CN113159911A - Intelligent bidding main body performance monitoring and system based on big data platform - Google Patents
Intelligent bidding main body performance monitoring and system based on big data platform Download PDFInfo
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Abstract
The embodiment of the application provides an intelligent tendering and bidding subject performing monitoring method and system based on a big data platform, and the problems of low performing monitoring accuracy and low monitoring efficiency of tendering and bidding subjects can be solved. The method comprises the following steps: acquiring Bluetooth communication information of a fixed operation terminal of a target qualification user; judging whether the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user currently or not according to the Bluetooth communication information; after judging that the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user at present, searching an operation file in the process of the fixed operation terminal according to preset operation identification information; and matching the searched operation file with the standard operation file, if the matching degree is higher than the preset matching degree, not generating an alarm message, and otherwise, generating a first alarm message.
Description
Technical Field
The application relates to the technical field of data processing, in particular to an intelligent bidding subject fulfillment monitoring method and system based on a big data platform.
Background
At present, establishment of a bidding credit supervision system is beneficial to exerting the decisive role of the market in resource allocation, effectively standardizing the market order, practically reducing the bidding cost and enhancing the predictability and efficiency of economic and social activities. However, the existing supervision mode for the performance of the bidding subject is mainly based on the reported data of the supervised object for evaluation, so that the data is hard to distinguish truly and falsely, the data samples are not uniform, accurate supervision is difficult to obtain, and the supervision efficiency is low.
Disclosure of Invention
The embodiment of the application provides an intelligent tendering and bidding subject performing monitoring method and system based on a big data platform, and the problems of low performing monitoring accuracy and low monitoring efficiency of tendering and bidding subjects can be solved.
A first aspect of the embodiments of the present application provides a method for monitoring performance of an intelligent bidding subject based on a big data platform, including:
acquiring Bluetooth communication information of a fixed operation terminal of a target qualification user;
judging whether the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user currently or not according to the Bluetooth communication information;
after judging that the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user at present, searching an operation file in the process of the fixed operation terminal according to preset operation identification information;
and matching the searched operation file with the standard operation file, if the matching degree is higher than the preset matching degree, not generating an alarm message, and otherwise, generating a first alarm message.
Optionally, before the step of matching the searched job file with the standard job file, if the matching degree is higher than the preset matching degree, no warning message is generated, and otherwise, both the steps of generating warning messages are performed, the method further includes:
acquiring target operation sample information of a field corresponding to the preset operation identification information or a field to which the target subject to be evaluated belongs in the whole network through a web crawler process;
and training the neural network through the target operation sample information, and predicting a standard operation file based on the trained neural network model.
Optionally, the method further comprises:
acquiring terminal position information of a mobile terminal of a target qualification user;
accessing a map application by adopting an API port to acquire a plurality of main body position information of a target field, wherein the plurality of main body position information of the target field do not include the position information of a target main body to be evaluated;
monitoring the distance between the position indicated by the terminal position information and the position indicated by each piece of position information indicated by the plurality of pieces of main body position information in the target field, and when the distance is smaller than a preset distance, continuing to monitor the staying time of the target qualification user terminal and the staying times of the target qualification user terminal;
and when the stay time of the target qualification user terminal is longer than the preset time and the stay times of the target qualification user terminal are longer than the preset times, generating a second warning message.
Optionally, the method further comprises:
when the target subject to be evaluated is a medical subject, acquiring user characteristic information of a user to which a target prescription generated by the target subject to be evaluated belongs and medicine identification information of a medicine corresponding to the target prescription, wherein the user characteristic information is passively acquired information of the user;
generating administration result data corresponding to the target prescription based on the drug identification information and the user characteristic information.
Optionally, the user characteristic information is obtained by analyzing image data automatically obtained based on a front-end imaging device of the user terminal when the user operates the user terminal, and the user characteristic information includes: gender information, age information, hair size information, and skin condition information;
the generating of the administration result data corresponding to the target prescription based on the drug identification information and the user characteristic information specifically includes:
generating information of a drug exclusion item according to the user characteristic information;
and comparing the medicine exclusion item information with the medicine identification information, and generating a third warning message when the medicine identification information contains the medicine exclusion item information, wherein the third warning message comprises an illegal prescription warning message and/or a dispensing error warning message.
Optionally, the user characteristic information includes user symptom information;
the method further comprises the following steps:
acquiring prescription sample information corresponding to the user symptom information in the whole network through a web crawler process;
training a neural network through the user symptom information and the target prescription sample information, and predicting standard prescription information corresponding to the current user symptom information based on a trained neural network model.
And comparing the standard prescription information with the target prescription, and generating an illegal prescription warning message when the matching degree of the standard prescription information and the target prescription is lower than the preset matching degree.
Optionally, the method further includes:
after terminal position information of a target qualification user terminal is obtained, monitoring the current interaction mode of the target qualification user and the target qualification user terminal, wherein the interaction mode comprises screen knocking strength, screen knocking speed and screen sliding distance, comparing the current interaction mode with a historical interaction mode, abandoning the current terminal position information if the current interaction mode and the historical interaction mode are not matched, and generating a fourth assessment warning message.
A second aspect of the embodiments of the present application provides an intelligent bidding subject performance monitoring system based on a big data platform, including:
the acquisition unit is used for acquiring the Bluetooth communication information of the fixed operation terminal of the target qualification user;
the judging unit is used for judging whether the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user currently or not according to the Bluetooth communication information;
a searching unit, configured to search the job file in the process of the fixed job terminal according to preset job identification information after determining that the fixed job terminal is currently in bluetooth communication with the mobile terminal of the target qualification user
And the monitoring unit is used for matching the searched job file with the standard job file, if the matching degree is higher than the preset matching degree, no alarm message is generated, and otherwise, first alarm messages are generated.
A third aspect of the embodiments of the present application provides an electronic device, which includes a memory and a processor, where the processor is configured to implement the steps of the foregoing intelligent tendering and bidding subject performance monitoring method based on a big data platform when executing a computer program stored in the memory.
A fourth aspect of the present embodiment provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the above-mentioned intelligent tendering and bidding subject performance monitoring method based on a big data platform.
In summary, the method for monitoring performance of the intelligent bidding subject based on the big data platform provided by the embodiment of the present application includes: acquiring Bluetooth communication information of a fixed operation terminal of a target qualification user; judging whether the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user currently or not according to the Bluetooth communication information; after judging that the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user at present, searching an operation file in the process of the fixed operation terminal according to preset operation identification information; and matching the searched operation file with the standard operation file, if the matching degree is higher than the preset matching degree, not generating an alarm message, and otherwise, generating a first alarm message. The fixed operation terminal of the target qualification user belonging to the main body to be monitored is monitored by monitoring the fixed operation terminal of the target qualification user belonging to the main body to be monitored, for example, the mac address of a working desktop computer of the target qualification user is collected in advance to uniquely identify the fixed operation terminal, and then the mobile terminal carried by the target qualification user belonging to the main body to be monitored within a preset distance is monitored by the Bluetooth communication function of the fixed operation terminal, so that the target qualification user belonging to the main body to be monitored is quickly positioned The method has the advantages of fast and efficient identification, and avoiding the problem of low evaluation accuracy caused by data counterfeiting or report omission possibly occurring in the performance monitoring of the bidding subject.
Accordingly, the system, the electronic device and the computer-readable storage medium provided by the embodiment of the invention also have the technical effects.
Drawings
Fig. 1 is a schematic flowchart of a possible method for monitoring performance of an intelligent bidding subject based on a big data platform according to an embodiment of the present application;
FIG. 2 is a schematic block diagram of a possible intelligent bidding subject performance monitoring system based on a big data platform according to an embodiment of the present application;
fig. 3 is a schematic hardware structure diagram of a possible intelligent bidding subject performance monitoring system based on a big data platform according to an embodiment of the present application;
fig. 4 is a schematic structural block diagram of a possible electronic device provided in an embodiment of the present application;
fig. 5 is a schematic structural block diagram of a possible computer-readable storage medium provided in an embodiment of the present application.
Detailed Description
The embodiment of the application provides an intelligent tendering and bidding subject performing monitoring method and related equipment based on a big data platform, and can solve the problems of low accuracy and low monitoring efficiency of tendering and bidding subject performing monitoring.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments.
Referring to fig. 1, a flowchart of an intelligent bidding subject performance monitoring method based on a big data platform provided in an embodiment of the present application may specifically include:
S110-S140。
s110, Bluetooth communication information of the fixed operation terminal of the target qualification user is obtained.
S120, judging whether the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user currently or not according to the Bluetooth communication information;
s130, after judging that the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user currently, searching an operation file in the process of the fixed operation terminal according to preset operation identification information.
And S140, matching the searched job file with the standard job file, if the matching degree is higher than the preset matching degree, not generating an alarm message, and otherwise, generating a first alarm message.
In summary, the method for monitoring performance of the intelligent bidding subject based on the big data platform provided by the above embodiments adopts: acquiring Bluetooth communication information of a fixed operation terminal of a target qualification user; judging whether the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user currently or not according to the Bluetooth communication information; after judging that the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user at present, searching an operation file in the process of the fixed operation terminal according to preset operation identification information; and matching the searched operation file with the standard operation file, if the matching degree is higher than the preset matching degree, not generating an alarm message, and otherwise, generating a first alarm message. The fixed operation terminal of the target qualification user belonging to the main body to be monitored is monitored by monitoring the fixed operation terminal of the target qualification user belonging to the main body to be monitored, for example, the mac address of a working desktop computer of the target qualification user is collected in advance to uniquely identify the fixed operation terminal, and then the mobile terminal carried by the target qualification user belonging to the main body to be monitored within a preset distance is monitored by the Bluetooth communication function of the fixed operation terminal, so that the target qualification user belonging to the main body to be monitored is quickly positioned The method has the advantages of fast and efficient identification, and avoiding the problem of low evaluation accuracy caused by data counterfeiting or report omission possibly occurring in the performance monitoring of the bidding subject.
In some examples, before the step of matching the found job file with the standard job file, and if the matching degree is higher than the preset matching degree, not generating the warning message, and otherwise, generating the warning message, the method further includes:
acquiring target operation sample information of a field corresponding to the preset operation identification information or a field to which the target subject to be evaluated belongs in the whole network through a web crawler process;
and training the neural network through the target operation sample information, and predicting a standard operation file based on the trained neural network model. And further matching the big data prediction standard operation file with the searched operation file, and if the matching degree is higher than the preset matching degree, not generating an alarm message, otherwise, generating a first alarm message. Therefore, qualified personnel are further identified, the replacement and impersonation of the personnel are avoided, and the monitoring accuracy is further improved. And when the operation level of the qualification personnel is lower than the operation files of the prediction standard for a long time, namely the operation level of the qualification personnel is not matched for a plurality of times for a long time, the qualification personnel can be used as the evaluation standard for performing monitoring of the bidding subject even if the qualification personnel does not have the situation of substitution impersonation, for example, when the operation files of the found qualification personnel are not matched with the operation files of the prediction standard for more than 10 times in a half year, the qualification assessment result is determined to be unqualified, and the qualification assessment basis can be provided for a qualification issuing department.
In some examples, terminal location information of a mobile terminal of a target qualified user is obtained;
accessing a map application by adopting an API port to acquire a plurality of main body position information of a target field, wherein the plurality of main body position information of the target field do not include the position information of a target main body to be evaluated;
monitoring the distance between the position indicated by the terminal position information and the position indicated by each piece of position information indicated by the plurality of pieces of main body position information in the target field, and when the distance is smaller than a preset distance, continuing to monitor the staying time of the target qualification user terminal and the staying times of the target qualification user terminal;
and when the stay time of the target qualification user terminal is longer than the preset time and the stay times of the target qualification user terminal are longer than the preset times, generating a second warning message.
It should be noted that, in the above embodiment, by monitoring the terminal location information of the target qualification user belonging to the subject to be evaluated and combining with the location information of other multiple subjects in the target field obtained by using the API port access map application, the accurate, fast and efficient identification of important evaluation factors such as qualification attachment, fraud, illegal compatibility and the like in the credit evaluation of the bidding subject is ensured by monitoring the location and the dwell time, and the problem of low evaluation accuracy caused by data fraud or report omission that may occur in the credit evaluation of the bidding subject is avoided.
In some examples, the user characteristic information is obtained by analyzing image data automatically obtained based on a front-facing imaging device of the user terminal when the user operates the user terminal, and the user characteristic information includes: gender information, age information, hair size information, and skin condition information;
generating supervision result data corresponding to the target prescription based on the medicine identification information and the user characteristic information, wherein the evaluating the target subject to be evaluated based on the supervision result data specifically comprises:
generating information of a drug exclusion item according to the user characteristic information;
and comparing the medicine exclusion item information with the medicine identification information, and generating a third evaluation alarm message when the medicine identification information contains the medicine exclusion item information, wherein the alarm message comprises an illegal prescription alarm message and/or a dispensing error alarm message.
Such as identifying that the user is male, the medication exclusion item information should include a gynecological medication. For example, an alert message may need to be generated if a gynecological medication is found in a prescription for a male user. For example, if the user is identified as a child, the medication exclusion item information should include an elderly medication, for example, if an elderly medication is found in the prescription for the child user, an alert message needs to be generated. For example, if it is recognized that the user has a sufficient amount of hair, the drug exclusion item information should include a hair growth drug, for example, if a hair growth drug is found in the prescription of the user with a sufficient amount of hair, an alarm message needs to be generated.
In some examples, the user characteristic information comprises user symptom information;
the method further comprises the following steps:
acquiring prescription sample information corresponding to the user symptom information in the whole network through a web crawler process;
training a neural network through the user symptom information and the target prescription sample information, and predicting standard prescription information corresponding to the current user symptom information based on a trained neural network model.
In some examples, the method further comprises:
and comparing the standard prescription information with the target prescription, and generating an illegal prescription warning message when the matching degree of the standard prescription information and the target prescription is lower than the preset matching degree.
In some examples, the method further comprises:
after terminal position information of a target qualification user terminal is obtained, monitoring the current interaction mode of the target qualification user and the target qualification user terminal, wherein the interaction mode comprises screen knocking strength, screen knocking speed and screen sliding distance, comparing the current interaction mode with a historical interaction mode, abandoning the current terminal position information if the current interaction mode and the historical interaction mode are not matched, and generating a fourth assessment warning message.
When the terminal position information of the target qualification user who monitors the target qualification user under the jurisdiction of the subject to be evaluated is utilized to evaluate the qualification personnel in the credit evaluation of the bidding subject, and the important evaluation factors such as qualification attachment, counterfeiting, illegal compatibility and the like are accurately, quickly and efficiently identified, in order to further improve the accuracy of data and avoid cheating of the subject to be evaluated by utilizing the terminal, the qualification personnel can be further identified by recording the screen knocking strength, the screen knocking speed and the screen sliding distance, and the monitoring accuracy is further improved.
The foregoing describes a method for monitoring the performance of an intelligent bidding subject based on a big data platform in the embodiment of the present application, and the following describes a system for monitoring the performance of an intelligent bidding subject based on a big data platform in the embodiment of the present application.
Referring to fig. 2, an embodiment of a big data platform-based intelligent bidding subject performance monitoring system described in the embodiment of the present application may include:
an obtaining unit 201, configured to obtain bluetooth communication information of a fixed operation terminal of a target qualification user;
a judging unit 202, configured to judge, according to bluetooth communication information, whether the fixed operation terminal currently performs bluetooth communication with the mobile terminal of the target qualification user;
a searching unit 203, configured to search an operation file in a process of the fixed operation terminal according to preset operation identification information after determining that the fixed operation terminal is currently in bluetooth communication with the mobile terminal of the target qualification user
And the monitoring unit 204 is configured to match the searched job file with the standard job file, and if the matching degree is higher than a preset matching degree, no warning message is generated, otherwise, a first warning message is generated.
In summary, the method for monitoring performance of the intelligent bidding subject based on the big data platform provided by the above embodiments adopts: acquiring Bluetooth communication information of a fixed operation terminal of a target qualification user; judging whether the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user currently or not according to the Bluetooth communication information; after judging that the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user at present, searching an operation file in the process of the fixed operation terminal according to preset operation identification information; and matching the searched operation file with the standard operation file, if the matching degree is higher than the preset matching degree, not generating an alarm message, and otherwise, generating a first alarm message. The fixed operation terminal of the target qualification user belonging to the main body to be monitored is monitored by monitoring the fixed operation terminal of the target qualification user belonging to the main body to be monitored, for example, the mac address of a working desktop computer of the target qualification user is collected in advance to uniquely identify the fixed operation terminal, and then the mobile terminal carried by the target qualification user belonging to the main body to be monitored within a preset distance is monitored by the Bluetooth communication function of the fixed operation terminal, so that the target qualification user belonging to the main body to be monitored is quickly positioned The method has the advantages of fast and efficient identification, and avoiding the problem of low evaluation accuracy caused by data counterfeiting or report omission possibly occurring in the performance monitoring of the bidding subject.
Fig. 2 above describes the intelligent bidding subject performance monitoring system based on a big data platform in the embodiment of the present application from the perspective of a modular functional entity, and the following describes the intelligent bidding subject performance monitoring system based on a big data platform in the embodiment of the present application in detail from the perspective of hardware processing, please refer to fig. 3, and an embodiment of the intelligent bidding subject performance monitoring system 300 based on a big data platform in the embodiment of the present application includes:
an input device 301, an output device 302, a processor 303 and a memory 304, wherein the number of the processor 303 may be one or more, and one processor 303 is taken as an example in fig. 5. In some embodiments of the present application, the input device 301, the output device 502, the processor 303, and the memory 304 may be connected by a bus or other means, wherein fig. 5 illustrates the connection by the bus.
Wherein, by calling the operation instruction stored in the memory 304, the processor 303 is configured to perform the following steps:
acquiring Bluetooth communication information of a fixed operation terminal of a target qualification user; judging whether the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user currently or not according to the Bluetooth communication information; after judging that the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user at present, searching an operation file in the process of the fixed operation terminal according to preset operation identification information; and matching the searched operation file with the standard operation file, if the matching degree is higher than the preset matching degree, not generating an alarm message, and otherwise, generating a first alarm message.
The processor 303 is also configured to perform any of the methods in the corresponding embodiments of fig. 1 by calling the operation instructions stored in the memory 304.
Referring to fig. 4, fig. 4 is a schematic view of an embodiment of an electronic device according to an embodiment of the present disclosure.
As shown in fig. 4, an electronic device provided in the embodiment of the present application includes a memory 410, a processor 420, and a computer program 411 stored in the memory 420 and executable on the processor 420, where the processor 420 executes the computer program 411 to implement the following steps:
acquiring Bluetooth communication information of a fixed operation terminal of a target qualification user; judging whether the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user currently or not according to the Bluetooth communication information; after judging that the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user at present, searching an operation file in the process of the fixed operation terminal according to preset operation identification information; and matching the searched operation file with the standard operation file, if the matching degree is higher than the preset matching degree, not generating an alarm message, and otherwise, generating a first alarm message.
In a specific implementation, when the processor 420 executes the computer program 411, any of the embodiments corresponding to fig. 1 may be implemented.
Since the electronic device described in this embodiment is a device used for implementing an intelligent bid/bid subject performance monitoring system based on a big data platform in this embodiment, based on the method described in this embodiment, a person skilled in the art can understand a specific implementation manner of the electronic device of this embodiment and various variations thereof, so that how to implement the method in this embodiment by the electronic device is not described in detail herein, and as long as the device used for implementing the method in this embodiment by the person skilled in the art falls within the scope of protection of this application.
Referring to fig. 5, fig. 5 is a schematic diagram illustrating an embodiment of a computer-readable storage medium according to the present application.
As shown in fig. 5, the present embodiment provides a computer-readable storage medium 500 having a computer program 511 stored thereon, the computer program 511 implementing the following steps when executed by a processor:
acquiring Bluetooth communication information of a fixed operation terminal of a target qualification user; judging whether the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user currently or not according to the Bluetooth communication information; after judging that the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user at present, searching an operation file in the process of the fixed operation terminal according to preset operation identification information; and matching the searched operation file with the standard operation file, if the matching degree is higher than the preset matching degree, not generating an alarm message, and otherwise, generating a first alarm message.
The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. The intelligent tendering and bidding subject performance monitoring method based on the big data platform is characterized by comprising the following steps:
acquiring Bluetooth communication information of a fixed operation terminal of a target qualification user;
judging whether the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user currently or not according to the Bluetooth communication information;
after judging that the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user at present, searching an operation file in the process of the fixed operation terminal according to preset operation identification information;
and matching the searched operation file with the standard operation file, if the matching degree is higher than the preset matching degree, not generating an alarm message, and otherwise, generating a first alarm message.
2. The method according to claim 1, wherein before the step of matching the searched job file with the standard job file, and if the matching degree is higher than the preset matching degree, not generating the warning message, otherwise, generating the warning message, the method further comprises:
acquiring target operation sample information of a field corresponding to the preset operation identification information or a field to which the target subject to be evaluated belongs in the whole network through a web crawler process;
and training the neural network through the target operation sample information, and predicting a standard operation file based on the trained neural network model.
3. The method of claim 1, further comprising:
acquiring terminal position information of a mobile terminal of a target qualification user;
accessing a map application by adopting an API port to acquire a plurality of main body position information of a target field, wherein the plurality of main body position information of the target field do not include the position information of a target main body to be evaluated;
monitoring the distance between the position indicated by the terminal position information and the position indicated by each piece of position information indicated by the plurality of pieces of main body position information in the target field, and when the distance is smaller than a preset distance, continuing to monitor the staying time of the target qualification user terminal and the staying times of the target qualification user terminal;
and when the stay time of the target qualification user terminal is longer than the preset time and the stay times of the target qualification user terminal are longer than the preset times, generating a second warning message.
4. The method of claim 3, further comprising:
when the target subject to be evaluated is a medical subject, acquiring user characteristic information of a user to which a target prescription generated by the target subject to be evaluated belongs and medicine identification information of a medicine corresponding to the target prescription, wherein the user characteristic information is passively acquired information of the user;
generating administration result data corresponding to the target prescription based on the drug identification information and the user characteristic information.
5. The method of claim 4,
the user characteristic information is obtained by analyzing image data automatically obtained by a front-end imaging device based on the user terminal when the user operates the user terminal, and the user characteristic information comprises: gender information, age information, hair size information, and skin condition information;
the generating of the administration result data corresponding to the target prescription based on the drug identification information and the user characteristic information specifically includes:
generating information of a drug exclusion item according to the user characteristic information;
and comparing the medicine exclusion item information with the medicine identification information, and generating a third warning message when the medicine identification information contains the medicine exclusion item information, wherein the third warning message comprises an illegal prescription warning message and/or a dispensing error warning message.
6. The method of claim 5,
the user characteristic information comprises user symptom information;
the method further comprises the following steps:
acquiring prescription sample information corresponding to the user symptom information in the whole network through a web crawler process;
training a neural network through the user symptom information and the target prescription sample information, and predicting standard prescription information corresponding to the current user symptom information based on a trained neural network model.
And comparing the standard prescription information with the target prescription, and generating an illegal prescription warning message when the matching degree of the standard prescription information and the target prescription is lower than the preset matching degree.
7. The method of claim 3, further comprising:
after terminal position information of a target qualification user terminal is obtained, monitoring the current interaction mode of the target qualification user and the target qualification user terminal, wherein the interaction mode comprises screen knocking strength, screen knocking speed and screen sliding distance, comparing the current interaction mode with a historical interaction mode, abandoning the current terminal position information if the current interaction mode and the historical interaction mode are not matched, and generating a fourth assessment warning message.
8. An intelligent bidding subject performance monitoring system based on a big data platform is characterized by comprising:
the acquisition unit is used for acquiring the Bluetooth communication information of the fixed operation terminal of the target qualification user;
the judging unit is used for judging whether the fixed operation terminal carries out Bluetooth communication with the mobile terminal of the target qualification user currently or not according to the Bluetooth communication information;
a searching unit, configured to search the job file in the process of the fixed job terminal according to preset job identification information after determining that the fixed job terminal is currently in bluetooth communication with the mobile terminal of the target qualification user
And the monitoring unit is used for matching the searched job file with the standard job file, if the matching degree is higher than the preset matching degree, no alarm message is generated, and otherwise, first alarm messages are generated.
9. An electronic device comprising a memory, a processor, wherein the processor is configured to implement the steps of the intelligent tendering subject performance monitoring method according to any one of claims 1 to 7 based on a big data platform when executing a computer program stored in the memory.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program when being executed by a processor realizes the steps of the intelligent tendering and bidding subject performance monitoring method based on the big data platform according to any one of claims 1 to 7.
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