Smart phone function module customization method and system based on multi-industry application scene

Abstract

The invention relates to the field of mobile phone module customization, in particular to a smart phone function module customization method and system based on multi-industry application scenarios, and the system comprises a port laying module, an information collection and distribution module, a function simulation analysis module, an operation judgment module and an adjustment scheme generation module. According to the method, data acquisition ports are configured on a traditional service special mobile phone, mobile phone operation data are classified and acquired in a graded mode, mathematical analysis, threshold judgment and real-time feedback are conducted according to data performance in the actual use process, and the load intensity and the use frequency of different function modules in the current service special mobile phone are obtained; therefore, the required viscosity and the use strength of different modules in the mobile phone are identified and judged, and effective evaluation guidance is provided for hardware and software customization of the mobile phone.

Description

Technical Field

[0001] The present invention relates to the field of mobile phone module customization, and specifically to a method and system for customizing smart phone function modules based on multi-industry application scenarios. Background Art

[0002] With the development of the mobile Internet and the reduction of global manufacturing costs, smart phones have become the mainstream in the mobile phone market. A smart phone is a mobile phone installed with a corresponding open operating system. The open operating system of smart phones enables third-party developers and smart phone users to make a large number of improvements to the native operating system to integrate their own characteristics and form a special user experience. Most of the modified operating systems can obtain more advanced features, a more user-friendly interface, and better performance. With the popularization of smart phones, more and more work positions are equipped with work-specific mobile phones to improve work flexibility and work efficiency. However, there are many smart phone manufacturers and their hardware structures are different. At the same time, work-specific mobile phones are different from the mobile phones used in users' daily lives, and there are different requirements for hardware and software. Therefore, if configured through traditional mobile phone products, there will be a phenomenon of partial configuration waste, resulting in an increase in the cost of distributing business mobile phones to staff.

[0003] Therefore, how to scientifically and reasonably configure work-specific mobile phones for different business contents has become the key to reducing costs in the process of distributing business-specific mobile phones. However, customizing smart phones requires a certain technical threshold, and it is difficult for general mobile phone users to achieve accurate and effective configuration selection by customizing smart phone hardware and software. In view of the above technical problems, this application proposes a solution. Summary of the Invention

[0004] The present invention configures data acquisition ports on traditional business-specific mobile phones, collects the operation data of mobile phones, and gives feedback according to the data performance in the actual use process to obtain the load intensity and usage frequency of different function modules in the current business-specific mobile phone, so as to scientifically and effectively identify and judge the demand viscosity and usage intensity of different modules in the mobile phone, provide effective evaluation guidance for the customization of business-specific mobile phones, and solve the problem that the configuration cost of business-specific mobile phones is too high due to the waste of function modules caused by selecting traditional finished mobile phones in the configuration process, and proposes a method and system for customizing smart phone function modules based on multi-industry application scenarios.

[0005] The object of the present invention can be achieved by the following technical solutions: A method for customizing smart phone function modules based on multi-industry application scenarios, including the following steps: Step 1: Lay data acquisition ports for existing industry-specific mobile phones and collect the operation data of mobile phones of different industry personnel; Step 2: Refine and statistically analyze the collected mobile phone operation data to obtain the operation information of different functional modules in each mobile phone; Step 3: Conduct simulation analysis on the operation information of different functional modules. Analyze according to the load ratio in the operation information to obtain the operation intensity of different functional modules. Conduct comprehensive analysis on the startup times and startup times in the operation information to obtain the operation dependence of different functional modules; Step 4: Judge the operation intensity according to the preset standard, and generate an intensity adjustment signal according to the judgment result; Step 5: Judge the operation dependence according to the preset standard, and generate a dependence adjustment signal according to the operation dependence judgment result; Step 6: Statistically analyze according to the intensity adjustment signal, dependence adjustment signal and substitution adjustment signal, and generate a module customization result according to the statistical result.

[0006] As a preferred embodiment of the present invention, the operation data collected in Step 1 includes functional module ID, module operation time, module load intensity, and module startup times; When refining and statistically analyzing the operation data in Step 2, create corresponding numbers of sets according to the total number of functional module IDs, and create three subsets in each set of functional module IDs, namely a time subset, an intensity subset, and a startup subset. Record the corresponding module operation time, module load intensity, and module startup times as elements in each subset.

[0007] The present invention also proposes a smartphone functional module customization system based on multi-industry application scenarios, including a port laying module, an information collection and diversion module, a function simulation analysis module, an operation judgment module, and an adjustment plan generation module; The port laying module is used to lay data collection ports for mobile phones. When laying the collection ports, create a unique code for each mobile phone; The information collection and diversion module refines and classifies the received operation data, assigns IDs according to the functional modules of the mobile phone, and creates multiple sets according to the number of functional modules of the mobile phone. Create subsets in each set and record the corresponding operation information to achieve diversion statistics; The function simulation analysis module is used to conduct simulation analysis on different subsets in the set, and generate the operation intensity and operation dependence corresponding to the functional modules according to different subsets; The operation judgment module judges and analyzes the operation intensity and operation dependence of each functional module to obtain whether the operation intensity of the functional module exceeds the standard and whether the operation dependence meets the standard; The adjustment scheme generation module generates a module customization result for each module according to the judgment result of the operation judgment module, including a module enhancement signal or a module reduction signal.

[0008] As a preferred embodiment of the present invention, when the function simulation analysis module performs simulation analysis on the operation information, it performs separate analysis on each set as an individual; When the function simulation analysis module analyzes the individual set, it compares the elements in the intensity subset with the set thresholds. The set thresholds include a low threshold and a high threshold. If the element in the intensity subset is greater than the high threshold, the set high load intensity is set. If the element in the intensity subset is between the low threshold and the high threshold, it is set as the normal load intensity. If the element in the intensity subset is less than the low threshold, it is set as the low load intensity; The function simulation analysis module performs statistics according to the judgment result of the load, and obtains the proportion in each load intensity, which is recorded as the operation intensity.

[0009] As a preferred embodiment of the present invention, the function simulation analysis module calculates the arithmetic mean of the times in the elements of the time subset, and records the result of the arithmetic mean as the start time mean value; The function simulation analysis module performs a single threshold judgment on the elements in the start subset, records the elements greater than the threshold as valid elements, and records the elements less than or equal to the threshold as invalid elements. The function simulation analysis module counts the number of valid elements and calculates the proportion of the valid elements in the total number of elements in the start subset, which is recorded as the start proportion; The function simulation analysis module records the judgment results of the time subset and the start subset as the operation dependence.

[0010] As a preferred embodiment of the present invention, the operation judgment module compares the high load intensity, normal load intensity, and low load intensity in the operation intensity with the set thresholds respectively. If the high load intensity is greater than the set proportion threshold, a load over - standard signal is generated. If the proportion of the low load intensity is greater than the set intensity threshold, a load too low signal is generated. If the proportion of the normal load intensity is greater than the set intensity threshold, a load normal signal is generated; After generating the load over - standard signal, the operation judgment module feeds back a module enhancement signal, and after generating the load too low signal, it feeds back a module reduction signal.

[0011] As a preferred embodiment of the present invention, the operation judgment module multiplies the startup ratio by the average startup time, and compares the calculation result with a set threshold range. If the calculation result is less than the minimum value of the set ratio threshold range, the feedback module cuts the signal. If the calculation result is within the set ratio threshold range, it replaces the adjustment signal. If the calculation result is greater than the maximum value of the set ratio threshold, no response is made.

[0012] As a preferred embodiment of the present invention, the adjustment scheme generation module statistically analyzes the module cut signal, replacement adjustment signal or module enhancement signal fed back by the operation judgment module, and corresponds the module cut signal and module enhancement signal to the ID of the functional module to generate a module customization result.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. In the present invention, a data collection port is configured on a traditional business-specific mobile phone, and data during the use of the business-specific mobile phone is collected, so as to give feedback according to the data performance during actual use, obtain the load intensity and usage frequency of different functional modules in the current business-specific mobile phone, and scientifically and effectively identify and judge the demand viscosity and usage intensity of different modules in the mobile phone, providing effective evaluation guidance for the customization of business-specific mobile phones.

[0014] 2. In the present invention, when judging the load intensity and usage frequency of a business-specific mobile phone, by classifying and grading statistics on modules, the operation conditions of the same module in different mobile phone samples are obtained, and mathematical analysis and threshold judgment are performed on the data obtained from different samples, expanding the sample size, further improving data accuracy, and improving the rationality of mobile phone module customization.

[0015] 3. In the present invention, when customizing mobile phone modules, the usage intensity can be used to distinguish the hardware, so as to select according to the performance requirements of different modules during the process of customizing mobile phone modules. While ensuring that the business-specific mobile phone meets business requirements, the cost increased by redundant performance is reduced. The usage frequency can be used to judge software modules, so as to analyze for the customized configuration of software, improve the software adaptability of business-specific mobile phones, and finally optimize business-specific mobile phones in multiple directions of hardware and software. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0017] Figure 1 It is the operation process diagram of the present invention; Figure 2 It is the system block diagram of the present invention; Figure 3 This is the flowchart of the method of the present invention. Detailed implementation manners

[0018] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0019] Embodiment 1: Please refer to Figure 1 - Figure 3 As shown in, the method for customizing the function modules of a smart phone based on multi-industry application scenarios includes the following steps: Step 1: Lay data acquisition ports for existing industry-specific mobile phones, and collect the operation data of mobile phones of different industry personnel. The collected operation data includes function module IDs, module operation time, module load intensity, and module startup times; Step 2: Refine and statistically analyze the collected mobile phone operation data. Create corresponding numbers of sets according to the total number of function module IDs, and create three subsets in each set of function module IDs, namely a time subset, an intensity subset, and a startup subset. Record the corresponding module operation time, module load intensity, and module startup times as elements in each subset to obtain the operation information of different function modules in each mobile phone; Step 3: Simulate and analyze the operation information of different function modules. Compare the elements in the intensity subset with the set low threshold and high threshold, and judge as high load intensity, normal load intensity, and low load intensity according to the comparison results. Then analyze according to the load ratio in the operation information to obtain the operation intensity of different function modules. Comprehensively analyze the startup times and startup times in the operation information to obtain the average startup time and the proportion of effective startup times. Judge the operation dependence of different function modules according to the average startup time and the proportion of effective startup times; Step 4: Judge the operation intensity according to the preset standard, and generate an intensity adjustment signal according to the judgment result, including a module enhancement signal and a module reduction signal; Step 5: Judge the operation dependence according to the preset standard, and generate a dependence adjustment signal according to the judgment result of the operation dependence, which also includes a module enhancement signal and a module reduction signal; Step 6: Statistically analyze according to the intensity adjustment signal, dependence adjustment signal, and alternative adjustment signal, and generate a module customization result according to the statistical result, so as to customize the enhancement or weakening of different hardware and software modules in the mobile phone, reasonably allocate the budget during mobile phone customization, reduce costs, and fully ensure the adaptation ability of business-specific mobile phones.

[0020] Example 2: Please refer to Figure 1 - Figure 3 As shown, the smartphone function module customization system based on multi-industry application scenarios includes a port laying module, an information collection and diversion module, a function simulation and analysis module, an operation judgment module, and an adjustment plan generation module; The port laying module is used to lay data collection ports for the mobile phone. When laying the collection ports, a unique code is created for each mobile phone; The information collection and diversion module refines and classifies the received operation data, assigns IDs according to the function modules of the mobile phone, creates multiple sets according to the number of function modules of the mobile phone, creates subsets in each set, records the corresponding operation information, and realizes diversion statistics; The function simulation and analysis module is used to simulate and analyze different subsets in the set. When the function simulation and analysis module simulates and analyzes the operation information, each set is analyzed separately as an individual, and the operation intensity and operation dependence corresponding to the function module are generated according to different subsets; When the function simulation and analysis module generates the operation intensity, the elements in the intensity subset are compared with the set thresholds. The set thresholds include a low threshold and a high threshold. If the elements in the intensity subset are greater than the high threshold, the set high load intensity is set. If the elements in the intensity subset are between the low threshold and the high threshold, the set normal load intensity is set. If the elements in the intensity subset are less than the low threshold, the set low load intensity is set; The function simulation and analysis module makes statistics according to the judgment result of the load, and obtains the proportion in each load intensity, which is recorded as the operation intensity; When the function simulation and analysis module generates the operation dependence, the time in the elements in the time subset is arithmetically averaged, and the result of the arithmetic average is recorded as the start time average value; The function simulation and analysis module makes a single threshold judgment on the elements in the start subset, records the elements greater than the threshold as valid elements, and records the elements less than or equal to the threshold as invalid elements. The function simulation and analysis module makes statistics on the number of valid elements and calculates the proportion of the valid elements in the total number of elements in the start subset, which is recorded as the start proportion; The function simulation and analysis module records the judgment results of the time subset and the start subset as the operation dependence.

[0021] The operation judgment module compares the high load intensity, normal load intensity, and low load intensity in the operation intensity with the set thresholds respectively. If the high load intensity is greater than the set proportion threshold, a load overrun signal is generated. If the proportion of the low load intensity is greater than the set intensity threshold, a load too low signal is generated. If the proportion of the normal load intensity is greater than the set intensity threshold, a load normal signal is generated; After the operation judgment module generates an overload signal, the feedback module strengthens the signal. After the operation judgment module generates an underload signal, the feedback module weakens the signal; The operation judgment module multiplies the startup ratio by the average startup time, and compares the calculation result with a set threshold value. If the calculation result is less than the minimum value of the set ratio threshold range, the feedback module weakens the signal. If the calculation result is within the set ratio threshold range, it replaces the adjustment signal. If the calculation result is greater than the maximum value of the set ratio threshold, no response is made; Thus, through the operation judgment module, the operation intensity and operation dependence of each functional module are judged and analyzed to obtain whether the operation intensity of the functional module exceeds the standard and whether the operation dependence meets the standard; The adjustment plan generation module generates statistics on the module weakening signals, replacement adjustment signals, or module strengthening signals fed back by each module according to the judgment results of the operation judgment module, and corresponds the module weakening signals and module strengthening signals with the IDs of the functional modules to generate a module customization result. For the module that generates the module weakening signal, the performance of the hardware or software is reduced, thereby reducing costs. For the module that generates the module strengthening signal, the hardware or software is upgraded and optimized, thereby improving the usage effect. If a replacement adjustment signal is generated, it indicates that the module corresponding to the current customization plan has the necessity of application, but there is a problem of insufficient usage effect. Therefore, by feeding back the signal, manually correcting it, and searching for an alternative solution, the usage effect of the corresponding module is improved, thereby improving the usage effect. If no alternative solution is found, the replacement adjustment signal can be removed by manual correction, so as to retain the functional module corresponding to the generated replacement adjustment signal and continue to be applied to the subsequent customization plan.

[0022] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor limit the present invention to the specific embodiments only. Obviously, according to the content of this specification, many modifications and variations can be made. This specification selects and specifically describes these embodiments to better explain the principle and practical application of the present invention, so that those skilled in the art can understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A method for customizing smartphone function modules based on multi-industry application scenarios, characterized in that: The following steps are involved: Step 1: Install data collection ports on existing industry-specific mobile phones to collect operating data from mobile phones of people in different industries; Step 2: Analyze the collected mobile phone operation data and obtain the operation information of different functional modules in each mobile phone; Step 3: Simulate and analyze the operation information of different functional modules, analyze the load proportion in the operation information, obtain the operation intensity of different functional modules, and conduct a comprehensive analysis of the number of startups and startup time in the operation information to obtain the operation dependency of different functional modules; Step 4: judging the operation intensity according to the preset standard, and generating an intensity adjustment signal according to the judgment result; Step 5: judging the operation dependency according to the preset standard, and generating a dependency adjustment signal according to the operation dependency judgment result; Step 6: Perform statistics based on the intensity regulation signal, dependent regulation signal and alternative regulation signal, and generate module customization results based on the statistical results.

2. The method for customizing smartphone function modules based on multi-industry application scenarios according to claim 1, characterized in that: The operation data collected in step 1 includes function module ID, module operation time, module load intensity and module startup times; When performing detailed statistics on the operating data in the step 2, a corresponding number of sets are created according to the total number of functional module IDs, and three subsets are created in the set of each functional module ID, namely, a time subset, an intensity subset, and a startup subset. In each subset, the corresponding module operating time, module load intensity, and module startup times are recorded as elements in the subset.

3. A smartphone function module customization system based on multi-industry application scenarios, applicable to the smartphone function module customization method based on multi-industry application scenarios described in claim 1, characterized in that: It includes a port laying module, an information collection and diversion module, a function simulation and analysis module, an operation judgment module and an adjustment plan generation module; The port laying module is used to lay data collection ports for mobile phones, and when laying the collection ports, a unique code is created for each mobile phone; The information collection and diversion module classifies the received operation data in detail, assigns IDs according to the functional modules of the mobile phone, creates multiple sets according to the number of functional modules of the mobile phone, creates subsets in each set, records the corresponding operation information, and realizes diversion statistics; The functional simulation analysis module is used to perform simulation analysis on different subsets in the set, and generate operation intensity and operation dependency corresponding to the functional modules according to different subsets; The operation judgment module judges and analyzes the operation intensity and operation dependency of each functional module to determine whether the operation intensity of the functional module exceeds the standard and whether the operation dependency meets the standard; The adjustment scheme generating module generates a module customization result for each module according to the judgment result of the running judgment module, which includes a module enhancement signal or a module reduction signal.

4. The smart phone function module customization system based on multiple industry application scenarios according to claim 3 is characterized in that: When the functional simulation analysis module simulates and analyzes the operation information, each set is analyzed separately as an individual; When analyzing the individual set in the functional simulation analysis module, the elements in the strength subset are compared with the set thresholds, wherein the set thresholds include a low threshold and a high threshold. If the elements in the strength subset are greater than the high threshold, a high load intensity is set; if the elements in the strength subset are between the low threshold and the high threshold, a normal load intensity is set; if the elements in the strength subset are less than the low threshold, a low load intensity is set; The functional simulation analysis module performs statistics based on the load judgment result to obtain the proportion of each load intensity, which is recorded as the operation intensity.

5. The smart phone function module customization system based on multiple industry application scenarios according to claim 3 is characterized in that: The function simulation analysis module performs arithmetic averaging on the time in the elements in the time subset, and records the result of the arithmetic averaging as the startup time mean; The functional simulation analysis module performs a single threshold judgment on the elements in the promoter subset, records the elements greater than the threshold as valid elements, and records the elements less than or equal to the threshold as invalid elements. The functional simulation analysis module counts the number of valid elements and calculates the proportion of valid elements in the total number of elements in the promoter subset, and records it as the promoter proportion; The functional simulation analysis module records the judgment results of the time subset and the startup subset as operation dependencies.

6. The smart phone function module customization system based on multiple industry application scenarios according to claim 3 is characterized in that: The operation judgment module compares the high load intensity, normal load intensity and low load intensity in the operation intensity with the set thresholds respectively. If the high load intensity is greater than the set proportion threshold, a load overload signal is generated; if the low load intensity proportion is greater than the set intensity threshold, a load underload signal is generated; if the normal load intensity proportion is greater than the set intensity threshold, a load normal signal is generated; After the operation judgment module generates a load-exceeding signal, the feedback module enhances the signal, and after the operation judgment module generates a load-under-limiting signal, the feedback module reduces the signal.

7. The smart phone function module customization system based on multiple industry application scenarios according to claim 3 is characterized in that: The operation judgment module calculates the product of the startup proportion and the startup time average, and compares the calculation result with the set threshold range. If the calculation result is less than the minimum value of the set proportion threshold range, the feedback module cuts the signal. If the calculation result is within the set proportion threshold range, the adjustment signal is replaced. If the calculation result is greater than the maximum value of the set proportion threshold, no response is made.

8. The smart phone function module customization system based on multiple industry application scenarios according to claim 3 is characterized in that: The adjustment scheme generation module collects statistics on the module reduction signal, the alternative adjustment signal and the module enhancement signal fed back by the operation judgment module, and matches the module reduction signal and the module enhancement signal with the ID of the functional module to generate a module customization result.

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