CN115964214B - Multi-terminal zero code intelligent software development platform - Google Patents
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Abstract
The invention discloses a multi-terminal zero-code intelligent software development platform, which relates to the technical field of zero-code intelligent software development, and is characterized in that a verification result of an expected verification unit is sent to a first detection unit, the first detection unit carries out first detection on a development platform in an operation state, a first test data set is established according to the result of the first detection, a first evaluation value Po is obtained, the operation state of the development platform is predicted, a predicted value of the first evaluation value Po is obtained, and abnormal nodes of the operation of the development platform and possible abnormal nodes are determined; and acquiring abnormal nodes of the development platform and predicted abnormal nodes, forming corresponding control instructions by a control unit, and controlling a backup unit to backup the currently operated development platform and the operation progress thereof. The established node electronic map is used for periodically self-checking the development platform, determining possible faults of each abnormal node, acquiring a corresponding correction scheme and rapidly determining a corresponding solution.
Description
Technical Field
The invention relates to the technical field of zero-code intelligent software development, in particular to a multi-terminal zero-code intelligent software development platform.
Background
The zero code development platform is an application system capable of freely building customer needs in a code-free mode, and almost all the application systems are oriented to the enterprise application field, and the enterprise application field is basically a business scene surrounding form or relational data, takes business digital processing as a core, and continuously expands the demand scenes such as a workflow, a visualization, a reminding, a portal, a document and the like through the digital scene.
The zero code development platform can tightly surround the enterprise data and business management requirements, and designs the data internal structure through the internal structure in a visual mode, and adds a platform for visiting authority and expressing workflow in a visual mode.
After the existing development platform is built, the development platform is usually in a continuous working state and runs for a long time, more running garbage can be brought to the interior of the platform, and finally the operation of the development platform is influenced, however, when the development operation state is obviously less than expected, a user is difficult to bring accurate evaluation to the current operation state of the development platform, and the development platform is inconvenient to process in a targeted manner, so that the operation efficiency of the development platform is influenced.
Therefore, the multi-terminal zero-code intelligent software development platform is provided.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a multi-terminal zero-code intelligent software development platform, which is characterized in that a first detection unit is used for carrying out first detection on a development platform in an operation state, a first test data set is established according to the result of the first detection to obtain a first evaluation value Po, the operation state of the development platform is predicted, the predicted value of the first evaluation value Po is obtained, and abnormal nodes of the operation of the development platform and possible abnormal nodes are determined; and acquiring abnormal nodes of the development platform and predicted abnormal nodes, forming corresponding control instructions by a control unit, and controlling a backup unit to backup the currently operated development platform and the operation progress thereof. The established node electronic map is used for periodically self-checking the development platform, determining possible faults of each abnormal node, acquiring a corresponding correction scheme and rapidly determining a corresponding solution, thereby solving the problems in the background technology.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: after the software development is finished, verifying whether the running result of the development platform reaches the expectation or not by an expectation verification unit, testing the development platform if the running result does not reach the expectation, and judging whether the development platform meets the development condition or not; when testing the development platform, acquiring an operation result of the development platform and the time for reaching the expected operation result, and verifying the operation result and the operation time by an expected verification unit; when at least one of the users cannot reach the expected value, a prompt is sent to the user;
transmitting the verification result of the expected verification unit to a first detection unit, detecting the development platform in the running state for the first time by the first detection unit, and establishing a first test data set according to the result of the first detection;
the method comprises the steps of sending a first test data set to a first processing unit, evaluating the running state of a development platform to obtain a first evaluation value Po, and predicting the running state of the development platform according to the data processing flow of the development platform to obtain a predicted value of the first evaluation value Po; determining abnormal nodes operated by the development platform and possibly generated abnormal nodes;
when at least one of the predicted values of the first evaluation value Po exceeds a threshold value, and the running state of the development platform is difficult to keep the expected state continuously, acquiring abnormal nodes of the development platform and the predicted abnormal nodes, forming corresponding control instructions by a control unit, controlling a backup unit to backup the currently running development platform and the running progress thereof, and controlling an early warning unit to send early warning to a user.
Further, when at least one of the first evaluation value Po and the predicted value thereof is less than the expected value, performing a second detection on the development platform in the running state by a second detection unit, and establishing a second test data set; transmitting the established second test data set to an evaluation module, and performing second evaluation on the running state of the development platform to obtain a second evaluation value Pt;
comparing the second evaluation value Pt with a corresponding threshold value, and when the second evaluation value Pt exceeds the threshold value, identifying fault characteristics on each abnormal node of the development platform in an operating state by the second processing unit, and outputting a corresponding correction scheme; and if the corresponding correction scheme does not exist or the running state is difficult to reach the expected state, the reminding module sends out a reminder.
Further, the first detection unit comprises a memory detection module, a temperature detection module and a noise detection module, wherein,
when the development platform is in an operation state, along a time axis; detecting the memory occupation of the development platform in an operating state by a memory detection module to obtain a plurality of groups of memory occupation Nc; the temperature detection module detects the temperature of a terminal of the operation development platform to obtain a temperature T; the noise detection module detects the noise generated by the terminal of the operation development platform to obtain noise Zy; and acquiring memory occupation Nc, temperature T and noise Zy, and summarizing to establish a first test data set.
Further, the first processing unit comprises an evaluation module, a recording module, a prediction module and an electronic map module, wherein,
the method comprises the steps of sending a first test data set to an evaluation module, and obtaining memory occupation Nc, temperature T and noise Zy by the evaluation module, and obtaining a first evaluation value Po in a correlated manner; the first evaluation value Po is obtained as follows:
wherein, the parameter meaning is: memory factor
，
Temperature factor
，
Noise factor
，
C is a constant correction coefficient.
Further, each processing node for processing data by the development platform is determined according to the flow of the development platform for processing the data; when the development platform operates, determining a node with the first evaluation value Po exceeding a corresponding threshold value as an abnormal node, and marking and recording by a recording module to form recording information; and building a node electronic map by the electronic map module according to the flow of data processing and the corresponding processing nodes, sending the recorded information to the electronic map module, and marking the abnormal nodes.
Further, according to the development platform operation data in the first test data set, under the condition that the development platform continuously operates, the prediction module predicts the memory occupation Nc, the temperature T and the noise Zy of the next stage by using a moving average method prediction model, obtains the prediction value of the next stage respectively, and obtains the first evaluation value Po again as the prediction value; when at least one of the first evaluation value Po and the predicted value thereof exceeds the corresponding threshold value, a judgment result is formed, the judgment result is sent to the control unit, and the control unit forms a corresponding control instruction.
Further, when at least one of the first evaluation value Po and the predicted value thereof is less than the expected value, performing a second detection on the development platform in the running state by a second detection unit, and obtaining and establishing a second test data set; the second detection unit includes: the device comprises a data volume detection module, a fan rotating speed detection module and a clamping detection module; wherein, the liquid crystal display device comprises a liquid crystal display device,
when the development platform is in an operation state, detecting the data processing amount of the development platform in the operation state by a data amount detection module to form a processing amount Cl, detecting whether the development platform is stuck or not by a fan rotation speed detection module, and obtaining a stuck frequency Kp if the development platform is stuck; when a terminal of the application development platform operates, detecting the fan rotation speed of the terminal by a fan rotation speed detection module to form a rotation speed Z; and acquiring the processing amount Cl, the cartoon frequency Kp and the rotating speed Z, and summarizing to establish a second test data set.
Further, the second test data set is sent to an evaluation module, the evaluation module obtains the processing amount Cl, the clamping frequency Kp and the rotating speed Z, after dimensionless processing, the second evaluation value Pt is formed in a correlation mode,
the second evaluation value Pt is obtained as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
，
and (2) and
，
the specific value of the weight is adjusted and set by a user, and D is a constant correction coefficient.
Further, the second processing unit comprises a fault characteristic library, a correction scheme library and an output module, wherein,
according to the node electronic map, periodically self-checking abnormal nodes in the running process of the development platform, acquiring fault characteristics in the running process of the current development platform when the second evaluation value Pt exceeds a corresponding threshold value, and searching in a fault characteristic library to judge whether the fault characteristics are existing characteristics; if the characteristic is the existing characteristic, determining a corresponding operation fault in a fault characteristic library;
acquiring the existing characteristics, searching a corresponding correction scheme in a correction scheme library, and outputting the correction scheme by an output module if the correction scheme exists; and if the acquired existing features are not retrieved in the fault feature library or the operation faults are not retrieved in the correction scheme library according to the existing features, a reminding module sends out reminding to a user.
Further, a second evaluation value Pt and a first evaluation value Po are obtained, and when the second evaluation value Pt does not exceed a corresponding threshold value, correlation is carried out to obtain a comprehensive evaluation value PZ; comparing the comprehensive evaluation value Pz with a corresponding threshold value, if the comprehensive evaluation value Pz exceeds the corresponding threshold value, indicating that the running state of the development platform is difficult to reach the expected state, and sending an early warning to a user by a reminding module;
the method for obtaining the comprehensive evaluation value Pz is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
，
and (2) and
，
for the weights, the settings are adjusted by the user.
(III) beneficial effects
The invention provides a multi-terminal zero code intelligent software development platform, which has the following beneficial effects:
by establishing the second test data set and determining the second evaluation value Pt, the test of the development platform can be evaluated from the second dimension, so that the running state of the development platform is judged for the second time, the running judgment of the development platform is more comprehensive on the basis of the first judgment, the first detection is verified, whether the processing nodes are abnormal or not is further confirmed, and the user can conveniently conduct targeted processing.
By setting the second processing unit, when the running state of the development platform is lower than a threshold value, the second processing unit is started according to the established node electronic map, and the periodic self-detection of the development platform is carried out, so that possible faults of each abnormal node are determined, and corresponding correction schemes are obtained, so that when the running state of the development platform is faulty, the corresponding solution is rapidly determined, and the correction of the development platform is completed.
Through forming comprehensive evaluation value Pz, can be to the operation wholeness evaluation of development platform, if comprehensive evaluation value Pz surpasses corresponding threshold value, then indicate the running state of development platform still be difficult to reach expectedly, send the early warning through reminding the module, remind the user to handle to make the development platform when using, the user in time handles, avoids breaking down suddenly, influences the continuation of work.
Drawings
FIG. 1 is a schematic diagram of a primary detection flow of a software development platform according to the present invention;
fig. 2 is a schematic diagram of a secondary detection flow structure of the software development platform of the present invention.
In the figure:
10. an expected verification unit; 20. a first detection unit; 21. a memory detection module; 22. a temperature detection module; 23. a noise detection module;
30. a first processing unit; 31. an evaluation module; 32. a recording module; 33. a prediction module; 34. an electronic map module; 40. a control unit; 50. a backup unit; 60. an early warning unit;
70. a second detection unit; 71. a data amount detection module; 72. a fan rotation speed detection module; 73. a stuck detection module; 80. an evaluation module; 90. a second processing unit; 91. a fault feature library; 92. a correction scheme library; 93. an output module; 100. and a reminding module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
Referring to fig. 1-2, the present invention provides a multi-terminal zero-code intelligent software development platform, which comprises an expected verification unit 10, a first detection unit 20, a first processing unit 30, a control unit 40, a backup unit 50, an early warning unit 60, a second detection unit 70, an evaluation module 80, a second processing unit 90, and a reminding module 100, wherein,
after the software development is finished, verifying whether the running result of the development platform reaches the expectation or not by an expectation verification unit 10, and if the running result does not reach the expectation, testing the development platform to judge whether the development platform meets the development condition or not;
transmitting the verification result of the expected verification unit 10 to a first detection unit 20, performing first detection on the development platform in the running state by the first detection unit 20, and establishing a first test data set according to the result of the first detection;
the first test data set is sent to the first processing unit 30, the operation state of the development platform is evaluated, a first evaluation value Po is obtained,
predicting the running state of the development platform according to the flow of the development platform for data processing, and obtaining a predicted value of the first evaluation value Po;
determining abnormal nodes operated by the development platform and possibly generated abnormal nodes;
when at least one of the predicted values of the first evaluation value Po exceeds the threshold value, and the running state of the development platform is difficult to keep the expected state continuously, the abnormal node of the development platform and the predicted abnormal node are obtained, a corresponding control instruction is formed by the control unit 40, the backup unit 50 is controlled to backup the currently running development platform and the running progress thereof, and the early warning unit 60 is controlled to send early warning to the user.
Referring to fig. 1 and 2, when at least one of the first evaluation value Po and its predicted value is less than the expected value, the second detection unit 70 performs a second detection on the development platform in the running state, and establishes a second test data set;
the established second test data set is sent to the evaluation module 80, and the running state of the development platform is evaluated for the second time to obtain a second evaluation value Pt;
comparing the second evaluation value Pt with a corresponding threshold value, and when the second evaluation value Pt exceeds the threshold value, identifying fault characteristics on each abnormal node of the development platform in an operating state by the second processing unit 90, and outputting a corresponding correction scheme;
if no corresponding correction scenario exists, or the operating state is difficult to expect, a reminder is issued by the reminder module 100.
Referring to fig. 1, when testing an development platform, an operation result of the development platform and a time to reach an expected operation result are acquired, and the operation result and the operation time are verified by an expected verification unit 10;
when at least one of the users cannot reach the expected value, a prompt is sent to the user; at this point, it proves difficult for the development platform to run as expected, requiring testing for further validation.
Referring to fig. 2, the first detecting unit 20 includes a memory detecting module 21, a temperature detecting module 22 and a noise detecting module 23, wherein,
when the development platform is in an operation state, along a time axis; detecting the memory occupation of the development platform in the running state by a memory detection module 21 to obtain a plurality of groups of memory occupation Nc;
the temperature detection module 22 detects the temperature of the terminal running the development platform to obtain a temperature T; the noise detection module 23 detects the noise generated by the terminal of the operation development platform to obtain noise Zy;
and acquiring memory occupation Nc, temperature T and noise Zy, and summarizing to establish a first test data set.
When the system is used, the memory detection module 21, the temperature detection module 22 and the noise detection module 23 are arranged, and when the operation state of the development platform is developed, a first test data set is established, so that the operation state of the development platform can be evaluated.
Referring to fig. 2, the first processing unit 30 includes an evaluation module 31, a recording module 32, a prediction module 33, and an electronic map module 34, wherein,
the first test data set is sent to an evaluation module 31, and the evaluation module 31 acquires memory occupation Nc, temperature T and noise Zy and correlates the memory occupation Nc, temperature T and noise Zy to acquire a first evaluation value Po;
the first evaluation value Po is obtained as follows:
wherein, the parameter meaning is: memory factor
，
Temperature factor
，
Noise factor
，
C is a constant correction coefficient.
It should be noted that, a person skilled in the art collects multiple sets of sample data and sets a corresponding preset scaling factor for each set of sample data; substituting the preset proportionality coefficient and the collected sample data into a formula, forming a ternary once equation set by any three formulas, screening the coefficient obtained by calculation and taking an average value to obtain
Is a value of (2);
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding preset proportional coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
When the system is used, the memory occupation Nc, the temperature T and the noise Zy are related to obtain a first evaluation value Po, so that the operation of a development platform is evaluated, and a plurality of parameters are related together, so that the system has more factors and more coverage, and has better objectivity when the operation state of the development platform is evaluated; the user can make a corresponding selection according to the magnitude of the first evaluation value Po.
Referring to fig. 1 and 2, each processing node of the development platform for processing data is determined according to the flow of the development platform for processing the data;
when the development platform runs, determining the node of which the first evaluation value Po exceeds a corresponding threshold value as an abnormal node, and marking and recording by a recording module 32 to form recording information;
according to the flow of data processing and corresponding processing nodes, an electronic map module 34 builds a node electronic map, and records information is sent to the electronic map module 34 to mark abnormal nodes.
When the system is used, whether the node is abnormal or not is judged according to the data processing flow and the corresponding processing node and the size of the first evaluation value Po, if so, a user can conduct targeted processing on the development platform, overall maintenance is avoided, and maintenance efficiency is improved.
Referring to fig. 1, according to the development platform operation data in the first test data set, under the condition that the development platform is continuously operated, the prediction module 33 predicts Nc, temperature T and noise Zy for the memory occupation in the next stage,
predicting by using a moving average method prediction model, respectively acquiring predicted values of the next stage, acquiring a first evaluation value Po again as a predicted value, and predicting and evaluating the next stage of operation of the development platform; thereby evaluating the operation of the development platform at the next stage;
when at least one of the first evaluation value Po and the predicted value thereof exceeds the corresponding threshold, a determination result is formed, the determination result is sent to the control unit 40, and a corresponding control instruction is formed by the control unit 40.
In use, the first evaluation value Po of the next period is predicted by the set prediction module 33 by means of a moving average prediction model, so that evaluation and prediction are formed on the running state of the development platform, and if the predicted value of the first evaluation value Po exceeds the corresponding threshold, the user can process in advance.
Referring to fig. 2, when at least one of the first evaluation value Po and its predicted value is less than expected, the development platform in the running state is detected for the second time by the second detection unit 70, and a second test data set is acquired and established;
the data amount detection module 71, the fan rotation speed detection module 72 and the stuck detection module 73; wherein, the liquid crystal display device comprises a liquid crystal display device,
when the development platform is in an operation state, detecting the data processing amount of the development platform in the operation state by a data amount detection module 71 to form a processing amount Cl, detecting whether the development platform is stuck or not by a fan rotation speed detection module 72, and obtaining a stuck frequency Kp if the development platform is stuck;
when the terminal of the application development platform operates, the fan rotation speed of the terminal is detected by a fan rotation speed detection module 72 to form a rotation speed Z;
acquiring the processing amount Cl, the katon frequency Kp and the rotating speed Z, and summarizing to establish a second test data set;
the second test data set is sent to the evaluation module 80, the evaluation module 80 obtains the processing amount Cl, the katon frequency Kp and the rotating speed Z, the second evaluation value Pt is formed by correlation after dimensionless processing,
the second evaluation value Pt is obtained as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
，
and (2) and
，
the specific value of the weight is adjusted and set by a user, and D is a constant correction coefficient.
During the use, through establishing second test data set and confirming second evaluation value Pt, can carry out the evaluation to the test of development platform from the second dimension to carry out the second time judgement to the running state of development platform, on the basis of first judgement, judge the running of development platform more comprehensively, verify first detection, further confirm whether unusual on each processing node, thereby make things convenient for the user to make the processing that pertinence.
Referring to fig. 2, the second processing unit 90 includes a fault signature library 91, a correction scenario library 92, and an output module 93, wherein,
according to the node electronic map, periodically self-checking the abnormal nodes in the running process of the development platform, acquiring the fault characteristics in the running process of the current development platform when the second evaluation value Pt exceeds the corresponding threshold value, and searching in the fault characteristics library 91 to judge whether the fault characteristics are the existing characteristics;
if an existing signature, a corresponding operational fault is determined in the fault signature library 91.
It should be noted that, when testing and running the development platform, faults and corresponding fault features and solutions that may be generated are common, and only a small part of faults and corresponding solutions are rare, so that known fault features, faults and corresponding correction schemes are summarized, and a fault feature library 91 and a correction scheme library 92 are respectively constructed;
acquiring the existing characteristics, searching a corresponding correction scheme in the correction scheme library 92, and outputting the correction scheme by the output module 93 if the correction scheme exists;
if the acquired existing features are not retrieved in the fault signature library 91 or an operational fault is not retrieved in the correction scenario library 92 based on the existing features, a reminder is sent to the user by the reminder module 100.
When the system is used, a correction scheme corresponding to the operation fault of the development platform is prepared in advance by arranging the second processing unit 90, when the operation state of the development platform is lower than a threshold value, the second processing unit 90 is started according to the established node electronic map, periodic self-checking of the development platform is performed, so that possible faults of abnormal nodes are determined, the corresponding correction scheme is obtained, and when the operation of the development platform is faulty, the corresponding solution is rapidly determined, and correction of the development platform is completed.
Referring to fig. 1 and 2, a second evaluation value Pt and a first evaluation value Po are obtained, and when the second evaluation value Pt does not exceed a corresponding threshold, correlation is performed to obtain a comprehensive evaluation value Pz;
comparing the comprehensive evaluation value Pz with a corresponding threshold value, if the comprehensive evaluation value Pz exceeds the corresponding threshold value, indicating that the running state of the development platform is difficult to reach the expected state, and sending an early warning to a user by the reminding module 100;
the method for obtaining the comprehensive evaluation value Pz is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
1，
and (2) and
1，
for the weights, the settings are adjusted by the user.
When the development platform is used, when the second evaluation value Pt does not exceed the corresponding threshold value, the operation integrity of the development platform can be evaluated by forming the comprehensive evaluation value Pz, if the comprehensive evaluation value Pz exceeds the corresponding threshold value, the operation state of the development platform is indicated to be difficult to reach the expected state, and the warning module 100 is used for sending out early warning to remind a user to process, so that the development platform is used, the user can process in time, and the sudden occurrence of faults is avoided, and the duration of work is influenced.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present application are all or partially produced. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a division of some logic functions, and there may be additional divisions in actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or other various media capable of storing program codes.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention, but to enable any modification, equivalent or improvement to be made without departing from the spirit and principles of the invention.
Claims (8)
1. A multi-terminal zero code intelligent software development platform is characterized in that:
after software development is finished, verifying whether the running result of the development platform reaches the expectation or not by an expectation verification unit (10), and if the running result does not reach the expectation, testing the development platform to judge whether the development platform meets the development condition or not;
when testing the development platform, acquiring an operation result of the development platform and the time reaching the expected operation result, and verifying the operation result and the operation time by an expected verification unit (10); when at least one of the users cannot reach the expected value, a prompt is sent to the user;
transmitting a verification result of the expected verification unit (10) to a first detection unit (20), performing first detection on the development platform in an operating state by the first detection unit (20), and establishing a first test data set according to the result of the first detection;
the method comprises the steps of sending a first test data set to a first processing unit (30), evaluating the running state of an development platform to obtain a first evaluation value Po, and predicting the running state of the development platform according to the flow of data processing by the development platform to obtain a predicted value of the first evaluation value Po; determining abnormal nodes operated by the development platform and possibly generated abnormal nodes;
when at least one of the predicted values of the first evaluation value Po exceeds a threshold value, and the running state of the development platform is difficult to keep in an expected state continuously, acquiring abnormal nodes of the development platform and the predicted abnormal nodes, forming corresponding control instructions by a control unit (40), controlling a backup unit (50) to backup the currently running development platform and the running progress thereof, and controlling an early warning unit (60) to send early warning to a user;
the first processing unit (30) comprises an evaluation module (31), a recording module (32), a prediction module (33) and an electronic map module (34), wherein,
the first test data set is sent to an evaluation module (31), and the evaluation module (31) acquires memory occupation Nc, temperature T and noise Zy and correlates the memory occupation Nc, temperature T and noise Zy to acquire a first evaluation value Po;
the first evaluation value Po is obtained as follows:
；
wherein, the parameter meaning is: memory factor
，/>
Temperature factor->
，/>
Noise factor->
，/>
C is a constant correction coefficient;
determining each processing node for processing data by the development platform according to the flow of the development platform for processing the data;
when the development platform operates, determining a node with the first evaluation value Po exceeding a corresponding threshold value as an abnormal node, and marking and recording by a recording module (32) to form recording information;
according to the flow of data processing and corresponding processing nodes, an electronic map module (34) builds a node electronic map, and records information is sent to the electronic map module (34) to mark abnormal nodes.
2. The multi-terminal zero-code intelligent software development platform according to claim 1, wherein:
when at least one of the first evaluation value Po and the predicted value thereof is less than expected, a second detection unit (70) detects the development platform in the running state for the second time, and a second test data set is established; transmitting the established second test data set to an evaluation module (80), and performing second evaluation on the running state of the development platform to obtain a second evaluation value Pt;
comparing the second evaluation value Pt with a corresponding threshold value, and when the second evaluation value Pt exceeds the threshold value, identifying fault characteristics on each abnormal node of the development platform in an operating state by a second processing unit (90), and outputting a corresponding correction scheme; and if the corresponding correction scheme does not exist or the running state is difficult to reach the expected state, a reminding module (100) sends out a reminding.
3. The multi-terminal zero-code intelligent software development platform according to claim 1, wherein:
the first detection unit (20) comprises a memory detection module (21), a temperature detection module (22) and a noise detection module (23), wherein,
when the development platform is in an operation state, along a time axis; detecting the memory occupation of the development platform in an operating state by a memory detection module (21) to obtain a plurality of groups of memory occupation Nc;
the temperature detection module (22) detects the temperature of a terminal of the operation development platform to obtain a temperature T; the noise detection module (23) detects the noise generated by the terminal of the operation development platform to obtain noise Zy;
and acquiring memory occupation Nc, temperature T and noise Zy, and summarizing to establish a first test data set.
4. The multi-terminal zero-code intelligent software development platform according to claim 1, wherein:
according to development platform operation data in the first test data set, under the condition that the development platform continuously operates, a prediction module (33) predicts memory occupation Nc, temperature T and noise Zy of the next stage by using a moving average method prediction model, respectively obtains prediction values of the next stage, and obtains a first evaluation value Po again as a prediction value;
when at least one of the first evaluation value Po and the predicted value thereof exceeds the corresponding threshold value, a judgment result is formed, the judgment result is sent to the control unit (40), and the control unit (40) forms a corresponding control instruction.
5. The multi-terminal zero-code intelligent software development platform according to claim 2, wherein:
when at least one of the first evaluation value Po and the predicted value thereof is less than expected, a second detection unit (70) detects the development platform in the running state for the second time, and a second test data set is acquired and established;
the second detection unit (70) includes: a data amount detection module (71), a fan rotation speed detection module (72) and a stuck detection module (73); wherein, the liquid crystal display device comprises a liquid crystal display device,
when the development platform is in an operation state, detecting the data processing amount of the development platform in the operation state by a data amount detection module (71) to form a processing amount Cl, detecting whether the development platform is stuck or not by a fan rotating speed detection module (72), and acquiring a stuck frequency Kp if the development platform is stuck;
when the terminal of the application development platform operates, detecting the fan rotation speed of the terminal by a fan rotation speed detection module (72) to form a rotation speed Z;
and acquiring the processing amount Cl, the cartoon frequency Kp and the rotating speed Z, and summarizing to establish a second test data set.
6. The multi-terminal zero-code intelligent software development platform according to claim 2, wherein:
the second test data set is sent to an evaluation module (80), the evaluation module (80) obtains the processing amount Cl, the katon frequency Kp and the rotating speed Z, the second evaluation value Pt is formed by correlation after dimensionless processing,
the second evaluation value Pt is obtained as follows:
；
wherein, the liquid crystal display device comprises a liquid crystal display device,
，/>
and->
，/>
The specific value of the weight is adjusted and set by a user, and D is a constant correction coefficient.
7. The multi-terminal zero-code intelligent software development platform according to claim 2, wherein:
the second processing unit (90) comprises a fault characteristic library (91), a correction scheme library (92) and an output module (93), wherein,
according to the node electronic map, periodically self-checking abnormal nodes during operation of the development platform, acquiring fault characteristics during operation of the current development platform when the second evaluation value Pt exceeds a corresponding threshold value, searching in a fault characteristic library (91), and judging whether the fault characteristics are existing characteristics;
if the feature is the existing feature, determining a corresponding operation fault in a fault feature library (91);
acquiring the existing characteristics, searching a corresponding correction scheme in a correction scheme library (92), and outputting the correction scheme by an output module (93) if the correction scheme exists;
if the acquired existing features are not retrieved in the fault feature library (91) or the operation faults are not retrieved in the correction scheme library (92) according to the existing features, a reminding module (100) sends out reminding to a user.
8. The multi-terminal zero-code intelligent software development platform according to claim 7, wherein:
acquiring a second evaluation value Pt and a first evaluation value Po, and performing association when the second evaluation value Pt does not exceed a corresponding threshold value, so as to acquire a comprehensive evaluation value PZ;
comparing the comprehensive evaluation value Pz with a corresponding threshold value, if the comprehensive evaluation value Pz exceeds the corresponding threshold value, indicating that the running state of the development platform is difficult to reach the expected state, and sending an early warning to a user by a reminding module (100);
the method for obtaining the comprehensive evaluation value Pz is as follows:
；
wherein, the liquid crystal display device comprises a liquid crystal display device,
，/>
and->
1，/>
For the weights, the settings are adjusted by the user.
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