CN115271505A - Operation and maintenance index statistical method, device, platform and storage medium - Google Patents
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Abstract
The invention discloses a statistical method, a statistical device, a statistical platform and a storage medium of operation and maintenance indexes. The method is executed by an operation and maintenance platform and comprises the following steps: acquiring operation and maintenance data of an operation and maintenance platform; the operation and maintenance data comprise at least one of user access data, feedback work order data, tool access data and tool use data; and determining operation and maintenance indexes of at least two levels according to the operation and maintenance data, wherein the operation and maintenance indexes comprise at least one of a user daily activity index, a work order quantity index, a tool coverage rate index and a tool utilization rate index. The technical scheme solves the problems that the operation and maintenance indexes are low in statistical efficiency and difficult to guarantee accuracy, and the like, and the operation and maintenance platform is used for carrying out classified statistics in a grading manner, so that the statistical accuracy is improved while the reliability of statistical results is guaranteed, and the refined statistics of the operation and maintenance indexes is favorably realized.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a statistical method, a statistical device, a statistical platform and a storage medium for operation and maintenance indexes.
Background
With the gradual improvement of the digitization level, the operation and maintenance platform can provide more and more perfect operation and maintenance service capability for the business systems in various fields.
In the prior art, a service system for the operation and maintenance platform docking is complicated, and the statistics of operation and maintenance indexes mainly depends on manual calculation. However, the manual calculation method is not only difficult to ensure the accuracy of the operation and maintenance index statistics, but also time and labor are wasted, and a great deal of effort is required for a manager to arrange the operation and maintenance indexes of the large-scale service system.
Disclosure of Invention
The invention provides a statistical method, a statistical device, a statistical platform and a storage medium of operation and maintenance indexes, which are used for solving the problems of low statistical efficiency, difficulty in ensuring accuracy and the like of the operation and maintenance indexes.
According to an aspect of the present invention, there is provided a statistical method for an operation and maintenance index, where the method is performed by an operation and maintenance platform, and the method includes:
acquiring operation and maintenance data of an operation and maintenance platform; the operation and maintenance data comprise at least one of user access data, feedback work order data, tool access data and tool use data;
determining operation and maintenance indexes of at least two levels according to the operation and maintenance data; the operation and maintenance index comprises at least one of a user daily life index, a work order quantity index, a tool coverage rate index and a tool utilization rate index.
According to another aspect of the present invention, there is provided an operation and maintenance index statistical apparatus, configured on an operation and maintenance platform, the apparatus including:
the operation and maintenance data acquisition module is used for acquiring operation and maintenance data of the operation and maintenance platform; the operation and maintenance data comprise at least one of user access data, feedback work order data, tool access data and tool use data;
the operation and maintenance index determining module is used for determining operation and maintenance indexes of at least two levels according to the operation and maintenance data; the operation and maintenance index comprises at least one of a user daily life index, a work order quantity index, a tool coverage rate index and a tool utilization rate index.
According to another aspect of the present invention, there is provided an operation and maintenance platform, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the statistical method for the operation and maintenance index according to any embodiment of the present invention.
According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the statistical method for operation and maintenance index according to any one of the embodiments of the present invention when the computer instructions are executed.
According to the technical scheme of the embodiment of the invention, the operation and maintenance data of the operation and maintenance platform are obtained, and the multi-level operation and maintenance index evaluation system is constructed according to the operation and maintenance data, so that the problems of low statistical efficiency, difficulty in ensuring accuracy and the like of the operation and maintenance indexes in the existing scheme are solved.
It should be understood that the statements in this section are not intended to identify key or critical features of the embodiments of the present invention, nor are they intended to limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a statistical method for operation and maintenance index according to an embodiment of the present invention;
FIG. 2 is a flowchart of a statistical method for operation and maintenance index according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a statistical apparatus for operation and maintenance index according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an operation and maintenance platform for implementing the operation and maintenance index statistical method according to the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in other sequences than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. According to the technical scheme, the data acquisition, storage, use, processing and the like meet the relevant regulations of national laws and regulations.
Example one
Fig. 1 is a flowchart of an operation and maintenance index statistical method according to an embodiment of the present invention, which is applicable to operation and maintenance index statistical scenarios in the fields of finance, internet, and the like, and the method may be executed by an operation and maintenance index statistical apparatus, which may be implemented in a hardware and/or software manner, and the apparatus may be configured in an operation and maintenance platform. As shown in fig. 1, the method includes:
s110, obtaining operation and maintenance data of an operation and maintenance platform; wherein the operation and maintenance data comprises at least one of user access data, feedback work order data, tool access data and tool usage data.
The scheme can be executed by an operation and maintenance platform, and main users of the operation and maintenance platform can be development personnel, operation and maintenance personnel and the like. Managers of the operation and maintenance platform need to evaluate the operation and maintenance platform from different dimensions, such as user dimensions and service dimensions, so that the operation and maintenance platform is improved and optimized according to evaluation indexes, and the requirements of users are met better. Specifically, the administrator needs to know the daily access situation, the opinion feedback situation, the popularization situation of the operation and maintenance tool, the use situation of the operation and maintenance tool, and the like of the operation and maintenance platform.
The operation and maintenance platform can acquire the operation and maintenance data of the user according to a certain evaluation period. The operation and maintenance data may be an operation and maintenance log generated when the user processes the operation and maintenance task, and may include information such as time for the user to access the operation and maintenance platform, the number of the operation and maintenance task to be processed, the type of the operation and maintenance task, and the operation and maintenance tool to be used. Specifically, according to the operation and maintenance index to be evaluated, the operation and maintenance platform can extract and divide the operation and maintenance data into four types, namely user access data, feedback work order data, tool access data and tool use data.
The user access data may include data such as access times, access duration and the like of a user on the operation and maintenance platform. According to the working requirements of different users, the operation and maintenance platform can comprise a plurality of service systems. In more detail, the user access data may further include the number of times of access, the access duration, and the access period of the user in each business system.
It can be understood that, on the operation and maintenance platform, a user can actively establish a work order, feed back operation and maintenance experience, put forward an improvement suggestion of the operation and maintenance platform, make use evaluation on the operation and maintenance platform, and the like. The operation and maintenance platform can also generate a questionnaire after the operation and maintenance task is processed each time, so that the user can evaluate the operation and maintenance task, and further generate a feedback work order according to the relevant information related to the operation and maintenance platform in the questionnaire after the user completes the questionnaire. The operation and maintenance platform can collect, identify and count the feedback work order to generate feedback work order data.
And the operation and maintenance data which can be acquired from the user dimension by the operation and maintenance platform can be accessed by the user and fed back to the work order data. The operation and maintenance platform can also acquire tool access data and tool use data from the business dimension. The tool access data may include data such as whether the operation and maintenance tool is accessed in each service system, the access quantity, and the like. The tool use data can comprise the use times, the use duration and the like of the operation and maintenance tool in each service system.
S120, determining operation and maintenance indexes of at least two levels according to the operation and maintenance data; the operation and maintenance index comprises at least one of a user daily life index, a work order quantity index, a tool coverage rate index and a tool utilization rate index.
The operation and maintenance indexes may include a user daily activity index, a work order quantity index, a tool coverage index, and a tool usage index, corresponding to the operation and maintenance data. The user daily activity index can represent the number of users accessing the operation and maintenance platform every day, the work order number index can represent the number of work orders acquired by the operation and maintenance platform in a preset period, the tool coverage rate index can represent the coverage rate of the operation and maintenance tool on the operation and maintenance platform in the preset period, and the tool utilization rate index can represent the utilization rate of the operation and maintenance tool on the operation and maintenance platform.
The operation and maintenance platform can conduct hierarchical statistics on the operation and maintenance data and calculate operation and maintenance indexes of at least two levels. The at least two levels can be determined based on the refinement granularity of the operation and maintenance index, the operation and maintenance data is assumed to include user access data, and the operation and maintenance index of the first level can be divided into mobile end user daily life and webpage end user daily life based on access equipment. The second level can be divided based on the user affiliated department and can be divided into development department mobile end user daily life, operation and maintenance department mobile end user daily life, management department mobile end user daily life, development department web page end user daily life, operation and maintenance department web page end user daily life and management department web page end user daily life.
According to the technical scheme, the operation and maintenance data of the operation and maintenance platform are obtained, a multi-level operation and maintenance index evaluation system is constructed according to the operation and maintenance data, the problems that the operation and maintenance indexes in the existing scheme are low in statistical efficiency and difficult to guarantee accuracy are solved, the operation and maintenance platform is used for carrying out classified statistics in a grading mode, the reliability of statistical results is guaranteed, the statistical accuracy is improved, and the operation and maintenance indexes can be better counted in a refined mode.
Example two
Fig. 2 is a flowchart of a statistical method for operation and maintenance index according to a second embodiment of the present invention, which is optimized based on the second embodiment. As shown in fig. 2, the method includes:
s210, obtaining operation and maintenance data of an operation and maintenance platform; wherein the operation and maintenance data comprises at least one of user access data, feedback work order data, tool access data and tool use data.
S220, determining operation and maintenance indexes of at least two levels according to the operation and maintenance data; the operation and maintenance index comprises at least one of a user daily life index, a work order quantity index, a tool coverage rate index and a tool utilization rate index.
S230, generating an application operation and maintenance portrait according to the operation and maintenance indexes of at least two levels.
After the operation and maintenance indexes of at least two levels are obtained, the operation and maintenance indexes of each level can be displayed in the forms of statistical curves, statistical graphs and the like, and the multi-dimensional attributes of the operation and maintenance platform are determined so as to generate the application operation and maintenance portrait. The application of the operation and maintenance image is beneficial for managers to intuitively know the conditions of all dimensions of the operation and maintenance platform. For example, the operation and maintenance platform can draw a daily life change curve according to the user daily life index of each period to evaluate the working efficiency of the user. And for example, the operation and maintenance platform can determine a tool access distribution map according to the tool access quantity of each system so as to plan the next operation and maintenance tool popularization work.
In this scheme, optionally, the operation and maintenance data includes user access data; the operation and maintenance index comprises a user daily life index;
the determining operation and maintenance indexes of at least two levels according to the operation and maintenance data comprises:
determining at least one first user daily life index according to the user access data and access equipment of the operation and maintenance platform;
and determining at least two second user daily indicators according to the first user daily indicator and the user type accessing the operation and maintenance platform.
It will be readily appreciated that the user access data may include information such as access device, user type, and user access system. The operation and maintenance platform can be accessed through different types of electronic equipment, such as a mobile phone terminal, a computer terminal and the like. The operation and maintenance platform can count the daily lives of users under various types of access equipment to obtain a first user daily life index. The first user daily life indicator may be used to assess popularity of accessing the operation and maintenance platform through various types of access devices.
After the first user daily life index is obtained, the operation and maintenance platform can continue to classify according to the user types, and count the user daily lives of users of various types under various access devices to obtain a second user daily life index. The user type may be determined based on the functional attribute of the user work, for example, the user type is divided into a development department user and an operation and maintenance department user based on the department to which the user belongs. The user types can also be determined based on the user position grades, for example, the user types are divided into high-level users, middle-level users and ordinary users according to the position heights. The second user daily activity index can be used for evaluating the degree of dependence of each type of user on the operation and maintenance platform.
According to the scheme, the daily living indexes of the users in at least two levels can be counted according to the user access data, and the analysis of the access condition of the operation and maintenance platform from the user perspective is facilitated.
In one possible approach, the operation and maintenance data includes feedback work order data; the operation and maintenance index comprises a work order quantity index;
the determining operation and maintenance indexes of at least two levels according to the operation and maintenance data comprises:
determining at least one first work order quantity index according to the feedback work order data and the service type;
and determining at least two second work order quantity indexes according to the first work order quantity index and the user type associated with the work orders.
In this solution, the feedback work order data may include information about a service type, a feedback user, and the like. The operation and maintenance platform can comprise one or more business systems, such as a basic service system, a monitoring system, a delivery system and the like. Each business system may provide one or more types of services. According to the feedback work order data, the operation and maintenance platform can count the work order quantity of each type of service according to the service type aimed at by the work order to obtain a first work order quantity index. The first work order quantity index can be used for evaluating the service quality of each service. On the basis of the first work order quantity index, the operation and maintenance platform can count the work order feedback condition of each type of user in each service according to the user type to obtain a second work order quantity index. Similar to the user daily activity indicator, the user type may be determined based on the job attributes of the user job or based on the user job level.
The technical scheme is used for counting the number of the work orders based on the service type and the user type, can visually reflect the defects of a service system of the operation and maintenance platform, and is beneficial to management personnel to perform targeted optimization and upgrading on the operation and maintenance platform according to the number index of the work orders.
In another possible approach, the operation and maintenance data includes tool access data; the operation and maintenance index comprises a tool coverage index;
the determining operation and maintenance indexes of at least two levels according to the operation and maintenance data comprises:
determining at least one first tool coverage index according to the tool access data and the tool type;
and determining at least two second tool coverage indexes according to the first tool coverage index and the service type related to the tool.
It will be readily appreciated that the tool access data may include information on tool type, service type, etc. Wherein the tool type may include at least one of a data query tool, a partition validation tool, a partition start stop tool, a program change tool, and a data change tool. The service type may include at least one of development service, operation and maintenance service, and management service. The operation and maintenance platform can count the coverage rate of each type of tool according to the tool access data to obtain a first tool coverage rate index. The first tool coverage indicator may be used to assess the degree of access of each type of tool. On the basis of the first tool coverage rate index, the operation and maintenance platform can calculate the coverage rate of each type of tool in each type of service according to the service type related to the tool to obtain a second tool coverage rate index. The second tool coverage index may be used to evaluate the degree of access of each type of tool in each type of service.
According to the scheme, the tool coverage rate index is counted from the tool access angle, and the popularization work of planning operation and maintenance tools is facilitated.
In a preferred aspect, the operation and maintenance data includes tool usage data; the operation and maintenance index comprises a tool utilization rate index;
the determining operation and maintenance indexes of at least two levels according to the operation and maintenance data comprises:
determining at least one first tool usage indicator by tool type based on the tool usage data;
and determining at least two second tool utilization rate indexes according to the first tool utilization rate index and the service type related to the tool.
On the basis of the scheme, the operation and maintenance platform can count the tool utilization rate from the tool utilization angle. It can be understood that the operation and maintenance platform may count the usage rates of the various types of tools according to the tool usage data to obtain the first tool usage rate index. The first tool usage index may be used to evaluate the usage of various types of tools. On the basis of the first tool utilization rate index, the operation and maintenance platform can count the utilization rates of various types of tools in various types of services according to the service types related to the tools to obtain a second tool utilization rate index. The second tool usage index may be used to evaluate the usage of each type of tool in each type of service.
According to the scheme, the tool utilization rate indexes are counted from the tool use angle, the operation and maintenance tools of all service systems are optimized, and the operation and maintenance tools with high utilization rates are provided for all types of services in a targeted mode.
It should be noted that, in the above scheme, after the second operation and maintenance index is obtained, the operation and maintenance platform may continue to perform multi-level index division according to different dimensions, so as to obtain a multi-level operation and maintenance index. For example, after obtaining the daily activity index of the second user, the operation and maintenance platform may continue to count the daily activities of users of various types of access devices in various service systems, so as to obtain a daily activity index of a third user.
According to the technical scheme, the operation and maintenance data of the operation and maintenance platform are obtained, a multi-level operation and maintenance index evaluation system is constructed according to the operation and maintenance data, the problems that the operation and maintenance indexes in the existing scheme are low in statistical efficiency and difficult to guarantee accuracy are solved, the operation and maintenance platform is used for carrying out classified statistics in a grading mode, the reliability of statistical results is guaranteed, the statistical accuracy is improved, and the operation and maintenance indexes can be favorably refined.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a device for counting an operation and maintenance index according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes:
the operation and maintenance data acquisition module 310 is configured to acquire operation and maintenance data of an operation and maintenance platform; the operation and maintenance data comprise at least one of user access data, feedback work order data, tool access data and tool use data;
an operation and maintenance index determining module 320, configured to determine operation and maintenance indexes of at least two levels according to the operation and maintenance data; the operation and maintenance index comprises at least one of a user daily life index, a work order quantity index, a tool coverage rate index and a tool utilization rate index.
Optionally, the operation and maintenance data includes user access data; the operation and maintenance indexes comprise user daily life indexes;
the operation and maintenance index determining module 320 includes:
the first user daily life index determining unit is used for determining at least one first user daily life index according to the user access data and the access equipment of the operation and maintenance platform;
and the second user daily life index determining unit is used for determining at least two second user daily life indexes according to the first user daily life index and the user type accessing the operation and maintenance platform.
In one possible approach, the operation and maintenance data includes feedback work order data; the operation and maintenance indexes comprise work order quantity indexes;
the operation and maintenance index determining module 320 includes:
the first work order quantity index determining unit is used for determining at least one first work order quantity index according to the feedback work order data and the service type;
and the second work order quantity index determining unit is used for determining at least two second work order quantity indexes according to the first work order quantity index and the user type associated with the work order.
In another possible approach, the operation and maintenance data includes tool access data; the operation and maintenance index comprises a tool coverage index;
the operation and maintenance index determining module 320 includes:
a first tool coverage index determination unit, configured to determine at least one first tool coverage index according to the tool access data and according to a tool type;
and the second tool coverage rate index determining unit is used for determining at least two second tool coverage rate indexes according to the service types related to the tools and according to the first tool coverage rate index.
In a preferred aspect, the operation and maintenance data includes tool usage data; the operation and maintenance index comprises a tool utilization rate index;
the operation and maintenance index determining module 320 includes:
a first tool usage index determination unit for determining at least one first tool usage index by tool type based on the tool usage data;
and the second tool utilization rate index determining unit is used for determining at least two second tool utilization rate indexes according to the first tool utilization rate index and the service type related to the tool.
On the basis of the scheme, the tool type comprises at least one of a data query tool, a partition verification tool, a partition start-stop tool, a program change tool and a data change tool.
Preferably, the apparatus further comprises:
and the application operation and maintenance portrait generation module is used for generating an application operation and maintenance portrait according to the operation and maintenance indexes of at least two levels.
The operation and maintenance index statistical device provided by the embodiment of the invention can execute the operation and maintenance index statistical method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example four
FIG. 4 illustrates a schematic structural diagram of an operation and maintenance platform 410 that may be used to implement an embodiment of the present invention. An operation and maintenance platform is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The operation and maintenance platform may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the operation and maintenance platform 410 includes at least one processor 411, and a memory communicatively connected to the at least one processor 411, such as a Read Only Memory (ROM) 412, a Random Access Memory (RAM) 413, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 411 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 412 or the computer program loaded from the storage unit 418 into the Random Access Memory (RAM) 413. In the RAM 413, various programs and data required for the operation of the operation and maintenance platform 410 may also be stored. The processor 411, the ROM 412, and the RAM 413 are connected to each other through a bus 414. An input/output (I/O) interface 415 is also connected to bus 414.
A plurality of components in the operation and maintenance platform 410 are connected to the I/O interface 415, including: an input unit 416 such as a keyboard, a mouse, or the like; an output unit 417 such as various types of displays, speakers, and the like; a storage unit 418, such as a magnetic disk, optical disk, or the like; and a communication unit 419 such as a network card, modem, wireless communication transceiver, or the like. A communication unit 419 allows the operation and maintenance platform 410 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
In some embodiments, the statistical method of the operation and maintenance index may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 418. In some embodiments, some or all of the computer programs may be loaded and/or installed onto the operation and maintenance platform 410 via ROM 412 and/or communications unit 419. When loaded into RAM 413 and executed by processor 411, may perform one or more of the steps of the statistical method of operation and maintenance metrics described above. Alternatively, in other embodiments, the processor 411 may be configured to perform statistical methods of the operation and maintenance metrics in any other suitable manner (e.g., by way of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described herein may be implemented on an operation platform having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the operation and maintenance platform. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the Internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A statistical method of operation and maintenance indexes is characterized in that the method is executed by an operation and maintenance platform, and the method comprises the following steps:
acquiring operation and maintenance data of an operation and maintenance platform; the operation and maintenance data comprise at least one of user access data, feedback work order data, tool access data and tool use data;
determining operation and maintenance indexes of at least two levels according to the operation and maintenance data; the operation and maintenance index comprises at least one of a user daily life index, a work order quantity index, a tool coverage rate index and a tool utilization rate index.
2. The method of claim 1, wherein the operation and maintenance data comprises user access data; the operation and maintenance index comprises a user daily life index;
the determining operation and maintenance indexes of at least two levels according to the operation and maintenance data comprises:
determining at least one first user daily life index according to the user access data and access equipment of the operation and maintenance platform;
and determining at least two second user daily indicators according to the first user daily indicator and the user type accessing the operation and maintenance platform.
3. The method of claim 1, wherein the operation and maintenance data comprises feedback work order data; the operation and maintenance index comprises a work order quantity index;
the determining operation and maintenance indexes of at least two levels according to the operation and maintenance data comprises:
determining at least one first work order quantity index according to the feedback work order data and the service type;
and determining at least two second work order quantity indexes according to the first work order quantity index and the user type associated with the work orders.
4. The method of claim 1, wherein the operation and maintenance data comprises tool access data; the operation and maintenance index comprises a tool coverage index;
the determining operation and maintenance indexes of at least two levels according to the operation and maintenance data comprises:
determining at least one first tool coverage index according to the tool access data and the tool type;
and determining at least two second tool coverage indexes according to the first tool coverage index and the service type related to the tool.
5. The method of claim 1, wherein the operation and maintenance data comprises tool usage data; the operation and maintenance index comprises a tool utilization rate index;
the determining operation and maintenance indexes of at least two levels according to the operation and maintenance data comprises:
determining at least one first tool usage indicator by tool type based on the tool usage data;
and determining at least two second tool utilization indexes according to the first tool utilization index and the service type related to the tool.
6. The method of claim 4 or 5, wherein the tool types include at least one of a data query tool, a partition validation tool, a partition start stop tool, a program change tool, and a data change tool.
7. The method of claim 1, wherein after determining at least two levels of operation and maintenance metrics from the operation and maintenance data, the method further comprises:
and generating an application operation and maintenance portrait according to the operation and maintenance indexes of at least two levels.
8. An operation and maintenance index statistical device, configured on an operation and maintenance platform, the device comprising:
the operation and maintenance data acquisition module is used for acquiring operation and maintenance data of the operation and maintenance platform; the operation and maintenance data comprise at least one of user access data, feedback work order data, tool access data and tool use data;
the operation and maintenance index determining module is used for determining operation and maintenance indexes of at least two levels according to the operation and maintenance data; the operation and maintenance index comprises at least one of a user daily life index, a work order quantity index, a tool coverage rate index and a tool utilization rate index.
9. An operation platform, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the statistical method of operation and maintenance metrics of any of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a processor to perform the statistical method of operation and maintenance metrics according to any one of claims 1-7 when executed.
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