field interference feature parameters at the security reference anchor point are extracted. The real-time electromagnetic field interference feature parameters are matched and compared with the pre-stored standard reference interference feature parameters to detect the signal offset error. The signal offset error of multiple security reference anchor points is extrapolated and corrected in the whole domain using a spatial fitting and extrapolation algorithm to generate a signal offset compensation field.

[0007] Based on the signal offset compensation field, the preset violation warning triggering interference boundary is adaptively corrected and updated.

[0008] Based on the multi-source monitoring signals and the operating status signals of security monitoring equipment, the electromagnetic field interference anomaly level of the monitored object is determined, and the confidence level of the early warning trigger is output.

[0009] The warning trigger interference boundary and the warning trigger credibility are jointly and logically determined. When the electromagnetic field interference characteristics of the monitored object exceed the compliance range corresponding to the warning trigger interference boundary, the corresponding level of violation security warning is triggered according to the level range of the warning trigger credibility.

[0010] When an access control verification event signal is detected or when the amplitude attenuation trend of the satellite monitoring signal and the amplitude increase trend of the near-field beacon signal are detected, during the transition phase of the monitoring signal source switching, the satellite monitoring signal is used as the monitoring signal source before the switch and the near-field beacon signal is used as the monitoring signal source after the switch to determine the violation of the boundary. When either monitoring signal source determines that the monitored object has committed a violation of the boundary, a violation security warning is triggered.

[0011] When the monitoring signal source switching fails, the cellular base station signal is downgraded to complete security monitoring and triggers a monitoring mode downgrade warning.

[0012] In some embodiments, the access control deployment location carried in the access control verification event signal is used as a security reference anchor point, and real-time electromagnetic field interference characteristic parameters at the security reference anchor point are extracted, including:

[0013] Analyze access control verification event signals, read access control identification device identifiers and access control deployment location coordinates from access control verification event signals, input access control deployment location coordinates into security reference anchor point database, and generate security reference anchor points carrying spatial location attributes;

[0014] Read the security reference anchor point database to obtain the spatial location attributes of the security reference anchor points. Using the spatial location attributes of the security reference anchor points as search conditions, retrieve the pre-stored standard reference interference feature parameters at the corresponding locations of the security reference anchor points from the historical signal fingerprint database. The standard reference interference feature parameters include the reference amplitude of the near-field beacon signal and the reference purity of the satellite monitoring signal.

[0015] Centered on the spatial location attributes of the security reference anchor point, an electromagnetic field interference feature acquisition radius is set. Within the electromagnetic field interference feature acquisition radius, near-field beacon signals and satellite monitoring signals are scanned. The real-time received amplitude of the near-field beacon signal is recorded as the real-time amplitude of the near-field beacon signal, and the real-time signal-to-noise ratio of the satellite monitoring signal is recorded as the real-time purity of the satellite monitoring signal. The real-time amplitude of the near-field beacon signal and the real-time purity of the satellite monitoring signal are combined to form the real-time electromagnetic field interference feature parameters.

[0016] In some embodiments, the real-time electromagnetic field interferometry characteristic parameters are matched and compared with pre-stored standard reference interferometry characteristic parameters to detect the signal offset error, including:

[0017] Read the real-time electromagnetic field interference characteristic parameters, which include the real-time amplitude of the near-field beacon signal and the real-time purity of the satellite monitoring signal;

[0018] Retrieve standard reference interferometric feature parameters corresponding to the spatial location of the security reference anchor point from the historical signal fingerprint database. The standard reference interferometric feature parameters include the reference amplitude of the near-field beacon signal and the reference purity of the satellite monitoring signal.

[0019] The real-time amplitude of the near-field beacon signal is subjected to sliding window mean filtering to remove instantaneous fluctuation outliers and generate a stable amplitude of the near-field beacon signal.

[0020] The stable amplitude of the near-field beacon signal is subtracted point by point from the reference amplitude of the near-field beacon signal to generate a near-field beacon signal amplitude deviation sequence;

[0021] The near-field beacon signal amplitude offset is generated by performing an absolute value-weighted average of the near-field beacon signal amplitude deviation sequence.

[0022] The real-time purity of satellite monitoring signals is smoothed over time to remove sudden interference noise and generate stable purity of satellite monitoring signals.

[0023] The stable purity of the satellite monitoring signal is subtracted point by point from the baseline purity of the satellite monitoring signal to generate a satellite monitoring signal purity deviation sequence.

[0024] The absolute value-weighted average of the deviation sequence of satellite monitoring signal purity is used to generate the satellite monitoring signal purity offset.

[0025] The near-field beacon signal amplitude offset and the satellite monitoring signal purity offset are vector-synthesized according to the confidence weight of their respective signal sources to generate a signal offset error carrying multi-source offset attributes.

[0026] In some embodiments, a spatial fitting and extrapolation algorithm is used to perform a global extrapolation and correction of the signal offset error of multiple security reference anchor points, generating a signal offset compensation field, including:

[0027] Read the security reference anchor point database to obtain the spatial location attributes of each security reference anchor point and the corresponding signal offset error. The signal offset error includes the near-field beacon signal amplitude offset and the satellite monitoring signal purity offset.

[0028] The Euclidean distance between each security benchmark anchor point is traversed and calculated to generate an anchor point spacing distribution matrix. Based on the anchor point spacing distribution matrix, the search radius parameter and weight attenuation coefficient of the spatial interpolation algorithm are determined.

[0029] Using the spatial location attributes of each security benchmark anchor point as interpolation nodes and the corresponding near-field beacon signal amplitude offset as interpolation node values, the inverse distance weighted interpolation algorithm is called. Adjacent anchor points participating in the interpolation are selected according to the search radius parameter. Spatial distance weights are assigned to each adjacent anchor point according to the weight attenuation coefficient. The near-field beacon signal amplitude offsets of the selected adjacent anchor points are weighted and summed to generate a continuous field of near-field beacon signal amplitude offsets covering the entire monitoring area.

[0030] Using the spatial location attributes of each security benchmark anchor point as interpolation nodes and the corresponding satellite monitoring signal purity offset as interpolation node values, the inverse distance weighted interpolation algorithm is called. Adjacent anchor points participating in the interpolation are selected according to the search radius parameter. Spatial distance weights are assigned to each adjacent anchor point according to the weight attenuation coefficient. The satellite monitoring signal purity offsets of the selected adjacent anchor points are weighted and summed to generate a continuous field of satellite monitoring signal purity offset covering the entire monitoring area.

[0031] The continuous field of near-field beacon signal amplitude offset and the continuous field of satellite monitoring signal purity offset are spatially grid-aligned and superimposed with grid-by-grid values ​​to generate a signal offset compensation field carrying multi-source offset attributes.

[0032] In some embodiments, based on the signal offset compensation field, the preset violation warning triggering interference boundary is adaptively corrected, and the warning triggering interference boundary is updated, including:

[0033] Read the signal offset compensation field, extract the near-field beacon signal amplitude offset compensation value and the satellite monitoring signal purity offset compensation value of each spatial grid point, perform confidence verification on the near-field beacon signal amplitude offset compensation value of each spatial grid point, remove abnormal compensation values ​​that exceed the preset offset confidence interval, and mark them as valid compensation values ​​for the near-field beacon signal; perform confidence verification on the satellite monitoring signal purity offset compensation value of each spatial grid point, remove abnormal compensation values ​​that exceed the preset offset confidence interval, and mark them as valid compensation values ​​for the satellite monitoring signal.

[0034] Read the preset violation warning triggering interference boundary, and extract the near-field beacon signal amplitude triggering threshold and satellite monitoring signal purity triggering threshold for each spatial grid point;

[0035] The effective compensation value of the near-field beacon signal is added to the near-field beacon signal amplitude trigger threshold at the corresponding spatial grid point, and a preliminary correction value for the near-field beacon signal amplitude is generated. Boundary constraint verification is performed on the preliminary correction value of the near-field beacon signal amplitude. The preliminary correction value of the near-field beacon signal amplitude is compared with the preset upper limit and lower limit of the amplitude trigger threshold at each grid point. When the preliminary correction value of the near-field beacon signal amplitude exceeds the upper limit of the amplitude trigger threshold, the upper limit of the amplitude trigger threshold is assigned to the near-field beacon signal amplitude correction threshold at the corresponding spatial grid point. When the preliminary correction value of the near-field beacon signal amplitude is lower than the lower limit of the amplitude trigger threshold, the lower limit of the amplitude trigger threshold is assigned to the near-field beacon signal amplitude correction threshold at the corresponding spatial grid point. When the preliminary correction value of the near-field beacon signal amplitude is between the upper limit and the lower limit of the amplitude trigger threshold, the preliminary correction value of the near-field beacon signal amplitude is directly assigned to the near-field beacon signal amplitude correction threshold at the corresponding spatial grid point.

[0036] The effective compensation value of the satellite monitoring signal is added to the satellite monitoring signal purity trigger threshold of the corresponding spatial grid point grid by grid-by-grid to generate a preliminary correction value for the purity of the satellite monitoring signal. Boundary constraint verification is performed on the preliminary correction value for the purity of the satellite monitoring signal. The preliminary correction value for the purity of the satellite monitoring signal is compared with the preset upper limit and lower limit of the purity trigger threshold grid by grid. When the preliminary correction value for the purity of the satellite monitoring signal exceeds the upper limit of the purity trigger threshold, the upper limit of the purity trigger threshold is assigned to the satellite monitoring signal purity correction threshold of the corresponding spatial grid point. When the preliminary correction value for the purity of the satellite monitoring signal is lower than the lower limit of the purity trigger threshold, the lower limit of the purity trigger threshold is assigned to the satellite monitoring signal purity correction threshold of the corresponding spatial grid point. When the preliminary correction value for the purity of the satellite monitoring signal is between the upper limit and the lower limit of the purity trigger threshold, the preliminary correction value for the purity of the satellite monitoring signal is directly assigned to the satellite monitoring signal purity correction threshold of the corresponding spatial grid point.

[0037] The near-field beacon signal amplitude correction threshold and the satellite monitoring signal purity correction threshold are associated and bound according to the coordinate attributes of the corresponding spatial grid points to generate an updated violation warning triggering interference boundary.

[0038] In some embodiments, based on multi-source monitoring signals and security monitoring equipment operating status signals, the electromagnetic field interference anomaly level of the monitored object is determined, and the confidence level of the early warning trigger is output, including:

[0039] Read multi-source monitoring signals, extract the real-time amplitude of near-field beacon signals of the monitored objects, the real-time purity of satellite monitoring signals and access control verification event signals, read the operating status signals of security monitoring equipment, and extract the near-field beacon power supply voltage and the near-field beacon signal broadcast compliance rate;

[0040] The near-field beacon signal real-time amplitude is calculated using a sliding window to generate a near-field beacon signal amplitude stability score. The satellite monitoring signal real-time purity is compared with the satellite monitoring signal purity benchmark value to generate a satellite monitoring signal quality score. The access control verification event signal is analyzed in time series to extract the access control deployment location of the most recent access control verification event of the monitored object. The access control deployment location is calculated with the Euclidean distance between the access control location and the current location of the monitored object to generate an access control location consistency score.

[0041] The near-field beacon power supply voltage is compared with the near-field beacon power supply voltage reference value to generate a near-field beacon power supply health score. The near-field beacon signal broadcast compliance rate is mapped to a near-field beacon communication health score. The near-field beacon power supply health score and the near-field beacon communication health score are weighted and fused to generate a near-field beacon device health score.

[0042] The displacement vector of the monitored object is calculated by comparing its current location with its previous location to generate an instantaneous movement speed. The instantaneous movement speed is then compared with the historical average movement speed. When the instantaneous movement speed exceeds the preset deviation range of the historical average movement speed, an abnormal trajectory deduction factor is generated.

[0043] The near-field beacon signal amplitude stability score is multiplied by a first preset weighting coefficient to generate a signal quality dimension score. The satellite monitoring signal quality score is multiplied by a second preset weighting coefficient to generate a satellite signal dimension score. The access control position consistency score is multiplied by a third preset weighting coefficient to generate an access control verification dimension score. The near-field beacon device health score is multiplied by a fourth preset weighting coefficient to generate a device health dimension score. The trajectory anomaly deduction factor is subtracted from the weighted sum of the signal quality dimension score, satellite signal dimension score, access control verification dimension score, and device health dimension score to generate the early warning trigger credibility.

[0044] In some embodiments, the warning triggering interference boundary and the warning triggering credibility are jointly logically determined. When the electromagnetic field interference characteristics of the monitored object exceed the compliance range corresponding to the warning triggering interference boundary, a corresponding level of violation security warning is triggered according to the level range of the warning triggering credibility, including:

[0045] Read the updated violation warning triggers the interference boundary, extract the near-field beacon signal amplitude correction threshold and the satellite monitoring signal purity correction threshold corresponding to the current location of the monitored object in the spatial grid point, and combine the near-field beacon signal amplitude correction threshold and the satellite monitoring signal purity correction threshold to form the upper limit of the compliance range of the current spatial grid point;

[0046] Read the real-time amplitude of the near-field beacon signal of the monitored object at the current moment and the real-time purity of the satellite monitoring signal. Compare the real-time amplitude of the near-field beacon signal with the near-field beacon signal amplitude correction threshold of the current spatial grid point item by item. When the real-time amplitude of the near-field beacon signal exceeds the near-field beacon signal amplitude correction threshold, generate a near-field beacon signal out-of-bounds flag.

[0047] The real-time purity of the satellite monitoring signal is compared with the satellite monitoring signal purity correction threshold of the current space grid point item by item. When the real-time purity of the satellite monitoring signal exceeds the satellite monitoring signal purity correction threshold, a satellite monitoring signal out-of-bounds marker is generated.

[0048] Read the warning trigger credibility and compare it step by step with the preset first credibility threshold and second credibility threshold. The first credibility threshold is higher than the second credibility threshold.

[0049] When the confidence level of the warning trigger is greater than or equal to the first confidence level threshold, the level range in which the warning trigger confidence level is located is marked as the first confidence level range;

[0050] When the confidence level of the warning trigger is less than the first confidence level threshold but greater than or equal to the second confidence level threshold, it is marked as the second confidence level interval;

[0051] When the confidence level of the warning trigger is less than the second confidence level threshold, it is marked as the third confidence level interval;

[0052] A logical OR operation is performed between the near-field beacon signal boundary crossing marker and the satellite monitoring signal boundary crossing marker. When either boundary crossing marker is true, it is determined that the electromagnetic field interference characteristics of the monitored object exceed the upper limit of the compliance range of the current spatial grid point.

[0053] When the electromagnetic field interference characteristics are determined to exceed the upper limit of the compliance range and the confidence level of the warning trigger is in the first confidence level range, the first level of security violation warning is triggered. The first level of security violation warning is triggered by triggering the sound and light alarm device and notifying the nearest security personnel.

[0054] When the electromagnetic field interference characteristics are determined to exceed the upper limit of the compliance range and the confidence level of the warning trigger is in the second confidence level range, the second level of security violation warning is triggered. The second level of security violation warning is to send a warning notification to the security duty terminal and require remote video confirmation.

[0055] When the electromagnetic field interference characteristics are determined to exceed the upper limit of the compliance range and the confidence level of the warning trigger is in the third confidence level range, a third-level violation security warning is triggered. The third-level violation security warning records the out-of-bounds log to the security event database and marks it as pending review.

[0056] In some embodiments, when an access control verification event signal is detected or when the amplitude attenuation trend of the satellite monitoring signal and the amplitude increase trend of the near-field beacon signal are detected, during the monitoring signal source switching transition phase, the satellite monitoring signal is used as the monitoring signal source before the switch and the near-field beacon signal is used as the monitoring signal source after the switch to determine the violation boundary crossing. When either monitoring signal source determines that the monitored object has committed a violation boundary crossing behavior, a violation security warning is triggered, including:

[0057] The system monitors access control verification event signals in real time. When an access control verification event signal is received, a switching prediction trigger flag is generated. Simultaneously, the system collects the amplitude time series sequences of satellite monitoring signals and near-field beacon signals in real time. A sliding window linear regression analysis is performed on the amplitude time series sequence of the satellite monitoring signals to calculate the slope of the satellite monitoring signal amplitude change. A sliding window linear regression analysis is also performed on the amplitude time series sequence of the near-field beacon signals to calculate the slope of the near-field beacon signal amplitude change. When the slope of the satellite monitoring signal amplitude change is negative and its absolute value exceeds a preset attenuation slope threshold, and the slope of the near-field beacon signal amplitude change is positive and its absolute value exceeds a preset rise slope threshold, a switching prediction trigger flag is generated.

[0058] When the switching prediction trigger flag is true, read the trigger time corresponding to the switching prediction trigger flag, start the monitoring signal source switching transition timer with the trigger time as the starting point, set the switching transition duration parameter, and synchronously activate the satellite monitoring signal boundary judgment thread and the near-field beacon signal boundary judgment thread during the switching transition phase corresponding to the switching transition duration parameter.

[0059] The satellite monitoring signal boundary crossing determination thread executes as follows: reads the updated violation warning triggering interference boundary, extracts the satellite monitoring signal purity correction threshold corresponding to the spatial grid point of the current location of the monitored object, compares the real-time purity of the satellite monitoring signal with the satellite monitoring signal purity correction threshold item by item, and generates a satellite monitoring signal boundary crossing determination result when the real-time purity of the satellite monitoring signal exceeds the satellite monitoring signal purity correction threshold.

[0060] The near-field beacon signal out-of-bounds determination thread executes as follows: It reads the updated violation warning triggering interference boundary, extracts the near-field beacon signal amplitude correction threshold corresponding to the spatial grid point of the current location of the monitored object, compares the real-time amplitude of the near-field beacon signal with the near-field beacon signal amplitude correction threshold item by item, and generates a near-field beacon signal out-of-bounds determination result when the real-time amplitude of the near-field beacon signal exceeds the near-field beacon signal amplitude correction threshold.

[0061] The satellite monitoring signal boundary crossing determination result and the near-field beacon signal boundary crossing determination result are logically ORed. When either the satellite monitoring signal boundary crossing determination result or the near-field beacon signal boundary crossing determination result is a boundary crossing, it is determined that the monitored object has violated the boundary and a violation security warning is triggered.

[0062] In some embodiments, when the monitoring signal source switching fails, the cellular base station signal is downgraded to complete security monitoring and a monitoring mode downgrade warning is triggered, including:

[0063] The timing status of the handover transition timer is monitored in real time. When the handover transition phase corresponding to the handover transition duration parameter ends, the current output status of the satellite monitoring signal boundary judgment thread and the current output status of the near-field beacon signal boundary judgment thread are read. When the current output status of the satellite monitoring signal boundary judgment thread is no output or the current output status of the near-field beacon signal boundary judgment thread is no output, a handover execution failure flag is generated.

[0064] When the switch execution failure flag is true, the registration status of the cellular base station signal acquisition module is read. When the cellular base station signal acquisition module is in the online registration state, a signal acquisition activation command is sent to the cellular base station signal acquisition module. After receiving the signal acquisition activation command, the cellular base station signal acquisition module starts the real-time amplitude acquisition of the cellular base station signal and generates the real-time amplitude sequence of the cellular base station signal.

[0065] The real-time amplitude sequence of cellular base station signals is subjected to sliding window mean filtering to remove instantaneous fluctuation outliers and generate stable amplitude of cellular base station signals. The stable amplitude of cellular base station signals is then compared with the pre-stored baseline amplitude of cellular base station signals to generate a cellular base station signal quality score.

[0066] The system reads the updated violation warning triggering boundary, extracts the cellular base station signal amplitude trigger threshold corresponding to the spatial grid point of the current location of the monitored object, compares the stable amplitude of the cellular base station signal with the cellular base station signal amplitude trigger threshold item by item, and determines that the monitored object has violated the boundary by reading the updated violation warning triggering boundary interference boundary.

[0067] Simultaneously, a monitoring mode degradation warning signal is generated. The monitoring mode degradation warning signal includes a handover execution failure flag, identification information of downgraded cellular base station signal activation, and cellular base station signal quality score. The monitoring mode degradation warning signal is sent to the security duty terminal. After receiving the monitoring mode degradation warning signal, the security duty terminal displays a monitoring mode degradation warning prompt box on the display interface. The monitoring mode degradation warning prompt box includes an explanation of the degradation reason and the current positioning accuracy level identifier.

[0068] In a second aspect, the present invention also provides an equipment operation and maintenance system based on multi-source fusion positioning, applicable to the method described in the first aspect. The system includes a signal acquisition module, an anchor point generation module, an offset detection module, a compensation field generation module, a boundary correction module, a reliability assessment module, a joint judgment module, a handover judgment module, and a degradation processing module. The signal acquisition module is used to acquire multi-source monitoring signals and security monitoring equipment operating status signals. The multi-source monitoring signals include satellite monitoring signals, near-field beacon signals, and access control verification event signals. The anchor point generation module is connected to the signal acquisition module and is used to integrate the access control information carried in the access control verification event signals. The deployment location serves as a security baseline anchor point, and real-time electromagnetic field interference characteristic parameters at the anchor point are extracted. The offset detection module, connected to the anchor point generation module, matches and compares the real-time electromagnetic field interference characteristic parameters with pre-stored standard baseline interference characteristic parameters to detect signal offset errors. The compensation field generation module, connected to the offset detection module, uses a spatial fitting and extrapolation algorithm to perform global extrapolation and correction of signal offset errors at multiple security baseline anchor points, generating a signal offset compensation field. The boundary correction module, connected to the compensation field generation module, adaptively adjusts the preset violation warning triggering interference boundary based on the signal offset compensation field. The system corrects and updates the warning trigger interference boundary; the credibility assessment module, connected to the signal acquisition module, determines the electromagnetic field interference anomaly level of the monitored object based on multi-source monitoring signals and security monitoring equipment operating status signals, and outputs the warning trigger credibility; the joint judgment module, connected to both the boundary correction module and the credibility assessment module, performs a joint logical judgment on the warning trigger interference boundary and the warning trigger credibility. When the electromagnetic field interference characteristics of the monitored object exceed the compliance range corresponding to the warning trigger interference boundary, a corresponding level of security violation warning is triggered based on the level range of the warning trigger credibility; the system switches between the judgment module and the signal acquisition module. The block and boundary correction module are connected to determine violations and boundaries simultaneously during the signal source switching transition phase. When an access control verification event signal or a satellite monitoring signal amplitude attenuation trend and a near-field beacon signal amplitude increase trend are detected, the satellite monitoring signal is used as the monitoring signal source before the switch and the near-field beacon signal is used as the monitoring signal source after the switch. When either monitoring signal source determines that the monitored object has violated the boundary, a violation security warning is triggered. The degradation processing module is connected to the switching judgment module. When the monitoring signal source switching fails, the cellular base station signal is downgraded to complete the security monitoring and a monitoring mode degradation warning is triggered.

[0069] Unlike existing technologies, the above technical solution provides a device operation and maintenance method and system based on multi-source fusion positioning. It uses the access control deployment location carried in the access control verification event signal as a security reference anchor point, extracts its real-time electromagnetic field interference characteristic parameters, and compares them with standard reference interference characteristic parameters to detect signal offset error. Then, a spatial fitting and extrapolation algorithm is used to perform global extrapolation and correction of the signal offset error of multiple security reference anchor points, generating a signal offset compensation field to adaptively correct the violation warning trigger interference boundary. Simultaneously, based on the multi-source monitoring signals and the operating status signals of the security monitoring equipment, the electromagnetic field interference anomaly level is determined, and the warning trigger credibility is output. The corrected warning trigger interference boundary and the warning trigger credibility are jointly determined to trigger a graded warning. This invention achieves adaptive calibration of signal drift and quantitative evaluation of warning credibility, significantly improving the accuracy and reliability of boundary violation monitoring.

[0070] The above description of the invention is merely an overview of the technical solution of this application. In order to enable those skilled in the art to better understand the technical solution of this application and to implement it based on the description and drawings, and to make the above-mentioned objectives and other objectives, features and advantages of this application easier to understand, the following description is provided in conjunction with the specific embodiments and drawings of this application. Attached Figure Description

[0071] The accompanying drawings are only used to illustrate the principles, implementation methods, applications, features, and effects of specific embodiments of the present invention and other related contents, and should not be considered as limitations on this application.

[0072] In the accompanying drawings of the instruction manual:

[0073] Figure 1 This is a schematic diagram illustrating steps S101 to S105 of the method described in a specific embodiment.

[0074] Figure 2 This is a schematic diagram illustrating steps S201 to S203 of the method described in a specific implementation.

[0075] Figure 3 This is a schematic diagram illustrating steps S301 to S309 of the method described in the specific implementation embodiment;

[0076] Figure 4 This is a schematic diagram illustrating steps S401 to S405 of the method described in a specific embodiment;

[0077] Figure 5 The diagram illustrates steps S501 to S505 of the method described in the specific implementation. Detailed Implementation

[0078] To illustrate the possible application scenarios, technical principles, implementable specific solutions, and achievable objectives and effects of this application in detail, the following description, in conjunction with the listed specific embodiments and accompanying drawings, provides a detailed explanation. The embodiments described herein are merely illustrative of the technical solutions of this application and are therefore intended to limit the scope of protection of this application.

[0079] In this document, the term "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The term "embodiment" appearing in various places throughout the specification does not necessarily refer to the same embodiment, nor does it specifically limit its independence or connection with other embodiments. In principle, in this application, as long as there are no technical contradictions or conflicts, the technical features mentioned in each embodiment can be combined in any way to form corresponding implementable technical solutions.

[0080] Unless otherwise defined, the technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the use of related terms herein is merely for the purpose of describing particular embodiments and is not intended to limit this application.

[0081] In the description of this application, the term "and / or" is used to describe the logical relationship between objects, indicating that three relationships can exist. For example, A and / or B means: A exists, B exists, and A and B exist simultaneously. Additionally, the character " / " in this document generally indicates that the preceding and following objects have an "or" logical relationship.

[0082] In this application, terms such as “first” and “second” are used only to distinguish one entity or operation from another, and do not necessarily require or imply any actual quantity, hierarchy or order relationship between these entities or operations.

[0083] Without further limitations, the use of terms such as “comprising,” “including,” “having,” or other similar open-ended expressions in this application is intended to cover non-exclusive inclusion, which does not exclude the presence of additional elements in a process, method, or product that includes the stated elements, such that a process, method, or product that includes a list of elements may include not only those defined elements but also other elements not expressly listed, or elements inherent to such a process, method, or product.

[0084] The processor described in the embodiments of this application can be implemented by hardware, firmware, software, or a combination thereof. It can be a circuit, one or more of an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field-programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller, or a microprocessor. It also includes other physical, biological, or chemical structures that can implement the same or equivalent functions as the processors listed above, such as biological neurons, quantum computing units, DNA computing units, etc., so that the processor can execute some or all of the steps in the computer program or method involved in the various embodiments of this application, or any combination of the steps mentioned therein.

[0085] The computer program involved in the embodiments can be stored in a computer device readable storage medium, which includes, but is not limited to, disks, magnetic tapes, magnetic cards, floppy disks, flash memory, optical disks, optical cards, read-only memory (ROM), random access memory (RAM), erasable programmable ROM (EPROM), and electrically erasable programmable ROM (EEPROM), etc., and also includes other biological, physical, or chemical structures that can achieve the same or equivalent functions as the storage media listed above, such as DNA, RNA, proteins, and other units with information storage capabilities. In specific embodiments, the storage medium involved can be one of the above-mentioned media types, or a combination of the above-mentioned media types. In different embodiments, the computer program involved in the embodiments can be centrally stored in a single medium, or distributed and stored in multiple media. The memory containing the computer device readable storage medium can be non-volatile memory or random access memory. These computer device readable storage media can be built into the device, or can be connected to the device involved in the embodiments as an external device or part of an external device. In some embodiments, the memory having a computer device readable storage medium is deployed locally; in other embodiments, the memory may be deployed remotely from the processor, for example, as a network-attached memory accessed via RF circuitry or an external port and a communication network, wherein the communication network may be the Internet, one or more intranets, a local area network (LAN), a wide area network (WLAN), a storage area network (SAN), or a suitable combination thereof, as long as computer device access to the memory is enabled. Furthermore, the computer program involved in the embodiments may be stored in plaintext / ciphertext form, or it may be designed as training data, integrated and recombined through model training and implicitly stored in the parameter states of a deep neural network or other machine learning model.

[0086] Please see Figure 1 In a first aspect, this embodiment provides a device operation and maintenance method based on multi-source fusion positioning, including:

[0087] S101. Acquire multi-source monitoring signals and security monitoring equipment operation status signals. The multi-source monitoring signals include satellite monitoring signals, near-field beacon signals, and access control verification event signals.

[0088] S102. The access control deployment location carried in the access control verification event signal is used as the security reference anchor point. The real-time electromagnetic field interference feature parameters at the security reference anchor point are extracted. The real-time electromagnetic field interference feature parameters are matched and compared with the pre-stored standard reference interference feature parameters to detect the signal offset error. The signal offset error of multiple security reference anchor points is extrapolated and corrected in the whole domain using a spatial fitting and extrapolation algorithm to generate a signal offset compensation field.

[0089] S103. Based on the signal offset compensation field, the preset violation warning triggering interference boundary is adaptively corrected and the warning triggering interference boundary is updated.

[0090] S104. Based on the multi-source monitoring signals and the operating status signals of the security monitoring equipment, determine the electromagnetic field interference anomaly level of the monitored object and output the confidence level of the early warning trigger.

[0091] S105. Jointly determine the warning trigger interference boundary and the warning trigger credibility. When the electromagnetic field interference characteristics of the monitored object exceed the compliance range corresponding to the warning trigger interference boundary, trigger the corresponding level of violation security warning according to the level range of the warning trigger credibility.

[0092] When an access control verification event signal is detected or when the amplitude attenuation trend of the satellite monitoring signal and the amplitude increase trend of the near-field beacon signal are detected, during the transition phase of the monitoring signal source switching, the satellite monitoring signal is used as the monitoring signal source before the switch and the near-field beacon signal is used as the monitoring signal source after the switch to determine the violation of the boundary. When either monitoring signal source determines that the monitored object has committed a violation of the boundary, a violation security warning is triggered.

[0093] When the monitoring signal source switching fails, the cellular base station signal is downgraded to complete security monitoring and triggers a monitoring mode downgrade warning.

[0094] In step S101, the satellite monitoring signal is provided by the Global Navigation Satellite System, and its signal amplitude and signal-to-noise ratio can be used to assess the quality of the outdoor positioning environment. The near-field beacon signal is transmitted by beacon devices such as Bluetooth and UWB deployed within the monitoring area. Its Received Signal Strength Indication (RSSI) is strongly correlated with distance and is used for relative positioning in indoor or obstructed environments. The access control verification event signal is generated when the monitored object completes identity verification through the access control device. This signal is uniquely associated with the access control device identifier that triggered the event and its precise deployment location coordinates. The security monitoring equipment operating status signal is collected from each signal source device itself, including health indicators such as power supply voltage, communication connection status, and data broadcast success rate.

[0095] In some optional embodiments, the aforementioned multi-source monitoring signals also include 5G base station positioning signals. These 5G base station positioning signals do not simply transmit location data calculated from other positioning sources using the 5G communication link. Instead, they rely on the wireless positioning capabilities of the 5G base station itself, with the 5G network side or the monitored terminal side independently calculating the spatial coordinates of the monitored object based on 5G NR (New Radio) air interface signals. Specifically, the 5G base station positioning signals achieve positioning by measuring signal propagation parameters between the monitored terminal and multiple 5G base stations. These signal propagation parameters include at least one of the following: Time of Arrival (TOA), Time Difference of Arrival (TDOA), Angle of Arrival (AOA), and Reference Signal Received Power (RSRP). Among them, TOA measurement uses the one-way propagation delay between the monitored terminal and the 5G base station combined with the electromagnetic wave propagation speed to calculate the spatial distance; TDOA measurement constructs a hyperbolic positioning equation by using the signal arrival time difference between the monitored terminal and at least two 5G base stations, and achieves joint calculation of the horizontal position and height information of the monitored object under the combination of multiple base stations; AOA measurement uses the beamforming capability of the massive MIMO antenna array at the 5G base station to accurately estimate the signal incident angle of the monitored object, and reversely calculates the orientation of the monitored object in conjunction with the known geographical coordinates of the base station; RSRP measurement is based on the received power attenuation model of the synchronization signal block (SSB) or positioning reference signal (PRS) transmitted by the 5G base station, combined with the path loss index to estimate the distance.

[0096] The aforementioned ranging and positioning calculation process is completed by the Location Management Function (LMF) on the 5G network side or the positioning engine built into the terminal side. The calculated spatial coordinates of the monitored object, the positioning accuracy level, and the base station identification information involved in the positioning are transmitted back to the signal acquisition module of the equipment operation and maintenance system through the 5G NR air interface or the 5G core network NEF interface. In the signal acquisition module, the 5G base station positioning signal is parsed in the form of positioning result frames. The spatial coordinates of the monitored object are extracted as the 5G positioning dimension input, and the positioning accuracy level (such as the confidence ellipse radius and the horizontal positioning error estimate) is extracted as the confidence quantification basis of the signal source.

[0097] In the converged positioning framework, 5G base station positioning signals work in conjunction with satellite monitoring signals, near-field beacon signals, and access control verification event signals: When the monitored object is in an open outdoor environment but the satellite signal is blocked by tall buildings or affected by multipath effects, resulting in a decrease in carrier-to-noise ratio, the 5G base station positioning signal uses its densely deployed base station network to provide redundant positioning paths, compensating for the coverage blind spots of satellite monitoring signals in local areas; When the monitored object is indoors or in a semi-enclosed space, and the near-field beacon signal coverage density is insufficient or there is signal obstruction, the 5G base station positioning signal provides continuous location tracking capabilities by virtue of its relatively low penetration loss in the Sub-6GHz frequency band or indoor distributed antenna system (DAS) deployment; When the monitored object crosses the indoor-outdoor boundary area, the 5G base station positioning signal acts as a transitional source, and its positioning results are spatiotemporally aligned with satellite monitoring signals and near-field beacon signals in the same spatiotemporal coordinate system. Through confidence weighting, it participates in the vector synthesis of multi-source signal offset errors, avoiding positioning jumps and monitoring blind spots caused by switching of a single signal source.

[0098] In step S101, the security monitoring equipment's operating status signal can monitor the acquisition status of the 5G base station positioning signal. This acquisition status includes the online registration status of the 5G base station positioning module, 5G air interface signal quality (such as Reference Signal Receiver Quality (RSRQ) and Signal-to-Noise Ratio (SINR), positioning success rate, and communication latency of the 5G network backhaul link. When the online registration status of the 5G base station positioning module is abnormal or the positioning success rate is lower than a preset threshold, the equipment operation and maintenance system marks the 5G base station positioning signal as a low-confidence signal source, reduces its confidence weight in the subsequent vector synthesis of signal offset error, or triggers a 5G positioning degradation warning independent of cellular base station signal degradation monitoring, prompting management personnel to indicate a decrease in current 5G positioning accuracy and suggesting the implementation of a conservative alarm strategy using satellite monitoring signals and near-field beacon signals.

[0099] In step S102, the access control deployment location carried in the access control verification event signal is used as a spatial reference point to generate a security reference anchor point. This anchor point has accurately known and reliable spatial coordinate attributes. The real-time electromagnetic field interference characteristic parameters are the set of multi-source signal characteristic values ​​instantaneously collected at this anchor point, reflecting the signal field distribution state at the current moment. The standard reference interference characteristic parameters are the set of reference characteristic values ​​collected and stored at this anchor point during the initial deployment of the system or the stable period of the environment, characterizing the initial or ideal state of the signal field. The signal offset error is obtained by comparing the above two sets of parameters, quantifying the degree of drift of the signal field relative to the reference state. The spatial fitting and inference algorithm uses the offset error at multiple discrete anchor points as samples, and infers the offset at any position in the entire monitoring area through spatial interpolation technology. The final generated signal offset compensation field is a continuous field model associated with spatial position and describing the signal drift situation. This step uses the access control verification event signal as a natural calibration source to realize passive, automatic, real-time perception and full-domain modeling of signal drift.

[0100] In some optional embodiments, when the monitored object is within the coverage area of ​​the 5G base station positioning signal and the positioning accuracy level meets the preset threshold, the spatial location coordinates calculated by the 5G base station positioning signal can be used as an auxiliary security reference anchor point, which is cross-verified with the anchor point provided by the access control verification event signal to improve the redundancy and reliability of the spatial location attributes of the security reference anchor point. In step S104, the positioning accuracy level of the 5G base station positioning signal is used as an additional dimension of the multi-source signal quality score, and participates in the weighted fusion of the early warning trigger credibility score together with the satellite monitoring signal quality score and the near-field beacon signal amplitude stability score. In step S105, when at least two of the signals from the 5G base station positioning signal, the satellite monitoring signal, and the near-field beacon signal simultaneously determine that the monitored object exceeds the early warning trigger interference boundary, the early warning trigger credibility level is automatically increased, and the response threshold for triggering the first-level violation security early warning is correspondingly reduced, thereby achieving faster security response in high-credibility scenarios.

[0101] In step S103, the violation warning triggering interference boundary is a preset spatial distribution of the signal threshold used to determine boundary violations. It typically exists as a virtual boundary on an electronic map or as signal strength contour lines. Adaptive correction refers to compensating the original boundary with the offset of the corresponding position in the signal offset compensation field using vector superposition, allowing the boundary to dynamically adjust with environmental changes. The updated warning triggering interference boundary better matches the current actual signal propagation environment, thereby suppressing false alarms and missed alarms caused by signal drift at the source.

[0102] In step S104, the electromagnetic field interference anomaly level determination is a multi-dimensional fusion assessment that comprehensively considers the consistency of multi-source monitoring signals, the quality of each signal source, and the equipment health reflected by the operating status signals of the security monitoring equipment. The early warning trigger credibility is the quantitative output of this assessment result; the higher the value, the greater the confidence in determining it as a genuine boundary breach.

[0103] In step S105, the compliance range corresponding to the warning trigger interference boundary is the physical-level judgment benchmark, defining the acceptable range of signal characteristics of the monitored object at each spatial location; the level range of the warning trigger credibility is the confidence label at the decision-making level, reflecting the reliability of the current judgment result. The joint logic judgment combines the warning trigger interference boundary (physical level) with the warning trigger credibility (decision-making level). Only when the physical boundary is breached, the intensity and mode of response are determined according to the credibility level, thereby effectively suppressing alarm fatigue caused by low-credibility events while avoiding missed alarms. The classification of violation security warning levels is directly mapped to the credibility level range. High credibility exceeding the boundary triggers an immediate high-intensity response, while low credibility exceeding the boundary triggers a recording and review process.

[0104] For the transition phase of monitoring signal source switching, a conservative strategy of parallel judgment based on dual sources is adopted. If either the satellite monitoring signal or the near-field beacon signal exceeds the boundary, a violation security warning is triggered to prevent missed reports in the switching blind zone. If the switching fails, the cellular base station signal is downgraded to maintain basic monitoring functions, and a monitoring mode degradation warning is issued to alert management personnel that the current positioning accuracy has decreased. This step constructs a multi-layered early warning reliability assurance system through joint decision-making based on physical boundaries and reliability, conservative alarms during the switching process, and degradation protection for failure scenarios.

[0105] This embodiment uses access control verification event signals as a natural calibration source to drive the dynamic generation of signal offset compensation fields, enabling the warning trigger interference boundary to adaptively adjust with environmental changes and effectively maintain the accuracy of boundary crossing judgment. The introduction of warning trigger credibility transforms the binary judgment result into a quantitative score with confidence labels, and combined with the hierarchical warning mechanism, it realizes the refinement of alarm handling and reduces the interference of invalid alarms on management personnel. The conservative alarm strategy and degradation protection mechanism designed for location source switching scenarios ensure the continuity of alarms in all scenarios, thereby providing stable, reliable, and intelligent boundary crossing warning services in complex dynamic environments.

[0106] Please see Figure 2 In some embodiments, the access control deployment location carried in the access control verification event signal is used as a security reference anchor point, and real-time electromagnetic field interference characteristic parameters at the security reference anchor point are extracted, including:

[0107] S201. Analyze the access control verification event signal, read the access control identification device identifier and access control deployment location coordinates from the access control verification event signal, enter the access control deployment location coordinates into the security reference anchor point database, and generate security reference anchor points carrying spatial location attributes;

[0108] S202. Read the security reference anchor point database, obtain the spatial location attributes of the security reference anchor points, and use the spatial location attributes of the security reference anchor points as search conditions to retrieve the pre-stored standard reference interference feature parameters at the corresponding locations of the security reference anchor points from the historical signal fingerprint database. The standard reference interference feature parameters include the near-field beacon signal reference amplitude and the satellite monitoring signal reference purity.

[0109] S203. Taking the spatial location attribute of the security reference anchor point as the center, set the electromagnetic field interference feature acquisition radius, scan the near-field beacon signal and satellite monitoring signal within the electromagnetic field interference feature acquisition radius, record the real-time received amplitude of the near-field beacon signal as the real-time amplitude of the near-field beacon signal, record the real-time signal-to-noise ratio of the satellite monitoring signal as the real-time purity of the satellite monitoring signal, and combine the real-time amplitude of the near-field beacon signal and the real-time purity of the satellite monitoring signal as the real-time electromagnetic field interference feature parameter.

[0110] In step S201, the access control device identifier is globally unique and used to distinguish different access control locations. The coordinates of the access control deployment location are obtained through on-site measurement or from the building information model during the access control system deployment phase, and are usually represented by precise values ​​in latitude and longitude or relative coordinate systems. The security reference anchor point database is stored using a relational or time-series database. Each record uses the access control device identifier as the primary key and binds it to the corresponding access control deployment location coordinates to generate a security reference anchor point record carrying spatial location attributes.

[0111] In step S202, the historical signal fingerprint database is constructed through full-area traversal collection during the initial system deployment or the stable environmental period, storing multi-source signal characteristics at various spatial locations. Using the spatial location attributes of the security reference anchor point as the retrieval condition, a spatial nearest neighbor query is performed in the historical signal fingerprint database to retrieve pre-stored records matching that spatial location attribute. The near-field beacon signal reference amplitude in the standard reference interferometric characteristic parameters is taken from the statistical mean of the near-field beacon signal received signal strength indication in that record, and the satellite monitoring signal reference purity is taken from the statistical mean of the satellite signal carrier-to-noise ratio in that record. Together, they define the initial reference state of the signal environment at that anchor point.

[0112] In step S203, the electromagnetic field interferometry feature acquisition radius can be set according to the typical coverage range of the near-field beacon signal to ensure that the acquisition area covers the effective signal coverage area of ​​the anchor point. Within this radius, the near-field beacon signal is scanned in real time, and the instantaneous value of the received signal strength indication is recorded as the real-time amplitude of the near-field beacon signal; the satellite monitoring signal is received in real time, and the carrier-to-noise ratio at the current moment is recorded as the real-time purity of the satellite monitoring signal. The real-time amplitude of the near-field beacon signal and the real-time purity of the satellite monitoring signal are combined in a fixed field order to generate real-time electromagnetic field interferometry feature parameters carrying the spatial location attributes of the anchor point.

[0113] This embodiment establishes a security reference anchor point with precise spatial attributes by using the access control device identifier and access control deployment location coordinates in the access control verification event signal. Using the spatial location attributes of this anchor point as retrieval criteria, the corresponding standard reference interference characteristic parameters are retrieved from the historical signal fingerprint database. Real-time electromagnetic field interference characteristic parameters at the anchor point are obtained by scanning the signal within a set acquisition radius. This embodiment provides a reference point with a precisely known spatial location and its corresponding reference and real-time characteristic data for subsequent detection of signal offset errors.

[0114] Please see Figure 3 In some embodiments, the real-time electromagnetic field interferometry characteristic parameters are matched and compared with pre-stored standard reference interferometry characteristic parameters to detect the signal offset error, including:

[0115] S301. Read the real-time electromagnetic field interference characteristic parameters, which include the real-time amplitude of the near-field beacon signal and the real-time purity of the satellite monitoring signal.

[0116] S302. Retrieve the standard reference interference characteristic parameters corresponding to the spatial location of the security reference anchor point from the historical signal fingerprint database. The standard reference interference characteristic parameters include the reference amplitude of the near-field beacon signal and the reference purity of the satellite monitoring signal.

[0117] S303. Perform sliding window mean filtering on the real-time amplitude of the near-field beacon signal to remove instantaneous fluctuation outliers and generate a stable amplitude of the near-field beacon signal.

[0118] S304. Perform point-by-point subtraction between the stable amplitude of the near-field beacon signal and the reference amplitude of the near-field beacon signal to generate a near-field beacon signal amplitude deviation sequence.

[0119] S305. Perform an absolute value weighted average on the near-field beacon signal amplitude deviation sequence to generate the near-field beacon signal amplitude offset.

[0120] S306. Perform time-series smoothing on the real-time purity of satellite monitoring signals to eliminate sudden interference noise and generate stable purity of satellite monitoring signals.

[0121] S307. Perform point-by-point subtraction between the stable purity of the satellite monitoring signal and the reference purity of the satellite monitoring signal to generate a satellite monitoring signal purity deviation sequence.

[0122] S308. Perform an absolute value-weighted average on the deviation sequence of satellite monitoring signal purity to generate the satellite monitoring signal purity offset.

[0123] S309. The near-field beacon signal amplitude offset and the satellite monitoring signal purity offset are vector-synthesized according to the confidence weight of their respective signal sources to generate a signal offset error carrying multi-source offset attributes.

[0124] In steps S301 to S302, the spatial location attributes of the security reference anchor point are used as the retrieval criteria to retrieve the pre-stored standard reference interference feature parameters at the anchor point from the historical signal fingerprint database.

[0125] In steps S303 to S305, the sliding window mean filtering calculates the arithmetic mean of the real-time amplitude sampling points of the continuously acquired near-field beacon signal within a fixed-length sliding window. The output value is updated every time the window slides one sampling point. Instantaneous fluctuation anomalies are identified by comparing the deviation of a single sampling value from the window mean. When the deviation exceeds a preset multiple, the sampling value is replaced with the window mean. The output sequence after filtering and anomaly removal is the stable amplitude of the near-field beacon signal. The stable amplitude of the near-field beacon signal and the reference amplitude of the near-field beacon signal are subtracted point by point at the same timestamp. The ordered set of the resulting differences is the near-field beacon signal amplitude deviation sequence. The absolute value weighted average assigns a weight to each absolute value in the deviation sequence according to the recentity of the sampling time, assigning higher weights to recent sampling points and lower weights to distant sampling points. The weighted sum is used to obtain the near-field beacon signal amplitude offset, which quantifies the overall drift amplitude of the near-field beacon signal at the anchor point relative to the reference state.

[0126] In steps S306 to S308, the time series smoothing process addresses the temporal variation characteristics of the real-time purity of the satellite monitoring signal. It can employ a principle similar to sliding window mean filtering but with independently configured window length, or use smoothing algorithms suitable for signal-to-noise ratio (SNR) data, such as median filtering or Kalman filtering. Sudden interference noise, caused by instantaneous satellite signal obstruction or ionospheric disturbances, manifests as a sharp drop in SNR. Smoothing can effectively suppress this type of noise. The smoothed output sequence represents the stable purity of the satellite monitoring signal. Point-by-point subtraction is performed between the stable purity and the baseline purity of the satellite monitoring signal at the same timestamp. The ordered set of the resulting differences is the satellite monitoring signal purity deviation sequence. An absolute value-weighted average is then applied to this deviation sequence, with the weighting principle the same as in step S305, generating a satellite monitoring signal purity offset. This offset quantifies the overall drift of the satellite signal purity at the anchor point relative to the baseline state.

[0127] In step S309, the confidence weight is dynamically determined based on the environment of the anchor point. For example, in indoor scenarios, the confidence weight of the near-field beacon signal is higher than that of the satellite monitoring signal, while in outdoor scenarios it is the opposite. In semi-open scenarios, the weights of the two are close. The weight allocation can be calculated in real time through the historical positioning accuracy of the signal source or the current signal quality. Vector synthesis multiplies the amplitude offset of the near-field beacon signal and the purity offset of the satellite monitoring signal by their respective confidence weights, and then performs vector superposition to generate a comprehensive error quantity that carries the offset information of both near-field beacon and satellite signal sources, which is the signal offset error quantity.

[0128] This embodiment uses sliding window mean filtering and time series smoothing to reduce noise in the real-time amplitude of near-field beacon signals and the real-time purity of satellite monitoring signals, respectively, eliminating instantaneous fluctuations and sudden interference to obtain stable signal feature values. By performing point-by-point subtraction and absolute value weighted averaging on the stable feature values ​​and the benchmark feature values, the offset amplitude of each signal source at the anchor point is quantified. Finally, through dynamic allocation of confidence weights and vector synthesis, the multi-source offset information is fused into a signal offset error carrying multi-source offset attributes, providing accurate and reliable input data for subsequent global extrapolation and correction.

[0129] Please see Figure 4 In some embodiments, a spatial fitting and extrapolation algorithm is used to perform a global extrapolation and correction of the signal offset error of multiple security reference anchor points, generating a signal offset compensation field, including:

[0130] S401. Read the security reference anchor point database, obtain the spatial location attributes of each security reference anchor point and the corresponding signal offset error, the signal offset error includes the near-field beacon signal amplitude offset and the satellite monitoring signal purity offset;

[0131] S402. Perform traversal calculations on the Euclidean distance between each security benchmark anchor point to generate an anchor point spacing distribution matrix. Based on the anchor point spacing distribution matrix, determine the search radius parameter and weight attenuation coefficient of the spatial interpolation algorithm.

[0132] S403. Using the spatial location attributes of each security reference anchor point as interpolation nodes and the corresponding near-field beacon signal amplitude offset as interpolation node values, the inverse distance weighted interpolation algorithm is called. Adjacent anchor points participating in the interpolation are selected according to the search radius parameter. Spatial distance weights are assigned to each adjacent anchor point according to the weight attenuation coefficient. The near-field beacon signal amplitude offsets of the selected adjacent anchor points are weighted and summed to generate a continuous field of near-field beacon signal amplitude offsets covering the entire monitoring area.

[0133] S404. Using the spatial location attributes of each security benchmark anchor point as interpolation nodes and the corresponding satellite monitoring signal purity offset as interpolation node values, the inverse distance weighted interpolation algorithm is called. Adjacent anchor points participating in the interpolation are selected according to the search radius parameter. Spatial distance weights are assigned to each adjacent anchor point according to the weight attenuation coefficient. The satellite monitoring signal purity offsets of the selected adjacent anchor points are weighted and summed to generate a continuous field of satellite monitoring signal purity offset covering the entire monitoring area.

[0134] S405. Spatial grid alignment and grid-by-grid superposition of the near-field beacon signal amplitude offset continuous field and the satellite monitoring signal purity offset continuous field are performed to generate a signal offset compensation field carrying multi-source offset attributes.

[0135] In step S402, the Euclidean distance is calculated based on the coordinate values ​​in the spatial location attributes of each security reference anchor point, reflecting the straight-line interval between any two security reference anchor points. The anchor point spacing distribution matrix is ​​generated by traversing all anchor point pairs and recording their Euclidean distances. The statistical characteristics of this matrix, such as the minimum spacing, maximum spacing, and average spacing, are used to determine the search radius parameter and weight decay coefficient of the spatial interpolation algorithm. The search radius parameter is usually set as a multiple of the average spacing to limit the interpolation calculation to only consider adjacent anchor points within a certain range around the target point; the weight decay coefficient controls the rate at which distance affects the weight, and the larger the coefficient, the faster the weight decays at distant anchor points.

[0136] In steps S403 and S404, the inverse distance weighted interpolation algorithm uses the spatial location attributes of each security reference anchor point as interpolation nodes and the corresponding near-field beacon signal amplitude offset or satellite monitoring signal purity offset as interpolation node values. For any target location within the monitoring area, adjacent anchor points within the search radius are selected based on the search radius parameter. The spatial distance weight is calculated based on the weight attenuation coefficient and the distance from each adjacent anchor point to the target location; the closer the distance, the greater the weight. The offsets of the selected adjacent anchor points are weighted and summed, and the result is the offset estimate at the target location. This process is repeated for all target locations to generate a continuous field of near-field beacon signal amplitude offset and a continuous field of satellite monitoring signal purity offset covering the entire monitoring area, respectively describing the spatial offset distribution of the two signal sources.

[0137] In step S405, spatial grid alignment maps two independently generated continuous fields to the same spatial grid coordinate system, ensuring that each grid point corresponds to the same spatial location coordinates. Grid-by-grid values ​​are superimposed on each aligned grid point, and the values ​​of the near-field beacon signal amplitude offset continuous field and the satellite monitoring signal purity offset continuous field are merged to generate a signal offset compensation field carrying multi-source offset attributes. This signal offset compensation field serves as input for subsequent steps, used to adaptively correct the preset violation warning triggering interference boundary.

[0138] This embodiment determines the search radius and weight attenuation coefficient through the anchor point spacing distribution matrix, enabling the inverse distance weighted interpolation algorithm to adaptively utilize the offset information of adjacent anchor points. By independently interpolating the offsets of near-field beacon signals and satellite monitoring signals, two independent offset continuous fields are generated, preserving the offset characteristics of different signal sources. Through spatial grid alignment and grid-by-grid numerical superposition, the multi-source offset information is fused into a unified signal offset compensation field, providing a global and continuous offset compensation basis for subsequent adaptive boundary correction.

[0139] Please see Figure 5 In some embodiments, based on the signal offset compensation field, the preset violation warning triggering interference boundary is adaptively corrected and updated, including:

[0140] S501. Read the signal offset compensation field, extract the near-field beacon signal amplitude offset compensation value and satellite monitoring signal purity offset compensation value of each spatial grid point, perform confidence verification on the near-field beacon signal amplitude offset compensation value of each spatial grid point, remove abnormal compensation values ​​that exceed the preset offset confidence interval, and mark them as valid compensation values ​​for the near-field beacon signal; perform confidence verification on the satellite monitoring signal purity offset compensation value of each spatial grid point, remove abnormal compensation values ​​that exceed the preset offset confidence interval, and mark them as valid compensation values ​​for the satellite monitoring signal.

[0141] S502. Read the preset violation warning triggering interference boundary, and extract the near-field beacon signal amplitude triggering threshold and satellite monitoring signal purity triggering threshold for each spatial grid point;

[0142] S503. The effective compensation value of the near-field beacon signal is added to the near-field beacon signal amplitude trigger threshold of the corresponding spatial grid point, and a preliminary correction value of the near-field beacon signal amplitude is generated. Boundary constraint verification is performed on the preliminary correction value of the near-field beacon signal amplitude. The preliminary correction value of the near-field beacon signal amplitude is compared with the preset upper limit and lower limit of the amplitude trigger threshold, and when the preliminary correction value of the near-field beacon signal amplitude exceeds the upper limit of the amplitude trigger threshold, the upper limit of the amplitude trigger threshold is assigned to the near-field beacon signal amplitude correction threshold of the corresponding spatial grid point. When the preliminary correction value of the near-field beacon signal amplitude is lower than the lower limit of the amplitude trigger threshold, the lower limit of the amplitude trigger threshold is assigned to the near-field beacon signal amplitude correction threshold of the corresponding spatial grid point. When the preliminary correction value of the near-field beacon signal amplitude is between the upper limit and the lower limit of the amplitude trigger threshold, the preliminary correction value of the near-field beacon signal amplitude is directly assigned to the near-field beacon signal amplitude correction threshold of the corresponding spatial grid point.

[0143] S504. The effective compensation value of the satellite monitoring signal is added to the satellite monitoring signal purity trigger threshold of the corresponding spatial grid point grid by grid-by-grid to generate a preliminary correction value for the purity of the satellite monitoring signal. Boundary constraint verification is performed on the preliminary correction value for the purity of the satellite monitoring signal. The preliminary correction value for the purity of the satellite monitoring signal is compared with the preset upper limit and lower limit of the purity trigger threshold grid by grid. When the preliminary correction value for the purity of the satellite monitoring signal exceeds the upper limit of the purity trigger threshold, the upper limit of the purity trigger threshold is assigned to the satellite monitoring signal purity correction threshold of the corresponding spatial grid point. When the preliminary correction value for the purity of the satellite monitoring signal is lower than the lower limit of the purity trigger threshold, the lower limit of the purity trigger threshold is assigned to the satellite monitoring signal purity correction threshold of the corresponding spatial grid point. When the preliminary correction value for the purity of the satellite monitoring signal is between the upper limit and the lower limit of the purity trigger threshold, the preliminary correction value for the purity of the satellite monitoring signal is directly assigned to the satellite monitoring signal purity correction threshold of the corresponding spatial grid point.

[0144] S505. The near-field beacon signal amplitude correction threshold and the satellite monitoring signal purity correction threshold are associated and bound according to the coordinate attributes of the corresponding spatial grid points to generate an updated violation warning triggering interference boundary.

[0145] In step S501, the preset offset confidence interval is set independently for the near-field beacon signal amplitude offset compensation value and the satellite monitoring signal purity offset compensation value. For example, the confidence interval of the near-field beacon signal amplitude offset compensation value is calculated based on the statistical distribution of historical RSSI offset, and the confidence interval of the satellite monitoring signal purity offset compensation value is calculated based on the statistical distribution of historical signal-to-noise ratio offset. Both are defined by the mean plus or minus a certain number of standard deviations as the interval boundaries.

[0146] In steps S503 to S504, the upper and lower limits of the amplitude trigger threshold can be determined jointly based on the physical limits of the signal source and security requirements. The physical limits ensure that the corrected threshold does not exceed the theoretically achievable range of the signal source, while the security requirements ensure that the corrected boundary does not lose its protective capability due to overcompensation. For satellite monitoring signals, the determination logic for the upper and lower limits of the purity trigger threshold is the same, but they are set independently based on the physical characteristics of the satellite signal-to-noise ratio.

[0147] In step S505, the association between coordinate attributes and correction thresholds can be achieved by constructing a key-value pair mapping table indexed by coordinate attributes. This mapping table uses the position coordinates of each spatial grid point as the key and the corresponding near-field beacon signal amplitude correction threshold and satellite monitoring signal purity correction threshold as the value, forming a structured boundary dataset, which is the updated violation warning triggering interference boundary.

[0148] This embodiment independently sets preset offset confidence intervals for two signal sources to verify confidence levels, eliminating abnormal compensation values ​​in their respective dimensions to ensure the reliability of the compensation data used for correction. Boundary constraint verification is used to safely limit the initial correction value to prevent the corrected threshold from exceeding the physical limits of the signal or security requirements. Finally, the correction threshold is associated and bound with coordinate attributes to generate an updated violation warning triggering interference boundary, enabling the boundary to adaptively reflect the signal drift state of the current environment and effectively maintain the accuracy of boundary violation judgment.

[0149] In some embodiments, based on multi-source monitoring signals and security monitoring equipment operating status signals, the electromagnetic field interference anomaly level of the monitored object is determined, and the confidence level of the early warning trigger is output, including:

[0150] Read multi-source monitoring signals, extract the real-time amplitude of near-field beacon signals of the monitored objects, the real-time purity of satellite monitoring signals and access control verification event signals, read the operating status signals of security monitoring equipment, and extract the near-field beacon power supply voltage and the near-field beacon signal broadcast compliance rate;

[0151] The near-field beacon signal real-time amplitude is calculated using a sliding window to generate a near-field beacon signal amplitude stability score. The satellite monitoring signal real-time purity is compared with the satellite monitoring signal purity benchmark value to generate a satellite monitoring signal quality score. The access control verification event signal is analyzed in time series to extract the access control deployment location of the most recent access control verification event of the monitored object. The access control deployment location is calculated with the Euclidean distance between the access control location and the current location of the monitored object to generate an access control location consistency score.

[0152] The near-field beacon power supply voltage is compared with the near-field beacon power supply voltage reference value to generate a near-field beacon power supply health score. The near-field beacon signal broadcast compliance rate is mapped to a near-field beacon communication health score. The near-field beacon power supply health score and the near-field beacon communication health score are weighted and fused to generate a near-field beacon device health score.

[0153] The displacement vector of the monitored object is calculated by comparing its current location with its previous location to generate an instantaneous movement speed. The instantaneous movement speed is then compared with the historical average movement speed. When the instantaneous movement speed exceeds the preset deviation range of the historical average movement speed, an abnormal trajectory deduction factor is generated.

[0154] The near-field beacon signal amplitude stability score is multiplied by a first preset weighting coefficient to generate a signal quality dimension score. The satellite monitoring signal quality score is multiplied by a second preset weighting coefficient to generate a satellite signal dimension score. The access control position consistency score is multiplied by a third preset weighting coefficient to generate an access control verification dimension score. The near-field beacon device health score is multiplied by a fourth preset weighting coefficient to generate a device health dimension score. The trajectory anomaly deduction factor is subtracted from the weighted sum of the signal quality dimension score, satellite signal dimension score, access control verification dimension score, and device health dimension score to generate the early warning trigger credibility.

[0155] In this embodiment, the window length for calculating the near-field beacon signal amplitude stability score can be set according to the broadcast frequency of the near-field beacon signal. The smaller the variance, the more stable the signal amplitude, and the higher the score. The closer the satellite monitoring signal quality score is to 1, the better the satellite signal quality. The Euclidean distance between the access control deployment location of the most recent access control verification event and the current location of the monitored object is calculated. The smaller the distance, the higher the access control location consistency score.

[0156] The reference value for the near-field beacon power supply voltage is taken as the statistical average of the beacon equipment's rated voltage or historical stable power supply voltage; the near-field beacon signal broadcast compliance rate is the ratio of the number of broadcasts actually successfully received to the expected number of broadcasts, which is converted into a near-field beacon communication health score through a linear mapping function; the fusion weight when weighting and fusing the near-field beacon power supply health score and the near-field beacon communication health score is determined according to the contribution of the power supply status and communication status to the overall health of the equipment.

[0157] The historical average moving speed is determined based on the statistical average of the moving speed of the monitored object within a historical window over the past period; the preset deviation range is centered on the historical average moving speed, plus or minus a certain number of standard deviations to form the normal speed range; the trajectory abnormality deduction factor is a negative value, and its magnitude is determined based on the degree to which the instantaneous moving speed exceeds the preset deviation range.

[0158] The first, second, third, and fourth preset weighting coefficients are determined based on the contribution of each dimension to the accuracy of the boundary violation determination. Preferably, the signal quality dimension has the highest weight, followed by the access control verification dimension and the device health dimension, and the satellite signal dimension has the lowest weight. The numerical range of the warning trigger credibility is a preset interval; the higher the value, the higher the reliability of the current boundary violation determination conclusion.

[0159] This embodiment quantifies the reliability of boundary crossing judgment from four dimensions: signal stability, signal quality, position consistency, and device health, through multi-dimensional evaluation methods such as sliding window variance calculation, ratio calculation, and Euclidean distance calculation. By introducing a deduction mechanism through trajectory anomaly detection, it further suppresses misjudgments caused by positioning jumps. Finally, through weighted fusion and deduction correction, a quantified early warning trigger credibility is generated, providing a reliable decision-making basis for subsequent graded early warning handling.

[0160] In some embodiments, the warning triggering interference boundary and the warning triggering credibility are jointly logically determined. When the electromagnetic field interference characteristics of the monitored object exceed the compliance range corresponding to the warning triggering interference boundary, a corresponding level of violation security warning is triggered according to the level range of the warning triggering credibility, including:

[0161] Read the updated violation warning triggers the interference boundary, extract the near-field beacon signal amplitude correction threshold and the satellite monitoring signal purity correction threshold corresponding to the current location of the monitored object in the spatial grid point, and combine the near-field beacon signal amplitude correction threshold and the satellite monitoring signal purity correction threshold to form the upper limit of the compliance range of the current spatial grid point;

[0162] Read the real-time amplitude of the near-field beacon signal of the monitored object at the current moment and the real-time purity of the satellite monitoring signal. Compare the real-time amplitude of the near-field beacon signal with the near-field beacon signal amplitude correction threshold of the current spatial grid point item by item. When the real-time amplitude of the near-field beacon signal exceeds the near-field beacon signal amplitude correction threshold, generate a near-field beacon signal out-of-bounds flag.

[0163] The real-time purity of the satellite monitoring signal is compared with the satellite monitoring signal purity correction threshold of the current space grid point item by item. When the real-time purity of the satellite monitoring signal exceeds the satellite monitoring signal purity correction threshold, a satellite monitoring signal out-of-bounds marker is generated.

[0164] Read the warning trigger credibility and compare it step by step with the preset first credibility threshold and second credibility threshold. The first credibility threshold is higher than the second credibility threshold.

[0165] When the confidence level of the warning trigger is greater than or equal to the first confidence level threshold, the level range in which the warning trigger confidence level is located is marked as the first confidence level range;

[0166] When the confidence level of the warning trigger is less than the first confidence level threshold but greater than or equal to the second confidence level threshold, it is marked as the second confidence level interval;

[0167] When the confidence level of the warning trigger is less than the second confidence level threshold, it is marked as the third confidence level interval;

[0168] A logical OR operation is performed between the near-field beacon signal boundary crossing marker and the satellite monitoring signal boundary crossing marker. When either boundary crossing marker is true, it is determined that the electromagnetic field interference characteristics of the monitored object exceed the upper limit of the compliance range of the current spatial grid point.

[0169] When the electromagnetic field interference characteristics are determined to exceed the upper limit of the compliance range and the confidence level of the warning trigger is in the first confidence level range, the first level of security violation warning is triggered. The first level of security violation warning is triggered by triggering the sound and light alarm device and notifying the nearest security personnel.

[0170] When the electromagnetic field interference characteristics are determined to exceed the upper limit of the compliance range and the confidence level of the warning trigger is in the second confidence level range, the second level of security violation warning is triggered. The second level of security violation warning is to send a warning notification to the security duty terminal and require remote video confirmation.

[0171] When the electromagnetic field interference characteristics are determined to exceed the upper limit of the compliance range and the confidence level of the warning trigger is in the third confidence level range, a third-level violation security warning is triggered. The third-level violation security warning records the out-of-bounds log to the security event database and marks it as pending review.

[0172] In this embodiment, the first confidence threshold and the second confidence threshold can be determined based on statistical analysis of historical alarm data or security management requirements. For example, the lowest confidence value of historical high-confidence out-of-bounds events can be set as the first confidence threshold, and the highest confidence value of historical low-confidence false alarm events can be set as the second confidence threshold. The first confidence threshold is higher than the second confidence threshold. The first confidence interval, the second confidence interval, and the third confidence interval divide the confidence of the warning trigger into three levels from high to low, each corresponding to a different response intensity.

[0173] When notifying the nearest security personnel, the distance is calculated between the real-time location of the security personnel's positioning terminal and the location of the boundary crossing incident. The nearest security personnel who are currently on duty are selected for dispatch. After receiving the alert notification, the security duty terminal displays a pop-up window containing the boundary crossing location, the monitored object's identifier, and the credibility level, requiring the security personnel to confirm via remote video. The security incident database stores a complete record of each boundary crossing incident. The pending review status is indicated by the status field in the database record, facilitating subsequent auditing and review.

[0174] This embodiment divides the credibility of early warning triggering into three levels by using a preset first credibility threshold and a second credibility threshold. Combined with the logical OR operation judgment results of the near-field beacon signal boundary crossing mark and the satellite monitoring signal boundary crossing mark, it realizes three-level differentiated handling from high-intensity immediate response to low-intensity record review, effectively reducing alarm fatigue and improving security handling efficiency.

[0175] In some embodiments, when an access control verification event signal is detected or when the amplitude attenuation trend of the satellite monitoring signal and the amplitude increase trend of the near-field beacon signal are detected, during the monitoring signal source switching transition phase, the satellite monitoring signal is used as the monitoring signal source before the switch and the near-field beacon signal is used as the monitoring signal source after the switch to determine the violation boundary crossing. When either monitoring signal source determines that the monitored object has committed a violation boundary crossing behavior, a violation security warning is triggered, including:

[0176] The system monitors access control verification event signals in real time. When an access control verification event signal is received, a switching prediction trigger flag is generated. Simultaneously, the system collects the amplitude time series sequences of satellite monitoring signals and near-field beacon signals in real time. A sliding window linear regression analysis is performed on the amplitude time series sequence of the satellite monitoring signals to calculate the slope of the satellite monitoring signal amplitude change. A sliding window linear regression analysis is also performed on the amplitude time series sequence of the near-field beacon signals to calculate the slope of the near-field beacon signal amplitude change. When the slope of the satellite monitoring signal amplitude change is negative and its absolute value exceeds a preset attenuation slope threshold, and the slope of the near-field beacon signal amplitude change is positive and its absolute value exceeds a preset rise slope threshold, a switching prediction trigger flag is generated.

[0177] When the switching prediction trigger flag is true, read the trigger time corresponding to the switching prediction trigger flag, start the monitoring signal source switching transition timer with the trigger time as the starting point, set the switching transition duration parameter, and synchronously activate the satellite monitoring signal boundary judgment thread and the near-field beacon signal boundary judgment thread during the switching transition phase corresponding to the switching transition duration parameter.

[0178] The satellite monitoring signal boundary crossing determination thread executes as follows: reads the updated violation warning triggering interference boundary, extracts the satellite monitoring signal purity correction threshold corresponding to the spatial grid point of the current location of the monitored object, compares the real-time purity of the satellite monitoring signal with the satellite monitoring signal purity correction threshold item by item, and generates a satellite monitoring signal boundary crossing determination result when the real-time purity of the satellite monitoring signal exceeds the satellite monitoring signal purity correction threshold.

[0179] The near-field beacon signal out-of-bounds determination thread executes as follows: It reads the updated violation warning triggering interference boundary, extracts the near-field beacon signal amplitude correction threshold corresponding to the spatial grid point of the current location of the monitored object, compares the real-time amplitude of the near-field beacon signal with the near-field beacon signal amplitude correction threshold item by item, and generates a near-field beacon signal out-of-bounds determination result when the real-time amplitude of the near-field beacon signal exceeds the near-field beacon signal amplitude correction threshold.

[0180] The satellite monitoring signal boundary crossing determination result and the near-field beacon signal boundary crossing determination result are logically ORed. When either the satellite monitoring signal boundary crossing determination result or the near-field beacon signal boundary crossing determination result is a boundary crossing, it is determined that the monitored object has violated the boundary and a violation security warning is triggered.

[0181] In this embodiment, the preset attenuation slope threshold and the preset rise slope threshold are determined based on the statistical characteristics of signal changes in historical handover events. For example, the distribution of the amplitude attenuation slope of satellite monitoring signals and the amplitude rise slope of near-field beacon signals at multiple indoor and outdoor boundary locations is statistically analyzed, and the minimum value or the lower limit within a certain confidence interval is taken as the threshold. The sliding window linear regression analysis involves linearly fitting the sampling points of the amplitude time series within a sliding window. The slope of the fitted line is the amplitude change slope, and the window length is set according to the signal broadcast frequency and the typical duration of the handover process.

[0182] The handover transition duration parameter is determined based on the statistical distribution of historical handover completion times. For example, the average handover time plus several times the standard deviation is taken as the timeout threshold to ensure that the handover process has enough time to complete, while avoiding excessively long transition phases that could lead to delays in judgment.

[0183] This embodiment uses sliding window linear regression analysis to calculate the amplitude change slope of satellite monitoring signals and near-field beacon signals in real time. Combined with preset attenuation slope thresholds and preset rise slope thresholds, it generates a handover prediction trigger flag, realizing early detection of signal source handover. By setting a handover transition duration parameter to start a handover transition timer, dual-thread out-of-bounds judgment is activated synchronously during the transition phase, and a conservative alarm is performed using logical OR operation. This ensures that any signal source out-of-bounds judgment during the handover process triggers an early warning, effectively preventing missed reports in the handover blind zone.

[0184] In some embodiments, when the monitoring signal source switching fails, the cellular base station signal is downgraded to complete security monitoring and a monitoring mode downgrade warning is triggered, including:

[0185] The timing status of the handover transition timer is monitored in real time. When the handover transition phase corresponding to the handover transition duration parameter ends, the current output status of the satellite monitoring signal boundary judgment thread and the current output status of the near-field beacon signal boundary judgment thread are read. When the current output status of the satellite monitoring signal boundary judgment thread is no output or the current output status of the near-field beacon signal boundary judgment thread is no output, a handover execution failure flag is generated.

[0186] When the switch execution failure flag is true, the registration status of the cellular base station signal acquisition module is read. When the cellular base station signal acquisition module is in the online registration state, a signal acquisition activation command is sent to the cellular base station signal acquisition module. After receiving the signal acquisition activation command, the cellular base station signal acquisition module starts the real-time amplitude acquisition of the cellular base station signal and generates the real-time amplitude sequence of the cellular base station signal.

[0187] The real-time amplitude sequence of cellular base station signals is subjected to sliding window mean filtering to remove instantaneous fluctuation outliers and generate stable amplitude of cellular base station signals. The stable amplitude of cellular base station signals is then compared with the pre-stored baseline amplitude of cellular base station signals to generate a cellular base station signal quality score.

[0188] The system reads the updated violation warning triggering boundary, extracts the cellular base station signal amplitude trigger threshold corresponding to the spatial grid point of the current location of the monitored object, compares the stable amplitude of the cellular base station signal with the cellular base station signal amplitude trigger threshold item by item, and determines that the monitored object has violated the boundary by reading the updated violation warning triggering boundary interference boundary.

[0189] Simultaneously, a monitoring mode degradation warning signal is generated. The monitoring mode degradation warning signal includes a handover execution failure flag, identification information of downgraded cellular base station signal activation, and cellular base station signal quality score. The monitoring mode degradation warning signal is sent to the security duty terminal. After receiving the monitoring mode degradation warning signal, the security duty terminal displays a monitoring mode degradation warning prompt box on the display interface. The monitoring mode degradation warning prompt box includes an explanation of the degradation reason and the current positioning accuracy level identifier.

[0190] In this embodiment, the current output state of the satellite monitoring signal out-of-bounds determination thread or the near-field beacon signal out-of-bounds determination thread is "no output," meaning that the thread never generated a valid out-of-bounds determination result during the handover transition phase due to signal loss or invalid data; that is, the thread did not output any Boolean determination value. The handover execution failure flag is a Boolean variable used to indicate whether the handover process was successfully completed.

[0191] The baseline value for cellular base station signal amplitude is determined during the initial system deployment phase or the period of environmental stability by collecting the received signal strength indication values ​​of cellular base station signals at various monitoring locations and taking their statistical average. The trigger threshold for cellular base station signal amplitude is set based on the typical coverage area of ​​the cellular base station signal and security requirements, for example, using the typical received signal strength indication value at the edge of the signal strength coverage as the threshold.

[0192] The downgrade warning signal for monitoring modes uses the identifier information of the cellular base station signal to indicate that the currently used backup positioning source type is a cellular base station. The downgrade reason description includes the specific reason for the handover failure, such as loss of satellite monitoring signal or unavailability of near-field beacon signal, and that the currently used backup positioning source type is a cellular base station signal. The current positioning accuracy level identifier is set according to the positioning accuracy range of the cellular base station signal and can be divided into multiple levels to intuitively reflect the reliability of the current positioning.

[0193] This embodiment generates a handover failure flag when the handover execution fails by monitoring the timing status of the handover transition timer and the dual-thread output status; it realizes the boundary judgment after degradation by enabling the cellular base station signal acquisition module and filtering and evaluating its signal amplitude; and it ensures the continuity and transparency of security monitoring in the handover failure scenario by generating a monitoring mode degradation early warning signal that includes the handover failure flag, the identification information of the downgraded cellular base station signal, and the cellular base station signal quality score, and sending it to the security duty terminal for visual prompts.

[0194] In a second aspect, this embodiment also provides a device operation and maintenance system based on multi-source fusion positioning, applicable to the method described in the first aspect. The system includes a signal acquisition module, an anchor point generation module, an offset detection module, a compensation field generation module, a boundary correction module, a reliability assessment module, a joint judgment module, a handover judgment module, and a degradation processing module. The signal acquisition module is used to acquire multi-source monitoring signals and security monitoring equipment operation status signals. The multi-source monitoring signals include satellite monitoring signals, near-field beacon signals, and access control verification event signals. The anchor point generation module is connected to the signal acquisition module and is used to transfer the access control information carried in the access control verification event signals. The deployment location serves as a security baseline anchor point, and real-time electromagnetic field interference characteristic parameters at the anchor point are extracted. The offset detection module, connected to the anchor point generation module, matches and compares the real-time electromagnetic field interference characteristic parameters with pre-stored standard baseline interference characteristic parameters to detect signal offset errors. The compensation field generation module, connected to the offset detection module, uses a spatial fitting and extrapolation algorithm to perform global extrapolation and correction of signal offset errors at multiple security baseline anchor points, generating a signal offset compensation field. The boundary correction module, connected to the compensation field generation module, adaptively adjusts the preset violation warning triggering interference boundary based on the signal offset compensation field. The system corrects and updates the warning trigger interference boundary; the credibility assessment module, connected to the signal acquisition module, determines the electromagnetic field interference anomaly level of the monitored object based on multi-source monitoring signals and security monitoring equipment operating status signals, and outputs the warning trigger credibility; the joint judgment module, connected to both the boundary correction module and the credibility assessment module, performs a joint logical judgment on the warning trigger interference boundary and the warning trigger credibility. When the electromagnetic field interference characteristics of the monitored object exceed the compliance range corresponding to the warning trigger interference boundary, a corresponding level of security violation warning is triggered based on the level range of the warning trigger credibility; the system switches between the judgment module and the signal acquisition module. The block and boundary correction module are connected to determine violations and boundaries. When an access control verification event signal or a satellite monitoring signal amplitude attenuation trend and a near-field beacon signal amplitude increase trend are detected, during the signal source switching transition phase, the system simultaneously uses the satellite monitoring signal as the pre-switching signal source and the near-field beacon signal as the post-switching signal source to determine violations and boundaries. A violation security warning is triggered when either monitoring signal source determines that the monitored object has violated boundaries. The degradation processing module is connected to the switching determination module. When the monitoring signal source switching fails, it downgrades and enables the cellular base station signal to complete security monitoring and triggers a monitoring mode degradation warning. Through the sequential collaboration of these modules, this system achieves adaptive calibration of signal drift, quantitative evaluation of warning reliability, and continuous alarm assurance across all scenarios.

[0195] By adopting the above technical solution, this invention differs from existing technologies and has the following beneficial effects: By using the access control deployment location carried in the access control verification event signal as a security benchmark anchor point, real-time electromagnetic field interference characteristic parameters are extracted and compared with standard benchmark interference characteristic parameters to detect signal offset error. A global signal offset compensation field is generated through spatial fitting and deduction, enabling the preset violation warning triggering interference boundary to adaptively correct with environmental changes. Furthermore, by determining the electromagnetic field interference anomaly level based on multi-source monitoring signals and security monitoring equipment operating status signals and outputting the warning trigger credibility, the warning... The system employs a joint logical judgment between the triggering interference boundary and the credibility of the early warning trigger. Based on the credibility level range, it triggers the corresponding level of violation security warning, achieving refined hierarchical handling from immediate response for high-credibility events to record review for low-credibility events. When access control verification event signals or satellite monitoring signal attenuation and near-field beacon signal rise trends are detected, a dual-source parallel judgment is simultaneously adopted during the signal source switching transition phase. If either signal source determines an out-of-bounds violation, an early warning is triggered. If the switching fails, the cellular base station signal is downgraded and a monitoring mode downgrade warning is triggered, ensuring alarm continuity and system robustness across all scenarios. This technical solution achieves adaptive calibration of boundary violation warnings, quantitative evaluation of credibility, and continuous assurance across all scenarios in a multi-source fusion positioning environment.

[0196] Finally, it should be noted that although the above embodiments have been described in the text and drawings of this application, this should not limit the scope of patent protection of this application. Any technical solutions that are based on the essential concept of this application and utilize the content described in the text and drawings of this application, resulting in equivalent structural or procedural substitutions or modifications, as well as the direct or indirect application of the technical solutions of the above embodiments to other related technical fields, are all included within the scope of patent protection of this application.

Claims

1. A device operation and maintenance method based on multi-source fusion positioning, characterized in that, include: Acquire multi-source monitoring signals and security monitoring equipment operation status signals. The multi-source monitoring signals include satellite monitoring signals, near-field beacon signals, and access control verification event signals. The access control deployment location carried in the access control verification event signal is used as the security reference anchor point. Real-time electromagnetic field interference feature parameters at the security reference anchor point are extracted. The real-time electromagnetic field interference feature parameters are matched and compared with the pre-stored standard reference interference feature parameters to detect the signal offset error. The signal offset error of multiple security reference anchor points is extrapolated and corrected in the whole domain using a spatial fitting and extrapolation algorithm to generate a signal offset compensation field. Based on the signal offset compensation field, the preset violation warning triggering interference boundary is adaptively corrected and updated. Based on the multi-source monitoring signals and the operating status signals of security monitoring equipment, the electromagnetic field interference anomaly level of the monitored object is determined, and the confidence level of the early warning trigger is output. The warning trigger interference boundary and the warning trigger credibility are jointly and logically determined. When the electromagnetic field interference characteristics of the monitored object exceed the compliance range corresponding to the warning trigger interference boundary, the corresponding level of violation security warning is triggered according to the level range of the warning trigger credibility. When an access control verification event signal is detected, or when the amplitude attenuation trend of the satellite monitoring signal and the amplitude increase trend of the near-field beacon signal are detected, during the transition phase of the monitoring signal source switching, the satellite monitoring signal is used as the monitoring signal source before the switch and the near-field beacon signal is used as the monitoring signal source after the switch to determine the violation boundary crossing. When either monitoring signal source determines that the monitored object has committed a violation boundary crossing behavior, a violation security warning is triggered. When the monitoring signal source switching fails, the cellular base station signal is downgraded to complete security monitoring and triggers a monitoring mode downgrade warning.

2. The equipment operation and maintenance method based on multi-source fusion positioning according to claim 1, characterized in that, The access control deployment location carried in the access control verification event signal is used as the security reference anchor point. Real-time electromagnetic field interference characteristic parameters at the security reference anchor point are extracted, including: Analyze access control verification event signals, read access control identification device identifiers and access control deployment location coordinates from access control verification event signals, input access control deployment location coordinates into security reference anchor point database, and generate security reference anchor points carrying spatial location attributes; Read the security reference anchor point database to obtain the spatial location attributes of the security reference anchor points. Using the spatial location attributes of the security reference anchor points as search conditions, retrieve the pre-stored standard reference interference feature parameters at the corresponding locations of the security reference anchor points from the historical signal fingerprint database. The standard reference interference feature parameters include the reference amplitude of the near-field beacon signal and the reference purity of the satellite monitoring signal. Centered on the spatial location attributes of the security reference anchor point, an electromagnetic field interference feature acquisition radius is set. Within the electromagnetic field interference feature acquisition radius, near-field beacon signals and satellite monitoring signals are scanned. The real-time received amplitude of the near-field beacon signal is recorded as the real-time amplitude of the near-field beacon signal, and the real-time signal-to-noise ratio of the satellite monitoring signal is recorded as the real-time purity of the satellite monitoring signal. The real-time amplitude of the near-field beacon signal and the real-time purity of the satellite monitoring signal are combined to form the real-time electromagnetic field interference feature parameters.

3. The equipment operation and maintenance method based on multi-source fusion positioning according to claim 2, characterized in that, The real-time electromagnetic field interferometry characteristic parameters are matched and compared with the pre-stored standard reference interferometry characteristic parameters to detect the signal offset error, including: Read real-time electromagnetic field interference characteristic parameters, which include the real-time amplitude of the near-field beacon signal and the real-time purity of the satellite monitoring signal; Retrieve standard reference interferometric feature parameters corresponding to the spatial location of the security reference anchor point from the historical signal fingerprint database. The standard reference interferometric feature parameters include the reference amplitude of the near-field beacon signal and the reference purity of the satellite monitoring signal. The real-time amplitude of the near-field beacon signal is subjected to sliding window mean filtering to remove instantaneous fluctuation outliers and generate a stable amplitude of the near-field beacon signal. The stable amplitude of the near-field beacon signal is subtracted point by point from the reference amplitude of the near-field beacon signal to generate a near-field beacon signal amplitude deviation sequence; The near-field beacon signal amplitude offset is generated by performing an absolute value-weighted average of the near-field beacon signal amplitude deviation sequence. The real-time purity of satellite monitoring signals is smoothed over time to remove sudden interference noise and generate stable purity of satellite monitoring signals. The stable purity of the satellite monitoring signal is subtracted point by point from the baseline purity of the satellite monitoring signal to generate a satellite monitoring signal purity deviation sequence. The absolute value-weighted average of the deviation sequence of satellite monitoring signal purity is used to generate the satellite monitoring signal purity offset. The near-field beacon signal amplitude offset and the satellite monitoring signal purity offset are vector-synthesized according to the confidence weight of their respective signal sources to generate a signal offset error carrying multi-source offset attributes.

4. The equipment operation and maintenance method based on multi-source fusion positioning according to claim 3, characterized in that, A spatial fitting and extrapolation algorithm is used to perform global extrapolation and correction of the signal offset error of multiple security reference anchor points, generating a signal offset compensation field, including: Read the security reference anchor point database to obtain the spatial location attributes of each security reference anchor point and the corresponding signal offset error. The signal offset error includes the near-field beacon signal amplitude offset and the satellite monitoring signal purity offset. The Euclidean distance between each security benchmark anchor point is traversed and calculated to generate an anchor point spacing distribution matrix. Based on the anchor point spacing distribution matrix, the search radius parameter and weight attenuation coefficient of the spatial interpolation algorithm are determined. Using the spatial location attributes of each security benchmark anchor point as interpolation nodes and the corresponding near-field beacon signal amplitude offset as interpolation node values, the inverse distance weighted interpolation algorithm is called. Adjacent anchor points participating in the interpolation are selected according to the search radius parameter. Spatial distance weights are assigned to each adjacent anchor point according to the weight attenuation coefficient. The near-field beacon signal amplitude offsets of the selected adjacent anchor points are weighted and summed to generate a continuous field of near-field beacon signal amplitude offsets covering the entire monitoring area. Using the spatial location attributes of each security benchmark anchor point as interpolation nodes and the corresponding satellite monitoring signal purity offset as interpolation node values, the inverse distance weighted interpolation algorithm is called. Adjacent anchor points participating in the interpolation are selected according to the search radius parameter. Spatial distance weights are assigned to each adjacent anchor point according to the weight attenuation coefficient. The satellite monitoring signal purity offsets of the selected adjacent anchor points are weighted and summed to generate a continuous field of satellite monitoring signal purity offset covering the entire monitoring area. The continuous field of near-field beacon signal amplitude offset and the continuous field of satellite monitoring signal purity offset are spatially grid-aligned and superimposed with grid-by-grid values ​​to generate a signal offset compensation field carrying multi-source offset attributes.

5. The equipment operation and maintenance method based on multi-source fusion positioning according to claim 1, characterized in that, Based on the signal offset compensation field, the preset violation warning triggering interference boundary is adaptively corrected and updated, including: Read the signal offset compensation field, extract the near-field beacon signal amplitude offset compensation value and the satellite monitoring signal purity offset compensation value of each spatial grid point, perform confidence verification on the near-field beacon signal amplitude offset compensation value of each spatial grid point, remove abnormal compensation values ​​that exceed the preset offset confidence interval, and mark them as valid compensation values ​​for the near-field beacon signal; perform confidence verification on the satellite monitoring signal purity offset compensation value of each spatial grid point, remove abnormal compensation values ​​that exceed the preset offset confidence interval, and mark them as valid compensation values ​​for the satellite monitoring signal. Read the preset violation warning triggering interference boundary, and extract the near-field beacon signal amplitude triggering threshold and satellite monitoring signal purity triggering threshold for each spatial grid point; The effective compensation value of the near-field beacon signal is added to the near-field beacon signal amplitude trigger threshold at the corresponding spatial grid point, and a preliminary correction value for the near-field beacon signal amplitude is generated. Boundary constraint verification is performed on the preliminary correction value of the near-field beacon signal amplitude. The preliminary correction value of the near-field beacon signal amplitude is compared with the preset upper limit and lower limit of the amplitude trigger threshold at each grid point. When the preliminary correction value of the near-field beacon signal amplitude exceeds the upper limit of the amplitude trigger threshold, the upper limit of the amplitude trigger threshold is assigned to the near-field beacon signal amplitude correction threshold at the corresponding spatial grid point. When the preliminary correction value of the near-field beacon signal amplitude is lower than the lower limit of the amplitude trigger threshold, the lower limit of the amplitude trigger threshold is assigned to the near-field beacon signal amplitude correction threshold at the corresponding spatial grid point. When the preliminary correction value of the near-field beacon signal amplitude is between the upper limit and the lower limit of the amplitude trigger threshold, the preliminary correction value of the near-field beacon signal amplitude is directly assigned to the near-field beacon signal amplitude correction threshold at the corresponding spatial grid point. The effective compensation value of the satellite monitoring signal is added to the satellite monitoring signal purity trigger threshold of the corresponding spatial grid point grid by grid-by-grid to generate a preliminary correction value for the purity of the satellite monitoring signal. Boundary constraint verification is performed on the preliminary correction value for the purity of the satellite monitoring signal. The preliminary correction value for the purity of the satellite monitoring signal is compared with the preset upper limit and lower limit of the purity trigger threshold grid by grid. When the preliminary correction value for the purity of the satellite monitoring signal exceeds the upper limit of the purity trigger threshold, the upper limit of the purity trigger threshold is assigned to the satellite monitoring signal purity correction threshold of the corresponding spatial grid point. When the preliminary correction value for the purity of the satellite monitoring signal is lower than the lower limit of the purity trigger threshold, the lower limit of the purity trigger threshold is assigned to the satellite monitoring signal purity correction threshold of the corresponding spatial grid point. When the preliminary correction value for the purity of the satellite monitoring signal is between the upper limit and the lower limit of the purity trigger threshold, the preliminary correction value for the purity of the satellite monitoring signal is directly assigned to the satellite monitoring signal purity correction threshold of the corresponding spatial grid point. The near-field beacon signal amplitude correction threshold and the satellite monitoring signal purity correction threshold are associated and bound according to the coordinate attributes of the corresponding spatial grid points to generate an updated violation warning triggering interference boundary.

6. The equipment operation and maintenance method based on multi-source fusion positioning according to claim 1, characterized in that, Based on multi-source monitoring signals and the operating status signals of security monitoring equipment, the electromagnetic field interference anomaly level of the monitored object is determined, and the confidence level of the early warning trigger is output, including: Read multi-source monitoring signals, extract the real-time amplitude of near-field beacon signals of the monitored objects, the real-time purity of satellite monitoring signals and access control verification event signals, read the operating status signals of security monitoring equipment, and extract the near-field beacon power supply voltage and the near-field beacon signal broadcast compliance rate; The near-field beacon signal real-time amplitude is calculated using a sliding window to generate a near-field beacon signal amplitude stability score. The satellite monitoring signal real-time purity is compared with the satellite monitoring signal purity benchmark value to generate a satellite monitoring signal quality score. The access control verification event signal is analyzed in time series to extract the access control deployment location of the most recent access control verification event of the monitored object. The access control deployment location is calculated with the Euclidean distance between the access control location and the current location of the monitored object to generate an access control location consistency score. The near-field beacon power supply voltage is compared with the near-field beacon power supply voltage reference value to generate a near-field beacon power supply health score. The near-field beacon signal broadcast compliance rate is mapped to a near-field beacon communication health score. The near-field beacon power supply health score and the near-field beacon communication health score are weighted and fused to generate a near-field beacon device health score. The displacement vector of the monitored object is calculated by comparing its current location with its previous location to generate an instantaneous movement speed. The instantaneous movement speed is then compared with the historical average movement speed. When the instantaneous movement speed exceeds the preset deviation range of the historical average movement speed, an abnormal trajectory deduction factor is generated. The near-field beacon signal amplitude stability score is multiplied by a first preset weighting coefficient to generate a signal quality dimension score. The satellite monitoring signal quality score is multiplied by a second preset weighting coefficient to generate a satellite signal dimension score. The access control position consistency score is multiplied by a third preset weighting coefficient to generate an access control verification dimension score. The near-field beacon device health score is multiplied by a fourth preset weighting coefficient to generate a device health dimension score. The trajectory anomaly deduction factor is subtracted from the weighted sum of the signal quality dimension score, satellite signal dimension score, access control verification dimension score, and device health dimension score to generate the early warning trigger credibility.

7. The equipment operation and maintenance method based on multi-source fusion positioning according to claim 1, characterized in that, The system uses a joint logical judgment between the warning trigger interference boundary and the warning trigger credibility. When the electromagnetic field interference characteristics of the monitored object exceed the compliance range corresponding to the warning trigger interference boundary, a corresponding level of violation security warning is triggered based on the level range of the warning trigger credibility, including: Read the updated violation warning triggers the interference boundary, extract the near-field beacon signal amplitude correction threshold and the satellite monitoring signal purity correction threshold corresponding to the current location of the monitored object in the spatial grid point, and combine the near-field beacon signal amplitude correction threshold and the satellite monitoring signal purity correction threshold to form the upper limit of the compliance range of the current spatial grid point; Read the real-time amplitude of the near-field beacon signal of the monitored object at the current moment and the real-time purity of the satellite monitoring signal. Compare the real-time amplitude of the near-field beacon signal with the near-field beacon signal amplitude correction threshold of the current spatial grid point item by item. When the real-time amplitude of the near-field beacon signal exceeds the near-field beacon signal amplitude correction threshold, generate a near-field beacon signal out-of-bounds flag. The real-time purity of the satellite monitoring signal is compared with the satellite monitoring signal purity correction threshold of the current space grid point item by item. When the real-time purity of the satellite monitoring signal exceeds the satellite monitoring signal purity correction threshold, a satellite monitoring signal out-of-bounds marker is generated. Read the warning trigger credibility and compare the warning trigger credibility with the preset first credibility threshold and second credibility threshold step by step. The first credibility threshold is higher than the second credibility threshold. When the confidence level of the warning trigger is greater than or equal to the first confidence level threshold, the level range in which the warning trigger confidence level is located is marked as the first confidence level range; When the confidence level of the warning trigger is less than the first confidence level threshold but greater than or equal to the second confidence level threshold, it is marked as the second confidence level interval; When the confidence level of the warning trigger is less than the second confidence level threshold, it is marked as the third confidence level interval; A logical OR operation is performed between the near-field beacon signal boundary crossing marker and the satellite monitoring signal boundary crossing marker. When either boundary crossing marker is true, it is determined that the electromagnetic field interference characteristics of the monitored object exceed the upper limit of the compliance range of the current spatial grid point. When it is determined that the electromagnetic field interference characteristics exceed the upper limit of the compliance range and the confidence level of the warning trigger is in the first confidence level range, the first level of security violation warning is triggered. The first level of security violation warning is to trigger the sound and light alarm device and notify the nearest security personnel. When the electromagnetic field interference characteristics are determined to exceed the upper limit of the compliance range and the confidence level of the warning trigger is in the second confidence level range, a second-level violation security warning is triggered. The second-level violation security warning is to send a warning notification to the security duty terminal and require remote video confirmation. When the electromagnetic field interference characteristics are determined to exceed the upper limit of the compliance range and the confidence level of the warning trigger is in the third confidence level range, a third-level violation security warning is triggered. The third-level violation security warning is to record the boundary crossing log to the security event database and mark it as pending review.

8. The equipment operation and maintenance method based on multi-source fusion positioning according to claim 1, characterized in that, When an access control verification event signal is detected, or when the amplitude attenuation trend of the satellite monitoring signal and the amplitude increase trend of the near-field beacon signal are detected, during the monitoring signal source switching transition phase, the satellite monitoring signal is used as the monitoring signal source before the switch and the near-field beacon signal is used as the monitoring signal source after the switch to determine illegal boundary crossing. When either monitoring signal source determines that the monitored object has engaged in illegal boundary crossing behavior, a violation security warning is triggered, including: The system monitors access control verification event signals in real time. When an access control verification event signal is received, a switching prediction trigger flag is generated. Simultaneously, the system collects the amplitude time series sequences of satellite monitoring signals and near-field beacon signals in real time. A sliding window linear regression analysis is performed on the amplitude time series sequence of the satellite monitoring signals to calculate the slope of the satellite monitoring signal amplitude change. A sliding window linear regression analysis is also performed on the amplitude time series sequence of the near-field beacon signals to calculate the slope of the near-field beacon signal amplitude change. When the slope of the satellite monitoring signal amplitude change is negative and its absolute value exceeds a preset attenuation slope threshold, and the slope of the near-field beacon signal amplitude change is positive and its absolute value exceeds a preset rise slope threshold, a switching prediction trigger flag is generated. When the switching prediction trigger flag is true, read the trigger time corresponding to the switching prediction trigger flag, start the monitoring signal source switching transition timer with the trigger time as the starting point, set the switching transition duration parameter, and synchronously activate the satellite monitoring signal boundary judgment thread and the near-field beacon signal boundary judgment thread during the switching transition phase corresponding to the switching transition duration parameter. The satellite monitoring signal boundary crossing determination thread executes as follows: reads the updated violation warning triggering interference boundary, extracts the satellite monitoring signal purity correction threshold corresponding to the spatial grid point of the current location of the monitored object, compares the real-time purity of the satellite monitoring signal with the satellite monitoring signal purity correction threshold item by item, and generates a satellite monitoring signal boundary crossing determination result when the real-time purity of the satellite monitoring signal exceeds the satellite monitoring signal purity correction threshold. The near-field beacon signal out-of-bounds determination thread executes as follows: It reads the updated violation warning triggering interference boundary, extracts the near-field beacon signal amplitude correction threshold corresponding to the spatial grid point of the current location of the monitored object, compares the real-time amplitude of the near-field beacon signal with the near-field beacon signal amplitude correction threshold item by item, and generates a near-field beacon signal out-of-bounds determination result when the real-time amplitude of the near-field beacon signal exceeds the near-field beacon signal amplitude correction threshold. The satellite monitoring signal boundary crossing determination result and the near-field beacon signal boundary crossing determination result are logically ORed. When either the satellite monitoring signal boundary crossing determination result or the near-field beacon signal boundary crossing determination result is a boundary crossing, it is determined that the monitored object has violated the boundary and a violation security warning is triggered.

9. The equipment operation and maintenance method based on multi-source fusion positioning according to claim 1, characterized in that, When the monitoring signal source switching fails, the system will downgrade to use the cellular base station signal to complete security monitoring and trigger a monitoring mode downgrade warning, including: The timing status of the handover transition timer is monitored in real time. When the handover transition phase corresponding to the handover transition duration parameter ends, the current output status of the satellite monitoring signal boundary judgment thread and the current output status of the near-field beacon signal boundary judgment thread are read. When the current output status of the satellite monitoring signal boundary judgment thread is no output or the current output status of the near-field beacon signal boundary judgment thread is no output, a handover execution failure flag is generated. When the switch execution failure flag is true, the registration status of the cellular base station signal acquisition module is read. When the cellular base station signal acquisition module is in the online registration state, a signal acquisition activation command is sent to the cellular base station signal acquisition module. After receiving the signal acquisition activation command, the cellular base station signal acquisition module starts the real-time amplitude acquisition of the cellular base station signal and generates the real-time amplitude sequence of the cellular base station signal. The real-time amplitude sequence of cellular base station signals is subjected to sliding window mean filtering to remove instantaneous fluctuation outliers and generate stable amplitude of cellular base station signals. The stable amplitude of cellular base station signals is then compared with the pre-stored baseline amplitude of cellular base station signals to generate a cellular base station signal quality score. The system reads the updated violation warning triggering boundary, extracts the cellular base station signal amplitude trigger threshold corresponding to the spatial grid point of the current location of the monitored object, compares the stable amplitude of the cellular base station signal with the cellular base station signal amplitude trigger threshold item by item, and determines that the monitored object has violated the boundary by reading the updated violation warning triggering boundary interference boundary. Simultaneously, a monitoring mode degradation warning signal is generated. The monitoring mode degradation warning signal includes a handover execution failure flag, identification information of downgraded cellular base station signal activation, and cellular base station signal quality score. The monitoring mode degradation warning signal is sent to the security duty terminal. After receiving the monitoring mode degradation warning signal, the security duty terminal displays a monitoring mode degradation warning prompt box on the display interface. The monitoring mode degradation warning prompt box includes an explanation of the degradation reason and the current positioning accuracy level identifier.

10. A device operation and maintenance system based on multi-source fusion positioning, characterized in that, The system applicable to the method of any one of claims 1 to 9 comprises: The signal acquisition module is used to acquire multi-source monitoring signals and security monitoring equipment operation status signals. The multi-source monitoring signals include satellite monitoring signals, near-field beacon signals, and access control verification event signals. An anchor point generation module, connected to the signal acquisition module, is used to take the access control deployment location carried in the access control verification event signal as a security reference anchor point and extract the real-time electromagnetic field interference characteristic parameters at the security reference anchor point; The offset detection module, connected to the anchor point generation module, is used to match and compare the real-time electromagnetic field interference characteristic parameters with the pre-stored standard reference interference characteristic parameters to detect the signal offset error. The compensation field generation module is connected to the offset detection module and is used to perform a global extrapolation and correction of the signal offset error of multiple security reference anchor points using a spatial fitting extrapolation algorithm to generate a signal offset compensation field. The boundary correction module, connected to the compensation field generation module, is used to adaptively correct the preset violation warning triggering interference boundary based on the signal offset compensation field and update the warning triggering interference boundary. The credibility assessment module, connected to the signal acquisition module, is used to determine the electromagnetic field interference anomaly level of the monitored object based on the multi-source monitoring signals and the operating status signals of the security monitoring equipment, and output the credibility of the early warning trigger. The joint judgment module is connected to the boundary correction module and the credibility assessment module respectively. It is used to perform joint logical judgment on the warning trigger interference boundary and the warning trigger credibility. When the electromagnetic field interference characteristics of the monitored object exceed the compliance range corresponding to the warning trigger interference boundary, the corresponding level of violation security warning is triggered according to the level range of the warning trigger credibility. The switching determination module, connected to the signal acquisition module and the boundary correction module, is used to simultaneously use the satellite monitoring signal as the monitoring signal source before switching and the near-field beacon signal as the monitoring signal source after switching during the transition phase of the monitoring signal source switching when the access control verification event signal is detected or the amplitude attenuation trend of the satellite monitoring signal and the amplitude increase trend of the near-field beacon signal are detected. When either monitoring signal source determines that the monitored object has committed an illegal boundary crossing behavior, the illegal security warning is triggered. The downgrade processing module, connected to the handover determination module, is used to downgrade the cellular base station signal to complete security monitoring and trigger a monitoring mode downgrade warning when the monitoring signal source handover fails.

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