WO2019051950A1 - Scanning device selection method and apparatus, storage medium and computer equipment - Google Patents

Abstract

The present invention relates to a scanning device selection method. The method comprises: respectively acquiring task processing information about pre-set multiple models of scanning device; according to a normal task length, fault processing length and task volume in the task processing information about each model of scanning device, calculating the processing efficiency of each model of scanning device; and, according to the processing efficiency, generating selection recommendation information for the scanning devices, the scanning recommendation information being used for recommending to a user to select a corresponding model of scanning device to perform a task.

Description

Scanning device selection method, device, storage medium and computer device

This application claims to be filed on the Chinese Patent Office of the Chinese Patent Office on September 18, 2017, the application number is 2017108401850, and the invention is entitled "The method, device, storage medium and computer equipment of the scanning device". The citations are incorporated herein by reference.

Technical field

The present application relates to the field of information processing technologies, and in particular, to a method, an apparatus, a storage medium, and a computer device for selecting a scanning device.

Background technique

In some daily work, it is inevitable to use a scanning device to scan or print some files. When a large number of files need to be scanned or printed, there is a certain performance requirement for the scanning device. At present, the brands of scanning equipment on the market are endless, and each product model is numerous. Therefore, some companies will consider the performance of each scanning device when purchasing the scanning device, and select the appropriate scanning device according to the performance of each scanning device.

However, in the selection method of the conventional scanning device, the performance of the scanning device to be referred to is the performance of the device based on the product parameters provided by the scanning device supplier, and these product parameters are usually obtained based on good experimental conditions. The reference value for the actual business operation scenario is small. Therefore, according to the selection method of the conventional scanning device, the matching of the selected scanning device with the self-service is not high.

Summary of the invention

In accordance with various embodiments disclosed herein, a method, apparatus, storage medium, and computer device for selecting a scanning device are provided.

A method for selecting a scanning device, the method comprising: separately acquiring job processing information of a preset plurality of types of scanning devices; and authenticating according to job processing information of each type of scanning device Calculating the processing efficiency of each type of scanning device, and calculating the selection information of the scanning device according to the processing efficiency, and the scanning suggestion information is used to recommend the user to select the corresponding model. Scan the device for work.

A device for selecting a scanning device, the device comprising: a job processing information acquiring module, configured to respectively acquire job processing information of a preset plurality of types of scanning devices; and a processing efficiency calculating module, configured to use each of the models according to the model The normal operation duration, the fault processing duration, and the workload in the job processing information of the scanning device, calculate the processing efficiency of each type of scanning device; and select a suggestion information generating module for generating a pair of scanning devices according to the processing efficiency The suggestion information is selected, and the scan suggestion information is used to recommend the user to select a corresponding type of scanning device to perform the job.

One or more non-volatile storage media storing computer readable instructions that, when executed by one or more processors, perform the steps of the methods described in the various embodiments of the present application.

A computer device comprising a memory and a processor, the memory storing computer readable instructions, the computer readable instructions being executed by the processor, causing the processor to perform the methods described in various embodiments of the present application A step of.

Details of one or more embodiments of the present application are set forth in the accompanying drawings and description below. Other features, objects, and advantages of the invention will be apparent from the description and appended claims.

DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the present application. Other drawings may also be obtained from those of ordinary skill in the art in light of the inventive work.

1 is an application environment diagram of a method for selecting a scanning device in an embodiment;

2 is a flow chart of a method for selecting a scanning device in an embodiment;

3 is a flow chart of generating selection suggestion information for a scanning device according to processing efficiency according to processing efficiency, so that the scanning device is selected according to the selected suggestion information;

4 is a flow chart showing a method of selecting a scanning device in another embodiment;

FIG. 5 is a structural block diagram of a device for selecting a scanning device in an embodiment; FIG.

6 is a structural block diagram of a device for selecting a scanning device in another embodiment;

Figure 7 is a diagram showing the internal structure of a computer device in one embodiment.

Detailed ways

In order to make the objects, technical solutions, and advantages of the present application more comprehensible, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting.

The method for selecting a scanning device provided by the embodiment of the present application can be applied to an application environment as shown in FIG. 1 . Referring to FIG. 1, the computer device 110 can be connected to the scanning device 120 through a wired or wireless network, initiate a job instruction to the scanning device 120, and can monitor or acquire job processing information of the scanning device during the job. It can be understood that the computer device 110 can be connected to the plurality of scanning devices 120, and can acquire the job processing information of the plurality of scanning devices 120, according to the normal working time, the fault processing time and the operation in the job processing information of each scanning device. The processing efficiency of each type of scanning device is calculated, and then the selection suggestion information for the scanning device is generated according to the processing efficiency, so that the scanning device is selected according to the selected suggestion information.

In one embodiment, as shown in FIG. 2, a method of selecting a scanning device is provided. This embodiment is mainly illustrated by taking the method applied to the computer device 110 shown in FIG. 1 as an example. Referring to FIG. 2, the method for selecting the drawing device specifically includes the following steps:

Step S202, respectively acquiring job processing information of a preset plurality of types of scanning devices.

In this embodiment, the preset multiple types of scanning devices may be pre-selected devices for actual performance testing of the scanning device. The computer device presets a plurality of models participating in the test, and records the model to which each of the scanning devices to be tested belongs. Scanning devices may include, but are not limited to, devices having scanning and device functions, such as printers, printers, and/or copiers. The computer device can monitor and acquire various job status data of the plurality of scanning devices during or after the job, and generate job processing information of the corresponding scanning device according to the monitored job status data. Or a plurality of preset scanning devices can record various job status data in the process of performing the work or after the work is completed in real time, generate job processing information, and actively send the job processing information to the computer device, or the computer device. Proactively get the job processing information. For example, the computer device can periodically obtain job processing information of each preset scanning device.

In one embodiment, the job processing information may include one or more types of job processing information including scanning, copying, and/or printing, the job processing information including a normal working time, a fault processing time, and a work amount, and may also include Scan device identification information of the device. The device identification information is used to uniquely identify the corresponding scanning device.

Step S204, calculating the processing efficiency of each type of scanning device according to the normal working time, the failure processing time, and the work amount in the job processing information of each model of the scanning device.

In this embodiment, the normal working time indicates the running time of the scanning device under normal operation. The duration of the fault indicates the length of time it takes for the scanning device to start from the time the fault occurs and the fault is processed. The amount of work represents the amount of work processed by the scanning device.

In one embodiment, the normal operating time, the fault handling time, and the amount of work may include normal operating hours, fault handling durations, and workloads for each type of job. For example, when the job type is a scan job, the normal job duration, the fault processing time, and the job amount may be the length of the normal scan job, the time taken to process the scan fault, and the number of scans when the scan fails. When the job type is a print job, the normal job duration, the fault processing time, and the job amount can be the length of time under normal printing, the length of time it takes to process the scan failure, and the number of prints when printing fails.

In one embodiment, the fault processing duration includes, but is not limited to, a combination of one or more of a jam processing duration, an insufficient memory processing duration, a double false positive processing duration, and an adjusted image processing duration.

The length of the jam processing indicates the length of time required for manual processing or automatic processing after the jam occurs in the corresponding scanning device; the length of the insufficient memory processing indicates that the corresponding scanning device has insufficient memory and the operation is abnormal, and the abnormal situation is handled. The length of time spent.

The computer device can calculate the processing efficiency of the scanning device of the corresponding model according to the job processing information of each type of scanning device acquired, according to the normal working time, the fault processing time and the workload, and the processing efficiency is used to reflect the scanning. The processing efficiency of the equipment under normal operation.

In one embodiment, the processing efficiency may also include processing efficiency at each type of job, and/or integrated processing efficiency calculated based on processing efficiency at various job types. Optionally, the corresponding job type can be calculated according to the normal working time, the fault processing time, and the workload under each job type. The processing efficiency can be, for example, scanning processing efficiency, printing processing efficiency, and copy processing efficiency. The overall processing efficiency can also be calculated based on the scanning processing efficiency, the printing processing efficiency, and the copy processing efficiency. For example, the scanning processing efficiency may be an average of 80 scans per minute, or 60 prints per minute, and the like.

Step S206: Generate selection suggestion information for the scanning device according to the processing efficiency, and the scan suggestion information is used to recommend the user to select a scanning device of the corresponding model to perform the job.

In this embodiment, the selection suggestion information may be any type of visual information, such as text information of a type such as txt, word, or pdf. The selection suggestion information may include device information of the selected scanning device, and may also include a preset processing efficiency of each type of scanning device. The device information includes the model of the corresponding scanning device. In one embodiment, the computer device can compare the processing efficiency of each scanning device and use one or more scanning devices with the highest processing efficiency as the recommended scanning device. Further, for each type of operation, the processing efficiency of each type of scanning device under the same job type can be compared, and one or more scanning devices with the highest processing efficiency are used as a recommended processing for processing corresponding types of jobs. device. For example, the scanning processing efficiency of each scanning device can be separately compared, and several scanning device operations with the highest scanning processing efficiency are recommended to process the scanning operation device. The printing processing efficiency of each scanning device is separately compared, and several scanning device jobs with the highest printing processing efficiency are recommended to process the device for the printing job. The computer device may preset a corresponding scan suggestion information template, write device information of the scan device to be recommended in the scan suggestion information template, and write a scan suggestion information template of the device information as the selection suggestion information.

In one embodiment, the computer device may send the generated selection suggestion information to the preset terminal in a mail or other readable form, so that the user of the terminal can consult the selection suggestion information to make a selection decision on the scanning device.

The method for selecting the scanning device described above obtains the job processing information of the preset plurality of types of scanning devices respectively; and calculates the normal working time, the fault processing time, and the workload according to the job processing information of each type of scanning device. The processing efficiency of each type of scanning device; the selection suggestion information for the scanning device is generated according to the processing efficiency, and the scanning suggestion information is used to recommend the user to select the scanning device of the corresponding model to perform the operation. The selection of the scanning device can be performed according to the actual processing efficiency of each scanning device, so that the scanning device selected according to the selection suggestion information has higher matching with its own service.

In an embodiment, before step S202, the method further includes: sending a job instruction to the preset plurality of types of scanning devices, where the job instruction includes a plurality of to-be-processed targets. Step S202 includes: acquiring job processing information generated after the processing of the predetermined plurality of models of the scanning device to be processed.

In this embodiment, the target to be processed may be a target to be scanned or a target to be printed, and the like. The target to be processed may include multiple, and the targets to be processed of different scanning devices may be the same or similar. For example, a job instruction that processes the same target to be processed may be sent to all of the plurality of types of scanning devices, or a job instruction that processes a different target to be processed may be sent to each scanning device according to the actual service, and each scan is performed. The type and number of pending targets of the device are equal or similar.

The computer device may generate job processing information for each type of scanning device upon detecting that each type of scanning device completes processing of the corresponding object to be processed. Alternatively, the job processing information is generated by the scanning device itself, and the computer device can acquire the job processing information. By indicating to each scanning device that the job targets of the jobs are the same or similar, and acquiring job processing information of each type of scanning device for the corresponding object to be processed, the calculated processing efficiency of each scanning device is more comparable. high.

In an embodiment, step S202 includes: acquiring preset job processing information generated by the plurality of models of scanning devices within a preset time period.

In this embodiment, the preset time period may be any specified time period. In one embodiment, it may be a predetermined period of time during which the scanning device is in continuous operation. The computer device can send job instructions to various types of scanning devices, so that each type of scanning device can be in a continuous working state for a certain period of time, and the preset time period can be a part of the certain time period. Or all the time periods, the acquired job processing information is job processing information in a state where the scanning device is in a continuous operation, so that the calculated processing efficiency more reflects the actual processing efficiency of the corresponding scanning device.

In an embodiment, the scanning device corresponding to each model includes a plurality of; the step S202 includes: acquiring job processing information of the scanning device corresponding to each model in the preset multiple models; and the step S204 includes: according to each scanning The processing time of the target processing time, the processing time of the fault, and the processing quantity of the target to be processed are calculated, and the processing efficiency of the corresponding scanning device is calculated; and the processing efficiency of the scanning device of the corresponding model is calculated according to the processing efficiency of the scanning device corresponding to each model.

In one embodiment, transmitting a job instruction to a plurality of preset types of scanning devices includes: selecting, for each model, a predetermined number of scanning devices to send a job instruction to the selected scanning device.

The computer device may select one or more scanning devices for each model for a preset number of scanning devices, and send a job instruction to the selected scanning device. Among them, the number of scanning devices of different models may be the same or different. For example, all or part of different types of scanning devices that are currently available can be selected to make full use of existing resources.

In this embodiment, each type of scanning device may include one or more. For example, the preset model includes model A, model B, and model C. The scanning device belonging to model A includes 5, the scanning device belonging to model B includes 3, and the scanning device belonging to model C includes one. The computer device can obtain job processing information of each scanning device under a plurality of preset models, and calculate processing efficiency of each scanning device according to the job processing information. Then, the model to which the scanning device corresponding to each calculated processing efficiency belongs is detected, so that the processing efficiency of the scanning device of the model can be calculated according to the processing efficiency of each scanning device under the same model. In one embodiment, the processing efficiency of each type of scanning device may be an average or intermediate value of processing efficiency of each scanning device corresponding to the model, and the like. This makes the calculated processing efficiency of each type of scanning device more accurate.

In one embodiment, for each type of scanning device, the integrated duration can be calculated according to the corresponding normal processing duration and the fault processing duration, and then the workload is divided by the integrated duration, and the processing efficiency of the scanning device of the model can be compared with The relationship between the amount of work and the business of the comprehensive duration is positively related. The integrated duration may be a weighted sum of the normal processing duration and the fault processing duration.

In one embodiment, the processing efficiency C of each type of scanning device can be calculated according to the following formula:

C=N/(k _a T _a +k _b T _b )

Where N, T _a , T _b respectively represent the workload of the corresponding type of scanning device, the normal working time and the fault processing time; k _a and k _b respectively represent the weights set for T _a and T _b , which may be For any suitable value, for example, it can be 1.

In one embodiment, as shown in FIG. 3, step S206 includes:

Step S302, detecting the sharpness of the job result for the job result of each part or part of the job processing information.

In this embodiment, the job processing information includes a job result for each job. For example, if the job is a scan job, the job result of each scan job may include the scan device for each pending target. Scan files generated by scanning. Similarly, the job results may also include files of job types such as print files, copy files, and the like. The computer device can detect the sharpness of each job result for all job results in the job processing information. Alternatively, the sharpness of the partial job result may be detected for the job result of the part of the job processing information. In one embodiment, the portion of the job results may be a pre-selected result of the job to be processed using the resolution of the results of the verification job. For example, the result of the operation carries visual information such as a corresponding identification code or picture text, and the visual information of the computer device is identified, and the clarity of the corresponding work result is determined according to the recognition result.

Step S304, calculating the job qualification rate of the scanning device of the corresponding model according to the definition.

In this embodiment, the computer device can determine whether the job result is qualified according to the clarity of each job result that is identified, and calculate according to the number of job results extracted by the scanning device for each model and the number of qualified products thereof. The job qualification rate of the corresponding model of the scanning device. For example, when the information expressed by the identification code on the job result can be identified, the resolution of the job result can be determined to exceed the preset resolution, and the result of the job is judged to be qualified. Otherwise, the resolution of the job result is determined to be less than the pre-preparation. Set the sharpness and judge that the result of the job is unqualified.

For example, for the model A scanning device, the generated job results include 1000 copies, 400 job results are selected, and the clarity of the 400 job results is identified, and the resolution of the 380 job results is detected. When the result of the operation is acceptable, the operation rate of the scanning device of the model A can be calculated to be 95%.

Step S306, calculating the processing efficiency of each type of scanning device according to the normal working time, the failure processing time, the work amount, and the job qualification rate in the job processing information of each type of scanning device.

In one embodiment, for each type of scanning device, the integrated duration can be calculated according to the corresponding normal processing duration and the fault processing duration, and then the workload is divided by the integrated duration, and the processing efficiency of the scanning device of the model can be compared with The amount of work is positively related to the product of the quotient of the comprehensive duration and the job qualification rate. The integrated duration may be a weighted sum of the normal processing duration and the fault processing duration.

In one embodiment, the processing efficiency C of each type of scanning device can be calculated according to the following formula:

C=N/(k _a T _a +k _b T _b )*P

Where P represents the job qualification rate of the scanning device of the corresponding model.

In this embodiment, the processing efficiency of each type of scanning device is calculated by further introducing the job qualification rate, so that the calculated processing efficiency of each type of scanning device is selected to match the scanning device with its own service. high.

In one embodiment, the fault processing duration includes a combination of one or more of a jam processing duration, an insufficient memory processing duration, a double false positive processing duration, and an adjusted image processing duration.

In one embodiment, before calculating the processing efficiency of each type of scanning device according to the normal working duration, the fault processing duration, and the workload in the job processing information of each model of the scanning device, the method further includes: acquiring each fault The weight corresponding to the processing duration and the weight corresponding to the normal working duration; calculating the processing efficiency of each type of scanning device according to the normal working duration, the fault processing duration, and the workload in the job processing information of each model of the scanning device, Including: calculating the weight of each fault processing time and the weight corresponding to the normal working time, and the normal working time, the fault processing time, and the workload in the job processing information of each model of the scanning device, The processing efficiency of the scanning device.

In this embodiment, the computer device also sets corresponding weights for each fault processing duration and normal working duration, wherein the weights set by different durations are not necessarily the same.

In one embodiment, the fault processing duration includes a jam processing duration, an insufficient memory processing duration, a double false positive processing duration, and an adjusted image processing duration. The processing efficiency C of each type of scanning device can be calculated according to the following formula:

C=N/(k _a T _a +k ₁ T ₁ +k ₂ T ₂ +k ₃ T ₃ +k ₄ T ₄ )

Wherein, T ₁ , T ₂ , T ₃ , T ₄ , and k ₁ , k ₂ , k ₃ , and k ₄ respectively indicate the duration of the jam processing, the length of the memory shortage processing, the length of the double misjudgment processing, the adjustment image processing duration, and The weight of the four durations. By further considering the above four kinds of durations, the calculated processing efficiency of each type of scanning device is closer to the actual application scenario.

In an embodiment, as shown in FIG. 4, another method for selecting a scanning device is provided, the method comprising:

Step S402, sending a job instruction to a preset plurality of types of scanning devices, where the job instruction includes a plurality of to-be-processed targets.

In this embodiment, the time for the computer device to send the job instruction to each type of scanning device may be Same or different. The number of targets to be processed includes a plurality, and the types of targets to be processed may also include multiple types. The targets to be processed of different scanning devices may be the same or similar. Further, the above-mentioned work instruction further includes an order of processing the objects to be processed, so that each type of scanning device performs operations in the order specified in the job instruction.

For example, the number and type of pending targets processed by each model of scanner can be the same. For example, in the case of a job type scan, in the bank post-management scenario, the target to be processed of each model of the scanning device can be composed of the following proportions of scanned materials: 50% of the tickets, 40% of the A4 paper, and 10% long pages. The computer device can send scan job instructions for processing the above-described scanned materials to all of the various types of scanning devices. The scanning order of the above scanning materials is set, so that each type of scanning device performs scanning operations according to the scanning sequence, so that the processing efficiency calculated subsequently is more in line with actual requirements.

Step S404: Acquire the job processing information generated after the processing of the preset processing target of the plurality of models of the scanning device.

In this embodiment, the computer device can obtain the job processing information generated after the processing of each type of scanning device completes the processing target. Job processing information generated by the scanning device of each model for a preset period of time can also be obtained. The duration of the preset time period set for each type of scanning device may be the same. Alternatively, it may be job processing information within a fixed period of time after the job instruction is issued. For example, the generated job processing information can be generated within 6 hours or 8 hours after the job instruction is issued.

The job processing information includes a normal operation time length T _a , a failure processing time length T _{b ,} and a work amount N. The amount of work can be the capacity of the scanning device. The failure processing time T _b may include a paper jam processing time length T ₁ , an insufficient memory processing time length T ₂ , a double sheet misjudgment processing time length T _{3 ,} and an adjusted image processing time length T ₄ .

Step S406, obtaining a weight corresponding to each fault processing duration in the job processing information and a weight corresponding to the normal working duration.

The weight corresponding to the normal operation duration includes a jam processing time T ₁ , an insufficient memory processing time T ₂ , a double false positive processing time length T _{3 ,} and an adjusted image processing time length T ₄ respectively corresponding to weights k ₁ , k ₂ , k ₃ and k ₄ .

Step S408, detecting the sharpness of the job result for the job result of each part or part of the job processing information.

In one embodiment, the computer device may randomly select a certain percentage of the job results for the job results of one or more types of scanned materials to detect the sharpness of each selected job result. Optionally, the clarity of the corresponding job result may be calculated according to the recognition degree of the visible information such as the identification code or the picture text in the work result. For example, the identification code can be identified, and when the information corresponding to the identification code is recognized, the result of the job is given a higher definition, so that the result of the job can be determined to be qualified according to the definition.

Step S410, calculating the job qualification rate of the scanning device of the corresponding model according to the definition.

In one embodiment, the corresponding sharpness threshold is preset in the computer device, and when the calculated resolution of the work result exceeds the sharpness threshold, the result of the job is determined to be acceptable; otherwise, the determination is unsatisfactory. The computer device can calculate the job qualification rate of the corresponding scanning device according to the number of passes and the number of failures in the work result determined for each type of scanning device. The job pass rate P may be the ratio of the number of passes of the corresponding model of the scanning device to the number of selected job results.

Step S412, according to the weight corresponding to each fault processing duration and the weight corresponding to the normal working duration, and the normal working duration, the fault processing duration, the workload, and the job qualification rate in the job processing information of each model of the scanning device, Calculate the processing efficiency of each type of scanning device.

In this embodiment, the processing efficiency of the scanning device may reflect the capacity of the corresponding scanning device, so that the advantages and disadvantages between the scanning devices of each model can be determined according to the processing efficiency.

In one embodiment, each type of scanning device can be calculated according to C=N/(k _a T _a +k ₁ T ₁ +k ₂ T ₂ +k ₃ T ₃ +k ₄ T ₄ )*P Processing efficiency.

Step S414: Generate selection suggestion information for the scanning device according to the processing efficiency, and the scan suggestion information is used to recommend the user to select a scanning device of the corresponding model to perform the job.

In one embodiment, the selection suggestion information includes all or part of the job processing information recorded or calculated for each type of scanning device, and processing efficiency. The selection suggestions can also include pros and cons analysis and recommendations for each type of scanning device. The processing efficiency of each type of scanning device can be compared, and a comprehensive score of each type of scanning device can be generated. The computer device may send the generated selection suggestion information to the preset terminal in an email or other readable form, so that the user of the terminal can consult the selection suggestion information to make a selection decision on the scanning device.

For example, for a certain type of scanning device, the shortcomings in the generated selection suggestion information Including "1, the order of the same size paper will have an effect on the speed, mainly A4 after the long page, the speed will slow down significantly, and it will return to normal after about 5 sheets. It is not ideal for the scenes that the rear supervisor has requirements for the order; 2, there is still a paper jam on the small ticket, but the probability is small; 3, the long page and the black edge function are not compatible, so the long page image does not go to the black edge; 4, the configuration is too high-end, such as three sets of ultrasound, for The post-supervised work scene does not need so much; "; Advantages include: 1. Support all the test materials for one-time mixed sweep, suitable for the work scenes with inconsistent material size and sequence requirements, convenient and fast; 2. Good paper jam The paper jam rate is significantly lower than the other two products of Panasonic; 3, the handling of abnormal conditions is humanized, after the adjustment of abnormal phenomena such as paper jam, the scanning continues, there is no need to adjust the driving scan again, which is convenient and quick; 4. The driving function covers a wide range. Helps improve the quality of the image;".

The method for selecting the scanning device described above obtains the target to be processed corresponding to the actual application scenario, and obtains the processing information of the processing of the target to be processed by the preset plurality of types of scanning devices, and then calculates the processing information of each model. The job qualification rate of the scanning device, the weight corresponding to each failure processing time and the weight corresponding to the normal operation time, and the normal operation time, the failure processing time, the workload, and the operation time in the job processing information of each model of the scanning device The job qualification rate is calculated, and the processing efficiency of each type of scanning device is calculated, and then the selection information of the scanning device is generated according to the processing efficiency, so that the scanning device selected according to the selection suggestion information has higher matching with the self service.

In one embodiment, as shown in FIG. 5, a selection device for a scanning device is provided, the device comprising:

The job processing information obtaining module 502 is configured to acquire job processing information of a preset plurality of types of scanning devices.

The processing efficiency calculation module 504 is configured to calculate the processing efficiency of each type of scanning device according to the normal working duration, the fault processing duration, and the workload in the job processing information of each model of the scanning device.

The selection suggestion information generating module 506 is configured to generate selection suggestion information for the scanning device according to the processing efficiency, so that the scanning device is selected according to the selected suggestion information.

In one embodiment, as shown in FIG. 6, another apparatus for selecting a scanning device is provided, the device further comprising:

The job instruction sending module 508 is configured to send a job instruction to a preset plurality of types of scanning devices, where the job instruction includes a plurality of to-be-processed targets.

The job processing information obtaining module 502 is further configured to acquire job processing information generated after the processing of the predetermined plurality of models of the scanning device to be processed.

In one embodiment, the job processing information obtaining module 502 is further configured to acquire job processing information generated by a preset plurality of models of scanning devices within a preset time period.

In one embodiment, the scanning device corresponding to each model includes at least one.

The job processing information obtaining module 502 is further configured to acquire job processing information of the scanning device corresponding to each model in a preset plurality of models;

The processing efficiency calculation module 504 is further configured to calculate processing efficiency of the corresponding scanning device according to the target processing duration of each scanning device, the processing duration of the fault, and the number of processing of the target to be processed; and calculating according to processing efficiency of the scanning device corresponding to each model The processing efficiency of the corresponding type of scanning device.

The processing efficiency calculation module 504 is further configured to detect the resolution of the job result for the job result of each part or part of the job processing information; calculate the job qualification rate of the scanning device of the corresponding model according to the definition; according to each model The normal operation time, the failure processing time, the work amount, and the job qualification rate in the job processing information of the scanning device are calculated, and the processing efficiency of each type of scanning device is calculated.

In one embodiment, the fault processing duration includes a combination of one or more of a jam processing duration, an insufficient memory processing duration, a double false positive processing duration, and an adjusted image processing duration.

In an embodiment, the processing efficiency calculation module 504 is further configured to obtain a weight corresponding to each fault processing duration and a weight corresponding to the normal working duration; and the weight corresponding to each fault processing duration and the normal working duration The value, and the normal operation time, failure processing time, and amount of work in the job processing information of each type of scanning device, calculate the processing efficiency of each type of scanning device.

Each of the above-described devices may be implemented in whole or in part by software, hardware, and combinations thereof. Each of the above modules may be embedded in or independent of the processor in the computer device, or may be stored in a memory in the computer device in a software form, so that the processor invokes the operations corresponding to the above modules. The processor can be a central processing unit (CPU), a microprocessor, a microcontroller, or the like.

In one embodiment, the selection device of the scanning device provided by the present application may be implemented in the form of a computer program that can be run on a computer device as shown in FIG. 7, non-volatile storage of the computer device. The medium can store various program modules that make up the selection device of the scanning device. For example, the job processing information acquisition module 502, the processing efficiency calculation module 504, and the processing efficiency calculation module 504 may be included as shown in FIG. The suggestion information generating module 506 and the job command transmitting module 508 in FIG. 6 are selected. Each of the program modules includes computer readable instructions for causing the computer device to perform the steps in the method of selecting a scanning device of various embodiments of the present application described in the specification, for example, the computer device may pass The job processing information acquisition module 502 in the selection device of the scanning device shown in FIG. 5 acquires the job processing information of the preset plurality of types of scanning devices; and the processing efficiency calculation module 504 processes the job processing information according to each model of the scanning device. The normal operation time, the fault processing time, and the workload are calculated, and the processing efficiency of each type of scanning device is calculated; and the selection suggestion information generating module 506 generates the selection suggestion information for the scanning device according to the processing efficiency, so that the recommended information is selected according to the selected information. Scan the device for selection.

In one embodiment, there is provided one or more non-transitory computer readable storage media comprising computer readable instructions, when executed by one or more processors, causing the processor to perform the The steps of the method for selecting a scanning device provided in each embodiment.

In one embodiment, when the computer readable instructions are executed by one or more processors, causing the processor to perform the steps of: acquiring job processing information for a predetermined plurality of models of scanning devices; The normal operation duration, the fault processing duration, and the workload in the job processing information of the scanning device, calculate the processing efficiency of each type of scanning device, and generate selection suggestion information for the scanning device according to the processing efficiency, so that the scanning is performed according to the selected suggestion information The device is selected.

In one embodiment, when the computer readable instructions are executed by one or more processors, causing the processor to perform the presetting to the preset before performing the job processing information of the preset plurality of models of the scanning device The plurality of types of scanning devices send a job instruction, and the job instruction includes a plurality of to-be-processed targets; and the executed job processing information of the preset plurality of types of scanning devices is performed, including: acquiring preset multiple types of scanning The job processing information generated after the device processes the processing target.

In one embodiment, when the computer readable instructions are executed by the one or more processors, the processor further performs job processing information of acquiring a preset plurality of types of scanning devices, including: acquiring presets. A variety of models of scanning equipment, job processing information generated within a preset time period.

In one embodiment, the scanning device corresponding to each model includes at least one. When the computer readable instructions are executed by the one or more processors, the processor further executes the job processing information of the preset plurality of types of scanning devices, including: acquiring a preset plurality of models, each Model corresponding The processing information of the scanning device; the processing efficiency of the scanning device of each model is calculated according to the target processing duration, the processing time of the failure processing, and the processing amount of the target to be processed, including: processing duration and failure according to the target of each scanning device The processing duration and the number of processing targets to be processed are calculated, and the processing efficiency of the corresponding scanning device is calculated; and the processing efficiency of the corresponding scanning device is calculated according to the processing efficiency of the scanning device corresponding to each model.

In one embodiment, when the computer readable instructions are executed by one or more processors, the processor also performs normal job duration, fault handling duration, and duration of job processing information for each type of scanning device The amount of work, calculating the processing efficiency of each type of scanning device, including the following steps: detecting the sharpness of the working result for each job part or part of the job processing information; calculating the corresponding type of scanning device according to the definition The job qualification rate; and the processing efficiency of each type of scanning device is calculated according to the normal operation time, the failure processing time, the work amount, and the job qualification rate in the job processing information of each type of scanning device.

In one embodiment, the fault processing duration includes a combination of one or more of a jam processing duration, an insufficient memory processing duration, a double false positive processing duration, and an adjusted image processing duration.

In one embodiment, when the computer readable instructions are executed by one or more processors, the processor is further caused to perform normal job durations, fault handling durations, and in the job processing information for each type of scanning device The amount of work, before calculating the processing efficiency of each type of scanning device, includes performing a weight corresponding to each fault processing time and a weight corresponding to the normal working time; and performing job processing according to each type of scanning device The normal operation time, fault processing time and workload in the information, calculate the processing efficiency of each type of scanning equipment, including: the weight corresponding to each fault processing time and the weight corresponding to the normal working time, and each model The normal operation time, the failure processing time, and the work amount in the job processing information of the scanning device are calculated, and the processing efficiency of each type of scanning device is calculated.

In one embodiment, a computer apparatus is provided, comprising a memory and a processor, the memory storing computer readable instructions, the instructions being executed by the processor, causing the processor to perform one of the embodiments provided in the above embodiments The steps of the method of selecting the scanning device.

In one embodiment, the computer device can be a terminal or server including, but not limited to, a mobile phone, a tablet, a portable notebook, or a smart wearable device. As shown in Figure 7, for one A schematic diagram of the internal structure of a computer device in an embodiment. The computer device includes a processor, memory, and network interface coupled by a system bus. The processor of the computer device is used to provide computing and control capabilities to support the operation of the entire computer device. The memory is used to store data, instruction code, etc., and the memory stores at least one computer readable instruction, which can be executed by the processor to implement the selection method of the scanning device suitable for the computer device provided in the embodiment of the present application. . The memory may include a non-volatile storage medium such as a magnetic disk, an optical disk, or a read-only memory (ROM). For example, in one embodiment, the memory includes a non-volatile storage medium and an internal memory. A non-volatile storage medium of a computer device stores an operating system, a database, and computer readable instructions. The database stores data related to the selection method of the scanning device provided by the above various embodiments, such as job processing information and the like. The computer readable instructions are executable by a processor for implementing one of the job processing information provided by the various embodiments above. The internal memory in the computer device provides a cached operating environment for operating systems, databases, and computer readable instructions in a non-volatile storage medium. The network interface may be an Ethernet card or a wireless network card, etc., for communicating with an external scanning device, terminal, server, or the like.

It will be understood by those skilled in the art that the structure shown in FIG. 7 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the server to which the solution of the present application is applied. The specific server may include a ratio. More or fewer components are shown in the figures, or some components are combined, or have different component arrangements.

In one embodiment, when the instruction is executed by the processor, the processor is caused to perform the steps of: acquiring job processing information of the preset plurality of models of the scanning device; and normalizing the job processing information according to each model of the scanning device The working time, the fault processing time and the workload, calculate the processing efficiency of each type of scanning device; and generate selection suggestions for the scanning device according to the processing efficiency, so that the scanning device is selected according to the selected suggestion information.

In one embodiment, when the instruction is executed by the processor, causing the processor to perform sending the job to the preset plurality of types of scanning devices before performing the acquiring the job processing information of the preset plurality of models of the scanning devices. The instruction, the job instruction includes a plurality of to-be-processed targets; and the executed job processing information of the plurality of types of scanning devices that are preset, including: acquiring a preset plurality of types of scanning devices to be processed by the processing target, generating Job processing information.

In one embodiment, when the instruction is executed by the processor, the processor is configured to acquire job processing information of the preset plurality of types of scanning devices, including: acquiring a preset plurality of types of scanning devices, in a preset Job processing information generated during the time period.

In one embodiment, the scanning device corresponding to each model includes at least one. When the instruction is executed by the processor, the processor performs the job processing information of acquiring the preset plurality of types of scanning devices, including: acquiring the job processing information of the scanning device corresponding to each model in the preset multiple models. Calculating the processing efficiency of each type of scanning device according to the target processing duration, the processing time of the fault, and the number of processing targets to be processed, including: according to the target processing time of each scanning device, the processing time of the fault, and the target to be processed The processing quantity is calculated, and the processing efficiency of the corresponding scanning device is calculated; and the processing efficiency of the scanning device of the corresponding model is calculated according to the processing efficiency of the scanning device corresponding to each model.

In one embodiment, when the instruction is executed by the processor, the processor performs a scan operation of each model according to the normal operation duration, the fault processing duration, and the workload in the job processing information of each model of the scanning device. The processing efficiency includes the following steps: detecting the resolution of the job result for each job part or part of the job processing information; calculating the job qualification rate of the corresponding model scanning device according to the definition; The normal operation time, the failure processing time, the work amount, and the job qualification rate in the job processing information of the scanning device are calculated, and the processing efficiency of each type of scanning device is calculated.

In one embodiment, the fault processing duration includes a combination of one or more of a jam processing duration, an insufficient memory processing duration, a double false positive processing duration, and an adjusted image processing duration.

In one embodiment, when the instructions are executed by the processor, causing the processor to perform normal job durations, fault processing durations, and workloads in the job processing information for each type of scanning device, calculate each type of scanning device Before the processing efficiency, the method further includes: performing a weight corresponding to each fault processing duration and a weight corresponding to the normal working duration; performing a normal working duration and a fault processing duration in the job processing information of each type of scanning device performed And the amount of work, calculate the processing efficiency of each type of scanning device, including: the weight corresponding to each fault processing time and the weight corresponding to the normal working time, and the normal processing information of each type of scanning device The processing time of each type of scanning device is calculated by the length of the operation, the length of the failure processing, and the amount of work.

Those of ordinary skill in the art will appreciate that all or part of the process of implementing the above-described embodiments may be accomplished by computer readable instructions for instructing the associated hardware. The computer readable instructions can be stored on a memory, such as in a non-transitory computer readable storage medium. When the instructions are executed, a flow comprising an embodiment of the methods as described above can be implemented.

Any reference to a memory, storage, database, or other medium used herein may include non-volatile memory. Suitable non-volatile memories can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM), which acts as an external cache.

The technical features of the above embodiments may be arbitrarily combined. For the sake of brevity of description, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, It should be considered as the scope of this manual.

The above embodiments are merely illustrative of several embodiments of the present application, and the description thereof is more specific and detailed, but is not to be construed as limiting the scope of the invention. It should be noted that a number of variations and modifications may be made by those skilled in the art without departing from the spirit and scope of the present application. Therefore, the scope of the invention should be determined by the appended claims.

Claims (20)

1. A method for selecting a scanning device, the method comprising:

   Obtaining job processing information of a preset plurality of types of scanning devices respectively;

   Calculating the processing efficiency of each type of scanning device according to the normal working time, the processing time of the failure, and the amount of work in the job processing information of each type of scanning device; and

   The selection suggestion information for the scanning device is generated according to the processing efficiency, and the scan suggestion information is used to recommend the user to select a scanning device of the corresponding model to perform the job.
2. The method according to claim 1, further comprising: before the obtaining the job processing information of the preset plurality of types of scanning devices, the method further comprising:

   Sending a job instruction to a preset plurality of types of scanning devices, where the job instruction includes a plurality of to-be-processed targets;

   The obtaining job processing information of the preset multiple types of scanning devices includes:

   Obtain the job processing information generated by the preset processing of the plurality of models of the scanning device to be processed.
3. The method according to claim 1, wherein the obtaining job processing information of the preset plurality of types of scanning devices comprises:

   Obtain job processing information generated by a preset plurality of types of scanning devices within a preset time period.
4. The method according to claim 1, wherein each type of scanning device corresponding to each model comprises at least one;

   Get job processing information for a preset number of scanning devices, including:

   Obtain job processing information of the scanning device corresponding to each model under various preset models;

   The calculating the processing efficiency of each type of scanning device according to the target processing duration, the fault processing duration, and the number of processing targets to be processed, including:

   Calculating the processing efficiency of the corresponding scanning device according to the target processing duration of each scanning device, the length of the fault processing, and the number of processing targets to be processed;

   According to the processing efficiency of the scanning device corresponding to each model, the processing efficiency of the scanning device of the corresponding model is calculated.
5. The method according to claim 1, wherein said calculating the processing of each type of scanning device based on a normal operation time, a failure processing time, and a work amount in job processing information of said scanning device of each model Efficiency, including:

   Determining the sharpness of the work result for each job or part of the job in the job processing information;

   Calculating the job qualification rate of the corresponding type of scanning device according to the definition; and

   The processing efficiency of each type of scanning device is calculated according to the normal operation time, the failure processing time, the work amount, and the job qualification rate in the job processing information of each type of scanning device.
6. The method according to claim 1, wherein the fault processing duration comprises a combination of one or more of a jam processing duration, an insufficient memory processing duration, a double false positive processing duration, and an adjusted image processing duration.
7. The method according to claim 6, wherein said scanning operation of each model is calculated in said normal operation duration, failure processing time, and work amount in said job processing information of said each type of scanning device Before processing efficiency, it also includes:

   Obtain the weight corresponding to each fault processing duration and the weight corresponding to the normal working duration;

   Calculating the processing efficiency of each type of scanning device according to the normal working duration, the fault processing duration, and the workload in the job processing information of each type of scanning device, including:

   Calculating each model according to the weight corresponding to each fault processing duration and the weight corresponding to the normal working duration, and the normal working duration, the fault processing duration, and the workload in the job processing information of each type of scanning device The processing efficiency of the scanning device.
8. The method according to claim 7, wherein the processing efficiency C of each type of scanning device is calculated according to the following formula:

   C=N/(k _a T _a +k _b T _b )*P

   Where N, T _a , T _b respectively represent the workload of the corresponding model of the scanning device, the normal operation duration and the fault processing duration, k _a and k _b respectively represent the weights set for T _a and T _b , and P denotes the corresponding The job qualification rate of the model's scanning equipment.
9. A device for selecting a scanning device, characterized in that the device comprises:

   a job processing information acquiring module, configured to separately acquire job processing information of a preset plurality of types of scanning devices;

   a processing efficiency calculation module, configured to calculate a processing efficiency of each type of scanning device according to a normal working time, a fault processing time, and a working amount in the job processing information of each type of scanning device; and

   The recommendation information generating module is configured to generate selection suggestion information for the scanning device according to the processing efficiency, where the scan suggestion information is used to recommend the user to select a scanning device of the corresponding model to perform the job.
10. The device according to claim 9, wherein the device further comprises:

    a job instruction sending module, configured to send a job instruction to a preset plurality of types of scanning devices, where the job instruction includes a plurality of to-be-processed targets;

    The job processing information acquisition module is further configured to acquire job processing information generated after the processing of the predetermined plurality of models of the scanning device to be processed.
11. The device of claim 9 wherein:

    The job processing information obtaining module is further configured to acquire job processing information generated by a preset plurality of types of scanning devices within a preset time period.
12. The apparatus according to claim 9, wherein each type of scanning device corresponding to each model comprises at least one;

    The job processing information obtaining module is further configured to acquire job processing information of the scanning device corresponding to each model under a preset plurality of models;

    The processing efficiency calculation module is further configured to calculate processing efficiency of the corresponding scanning device according to the target processing duration of each scanning device, the processing time of the fault processing, and the processing quantity of the target to be processed; and calculate the processing efficiency of the scanning device according to each model. The processing efficiency of the corresponding model of the scanning device.
13. One or more computer readable non-volatile storage media storing computer readable instructions, when executed by one or more processors, cause the one or more processors to perform the steps of:

    Obtaining job processing information of a preset plurality of types of scanning devices respectively;

    Calculating the processing efficiency of each type of scanning device according to the normal working time, the processing time of the failure, and the amount of work in the job processing information of each type of scanning device; and

    The selection suggestion information for the scanning device is generated according to the processing efficiency, and the scan suggestion information is used to recommend the user to select a scanning device of the corresponding model to perform the job.
14. The storage medium of claim 10, wherein when the computer readable instructions are executed by one or more processors, the one or more processors further cause the following steps:

    Sending a job instruction to a plurality of preset scanning devices, the job instruction including a plurality of targets to be processed; and

    Obtain the job processing information generated by the preset processing of the plurality of models of the scanning device to be processed.
15. The storage medium of claim 10, wherein when the computer readable instructions are executed by one or more processors, the one or more processors further cause the following steps:

    Obtain job processing information generated by a preset plurality of types of scanning devices within a preset time period.
16. A storage medium according to claim 10, wherein each type of scanning device corresponding to each model comprises at least one; said computer readable instructions being executed by one or more processors, further causing said one or more processes Perform the following steps:

    Obtain job processing information of the scanning device corresponding to each model under various preset models;

    Calculating the processing efficiency of the corresponding scanning device according to the target processing duration of each scanning device, the length of the fault processing, and the number of processing targets to be processed; and

    According to the processing efficiency of the scanning device corresponding to each model, the processing efficiency of the scanning device of the corresponding model is calculated.
17. A computer device comprising a memory and a processor, the memory storing computer readable instructions, the instructions being executed by the processor, causing the processor to perform the following steps:

    Obtaining job processing information of a preset plurality of types of scanning devices respectively;

    Calculating the processing efficiency of each type of scanning device according to the normal working time, the processing time of the failure, and the amount of work in the job processing information of each type of scanning device; and

    Generating suggestion information for the scanning device according to the processing efficiency, the scan suggestion information It is recommended to select the scanning device of the corresponding model for the user to work.
18. The computer apparatus according to claim 17, wherein said instructions, when executed by said processor, further cause said processor to perform the following steps:

    Sending a job instruction to a plurality of preset scanning devices, the job instruction including a plurality of targets to be processed; and

    Obtain the job processing information generated by the preset processing of the plurality of models of the scanning device to be processed.
19. The computer apparatus according to claim 17, wherein said instructions, when executed by said processor, further cause said processor to perform the following steps:

    Obtain job processing information generated by a preset plurality of types of scanning devices within a preset time period.
20. The computer apparatus according to claim 17, wherein each of the model-specific scanning devices includes at least one, and when the instructions are executed by the processor, the processor further causes the processor to perform the following steps:

    Obtain job processing information of the scanning device corresponding to each model under various preset models;

    Calculating the processing efficiency of the corresponding scanning device according to the target processing duration of each scanning device, the length of the fault processing, and the number of processing targets to be processed; and

    According to the processing efficiency of the scanning device corresponding to each model, the processing efficiency of the scanning device of the corresponding model is calculated.

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