CN114679499A - Enterprise data collection monitoring method and device, computer equipment and storage medium - Google Patents

Enterprise data collection monitoring method and device, computer equipment and storage medium Download PDF

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Publication number
CN114679499A
CN114679499A CN202111657503.2A CN202111657503A CN114679499A CN 114679499 A CN114679499 A CN 114679499A CN 202111657503 A CN202111657503 A CN 202111657503A CN 114679499 A CN114679499 A CN 114679499A
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China
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reporting
time
enterprise data
preset
updating
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邬旭栋
李琛
黎思敏
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Huizhou Smart Big Data Co ltd
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Huizhou Smart Big Data Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

The application provides an enterprise data collection monitoring method, an enterprise data collection monitoring device, computer equipment and a storage medium. The method comprises the steps of obtaining reporting and updating time of enterprise data; carrying out differential processing on the reporting updating time and a preset reporting time to obtain a reporting delay difference amount; and adjusting a reporting quasi-delay signal sent to the enterprise data monitoring system according to the reporting delay difference. The reporting time of the enterprise data is acquired in real time, and is compared with the preset reporting time, namely, the reporting time is compared with the standard reporting time in sequence, so that the reporting time of the enterprise data is conveniently determined, and whether the reporting time is in a specified time period or not is determined.

Description

Enterprise data collection monitoring method and device, computer equipment and storage medium
Technical Field
The invention relates to the technical field of enterprise data collection, in particular to an enterprise data collection monitoring method, an enterprise data collection monitoring device, computer equipment and a storage medium.
Background
Along with the requirement of strengthening enterprise supervision informationization work, more and more enterprise data need to carry out digitization and high-efficient improvement to adapt to the development needs of higher and higher speed, wherein, enterprise data information has the diversification, need to gather through enterprise data platform, in order to reach centralized processing and synchronous renewal's function.
However, the enterprise data and enterprise data information are processed and stored by each enterprise, and the information reporting is not timely enough, so that the enterprise data platform is very inconvenient to manage the data.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides an enterprise data collection monitoring method, an enterprise data collection monitoring device, computer equipment and a storage medium, wherein the enterprise data collection monitoring method, the enterprise data collection monitoring device, the computer equipment and the storage medium can effectively improve the reporting timeliness of enterprise data.
The purpose of the invention is realized by the following technical scheme:
a method of enterprise data collection monitoring, the method comprising:
acquiring reporting and updating time of enterprise data;
carrying out differential processing on the reporting updating time and a preset reporting time to obtain a reporting delay difference amount;
and adjusting a reporting quasi-delay signal sent to the enterprise data monitoring system according to the reporting delay difference.
In one embodiment, the obtaining of the reporting update time of the enterprise data includes: acquiring a plurality of data updating times of the enterprise data within a preset time; and collecting the last data updating time and assigning the data updating time as the reporting updating time.
In one embodiment, the acquiring the last data update time and assigning the last data update time as the reporting update time includes: acquiring an updating time difference value between each data updating time and a preset starting time; and performing time difference sorting processing on each updating time difference value to obtain a maximum time difference value, and setting the data updating time corresponding to the maximum time difference value as the reporting updating time.
In one embodiment, the performing a difference process on the reporting update time and a preset reporting time to obtain a reporting delay difference amount includes: detecting whether the reporting updating time is less than or equal to a first preset reporting time; when the reporting updating time is less than or equal to the first preset reporting time, detecting whether the reporting updating time is greater than or equal to a second preset reporting time; and when the reporting update time is greater than or equal to the second preset reporting time, calculating a difference value between the reporting update time and the first preset reporting time.
In one embodiment, the detecting whether the reporting update time is less than or equal to a first preset reporting time further includes: and when the reporting updating time is greater than the first preset reporting time, sending a data reporting overtime signal to the enterprise data monitoring system.
In one embodiment, the detecting whether the reporting update time is greater than or equal to a second first preset reporting time further includes: and when the reporting updating time is less than the second first preset reporting time, sending a data reporting non-starting signal to the enterprise data monitoring system.
In one embodiment, the adjusting the reporting delay signal sent to the enterprise data monitoring system according to the amount of the reporting delay includes: detecting whether the reporting delay difference is less than or equal to a preset reporting difference; and when the reporting delay difference is smaller than or equal to the preset reporting difference, sending a reporting on-time signal and the enterprise data to the enterprise data monitoring system.
An enterprise data collection monitoring device, the device comprising:
the acquisition module is used for acquiring the reporting and updating time of the enterprise data;
the processing module is used for carrying out differential processing on the reporting updating time and the preset reporting time to obtain the reporting delay difference quantity;
And the reporting and sending module is used for adjusting the reporting quasi-late signal sent to the enterprise data monitoring system according to the reporting delay difference.
A computer device comprising a memory storing a computer program and a processor implementing the following steps when the computer program is executed:
acquiring reporting and updating time of enterprise data;
carrying out differential processing on the reporting updating time and a preset reporting time to obtain a reporting delay difference amount;
and adjusting a reporting quasi-delay signal sent to the enterprise data monitoring system according to the reporting delay difference.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring reporting and updating time of enterprise data;
carrying out differential processing on the reporting updating time and preset reporting time to obtain a reporting delay difference quantity;
and adjusting a reporting quasi-delay signal sent to the enterprise data monitoring system according to the reporting delay difference.
Compared with the prior art, the invention has at least the following advantages:
the reporting time of the enterprise data is acquired in real time, and is compared with the preset reporting time, namely, the reporting time is compared with the standard reporting time in sequence, so that the reporting time of the enterprise data is conveniently determined, and whether the reporting time is in a specified time period or not is determined.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
FIG. 1 is a flow diagram of a method for enterprise data collection monitoring in one embodiment;
FIG. 2 is a diagram of the internal structure of a computer device in one embodiment.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully hereinafter with reference to the accompanying drawings. Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only and do not represent the only embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
The invention relates to an enterprise data collection monitoring method. In one embodiment, the enterprise data collection monitoring method includes acquiring reporting update time of enterprise data; carrying out differential processing on the reporting updating time and a preset reporting time to obtain a reporting delay difference amount; and adjusting a reporting quasi-delay signal sent to the enterprise data monitoring system according to the reporting delay difference. The reporting time of the enterprise data is acquired in real time, and is compared with the preset reporting time, namely, the reporting time is compared with the standard reporting time in sequence, so that the reporting time of the enterprise data is conveniently determined, and whether the reporting time is in a specified time period or not is determined.
Please refer to fig. 1, which is a flowchart illustrating an enterprise data collection monitoring method according to an embodiment of the present invention. The enterprise data collection monitoring method comprises part or all of the following steps.
S100: and acquiring the reporting and updating time of the enterprise data.
In this embodiment, the enterprise data includes enterprise basic information, listed company basic information, financial sub-enterprise information, enterprise reform information, enterprise leader management information, enterprise recruitment information, salary management information, regulation and specification information, property right management information, capital operation information, industrial chain information, investment management information, financial supervision information, and financial quick-report information. For reporting the enterprise data, continuous data input is required, and after each enterprise data input, an update time is available, namely the last reporting update time of the enterprise data. The different enterprise users are mutually independent, namely each enterprise user has independent reporting and updating time when inputting enterprise data, so that the updating and reporting conditions of different enterprise user accounts can be monitored conveniently, and whether the enterprise users finish the reporting of the corresponding enterprise data or not can be determined in a specified time.
S200: and carrying out differential processing on the reporting updating time and the preset reporting time to obtain the reporting delay difference.
In this embodiment, the preset reporting time is a specified reporting time of the enterprise data, and the reporting update time is a real-time update time of the data reported by the current enterprise user, for example, the reporting update time may be a last update time of the enterprise data uploaded by the current enterprise user. The reporting updating time and the preset reporting time are subjected to differential processing, the time of enterprise data uploaded by the current enterprise user is compared with the appointed uploading time, the time difference degree between the reporting updating time and the appointed uploading time is displayed, the reporting time of the enterprise data can be determined successively by the change degree of the reporting delay quantity, and therefore the reporting timeliness of the enterprise data can be monitored subsequently. In another embodiment, the preset reporting time is a data reporting time period set by a manager, and the function of specifying the time for reporting the data is provided, so that enterprise data can be reported in a specific time.
S300: adjusting a reporting quasi-late signal sent to an enterprise data monitoring system according to the reporting delay difference amount
In this embodiment, the reporting delay amount is a difference between a time of enterprise data uploaded by a current enterprise user and a specified uploading time, and the reporting delay amount is used to determine a sequence of the reporting time of the enterprise data, that is, the reporting delay amount is used to determine whether the reporting time of the enterprise data lags behind the preset reporting time, that is, the reporting delay amount is used to determine whether the reporting time of the enterprise data is overtime. After the value of the amount of delay is determined, a corresponding report signal may be sent to the enterprise data monitoring system, so as to judge the uploading time of the enterprise data on time or delayed, thereby facilitating a monitoring person of the enterprise data monitoring system to find out in time whether the uploading time of the enterprise data of the current enterprise user is in time.
In this embodiment, the reporting time of the enterprise data is obtained in real time, and is compared with the preset reporting time, that is, compared with the standard reporting time in sequence, so as to determine when the enterprise data is reported and whether the reporting time is within a specified time period, and then according to the value of the reporting delay amount, the reporting delay signal sent to the enterprise data monitoring system is adjusted, so that the reporting update time of the enterprise data is determined, and the reporting timeliness of the enterprise data is effectively improved.
In one embodiment, the obtaining of the reporting update time of the enterprise data includes: acquiring a plurality of data updating times of the enterprise data within a preset time; and collecting the last data updating time and assigning the data updating time as the reporting updating time. In this embodiment, the reporting and updating time of the enterprise data is updated in real time along with the input to the operation interface, that is, the enterprise data is sampled from the beginning of entering the enterprise data to the end of updating the enterprise data by the user, and the sampling period is the preset time. In the preset time, in order to determine the final reporting time of the enterprise data more accurately, the enterprise data at multiple time points need to be updated, so that the reporting time of the enterprise data is multiple, and the final reporting time, that is, the reporting update time of the enterprise data, is determined according to the reporting times of the multiple enterprise data. In another embodiment, the data update time is a time node within the preset time, and the preset time is a time in the vicinity of a specified reporting time, for example, the specified reporting time is from 9 to 17 points of a certain day, and the preset time is a plurality of time real-time sampling times of the day. Therefore, reporting and updating time of the enterprise data is collected in the reporting time and the time periods before and after the reporting time, so that the reporting timeliness of the enterprise data can be detected conveniently.
Further, the acquiring the last data update time and assigning the data update time as the reporting update time includes: acquiring an updating time difference value between each data updating time and a preset starting time; and performing time difference sorting processing on each updating time difference value to obtain a maximum time difference value, and setting the data updating time corresponding to the maximum time difference value as the reporting updating time. In this embodiment, the data update time is collection time for reporting the enterprise data, and after the enterprise data is updated each time, the corresponding update time is the data update time for reporting the enterprise data. The data updating time is changed along with time, and the preset starting time is the reporting initial time specified by the enterprise data, namely the preset starting time is the specified starting time for reporting the enterprise data. And after the data updating time is compared with a preset starting time, the obtained updating time difference value is the difference value between the data updating time and the preset starting time, and the updating time difference value is used for reflecting the difference time between the data updating time and the specified starting time reported by the enterprise data. And then, time difference sorting processing is carried out on each updating time difference value, so that the data updating time can be conveniently subjected to time sorting, and the sequence of the data updating time is determined. The maximum value existing in the update time difference value is the last reporting time node, that is, the maximum time difference value, and at this time, the data update time corresponding to the maximum time difference value is the final reporting time of the enterprise data, so as to determine the last update time of the enterprise data.
In one embodiment, the performing difference processing on the reporting update time and a preset reporting time to obtain a difference in reporting delay includes: detecting whether the reporting update time is less than or equal to a first preset reporting time; when the reporting updating time is less than or equal to the first preset reporting time, detecting whether the reporting updating time is greater than or equal to a second first preset reporting time; and when the reporting update time is greater than or equal to the second first preset reporting time, calculating a difference value between the reporting update time and the first preset reporting time. In this embodiment, the first preset reporting time and the second preset reporting time are time endpoints of the preset reporting times, that is, the first preset reporting time is a maximum reporting time of the preset reporting times, and the second preset reporting time is a minimum reporting time of the preset reporting times. The report update time is less than or equal to the first preset report time, which indicates that the last data update time of the enterprise data does not exceed the first preset report time, i.e., indicates that the last report time of the enterprise data is less than the maximum value of the preset report time, i.e., the last report time of the enterprise data does not time out. At this time, in order to further ensure that the last update time of the enterprise data is within the preset reporting time, detecting whether the reporting update time is greater than or equal to a second preset reporting time, so as to detect whether the reporting update time is within the preset reporting time, where the reporting update time is greater than or equal to the second preset reporting time, which indicates that the last data update time of the enterprise data exceeds the second preset reporting time, that is, indicates that the last reporting time of the enterprise data is greater than the minimum value of the preset reporting time, that is, the last reporting time of the enterprise data does not appear an advanced reporting condition. Therefore, the difference value between the last reporting updating time of the enterprise data and the first preset reporting time can be used as the reporting delay difference value, and a corresponding reporting signal can be conveniently and subsequently sent to an enterprise data monitoring system according to the reporting delay difference value.
In another embodiment, the detecting whether the reporting update time is less than or equal to a first preset reporting time further includes: and when the reporting updating time is greater than the first preset reporting time, sending a data reporting overtime signal to the enterprise data monitoring system. In this embodiment, the reporting update time is greater than the first preset reporting time, which indicates that the last data update time of the enterprise data exceeds the first preset reporting time, that is, the last reporting time of the enterprise data is greater than the maximum value of the preset reporting time, that is, the last reporting time of the enterprise data is overtime. And at the moment, the enterprise data is continuously reported and updated, but the specified time for reporting and updating is exceeded, so that the situation that the enterprise data is not reported timely is known, and a data reporting overtime signal is sent to an enterprise data monitoring system, so that monitoring personnel of the enterprise data monitoring system can timely know the problem that the enterprise data is not updated timely.
In another embodiment, the detecting whether the reporting update time is greater than or equal to a second first preset reporting time further includes: and when the reporting updating time is less than the second first preset reporting time, sending a data reporting non-starting signal to the enterprise data monitoring system. In this embodiment, the reporting update time is less than the second first preset reporting time, which indicates that the last data update time of the enterprise data does not exceed the second preset reporting time, that is, the last reporting time of the enterprise data is less than the minimum value of the preset reporting times, that is, the last reporting time of the enterprise data is reported in advance. And at the moment, the update reporting time of the enterprise data is not reported within the specified reporting time before the preset reporting time, and a data reporting non-starting signal is sent to the enterprise data monitoring system, so that monitoring personnel of the enterprise data monitoring system can timely know the problem that the enterprise data is not updated in time.
In one embodiment, the adjusting the reporting delay signal sent to the enterprise data monitoring system according to the amount of the reporting delay includes: detecting whether the reporting delay difference is less than or equal to a preset reporting difference; and when the reporting delay difference is smaller than or equal to the preset reporting difference, sending a reporting on-time signal and the enterprise data to the enterprise data monitoring system. In this embodiment, the preset reporting delta is a last allowable reporting time of the reporting update of the enterprise data, that is, the preset reporting delta may be a last reporting update time, or a specified reporting update time plus an extended reporting time, so as to facilitate the extension of the reporting time for a specific reported data or enterprise, so as to ensure that the enterprise data can be updated timely and completely. The reporting delay difference is smaller than or equal to the preset reporting difference, which indicates that the update reporting time of the enterprise data is within the specified reporting time, and at this time, a reporting on-time signal and the enterprise data are sent to the enterprise data monitoring system, wherein the reporting on-time signal and the enterprise data which needs to be reported at this time are included in the reporting on-time signal, so that the enterprise data is updated in time. In another embodiment, when the reporting delay amount is greater than the preset reporting delay amount, a reporting timeout signal is sent to the enterprise data monitoring system, so that monitoring personnel of the enterprise data monitoring system can know the update condition of the enterprise data in time, and the enterprise data within the specified reporting time is sent while the reporting timeout signal is sent.
It should be understood that, although the steps in the flowchart of fig. 1 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 1 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
In one embodiment, the present application further provides an enterprise data collection monitoring apparatus, which is implemented by using the enterprise data collection monitoring method described in any of the above embodiments. In one embodiment, the enterprise data collection monitoring device has functional modules corresponding to the steps of the enterprise data collection monitoring method. The enterprise data collecting and monitoring device comprises an acquisition module, a processing module and a reporting and sending module, wherein:
The acquisition module is used for acquiring the reporting and updating time of the enterprise data;
the processing module is used for carrying out differential processing on the reporting updating time and preset reporting time to obtain a reporting delay difference quantity;
and the reporting and sending module is used for adjusting the reporting quasi-late signal sent to the enterprise data monitoring system according to the reporting delay difference.
In this embodiment, the acquisition module acquires reporting time of the enterprise data in real time, and the processing module compares the reporting time with preset reporting time, that is, compares the reporting time with standard reporting time in sequence, so as to determine when the enterprise data is reported and whether the reporting time is within a specified time period, and then the reporting and sending module adjusts a reporting delay tolerance signal sent to the enterprise data monitoring system according to the value of the reporting delay tolerance, so that reporting and updating time of the enterprise data is determined, and reporting timeliness of the enterprise data is effectively improved.
In one embodiment, the acquisition module is further configured to acquire a plurality of data update times of the enterprise data within a preset time; and collecting the last data updating time and assigning the data updating time as the reporting updating time. In this embodiment, the reporting and updating time of the enterprise data acquired by the acquisition module is updated in real time along with the input of the operation interface, that is, from the beginning of entering the enterprise data to the end of updating the enterprise data by the user, the acquisition module samples the enterprise data, and the sampling period is the preset time. In the preset time, in order to determine the final reporting time of the enterprise data more accurately, the acquisition module needs to update the enterprise data at multiple time points, so that the reporting time of the enterprise data is multiple, and the final reporting time, that is, the reporting update time of the enterprise data, is determined according to the reporting times of the multiple enterprise data. In another embodiment, the data update time is a time node within the preset time, and the preset time is a time in the vicinity of a specified reporting time, for example, the specified reporting time is from 9 to 17 points of a certain day, and the preset time is a plurality of time real-time sampling times of the day. Therefore, reporting and updating time of the enterprise data is collected in the reporting time and the time periods before and after the reporting time, so that the reporting timeliness of the enterprise data can be detected conveniently.
Further, the processing module is further configured to obtain an update time difference value between each data update time and a preset start time; and performing time difference sorting processing on each updating time difference value to obtain a maximum time difference value, and setting the data updating time corresponding to the maximum time difference value as the reporting updating time. In this embodiment, the data update time is collection time for reporting the enterprise data, and after the enterprise data is updated each time, the corresponding update time is the data update time when the enterprise data is reported. The data updating time is changed along with time, and the preset starting time is the reporting initial time specified by the enterprise data, namely the preset starting time is the specified starting time for reporting the enterprise data. The processing module compares the data updating time with a preset starting time, and the obtained updating time difference value is the difference value between the data updating time and the preset starting time, and the updating time difference value is used for reflecting the difference time between the data updating time and the appointed starting time reported by the enterprise data. And then, the processing module performs time difference sorting processing on the updating time difference values, so that the data updating time is subjected to time sorting to determine the sequence of the data updating time. The maximum value existing in the update time difference value is the last reporting time node, that is, the maximum time difference value, and at this time, the data update time corresponding to the maximum time difference value is the final reporting time of the enterprise data, so as to determine the last update time of the enterprise data.
In one embodiment, the processing module is further configured to detect whether the reporting update time is less than or equal to a first preset reporting time; when the reporting updating time is less than or equal to the first preset reporting time, detecting whether the reporting updating time is greater than or equal to a second first preset reporting time; and when the reporting update time is greater than or equal to the second first preset reporting time, calculating a difference value between the reporting update time and the first preset reporting time. In this embodiment, the processing module sets the first preset reporting time and the second preset reporting time as time endpoints of the preset reporting times, that is, the first preset reporting time is a maximum reporting time of the preset reporting times, and the second preset reporting time is a minimum reporting time of the preset reporting times. The report update time is less than or equal to the first preset report time, which indicates that the last data update time of the enterprise data does not exceed the first preset report time, i.e., indicates that the last report time of the enterprise data is less than the maximum value of the preset report time, i.e., the last report time of the enterprise data does not time out. At this time, in order to further ensure that the last update time of the enterprise data is within the preset reporting time, the processing module detects whether the reporting update time is greater than or equal to a second preset reporting time, so as to detect whether the reporting update time is within the preset reporting time, where the reporting update time is greater than or equal to the second preset reporting time, which indicates that the last data update time of the enterprise data exceeds the second preset reporting time, that is, indicates that the last reporting time of the enterprise data is greater than the minimum value of the preset reporting time, that is, the last reporting time of the enterprise data does not have a condition of advanced reporting. In this way, the difference between the last reporting update time of the enterprise data and the first preset reporting time can be used as the reporting delay amount by the processing module, so that the processing module can conveniently determine to send a corresponding reporting signal to an enterprise data monitoring system according to the reporting delay amount in the following process.
In another embodiment, the processing module is further configured to send a data reporting timeout signal to an enterprise data monitoring system when the reporting update time is greater than the first preset reporting time. In this embodiment, the reporting update time is greater than the first preset reporting time, which indicates that the last data update time of the enterprise data exceeds the first preset reporting time, that is, the last reporting time of the enterprise data is greater than the maximum value of the preset reporting time, that is, the last reporting time of the enterprise data is overtime. And the processing module monitors that the enterprise data is continuously reported and updated and exceeds the specified time for reporting and updating, so that the situation that the enterprise data is not reported timely can be known, and the reporting and sending module sends a data reporting overtime signal to an enterprise data monitoring system, so that monitoring personnel of the enterprise data monitoring system can timely know the problem that the enterprise data is not updated timely.
In another embodiment, the processing module is further configured to send a data reporting non-start signal to the enterprise data monitoring system when the reporting update time is less than the second first preset reporting time. In this embodiment, the reporting update time is less than the second first preset reporting time, which indicates that the last data update time of the enterprise data does not exceed the second preset reporting time, that is, the last reporting time of the enterprise data is less than the minimum value of the preset reporting times, that is, the last reporting time of the enterprise data is reported in advance. And the processing module monitors that the update reporting time of the enterprise data is not reported within the specified reporting time before the preset reporting time, and the reporting and sending module sends a data reporting non-start signal to the enterprise data monitoring system, so that monitoring personnel of the enterprise data monitoring system can know the problem that the enterprise data is not updated in time.
In one embodiment, the reporting and sending module is further configured to detect whether the amount of delay difference is less than or equal to a preset reporting difference; and when the reporting delay difference is smaller than or equal to the preset reporting delay difference, sending a reporting on-time signal and the enterprise data to the enterprise data monitoring system. In this embodiment, the preset reporting residual amount set by the reporting and sending module is the last allowable time for reporting and updating the enterprise data, that is, the preset reporting residual amount may be the last time of the specified reporting and updating time, or the specified reporting and updating time plus the extended reporting time, so as to extend the reporting time for the specific reported data or enterprise, thereby ensuring that the enterprise data can be updated in time and completely. And the reporting delay difference is smaller than or equal to the preset reporting delay difference, which indicates that the updating reporting time of the enterprise data is within the specified reporting time, and at the moment, a reporting on-time signal and the enterprise data are sent to the enterprise data monitoring system, wherein the reporting on-time signal and the enterprise data needing to be reported at the moment are contained in the reporting on-time signal, so that the enterprise data is updated in time. In another embodiment, when the reporting delay amount is greater than the preset reporting delay amount, a reporting timeout signal is sent to the enterprise data monitoring system, so that monitoring personnel of the enterprise data monitoring system can know the update condition of the enterprise data in time, and the enterprise data within the specified reporting time is sent while the reporting timeout signal is sent.
For specific limitations of the enterprise data collection and monitoring apparatus, reference may be made to the above limitations of the enterprise data collection and monitoring method, which are not described in detail herein. The modules in the enterprise data collection and monitoring device may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure thereof may be as shown in fig. 2. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing data such as reporting update time and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement an enterprise data collection monitoring method.
Those skilled in the art will appreciate that the architecture shown in fig. 2 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the present application further provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps in the method embodiments when executing the computer program.
In one embodiment, the present application further provides a computer-readable storage medium on which a computer program is stored, which computer program, when executed by a processor, implements the steps in the above-described method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. An enterprise data collection monitoring method, comprising:
acquiring reporting and updating time of enterprise data;
carrying out differential processing on the reporting updating time and a preset reporting time to obtain a reporting delay difference amount;
and adjusting a reporting quasi-delay signal sent to the enterprise data monitoring system according to the reporting delay difference.
2. The method of claim 1, wherein the obtaining of the reporting update time of the enterprise data comprises:
acquiring a plurality of data updating times of the enterprise data within a preset time;
and collecting the last data updating time and assigning the data updating time as the reporting updating time.
3. The method of claim 2, wherein collecting the last update time of the data and assigning the last update time to the reported update time comprises:
Obtaining the updating time difference value of each data updating time and a preset starting time;
and performing time difference sorting processing on each updating time difference value to obtain a maximum time difference value, and setting the data updating time corresponding to the maximum time difference value as the reporting updating time.
4. The method for collecting and monitoring enterprise data according to claim 1, wherein the step of performing difference processing on the reporting update time and a preset reporting time to obtain a reporting delay amount comprises:
detecting whether the reporting update time is less than or equal to a first preset reporting time;
when the reporting updating time is less than or equal to the first preset reporting time, detecting whether the reporting updating time is greater than or equal to a second preset reporting time;
and when the reporting update time is greater than or equal to the second preset reporting time, calculating a difference value between the reporting update time and the first preset reporting time.
5. The method of claim 4, wherein the detecting whether the reporting update time is less than or equal to a first predetermined reporting time further comprises:
and when the reporting updating time is longer than the first preset reporting time, sending a data reporting overtime signal to the enterprise data monitoring system.
6. The method according to claim 4, wherein the detecting whether the reporting update time is greater than or equal to a second first preset reporting time further comprises:
and when the reporting updating time is less than the second first preset reporting time, sending a data reporting non-starting signal to the enterprise data monitoring system.
7. The method for collecting and monitoring enterprise data of claim 1, wherein adjusting the reporting delay-quasi signal sent to the enterprise data monitoring system according to the amount of reporting delay comprises:
detecting whether the reporting delay difference is less than or equal to a preset reporting delay difference;
and when the reporting delay difference is smaller than or equal to the preset reporting delay difference, sending a reporting on-time signal and the enterprise data to the enterprise data monitoring system.
8. An enterprise data collection monitoring apparatus, the apparatus comprising:
the acquisition module is used for acquiring the reporting and updating time of the enterprise data;
the processing module is used for carrying out differential processing on the reporting updating time and the preset reporting time to obtain the reporting delay difference quantity;
and the reporting and sending module is used for adjusting a reporting quasi-delay signal sent to the enterprise data monitoring system according to the delay difference.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
CN202111657503.2A 2021-12-30 2021-12-30 Enterprise data collection monitoring method and device, computer equipment and storage medium Pending CN114679499A (en)

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