CN114666774A - Identification matching system and method of Bluetooth device - Google Patents
Identification matching system and method of Bluetooth device Download PDFInfo
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- CN114666774A CN114666774A CN202210229826.XA CN202210229826A CN114666774A CN 114666774 A CN114666774 A CN 114666774A CN 202210229826 A CN202210229826 A CN 202210229826A CN 114666774 A CN114666774 A CN 114666774A
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W8/00—Network data management
- H04W8/005—Discovery of network devices, e.g. terminals
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention provides an identification matching system and method of Bluetooth equipment, wherein the system comprises: the reading module is used for reading the equipment code of the Bluetooth equipment to be matched with the identifier in the shielding box; the query module is used for querying a preset equipment code-viewing link library and determining a viewing link corresponding to the equipment code; the generating module is used for generating an electronic identifier based on the viewing link and printing the electronic identifier; and the attaching module is used for attaching the printed electronic identification to the Bluetooth equipment. According to the identification matching system and method for the Bluetooth equipment, the exclusive electronic identification is matched for the Bluetooth equipment before the Bluetooth equipment leaves a factory, when maintenance personnel need to check the equipment information of the Bluetooth equipment, the Bluetooth equipment is obtained based on the electronic identification without checking an equipment nameplate, a professional operation terminal is operated to transfer the equipment information, convenience is improved, and the problem that the maintenance efficiency is reduced due to the fact that the professional operation terminal is blocked, power is not available and the like is solved.
Description
Technical Field
The invention relates to the technical field of Bluetooth equipment, in particular to an identification matching system and method of Bluetooth equipment.
Background
At present, when a maintenance person maintains Bluetooth equipment (such as Bluetooth attendance equipment and the like), the maintenance person needs to check equipment information (such as operation logs, error report records and the like) of the Bluetooth equipment, generally checking an equipment nameplate, confirming an equipment code, then operating a professional operation terminal, and calling corresponding equipment information based on the equipment code, which is complicated; in addition, the professional operation terminal has the possibility of special situations such as jamming and no electricity, and the maintenance efficiency can be reduced;
therefore, a solution is needed.
Disclosure of Invention
The invention provides an identification matching system and method of Bluetooth equipment, wherein the Bluetooth equipment is matched with a dedicated electronic identification before leaving a factory, when maintenance personnel need to check the equipment information of the Bluetooth equipment, the Bluetooth equipment is obtained based on the electronic identification without checking an equipment nameplate, a professional operation terminal is operated to transfer the equipment information, the convenience is improved, and the problem that the maintenance efficiency is reduced due to the fact that the professional operation terminal is blocked, no electricity exists and the like is solved.
The invention provides an identification matching system of Bluetooth equipment, which comprises:
the reading module is used for reading the equipment code of the Bluetooth equipment to be matched with the identifier in the shielding box;
the query module is used for querying a preset equipment code-viewing link library and determining a viewing link corresponding to the equipment code;
the generating module is used for generating an electronic identifier based on the viewing link and printing the electronic identifier;
and the attaching module is used for attaching the printed electronic identifier to the Bluetooth equipment.
Preferably, the generating module performs the following operations:
acquiring a preset electronic identification library, randomly selecting electronic identifications from the electronic identification library to finish generation, and meanwhile, removing the selected electronic identifications from the electronic identification library;
matching the selected electronic identification with the viewing link to obtain a matching group;
and inputting the pairing group into a preset identification-link library.
Preferably, the attaching module performs the following operations:
acquiring the equipment outline and the normal use posture of the Bluetooth equipment, and acquiring an attachable area on the equipment outline;
acquiring an identification outline and an identification type of the printed electronic identification;
training an attaching position determining model, and inputting the equipment outline, the normal use posture, the attachable area, the identification outline and the identification type into the attaching position determining model to obtain an attaching position;
and attaching the printed electronic identifier to the attaching position.
Preferably, the training of the attachment position determination model includes:
acquiring a plurality of first attaching position determining events;
obtaining a determination type corresponding to the first attaching position determination event, wherein the determination type comprises: forward determination and reverse determination;
when the determination type corresponding to the first attaching position determination event is positive determination, verifying the first attaching position determination event based on a preset first verification strategy;
if the verification fails, removing the corresponding first attaching position determining event;
when the determination type corresponding to the first attaching position determination event is reverse determination, verifying the first attaching position determination event based on a preset second verification strategy;
if the verification fails, removing the corresponding first attaching position determining event;
when the first attaching position determining events needing to be removed are all removed, the remaining first attaching position determining events are taken as second attaching position determining events;
and inputting all the second attaching position determining events into a preset neural network training model, and performing model training to obtain an attaching position determining model.
Preferably, the identification matching system of the bluetooth device further includes:
and the processing module is used for monitoring whether an identifier matching abnormal event occurs or not, if so, formulating a processing strategy suitable for the identifier matching abnormal event, and handling processing based on the processing strategy.
Preferably, the making of the processing strategy suitable for the identification matching abnormal event comprises:
acquiring a plurality of first alternative processing strategies corresponding to the identifier matching abnormal events;
extracting a plurality of first event elements of which the identifications are matched with the abnormal events;
inquiring a preset event element-simulation demand degree library, and determining the simulation demand degree corresponding to the first event element;
accumulating and calculating the simulation demand degrees to obtain a simulation demand degree sum;
if the simulation demand degree sum is larger than or equal to a preset simulation demand degree and a threshold value, inputting the identification matching abnormal event into a preset event simulation model, and performing corresponding event simulation in a preset simulation space based on the event simulation model;
in the event simulation process, sequentially traversing the first alternative processing strategy, and performing simulation coping processing in the simulation space based on the traversed first alternative processing strategy during each traversal;
in the process of simulating the coping process, acquiring a preset evaluation node set, wherein the evaluation node set comprises: a plurality of first evaluation nodes;
acquiring a first standard value corresponding to the first evaluation node;
if the first standard value is smaller than or equal to a preset standard threshold value, rejecting the corresponding first evaluation node;
when the first evaluation nodes needing to be removed are all removed, the remaining first evaluation nodes which are removed are used as second evaluation nodes;
acquiring a recording rule corresponding to the second evaluation node, recording a coping process record in a simulated coping process based on the recording rule, and simultaneously sending the coping process record to the second evaluation node;
when the simulation coping processing is finished, acquiring a first evaluation value replied by the second evaluation node;
determining the first standard value corresponding to the second evaluation node, and taking the first standard value as a second standard value;
generating a node weight based on the second specification value according to a preset node weight generation rule;
giving the node weight corresponding to the first evaluation value to obtain a second evaluation value, and associating the second evaluation value with the corresponding first candidate processing strategy;
accumulating and calculating the second evaluation value associated with the first candidate strategy to obtain a sum of evaluation values;
taking the maximum evaluation value and the corresponding first alternative strategy as a processing strategy suitable for the identifier matching abnormal event to finish formulation;
if the sum of the simulation demand degrees is smaller than the sum of the simulation demand degrees and a threshold value, a first matching group is randomly established, and the first matching group comprises: the identification matches the abnormal event and a first alternative processing strategy;
acquiring a plurality of first historical processing events corresponding to the first matching group;
performing event analysis on the identifier matching abnormal event, and determining a first abnormal scene corresponding to the identifier matching abnormal event;
acquiring a second abnormal scene corresponding to the first historical processing event;
scene matching is carried out on the first abnormal scene and the second abnormal scene, and matching degree is obtained;
if the matching degree is smaller than or equal to a preset matching degree threshold value, rejecting the corresponding first historical processing event;
when the first historical processing events needing to be removed are all removed, taking the first historical processing events which are removed as second historical processing events;
inputting the second historical processing event into a preset effect evaluation model to obtain a third evaluation value, and associating the third evaluation value with the corresponding second collocation group;
and taking the first alternative processing strategy in the second collocation group associated with the maximum third evaluation value as the processing strategy suitable for the identifier matching abnormal event, and finishing the formulation.
Preferably, the obtaining of the first specification value corresponding to the first evaluation node includes:
acquiring a plurality of historical evaluation processes corresponding to the first evaluation node;
sequentially traversing the historical evaluation process, and splitting the traversed historical evaluation process into a plurality of first process items during each traversal;
acquiring the process sequence of the first process item;
establishing a process line, and correspondingly setting the first process item on the process line based on the process sequence;
performing feature extraction on the first process item to obtain a plurality of first process features;
acquiring a preset unqualified feature library, matching the first process features with second process features in the unqualified feature library, acquiring at least one influence feature corresponding to the matched and qualified second process features if the matching is qualified, and taking the corresponding first process item as a second process item;
determining the first process characteristics corresponding to third process items except the second process item in the first process item, and taking the first process characteristics as the third process characteristics;
matching the third process characteristic with the influence characteristic, if the matching is in accordance with the influence characteristic, acquiring a first influence value corresponding to the matched influence characteristic, associating the first influence value with the corresponding first evaluation node, and meanwhile, taking the third process item corresponding to the matched third process characteristic as a fourth process item;
determining a distribution location of the fourth process item on the process line;
determining an influence distribution based on each of the distribution locations;
inputting the influence distribution into a preset influence evaluation model to obtain a second influence value, and associating the second influence value with the corresponding first evaluation node;
after traversing the historical evaluation process, accumulating and calculating the first influence value and the second influence value associated with the first evaluation node to obtain a sum of influence values;
and taking the reciprocal of the influence value sum as a first standard value corresponding to the first evaluation node to finish the acquisition.
The invention provides an identification matching method of Bluetooth equipment, which comprises the following steps:
step 1: reading the equipment code of the Bluetooth equipment to be matched with the identifier in the shielding box;
and 2, step: inquiring a preset equipment code-viewing link library, and determining a viewing link corresponding to the equipment code;
and step 3: generating an electronic identifier based on the viewing link, and printing the electronic identifier;
and 4, step 4: and attaching the printed electronic identifier to the Bluetooth equipment.
Preferably, in step 3, generating an electronic identifier based on the viewing link includes:
acquiring a preset electronic identification library, randomly selecting electronic identifications from the electronic identification library to finish generation, and meanwhile, removing the selected electronic identifications from the electronic identification library;
matching the selected electronic identification with the viewing link to obtain a matching group;
and inputting the pairing group into a preset identification-link library.
Preferably, the step 4: attach the electronic identification after printing in on the bluetooth equipment, include:
acquiring the equipment outline and the normal use posture of the Bluetooth equipment, and acquiring an attachable area on the equipment outline;
acquiring an identification outline and an identification type of the printed electronic identification;
training an attaching position determining model, and inputting the equipment outline, the normal use posture, the attachable area, the identification outline and the identification type into the attaching position determining model to obtain an attaching position;
and attaching the printed electronic identifier to the attaching position.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram of an identifier matching system of a bluetooth device according to an embodiment of the present invention;
FIG. 2 is a diagram of an identity matching system of another Bluetooth device in an embodiment of the present invention;
fig. 3 is a flowchart of an identifier matching method for a bluetooth device according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The present invention provides an identifier matching system for bluetooth devices, as shown in fig. 1, including:
the reading module 1 is used for reading the equipment code of the Bluetooth equipment to be matched with the identifier in the shielding box;
the query module 2 is used for querying a preset device code-viewing link library and determining a viewing link corresponding to the device code;
the generating module 3 is used for generating an electronic identifier based on the viewing link and printing the electronic identifier;
and the attaching module 4 is used for attaching the printed electronic identifier to the Bluetooth equipment.
The working principle and the beneficial effects of the technical scheme are as follows:
when the Bluetooth equipment to be matched with the identifier enters the shielding box, reading the equipment code of the Bluetooth equipment (the Bluetooth equipment can be connected with the Bluetooth equipment in a Bluetooth mode and then read); inquiring a preset device code-viewing link library (storing viewing links corresponding to different device codes), and determining a viewing link corresponding to the device code (the viewing link corresponds to a page for displaying the device information of the Bluetooth device); generating an electronic identification (e.g., a two-dimensional code identification) based on the viewing link; printing an electronic identifier and attaching the electronic identifier to the Bluetooth equipment, and when a maintenance worker correspondingly checks the equipment information of the Bluetooth equipment, acquiring the electronic identifier (for example, a mobile phone code scanning jumps to an equipment information display page);
according to the embodiment of the invention, before the Bluetooth equipment leaves the factory, the Bluetooth equipment is matched with the exclusive electronic identifier, when maintenance personnel need to check the equipment information of the Bluetooth equipment, the Bluetooth equipment is obtained only based on the electronic identifier without checking an equipment nameplate, and the professional operation terminal is operated to transfer the equipment information, so that the convenience is improved, and the problem that the maintenance efficiency is reduced due to the fact that the professional operation terminal is blocked, power is not supplied and the like is avoided.
The invention provides an identification matching system of Bluetooth equipment, wherein a generating module 3 executes the following operations:
acquiring a preset electronic identification library, randomly selecting electronic identifications from the electronic identification library to finish generation, and meanwhile, removing the selected electronic identifications from the electronic identification library;
matching the selected electronic identification with the viewing link to obtain a matching group;
and inputting the pairing group into a preset identification-link library.
The working principle and the beneficial effects of the technical scheme are as follows:
when the electronic identification is generated, randomly selecting one electronic identification from a preset electronic identification library (a large number of electronic identifications are stored), and removing the electronic identification from the electronic identification library to avoid repeated matching; and matching the selected electronic identification with the viewing link to obtain a matching group, and inputting the matching group into a preset identification-link library to allow the viewing of which identification is matched with which viewing link.
The invention provides an identification matching system of Bluetooth equipment, wherein an attaching module 4 executes the following operations:
acquiring the equipment outline and the normal use posture of the Bluetooth equipment, and acquiring an attachable area on the equipment outline;
acquiring an identification outline and an identification type of the printed electronic identification;
training an attaching position determining model, and inputting the equipment outline, the normal use posture, the attachable area, the identification outline and the identification type into the attaching position determining model to obtain an attaching position;
and attaching the printed electronic identifier to the attaching position.
The working principle and the beneficial effects of the technical scheme are as follows:
when the printed electronic tag is attached to the Bluetooth device, the device profile (three-dimensional profile) and the normal use posture (for example, hanging on a wall) of the Bluetooth device are obtained, the attachable area (for example, the area except a display screen and a button) of the Bluetooth device is also obtained, and the printed electronic identification profile and the identification type (for example, a two-dimensional code) are obtained; training an attachment position determination model (the model can comprehensively determine the optimal attachment position, for example, when the Bluetooth device is hung on a wall, one surface contacting with the wall is firstly excluded, the identification type is a two-dimensional code, the attachment position is determined on the surface right above the Bluetooth device, and sufficient light is provided during code scanning), and inputting the device outline, the normal use posture, the attachable area, the identification outline and the identification type into the model to obtain the attachment position; attaching the printed electronic identifier to the attaching position to complete attaching;
according to the embodiment of the invention, the attaching position determining model is trained for determining the optimal position of the electronic mark attached and printed on the Bluetooth device, so that the attaching rationality of the mark is improved, and meanwhile, the attaching position determining model is more intelligent; generally, the types of the Bluetooth devices produced by manufacturers are various, the optimal attachment positions are different, and the application of the training attachment position determination model enables the Bluetooth devices not to be distinguished and the identification attachment to be carried out in batches, so that the identification matching efficiency is improved.
The invention provides an identification matching system of Bluetooth equipment, which trains an attaching position determining model and comprises the following components:
acquiring a plurality of first attaching position determining events;
obtaining a determination type corresponding to the first attaching position determination event, wherein the determination type comprises: forward determination and reverse determination;
when the determination type corresponding to the first attaching position determination event is positive determination, verifying the first attaching position determination event based on a preset first verification strategy;
if the verification fails, removing the corresponding first attaching position determining event;
when the determination type corresponding to the first attaching position determination event is reverse determination, verifying the first attaching position determination event based on a preset second verification strategy;
if the verification fails, removing the corresponding first attaching position determining event;
when the first attaching position determining events needing to be removed are all removed, taking the first attaching position determining events which are removed and remained as second attaching position determining events;
and inputting all the second attaching position determining events into a preset neural network training model, and performing model training to obtain an attaching position determining model.
The working principle and the beneficial effects of the technical scheme are as follows:
when the attaching position determining model is trained, acquiring a plurality of first attaching position determining events (records for manually determining the optimal attaching position on the Bluetooth device based on the device outline, the normal use posture, the attachable area, the identification outline, the identification type and the like); the determination type of the first attachment position determination event is divided into a forward determination (no attachment, determination based on the device profile or the like in the forward direction) and a reverse determination (attachment has been made, unreasonable discovery is made, and correction is made in the reverse direction); when the determination type is positive determination, verifying the corresponding first attaching position determination event based on a preset first verification strategy (positive verification strategy, for example, verifying whether the reasoning process for reasoning the optimal attaching position is reasonable or not), and if the verification is not passed, rejecting the corresponding first attaching position determination event; when the determined type is reverse determination, verifying a corresponding second attaching position determining event based on a preset second verification strategy (the reverse verification strategy is, for example, whether the error reason of the attaching position with the attaching error is verified to be reasonable or not and the correction process is reasonable), and if the verification is not passed, rejecting the corresponding first attaching position determining event; inputting the second attaching position determining events which are removed to a preset neural network training model for model training to obtain an attaching position determining model;
according to the embodiment of the invention, when the attaching position determining model is trained, a first attaching position determining event is obtained, and the setting is reasonable; in addition, the first attaching position determining event is verified respectively based on the determining type of the first attaching position determining event, and qualified second attaching position determining events are screened out to perform model training, so that the training quality of the attaching position determining model is improved.
The present invention provides an identifier matching system for bluetooth devices, as shown in fig. 2, further comprising:
and the processing module 5 is used for monitoring whether an identifier matching abnormal event occurs or not, if so, formulating a processing strategy suitable for the identifier matching abnormal event, and performing coping processing based on the processing strategy.
The working principle and the beneficial effects of the technical scheme are as follows:
monitoring whether an identifier matching abnormal event (such as device code reading failure, electronic identifier printing abnormality, electronic identifier attaching abnormality and the like) occurs when the Bluetooth device is subjected to identifier matching, if so, establishing a proper processing strategy for the identifier matching abnormal event (such as that when the device code reading failure occurs, the auxiliary mechanical arm lifts the Bluetooth device for waiting, the main mechanical arm picks the next Bluetooth device to be matched with the identifier, and when a person to be tested supplements the device code, the person to be tested relays to perform identifier matching on the Bluetooth device), and performing corresponding coping processing based on the processing strategy;
when the Bluetooth equipment is subjected to identification matching, if an identification matching abnormal event occurs, a proper processing strategy is formulated for coping processing, so that intelligent coping is realized, and coping capability of the system is improved; since printing apparatuses and the like are all consumable apparatuses and abnormality often occurs, intelligent handling is more necessary.
The invention provides an identification matching system of Bluetooth equipment, which formulates a proper processing strategy for an identification matching abnormal event, and comprises the following steps:
acquiring a plurality of first alternative processing strategies corresponding to the identifier matching abnormal events;
extracting a plurality of first event elements of which the identifications are matched with the abnormal events;
inquiring a preset event element-simulation demand degree library, and determining the simulation demand degree corresponding to the first event element;
accumulating and calculating the simulation demand degrees to obtain a simulation demand degree sum;
if the simulation demand degree sum is larger than or equal to a preset simulation demand degree and a threshold value, inputting the identification matching abnormal event into a preset event simulation model, and performing corresponding event simulation in a preset simulation space based on the event simulation model;
in the event simulation process, sequentially traversing the first alternative processing strategy, and performing simulation coping processing in the simulation space based on the traversed first alternative processing strategy during each traversal;
in the process of simulating the coping process, acquiring a preset evaluation node set, wherein the evaluation node set comprises: a plurality of first evaluation nodes;
acquiring a first standard value corresponding to the first evaluation node;
if the first standard value is smaller than or equal to a preset standard threshold value, rejecting the corresponding first evaluation node;
when the first evaluation nodes needing to be removed are all removed, the remaining first evaluation nodes which are removed are used as second evaluation nodes;
acquiring a recording rule corresponding to the second evaluation node, recording a coping process record in a simulated coping process based on the recording rule, and simultaneously sending the coping process record to the second evaluation node;
when the simulation coping processing is finished, acquiring a first evaluation value returned by the second evaluation node;
determining the first standard value corresponding to the second evaluation node, and taking the first standard value as a second standard value;
generating a node weight based on the second specification value according to a preset node weight generation rule;
giving the node weight corresponding to the first evaluation value to obtain a second evaluation value, and associating the second evaluation value with the first candidate processing strategy;
accumulating and calculating the second evaluation value associated with the first candidate strategy to obtain a sum of evaluation values;
taking the maximum evaluation value and the corresponding first candidate strategy as a processing strategy suitable for the identifier matching abnormal event to finish the formulation;
if the sum of the simulation demand degrees is smaller than the sum of the simulation demand degrees and a threshold value, a first matching group is randomly established, and the first matching group comprises: the identification matches the abnormal event and a first alternative processing strategy;
acquiring a plurality of first historical processing events corresponding to the first matching group;
performing event analysis on the identifier matching abnormal event, and determining a first abnormal scene corresponding to the identifier matching abnormal event;
acquiring a second abnormal scene corresponding to the first historical processing event;
scene matching is carried out on the first abnormal scene and the second abnormal scene, and matching degree is obtained;
if the matching degree is smaller than or equal to a preset matching degree threshold value, rejecting the corresponding first historical processing event;
when the first historical processing events needing to be removed are all removed, the remaining first historical processing events which are removed are used as second historical processing events;
inputting the second historical processing event into a preset effect evaluation model to obtain a third evaluation value, and associating the third evaluation value with the corresponding second collocation group;
and taking the first alternative processing strategy in the second collocation group associated with the maximum third evaluation value as the processing strategy suitable for the identifier matching abnormal event, and finishing the formulation.
The working principle and the beneficial effects of the technical scheme are as follows:
when the suitable processing strategy is adopted, acquiring a plurality of first alternative processing strategies (a plurality of alternative processing strategies can be provided by experience personnel) corresponding to the identification matching abnormal event; extracting a first event element for identifying and matching abnormal events (such as failed reading of equipment codes, the number of Bluetooth equipment to be identified and matched, the current position of a main mechanical arm and a secondary mechanical arm and the like); the library check determines the simulation demand degree corresponding to the first event element, and the larger the simulation demand degree is, the more simulation is needed for evaluating the effect of the first alternative processing strategy on the event; if the sum of the simulation demand degrees obtained by the accumulated calculation (summation) of the simulation demand degrees is greater than or equal to the preset simulation demand degree and the threshold value, which indicates that the simulation evaluation is required overall, inputting the identification matching abnormal event into a preset event simulation model (a pre-trained model for event simulation), and performing corresponding event simulation in a preset simulation space based on the identification matching abnormal event; summarizing the event simulation process, sequentially traversing the first alternative processing strategies, and performing corresponding simulation coping processing in a simulation space; in the process of simulation coping processing, acquiring a first evaluation node (corresponding to one evaluator, the evaluator can be a manual evaluator or a pre-trained model for evaluating the effect of the simulation coping processing); acquiring a first standard value corresponding to the first evaluation node, wherein the larger the first standard value is, the larger the evaluation overall standard degree of the first standard value is historically; if the first standard value is smaller, the corresponding first evaluation node is removed; acquiring a recording rule (recording the content type according to which the evaluation node needs to evaluate) corresponding to the eliminated residual second evaluation node, recording a corresponding process record in the simulation corresponding processing process based on the recording rule, and sending the corresponding process record to the corresponding second evaluation node; when the simulation coping processing is finished, acquiring a first evaluation value replied by the second evaluation node, wherein the larger the first evaluation value is, the better the simulation coping processing effect is; determining a second standard value corresponding to the second evaluation node, generating a node weight according to a preset node weight generation rule (the smaller the standard value is, the smaller the node weight is, the two are not completely in direct proportion, for example, the standard value is 90, the node weight is 5, the standard value is 60, and the node weight is 0), and giving a corresponding first evaluation value (multiplying the two), so as to obtain a second evaluation value; accumulating and calculating a second evaluation value, and taking the first alternative strategy corresponding to the maximum accumulated sum as a processing strategy suitable for identifying the matching abnormal event; when the sum of the simulation demand degrees is less than the sum of the simulation demand degrees and the threshold value, the simulation evaluation is not needed, the identification matching abnormal event and the first alternative processing strategy are randomly collocated, a first historical processing event (a historical record for processing the identification matching abnormal event by adopting the first alternative processing strategy) corresponding to a collocation group is obtained, the identification matching abnormal event is subjected to event analysis in detail, and a first abnormal scene (a corresponding scene, for example, the number of Bluetooth devices to be subjected to identification matching is 1002, and the like) is determined; acquiring a second abnormal scene (a scene corresponding to the first historical processing event) corresponding to the first historical processing event, and performing scene matching on the first abnormal scene and the second abnormal scene to acquire a matching degree; if the matching degree is smaller, the degree of inconsistency between the corresponding scene corresponding to the first historical processing event and the current corresponding scene is larger, the significance of effect evaluation is not achieved, and the corresponding scene is rejected; inputting the second historical processing events with the removed residues into a preset effect evaluation model (a pre-trained model for determining the processing strategy processing effect based on the historical processing events) to obtain a third evaluation value, wherein the higher the third evaluation value is, the better the processing effect is; taking the first alternative processing strategy in the second collocation group associated with the maximum third evaluation value as a processing strategy suitable for identifying the matching abnormal event;
when the processing strategy suitable for identifying the matching abnormal event is formulated, the embodiment of the invention performs careful selection from the first alternative processing strategy, thereby ensuring the suitability of the formulated processing strategy; when the careful selection is carried out, whether simulation evaluation is needed or not is determined, so that simulation evaluation resources are reduced, and the careful selection efficiency is improved; when simulation evaluation is needed, event simulation is carried out, a plurality of evaluation nodes are set to evaluate the event simulation, the comprehensiveness and rationality of evaluation are improved, and the evaluation nodes are subjected to standard screening, so that the evaluation quality is improved; when simulation evaluation is not needed, a collocation group is established to obtain the historical processing event, effect evaluation is carried out based on the historical processing event, the collocation group is reasonable in setting, verification whether the historical processing event is consistent with current correspondence or not is carried out, and evaluation quality of evaluation is improved.
The invention provides an identification matching system of Bluetooth equipment, which acquires a first standard value corresponding to a first evaluation node and comprises the following steps:
acquiring a plurality of historical evaluation processes corresponding to the first evaluation node;
sequentially traversing the historical evaluation process, and splitting the traversed historical evaluation process into a plurality of first process items during each traversal;
acquiring the process sequence of the first process item;
establishing a process line, and correspondingly setting the first process item on the process line based on the process sequence;
performing feature extraction on the first process item to obtain a plurality of first process features;
acquiring a preset unqualified feature library, matching the first process feature with a second process feature in the unqualified feature library, if the first process feature matches the second process feature in the unqualified feature library, acquiring at least one influence feature corresponding to the matched and matched second process feature, and meanwhile, taking the corresponding first process item as a second process item;
determining the first process characteristics corresponding to a third process item except the second process item in the first process item, and taking the first process characteristics as third process characteristics;
matching the third process characteristic with the influence characteristic, if the matching is in accordance with the influence characteristic, acquiring a first influence value corresponding to the matched influence characteristic, associating the first influence value with the corresponding first evaluation node, and meanwhile, taking the third process item corresponding to the matched third process characteristic as a fourth process item;
determining a distribution location of the fourth process item on the process line;
determining an influence distribution based on each of the distribution locations;
inputting the influence distribution into a preset influence evaluation model to obtain a second influence value, and associating the second influence value with the corresponding first evaluation node;
after traversing the historical evaluation process, accumulating and calculating the first influence value and the second influence value associated with the first evaluation node to obtain a sum of influence values;
and taking the reciprocal of the influence value sum as a first standard value corresponding to the first evaluation node to finish the acquisition.
The working principle and the beneficial effects of the technical scheme are as follows:
when a first standard value corresponding to a first evaluation node is obtained, a plurality of historical evaluation processes (process records for simulating and dealing with processing effect evaluation) corresponding to the first evaluation node are obtained, the process is traversed sequentially, the traversed historical evaluation processes are split into a plurality of first process items during each pass, the process sequence is obtained, and the first process items are correspondingly arranged on process lines (such as time axes and the like) based on the process sequence; extracting first process features of a first process item, matching the first process features with second process features in a preset unqualified feature library (storing a large number of features with irregular evaluation processes), if the first process features are matched with the second process features, obtaining at least one influence feature (influence feature of definite influence caused by the unnormal evaluation process of a certain process) corresponding to the matched second process features, matching third process features corresponding to other third process items with the influence features, if the first influence features are matched with the influence features, indicating that the influence is well-settled, obtaining a corresponding first influence value, wherein the larger the first influence value is, the larger the degree of influence is, meanwhile, determining the distribution positions of the corresponding fourth process items on the process items, and determining influence distribution (formed by combining the distribution positions) based on the distribution positions; inputting the influence distribution into a preset influence evaluation model (a pre-trained model for evaluating the influence degree based on the influence distribution, wherein the evaluation process is an inference process, namely what is obtained based on what, so that the processes have relevance, and the former process, if not normative, inevitably affects the latter process, so that the influence caused by the relevance between the processes can be determined based on the influence distribution), and obtaining a second influence value; accumulating and calculating a first influence value and a second influence value associated with the first evaluation node to obtain an influence value sum; the larger the sum of the influence values is, the more nonstandard the sum of the influence values is, so that the reciprocal of the sum of the influence values is used as a first standard value corresponding to a first evaluation node to finish obtaining;
when the first standard value is obtained, the first standard value is obtained based on the historical evaluation process, and the setting is reasonable; setting an unqualified feature library and influence features, determining clear influence, determining influence distribution input influence evaluation models, determining influence caused by relevance in the process, and improving the accuracy and comprehensiveness of the determination of the first standard value.
The invention provides an identification matching system of Bluetooth equipment, which further comprises:
the expansion module is used for expanding the evaluation node set;
acquiring a plurality of third evaluation nodes to be expanded, and acquiring at least one first evaluation node for guaranteeing the third evaluation nodes as a fourth evaluation node;
acquiring a guarantee value for guaranteeing the third evaluation node by the fourth evaluation node;
determining the first standard value corresponding to the fourth evaluation node, and taking the first standard value as a third standard value;
calculating an allowable value of the third evaluation node based on the guaranteed value and a third normative value, wherein the calculation formula is as follows:
wherein γ is an allowable value of the third evaluation node, αtA guarantee value, β, corresponding to the tth fourth evaluation node for guaranteeing said third evaluation nodetA third specification value corresponding to a tth fourth evaluation node vouching the third evaluation node, σ being a total number of fourth evaluation nodes vouching the third evaluation node, μ1And mu2The weight value is a preset weight value;
if the allowable value is greater than or equal to a preset allowable value threshold, adding the corresponding third evaluation node into the evaluation node set;
and when all the third evaluation nodes in the evaluation node set needing to be added are added, completing the expansion.
The working principle and the beneficial effects of the technical scheme are as follows:
when the evaluation node set is expanded, a third evaluation node to be expanded is obtained, the third evaluation node wants to be added into the evaluation node set and needs a fourth evaluation node in the evaluation node set to guarantee, and the guarantee value is larger when the guarantee degree is larger; meanwhile, a third standard value corresponding to the fourth evaluation node is obtained; calculating an allowable value based on the third standard value and the guarantee value, wherein in the formula, the standard value and the guarantee value are in direct proportion to the allowable value and are reasonably set; when the allowable value is enough, adding the corresponding third evaluation node into the evaluation node set;
the embodiment of the invention expands the evaluation node set, thereby improving the comprehensiveness of the evaluation; in addition, the allowable value is quickly calculated through the formula, whether the corresponding third evaluation node needs to be added into the value evaluation node set or not is convenient to confirm, and the working efficiency of the system is improved.
The invention provides an identification matching method of Bluetooth equipment, as shown in figure 3, comprising the following steps:
step 1: reading the equipment code of the Bluetooth equipment to be matched with the identifier in the shielding box;
step 2: inquiring a preset equipment code-viewing link library, and determining a viewing link corresponding to the equipment code;
and step 3: generating an electronic identifier based on the viewing link, and printing the electronic identifier;
and 4, step 4: and attaching the printed electronic identification to the Bluetooth equipment.
The working principle and the beneficial effects of the above technical solution have been explained in the system right, and are not described in detail.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. An identification matching system for bluetooth devices, comprising:
the reading module is used for reading the equipment code of the Bluetooth equipment to be matched with the identifier in the shielding box;
the query module is used for querying a preset equipment code-viewing link library and determining a viewing link corresponding to the equipment code;
the generating module is used for generating an electronic identifier based on the viewing link and printing the electronic identifier;
and the attaching module is used for attaching the printed electronic identifier to the Bluetooth equipment.
2. The system of claim 1, wherein the generating module performs the following operations:
acquiring a preset electronic identification library, randomly selecting electronic identifications from the electronic identification library to finish generation, and meanwhile, removing the selected electronic identifications from the electronic identification library;
matching the selected electronic identification with the viewing link to obtain a matching group;
and inputting the pairing group into a preset identification-link library.
3. The system of claim 1, wherein the attach module performs the following operations:
acquiring the equipment outline and the normal use posture of the Bluetooth equipment, and acquiring an attachable area on the equipment outline;
acquiring an identification outline and an identification type of the printed electronic identification;
training an attaching position determining model, and inputting the equipment outline, the normal use posture, the attachable area, the identification outline and the identification type into the attaching position determining model to obtain an attaching position;
and attaching the printed electronic identifier to the attaching position.
4. The identification matching system for bluetooth devices as claimed in claim 3, wherein training the attached position determination model comprises:
acquiring a plurality of first attaching position determining events;
obtaining a determination type corresponding to the first attaching position determination event, wherein the determination type comprises: forward determination and reverse determination;
when the determination type corresponding to the first attaching position determination event is positive determination, verifying the first attaching position determination event based on a preset first verification strategy;
if the verification fails, removing the corresponding first attaching position determining event;
when the determination type corresponding to the first attaching position determination event is reverse determination, verifying the first attaching position determination event based on a preset second verification strategy;
if the verification fails, removing the corresponding first attaching position determining event;
when the first attaching position determining events needing to be removed are all removed, taking the first attaching position determining events which are removed and remained as second attaching position determining events;
and inputting all the second attaching position determining events into a preset neural network training model, and performing model training to obtain an attaching position determining model.
5. The identification matching system for bluetooth devices as claimed in claim 1, further comprising:
and the processing module is used for monitoring whether an identifier matching abnormal event occurs or not, if so, formulating a processing strategy suitable for the identifier matching abnormal event, and handling processing based on the processing strategy.
6. The system of claim 1, wherein formulating a suitable handling policy for the identity matching exception comprises:
acquiring a plurality of first alternative processing strategies corresponding to the identifier matching abnormal events;
extracting a plurality of first event elements of which the identifications are matched with the abnormal events;
inquiring a preset event element-simulation demand degree library, and determining the simulation demand degree corresponding to the first event element;
accumulating and calculating the simulation demand degrees to obtain a simulation demand degree sum;
if the simulation demand degree sum is larger than or equal to a preset simulation demand degree and a threshold value, inputting the identification matching abnormal event into a preset event simulation model, and performing corresponding event simulation in a preset simulation space based on the event simulation model;
in the event simulation process, sequentially traversing the first alternative processing strategy, and performing simulation coping processing in the simulation space based on the traversed first alternative processing strategy during each traversal;
in the process of simulating the coping process, acquiring a preset evaluation node set, wherein the evaluation node set comprises: a plurality of first evaluation nodes;
acquiring a first standard value corresponding to the first evaluation node;
if the first standard value is smaller than or equal to a preset standard threshold value, rejecting the corresponding first evaluation node;
when the first evaluation nodes needing to be removed are all removed, the remaining first evaluation nodes which are removed are used as second evaluation nodes;
acquiring a recording rule corresponding to the second evaluation node, recording a coping process record in a simulated coping process based on the recording rule, and simultaneously sending the coping process record to the second evaluation node;
when the simulation coping processing is finished, acquiring a first evaluation value returned by the second evaluation node;
determining the first standard value corresponding to the second evaluation node, and using the first standard value as a second standard value;
generating a node weight based on the second specification value according to a preset node weight generation rule;
giving the node weight corresponding to the first evaluation value to obtain a second evaluation value, and associating the second evaluation value with the first candidate processing strategy;
accumulating and calculating the second evaluation value associated with the first candidate strategy to obtain a sum of evaluation values;
taking the maximum evaluation value and the corresponding first candidate strategy as a processing strategy suitable for the identifier matching abnormal event to finish the formulation;
if the sum of the simulation demand degrees is smaller than the sum of the simulation demand degrees and a threshold value, a first matching group is randomly established, and the first matching group comprises: the identification matches the abnormal event and a first alternative processing strategy;
acquiring a plurality of first historical processing events corresponding to the first matching group;
performing event analysis on the identifier matching abnormal event, and determining a first abnormal scene corresponding to the identifier matching abnormal event;
acquiring a second abnormal scene corresponding to the first historical processing event;
scene matching is carried out on the first abnormal scene and the second abnormal scene, and matching degree is obtained;
if the matching degree is smaller than or equal to a preset matching degree threshold value, rejecting the corresponding first historical processing event;
when the first historical processing events needing to be removed are all removed, taking the first historical processing events which are removed as second historical processing events;
inputting the second historical processing event into a preset effect evaluation model to obtain a third evaluation value, and associating the third evaluation value with the corresponding second collocation group;
and taking the first alternative processing strategy in the second collocation group associated with the maximum third evaluation value as the processing strategy suitable for the identifier matching abnormal event, and finishing the formulation.
7. The system of claim 6, wherein obtaining the first specification value corresponding to the first evaluation node comprises:
acquiring a plurality of historical evaluation processes corresponding to the first evaluation node;
sequentially traversing the historical evaluation process, and splitting the traversed historical evaluation process into a plurality of first process items during each traversal;
acquiring the process sequence of the first process item;
establishing a process line, and correspondingly setting the first process item on the process line based on the process sequence;
performing feature extraction on the first process item to obtain a plurality of first process features;
acquiring a preset unqualified feature library, matching the first process features with second process features in the unqualified feature library, acquiring at least one influence feature corresponding to the matched and qualified second process features if the matching is qualified, and taking the corresponding first process item as a second process item;
determining the first process characteristics corresponding to a third process item except the second process item in the first process item, and taking the first process characteristics as third process characteristics;
matching the third process characteristic with the influence characteristic, if the matching is in accordance with the influence characteristic, acquiring a first influence value corresponding to the matched influence characteristic, associating the first influence value with the corresponding first evaluation node, and meanwhile, taking the third process item corresponding to the matched third process characteristic as a fourth process item;
determining a distribution location of the fourth process item on the process line;
determining an influence distribution based on each of the distribution locations;
inputting the influence distribution into a preset influence evaluation model to obtain a second influence value, and associating the second influence value with the corresponding first evaluation node;
after traversing the historical evaluation process, accumulating and calculating the first influence value and the second influence value associated with the first evaluation node to obtain a sum of influence values;
and taking the reciprocal of the influence value sum as a first standard value corresponding to the first evaluation node to finish the acquisition.
8. An identification matching method for a bluetooth device, comprising:
step 1: reading the equipment code of the Bluetooth equipment to be matched with the identifier in the shielding box;
step 2: inquiring a preset equipment code-viewing link library, and determining a viewing link corresponding to the equipment code;
and 3, step 3: generating an electronic identifier based on the viewing link, and printing the electronic identifier;
and 4, step 4: and attaching the printed electronic identifier to the Bluetooth equipment.
9. The method for matching identifiers of bluetooth devices as claimed in claim 8, wherein in step 3, generating an electronic identifier based on the viewing link comprises:
acquiring a preset electronic identification library, randomly selecting electronic identifications from the electronic identification library to finish generation, and meanwhile, removing the selected electronic identifications from the electronic identification library;
matching the selected electronic identification with the viewing link to obtain a matching group;
and inputting the pairing group into a preset identification-link library.
10. The method for matching the identification of the bluetooth device according to claim 8, wherein the step 4: attach the electronic identification after printing in on the bluetooth equipment, include:
acquiring the equipment outline and the normal use posture of the Bluetooth equipment, and acquiring an attachable area on the equipment outline;
acquiring an identification outline and an identification type of the printed electronic identification;
training an attaching position determining model, and inputting the equipment outline, the normal use posture, the attachable area, the identification outline and the identification type into the attaching position determining model to obtain an attaching position;
and attaching the printed electronic identifier to the attaching position.
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