CN110969721A - Data processing method, device and equipment and touch screen - Google Patents
Data processing method, device and equipment and touch screen Download PDFInfo
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
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Abstract
The invention relates to a data processing method, a device, equipment and a touch screen, wherein the method comprises the following steps: in the process of outputting the operation data of the equipment, detecting whether the operation data meets a storage condition; if the operating data meet the storage condition, target operating data of a storage time period corresponding to the operating data are obtained; the target operation data is stored, so that the equipment can be monitored by related personnel in real time according to the operation data of the equipment while effective data such as abnormal data and user demand data in the operation process of the equipment are automatically analyzed and stored, and the phenomenon that the effective data such as the abnormal data and the user demand data in the operation process of the equipment are not stored and are lost is avoided. By adopting the technical scheme of the invention, the reliability of the recorded data can be improved, and meanwhile, the occupancy rate of the storage space is reduced.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data processing method, a data processing device, data processing equipment and a touch screen.
Background
The method comprises the following steps that the touch screen of a large unit such as a commercial heating and ventilation device is usually provided with a record of key data in the operation process of the device and used for recording the change condition of the key data; and recording the recording of key event information such as fault alarm and the like for finding problems and recovering in time.
At present, most of data recording modes adopt time as a unit for storage, and data volume needing to be recorded is too large, and the data is usually stored at intervals, so that abnormal data, user demand data and other effective data in the running process of equipment are not stored and lost, and the reliability of recorded data is reduced.
Disclosure of Invention
In view of this, the present invention provides a data processing method, an apparatus, a device and a touch screen to solve the problem of low reliability of recorded data in the prior art.
To achieve the above object, the present invention provides a data processing method, comprising:
in the process of outputting the operation data of the equipment, detecting whether the operation data meets a storage condition;
if the operating data meet the storage condition, target operating data of a storage time period corresponding to the operating data are obtained;
and storing the target operation data.
Further, in the data processing method, the detecting whether the operation data satisfies a storage condition includes:
and if the operation data is matched with preset abnormal data and/or the operation data is matched with preset user-defined data, detecting that the operation data meets the storage condition.
Further, in the data processing method described above, the operation data includes a monitored value of an equipment monitoring parameter; the anomaly data includes an anomaly value for the equipment monitoring parameter;
the detecting that the operational data matches the anomalous data includes:
and if the monitoring value of the equipment monitoring parameter is matched with the abnormal value of the equipment monitoring parameter, detecting that the running data is matched with the abnormal data.
Further, in the data processing method described above, the operation data includes an identifier of monitoring time and/or a device monitoring parameter; the custom data comprises custom monitoring time and/or custom parameter identification;
the detecting that the operational data matches the custom data includes:
and if the monitoring time is matched with the custom monitoring time and/or if the identifier of the equipment monitoring parameter is matched with the identifier of the custom parameter, detecting that the running data is matched with the custom data.
Further, in the data processing method, after the target operation data of the storage period corresponding to the operation data is obtained, the method further includes:
determining an event identifier corresponding to the target operation data according to the incidence relation between preset data and the event identifier;
sequencing all the event identifications according to a preset sequencing rule to obtain sequencing data corresponding to all the event identifications; the sequencing rule comprises at least one of the sequence of the storage time interval, the priority of the running data and the type of the running data;
and storing the sorting data.
Further, the data processing method further includes:
acquiring processing states corresponding to all the event identifications;
and if the target event identifier with the processed state being processed exists in all the event identifiers, performing anti-interference processing on the target event identifier.
Further, in the data processing method, the performing interference-prevention processing on the target event identifier includes:
carrying out tail-setting processing on the target event identifier; and/or
Performing virtualization processing on the target event identifier; and/or
And removing the target event identification.
Further, in the data processing method, after determining the event identifier corresponding to the target operation data according to the association relationship between the preset data and the event identifier, the method further includes:
extracting and storing key information of the target operation data;
associating the event identification with the key information.
Further, in the data processing method, the storing the target operation data includes:
storing the target operation data to a cloud storage device;
correspondingly, the data processing method further comprises the following steps:
and if a detail query request of the event identifier is received, downloading the target operation data from the cloud storage equipment, and locally caching the target operation data.
The present invention also provides a data processing apparatus comprising:
the detection module is used for detecting whether the operating data meet the storage condition or not in the process of outputting the operating data of the equipment;
the acquisition module is used for acquiring target operation data of a storage time period corresponding to the operation data if the operation data meets the storage condition;
and the storage module is used for storing the target operation data.
The present invention also provides a data processing apparatus, characterized by comprising: a processor and a memory;
the processor is connected with the memory:
the processor is used for calling and executing the program stored in the memory;
the memory is used for storing the program, and the program is at least used for executing the data processing method.
The invention also provides a touch screen which is provided with the data processing equipment.
According to the data processing method, the data processing device, the equipment and the touch screen, in the process of outputting the operation data of the equipment, whether the operation data meets the storage condition is detected, if the operation data of the equipment meets the storage condition, the target operation data in the storage time period corresponding to the operation data of the equipment is acquired and then stored, so that the equipment can be monitored in real time according to the operation data of the equipment by related personnel while effective data such as abnormal data and user demand data in the operation process of the equipment are automatically analyzed and stored, and the phenomenon that the effective data such as the abnormal data and the user demand data in the operation process of the equipment are lost due to the fact that the effective data are not stored is avoided. By adopting the technical scheme of the invention, the reliability of the recorded data can be improved, and meanwhile, the occupancy rate of the storage space is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a first embodiment of a data processing method according to the present invention;
FIG. 2 is a flowchart of a second embodiment of a data processing method according to the present invention;
FIG. 3 is a schematic diagram of a first embodiment of data processing according to the present invention;
FIG. 4 is a schematic diagram of a second embodiment of the data processing system of the present invention;
FIG. 5 is a schematic diagram of the data processing structure of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
Fig. 1 is a flowchart of a first embodiment of a data processing method according to the present invention, and as shown in fig. 1, the data processing method of this embodiment may specifically include the following steps:
100. detecting whether the operating data meets a storage condition or not in the process of outputting the operating data of the equipment;
in this embodiment, various sensors can be used to collect the operation data of the device, and the operation data of the device is output through the touch screen of the device, so that the relevant personnel can monitor the device in real time according to the operation data of the device, and the relevant personnel can find and solve problems in time. However, in practical applications, because relevant personnel cannot watch the operation data of the output device before the touch screen, the operation data of the output device needs to be recorded and stored, so that the relevant personnel can check the operation data of the output device in the following process, and the phenomenon that no problem is found is reduced. Among them, the present embodiment is preferably the operation data of the output prevention device output by using a curve.
However, since the storage space for storing the operation data of the device is limited, if the operation data of all the devices is stored, a large storage space is occupied, and if the operation data of the device is stored according to the interval time, the occupied storage space is also large, and the loss of the effective data such as abnormal data and user demand data in the operation process of the device can be caused due to the fact that the effective data is not stored.
In a specific implementation process, whether the operation data meets the storage condition or not may be detected in the process of outputting the operation data of the device. Specifically, whether the operation data of the device is matched with preset abnormal data and/or preset custom data or not can be detected respectively; if the running data of the equipment is matched with the preset abnormal data and/or the running data of the equipment is matched with the preset custom data, the running data of the equipment is detected to meet the storage condition; and if the operating data of the equipment is not matched with the preset abnormal data and/or if the operating data of the equipment is not matched with the preset custom data, detecting that the operating data of the equipment does not meet the storage condition.
In one aspect, the operational data of the device may include monitored values of device monitoring parameters; the corresponding anomaly data includes an anomaly value of the equipment monitoring parameter. Thus, if the monitored value of the equipment monitoring parameter matches the abnormal value of the equipment monitoring parameter, it is detected that the operation data matches the abnormal data, otherwise, if the monitored value of the equipment monitoring parameter does not match the abnormal value of the equipment monitoring parameter, it is detected that the operation data of the equipment does not match the abnormal data. For example, the abnormal value of the equipment monitoring parameter is preferably a value in the range of 0 to 2, and if the monitored value of the equipment monitoring parameter is 1, the monitored value of the equipment monitoring parameter matches the abnormal value of the equipment monitoring parameter, and the running data matches the abnormal data, and if the monitored value of the equipment monitoring parameter is 3, the monitored value of the equipment monitoring parameter does not match the abnormal value of the equipment monitoring parameter, and the running data matches the abnormal data.
On the other hand, the operation data of the equipment can also comprise monitoring time and/or identification of equipment monitoring parameters; correspondingly, the custom data includes custom monitoring times and/or an identification of custom parameters. Thus, if the obtained monitoring time matches the custom monitoring time, and/or if the obtained identifier of the device monitoring parameter matches the identifier of the custom parameter, it is detected that the operating data of the device matches the custom data; and if the acquired monitoring time is not matched with the custom monitoring time, and/or if the acquired identifier of the equipment monitoring parameter is not matched with the identifier of the custom parameter, detecting that the running data is not matched with the custom data. For example, the custom monitoring time is 9 to 10 points per day, so that the monitoring time within 9 to 10 points detects that the operating data of the equipment is matched with the custom data; monitoring times other than 9 o 'clock to 10 o' clock detect that the operational data of the device does not match the custom data. For another example, if the identifier of the device monitoring parameter is current and the identifier of the custom parameter is current, the identifier of the device monitoring parameter matches the identifier of the custom parameter, thereby detecting that the operating data matches the custom data; if the identifier of the device monitoring parameter is current and the identifier of the custom parameter is voltage, the identifier of the device monitoring parameter is not matched with the identifier of the custom parameter, and thus the operating data is detected to be not matched with the custom data.
101. If the operating data of the equipment meets the storage condition, acquiring target operating data of a storage time period corresponding to the operating data of the equipment;
in order to facilitate the analysis of the operation information of the device by the relevant person according to the stored data, it is necessary to analyze the operation information according to the data within a period of time, so in this embodiment, a time period including the time may be preset as a storage time period for the time at which the data needs to be stored, and thus, if the operation data of the device meets the storage condition, the target operation data of the storage time period corresponding to the operation data of the device is obtained. For example, 10s before and after the time when data needs to be stored each time may be set as the storage period, so that if the operation data of the devices satisfy the storage condition, the operation data of all the devices in the storage period of 10s before and 10s after the time may be acquired as the target operation data.
102. And storing the target operation data.
In this embodiment, after the target operation data of the storage period corresponding to the operation data of the device is obtained, the target operation data may be stored, so that when the operation data of the output device enables related personnel to monitor the device in real time, only the abnormal data in the operation process of the device, the user's demand data and other effective data are recorded and stored, all data do not need to be recorded, and the phenomenon that data corresponding to a time other than a set period is lost due to only recording the data corresponding to the set period is also avoided.
According to the data processing method, in the process of outputting the operation data of the equipment, whether the operation data meet the storage condition is detected, if the operation data of the equipment meet the storage condition, the target operation data in the storage time period corresponding to the operation data of the equipment are acquired and then stored, so that the abnormal data, the user demand data and other effective data in the operation process of the equipment are automatically analyzed and stored, meanwhile, related personnel can monitor the equipment in real time according to the operation data of the equipment, and the phenomenon that the abnormal data, the user demand data and other effective data in the operation process of the equipment are not stored and are lost is avoided. By adopting the technical scheme of the invention, the reliability of the recorded data can be improved, and meanwhile, the occupancy rate of the storage space is reduced.
In practical application, in order to clearly and concisely enable related personnel to know the running information of the equipment, when the equipment has an event such as an abnormality, a condition that the related personnel need to pay attention to and the like, the event needs to be recorded, generally, event recording modes mostly adopt accumulated records of event information, new information records can automatically appear in the front, old information records can be submerged in the latter records, and thus, the recorded information corresponding to some unprocessed events is difficult to search. Therefore, the invention also provides the following technical scheme.
Fig. 2 is a flowchart of a second embodiment of the data processing method of the present invention, and as shown in fig. 2, the data processing method of this embodiment further describes the technical solution of the present invention on the basis of the above embodiment. As shown in fig. 2, the data processing method of this embodiment may specifically include the following steps:
200. detecting whether the operating data meets a storage condition or not in the process of outputting the operating data of the equipment; if yes, executing step 201, otherwise, returning to step 200;
the implementation process of this embodiment is the same as the implementation process of step 100 in the above embodiment, and please refer to the above related description for details, which is not repeated herein.
201. Acquiring target operation data of a storage period corresponding to the operation data of the equipment;
the implementation process of this embodiment is the same as the implementation process of step 101 in the above embodiment, and please refer to the above related description for details, which is not repeated herein.
202. Determining an event identifier corresponding to the target operation data according to the incidence relation between the preset data and the event identifier;
in this embodiment, the operation condition of the device reflected by the operation data of different devices may be counted according to actual experience, the operation condition of the device may be located as an event in the operation process of the device, and a corresponding event identifier may be set for each event, so that an association relationship between the data and the event identifier may be constructed. For example, the event identifier corresponding to the unit fault event is 1, and the event identifier corresponding to the communication fault event is 2. Therefore, after the target data is acquired, the event identifier corresponding to the target operation data can be determined according to the preset incidence relation between the data and the event identifier.
203. Sequencing all event identifications according to a preset sequencing rule to obtain sequencing data corresponding to all event identifications;
specifically, the sorting rule in this embodiment includes at least one of a sequence of the storage periods, a priority of the target operation data, and a type of the target operation data. All event identifications can be sequenced according to the sequencing rule to obtain sequencing data corresponding to all event identifications.
For example, all event identifiers may be sorted according to the time sequence, or a corresponding priority may be set according to the importance of each event, so that all event identifiers may be sorted according to the priority of the target operation data, each event may be classified in advance, and all event identifiers may be sorted according to the type of the target operation data. One of the three rules may be selected, or all event identifiers may be sorted after being combined at will, which is not limited in this embodiment specifically, and the sorting rule of this embodiment is not limited to the above 3 manners.
204. Storing the sequencing data and the target operation data;
after the sorting data corresponding to all the event identifications are obtained, the obtained sorting data can be stored. In addition, the acquired target operation data can be stored.
When the target operation data is stored, the execution sequence has no precedence relationship with the storage sorting data, and also has no precedence relationship with step 203 and step 204.
205. Acquiring processing states corresponding to all event identifications;
206. and if the target event identifier with the processed state being processed exists in all the event identifiers, performing anti-interference processing on the target event identifier.
In order to prevent that a new information record will automatically appear in the front and an old information record will be submerged in the latter record, which results in that the record information corresponding to some unprocessed events is difficult to find, in this embodiment, the processing states corresponding to all event identifiers may be obtained. For example, after learning each event, the relevant person may process the corresponding event, and after the processing is completed, the processed feedback information may be uploaded, so that the processing state at each time may be acquired. Or after the relevant personnel finish the processing, in the normal operation of the device, it is detected that the event has operated according to normal data, at this time, it may be determined that the event has been processed, and thus, the processing state at each time may also be obtained. In this way, if it is detected that the target event identifier with the processed state being the processed target event identifier exists in all the event identifiers, the interference-proof processing can be performed on the processed target event identifier, so that the event with the processed state and the event with the unprocessed state can be distinguished, the old information record (especially the event with the unprocessed state) can be prevented from being submerged in the subsequent record, and the record information corresponding to the event with the unprocessed state is prevented from being difficult to search.
Specifically, in this implementation, the processed target event identifier may be subjected to tail-end processing, for example, the processed target event identifier may be moved backward to the back of all unprocessed events, or may be moved to the back of all data. The processed target event flag may be blurred and displayed by blurring the processed target event flag, for example, by blurring the processed target event flag (e.g., reducing the gray scale). The target event identifier may also be removed, for example, the processed target event identifier is deleted from all data, or the processed target event identifier is moved out to a separate storage unit. The three processing modes may be used individually or in combination, and this embodiment is not limited specifically. For example, the processed target event identifier and the unprocessed target event identifier may be differentiated by different colors, and the processed target event identifier may be reduced.
According to the data processing method, the acquired target data are converted into the event identifications, all the event identifications are sorted and stored, and the processed event identifications are subjected to anti-interference processing, so that the relevant personnel can clearly and concisely know the running information of the equipment, the old information record can be prevented from being submerged in the subsequent record, the record information corresponding to the event in an unprocessed state is prevented from being difficult to search, and the searching efficiency is improved.
In a specific implementation process, in order to further save the storage space and reasonably utilize the storage space, in this embodiment, after "determining the event identifier corresponding to the target operation data according to the association relationship between the preset data and the event identifier" in step 202, the following steps may also be performed;
a. extracting and storing key information of target operation data;
in general, the relevant personnel can acquire the operation information of the device only according to some specific contents, and thus, if all the contents of the target operation data are stored, a large storage space is still occupied, so in the embodiment, the specific contents of the operation information of the device, which can be acquired by the relevant personnel, can be collected as the key information according to actual experience and requirements, and thus, the key information of the target operation data can be extracted and stored from the target operation data, so that the relevant personnel can acquire the operation information of the device without looking up all the contents of the target operation data.
b. Associating the event identification with the target operational data;
in this embodiment, after the key information of the target operation data is extracted, the event identifier may be associated with the key information of the target operation data, so that the event identifier and the key information of the target operation data are simultaneously output, and it is avoided that relevant personnel can acquire the device operation information according to the detailed content of the target operation data, thereby improving the speed of enabling the relevant personnel to acquire the device operation information.
For example, "the unit fault 1+ the current 100A" may be output at the same time, so that, since the related personnel can know that the rated current of the device operation is 10A, the current can reach 100A only when a short circuit occurs, and thus, the related personnel can quickly judge that the unit fault is caused by the short circuit, and thus, analysis is not needed according to the detailed content of the operation data.
c. Storing the target operation data to a cloud storage device;
in this embodiment, although the operation information of the device can be obtained according to the key information of some target operation data, a situation that detailed content needs to be checked still exists, and in order to save a local storage space, in this embodiment, a cloud storage device may be provided, so that the target operation data may be stored in the cloud storage device.
d. And if a detail query request of the event identifier is received, downloading target operation data from the cloud storage device, and locally caching the target operation data.
If the related personnel need to check the detailed content of the target operation data, the detail query request of the event identifier can be input, so that the target operation data is downloaded from the cloud storage device and is locally cached if the detail query request of the event identifier is received. And after the relevant personnel finish checking, or the time for local caching of the target operation data reaches the preset time, deleting the target operation data from the local.
It should be noted that, in this embodiment, before storing the target operation data in the cloud storage device, the target operation data needs to be compressed, and category labeling is performed on the target operation data, so that the cloud storage device can store the target operation data in the storage area divided in the cloud storage device corresponding to the category of the target operation data according to the category of the target operation data, and thus, when downloading the target operation data from the cloud storage device, the cloud storage device only needs to traverse the storage area corresponding to the category of the target operation data, and does not need to traverse all the storage areas, so that the download rate is increased, and meanwhile, the storage space of the cloud storage device is saved. In addition, the compression and classification of the target operation data may also be processed by the cloud storage device, which is not specifically limited in this embodiment.
In order to be more comprehensive, the application also provides a data processing device corresponding to the data processing method provided by the embodiment of the invention. Fig. 3 is a schematic structural diagram of a first data processing embodiment of the present invention, and as shown in fig. 3, the data processing apparatus of this embodiment includes a detection module 10, an acquisition module 11, and a storage module 12.
The detection module 10 is used for detecting whether the operation data meets the storage condition in the process of outputting the operation data of the equipment;
in a specific implementation process, the detection module 10 is specifically configured to detect that the operation data meets the storage condition if the operation data is detected to be matched with the preset abnormal data and/or if the operation data is detected to be matched with the preset custom data.
Specifically, in one aspect, the operational data includes monitored values of equipment monitoring parameters; the anomaly data includes an anomaly value of the equipment monitoring parameter; and if the monitoring value of the equipment monitoring parameter is matched with the abnormal value of the equipment monitoring parameter, detecting that the operation data is matched with the abnormal data. In another aspect, the operational data includes an identification of a monitoring time and/or a device monitoring parameter; the custom data comprises custom monitoring time and/or custom parameter identification; if the monitoring time matches the custom monitoring time, and/or if the identity of the device monitoring parameter matches the identity of the custom parameter, it is detected that the operational data matches the custom data.
The obtaining module 11 is configured to obtain target operation data of a storage period corresponding to the operation data if the operation data meets the storage condition;
and the storage module 12 is used for storing the target operation data.
The data processing device of the embodiment, in the process of outputting the operation data of the equipment, whether the operation data meets the storage condition is detected, if the operation data of the equipment meets the storage condition, the target operation data is stored after the target operation data of the storage time period corresponding to the operation data of the equipment is acquired, automatic analysis is realized, and the abnormal data and the user demand data in the operation process of the equipment are stored, meanwhile, related personnel can monitor the equipment in real time according to the operation data of the equipment, and the phenomenon that the abnormal data and the user demand data in the operation process of the equipment are lost due to the fact that the effective data are not stored is avoided. By adopting the technical scheme of the invention, the reliability of the recorded data can be improved, and meanwhile, the occupancy rate of the storage space is reduced.
Fig. 4 is a schematic structural diagram of a second data processing embodiment of the present invention, and as shown in fig. 4, the data processing apparatus of this embodiment may further include a determining module 13 and a sorting module 14 on the basis of the above embodiments.
The determining module 13 is configured to determine an event identifier corresponding to the target operating data according to a preset association relationship between the data and the event identifier;
the sorting module 14 is configured to sort all the event identifiers according to a preset sorting rule to obtain sorting data corresponding to all the event identifiers; the sequencing rule comprises at least one of the sequence of the storage time interval, the priority of the operation data and the type of the operation data;
the storage module 12 is also used for storing the sorting data.
Further, as shown in fig. 4, the data processing apparatus of the present embodiment may further include an interference prevention module 15.
The anti-interference module 15 is configured to obtain processing states corresponding to all event identifiers; and if the target event identifier with the processed state being processed exists in all the event identifiers, performing anti-interference processing on the target event identifier. Specifically, the target event identifier may be subjected to tail-setting processing; and/or performing virtualization processing on the target event identifier; and/or removing the target event identification.
The data processing device of the embodiment converts the acquired target data into the event identifiers, sorts and stores all the event identifiers, and performs anti-interference processing on the processed event identifiers, so that clear and concise information for related personnel to know the operation of equipment is realized, the old information record is prevented from being submerged in the subsequent record, the record information corresponding to the event in an unprocessed state is prevented from being difficult to search, and the searching efficiency is improved.
As shown in fig. 4, the data processing apparatus of the present embodiment may further include an association module 16.
And the association module 16 is used for extracting and storing key information of the target operation data and associating the event identification with the key information.
Further, in the foregoing embodiment, the storage module 12 is specifically configured to store the target operation data in the cloud storage device.
As shown in fig. 4, the data processing apparatus of the present embodiment may further include a download module 17.
And the downloading module 17 is configured to, if a detail query request of the event identifier is received, download the target operation data from the cloud storage device, and locally cache the target operation data.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
In order to be more comprehensive, the application also provides data processing equipment corresponding to the data processing method provided by the embodiment of the invention. Fig. 5 is a schematic structural diagram of data processing of the present invention, and as shown in fig. 5, the data processing of the present embodiment may include a processor 20 and a memory 21;
the processor 20 is connected to a memory 21:
wherein, the processor 20 is configured to call and execute the program stored in the memory 21;
the memory 21 is configured to store the program, and the program is at least configured to execute the data processing method shown in the above embodiment.
In order to be more comprehensive, the application also provides a touch screen corresponding to the data processing method provided by the embodiment of the invention. The touch screen is provided with the data processing equipment of the embodiment.
In order to be more comprehensive, corresponding to the data processing method provided by the embodiment of the invention, the application also provides a storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps of the data processing method of the above embodiment are realized.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (12)
1. A data processing method, comprising:
in the process of outputting the operation data of the equipment, detecting whether the operation data meets a storage condition;
if the operating data meet the storage condition, target operating data of a storage time period corresponding to the operating data are obtained;
and storing the target operation data.
2. The data processing method of claim 1, wherein the detecting whether the operating data meets a storage condition comprises:
and if the operation data is matched with preset abnormal data and/or the operation data is matched with preset user-defined data, detecting that the operation data meets the storage condition.
3. The data processing method of claim 2, wherein the operational data comprises monitored values of equipment monitoring parameters; the anomaly data includes an anomaly value for the equipment monitoring parameter;
the detecting that the operational data matches the anomalous data includes:
and if the monitoring value of the equipment monitoring parameter is matched with the abnormal value of the equipment monitoring parameter, detecting that the running data is matched with the abnormal data.
4. A data processing method according to claim 2, wherein the operational data comprises an identification of a monitoring time and/or a device monitoring parameter; the custom data comprises custom monitoring time and/or custom parameter identification;
the detecting that the operational data matches the custom data includes:
and if the monitoring time is matched with the custom monitoring time and/or if the identifier of the equipment monitoring parameter is matched with the identifier of the custom parameter, detecting that the running data is matched with the custom data.
5. The data processing method according to claim 1, wherein after the target operation data of the storage period corresponding to the operation data is obtained, the method further comprises:
determining an event identifier corresponding to the target operation data according to the incidence relation between preset data and the event identifier;
sequencing all the event identifications according to a preset sequencing rule to obtain sequencing data corresponding to all the event identifications; the sequencing rule comprises at least one of the sequence of the storage time interval, the priority of the running data and the type of the running data;
and storing the sorting data.
6. The data processing method of claim 5, further comprising:
acquiring processing states corresponding to all the event identifications;
and if the target event identifier with the processed state being processed exists in all the event identifiers, performing anti-interference processing on the target event identifier.
7. The data processing method according to claim 6, wherein the performing interference-proof processing on the target event identifier includes:
carrying out tail-setting processing on the target event identifier; and/or
Performing virtualization processing on the target event identifier; and/or
And removing the target event identification.
8. The data processing method according to claim 5, wherein after determining the event identifier corresponding to the target operation data according to the association relationship between the preset data and the event identifier, the method further comprises:
extracting and storing key information of the target operation data;
associating the event identification with the key information.
9. The data processing method of claim 8, wherein the storing the target operational data comprises:
storing the target operation data to a cloud storage device;
correspondingly, the data processing method further comprises the following steps:
and if a detail query request of the event identifier is received, downloading the target operation data from the cloud storage equipment, and locally caching the target operation data.
10. A data processing apparatus, comprising:
the detection module is used for detecting whether the operating data meet the storage condition or not in the process of outputting the operating data of the equipment;
the acquisition module is used for acquiring target operation data of a storage time period corresponding to the operation data if the operation data meets the storage condition;
and the storage module is used for storing the target operation data.
11. A data processing apparatus, characterized by comprising: a processor and a memory;
the processor is connected with the memory:
the processor is used for calling and executing the program stored in the memory;
the memory for storing the program for performing at least the data processing method of any one of claims 1 to 9.
12. A touch screen, characterized in that a data processing device according to claim 11 is provided.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114495316A (en) * | 2022-02-15 | 2022-05-13 | 北京半导体专用设备研究所（中国电子科技集团公司第四十五研究所） | Data monitoring method and device for precision motion platform |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103036913A (en) * | 2011-09-29 | 2013-04-10 | 艾默生网络能源有限公司 | Mobile terminal power and environment monitoring method and system and mobile terminal proxy server |
| CN103062835A (en) * | 2013-01-31 | 2013-04-24 | 天津市热电设计院 | Heat anomaly state monitoring system and heat anomaly state monitoring method for centralized heating pipe network |
| CN107679713A (en) * | 2017-09-16 | 2018-02-09 | 广西电网有限责任公司电力科学研究院 | A kind of power transmission and transformation equipment state alert processing method |
| CN108022077A (en) * | 2017-10-26 | 2018-05-11 | 努比亚技术有限公司 | One kind reminds item processing method, terminal and computer-readable recording medium |
| CN109978180A (en) * | 2017-12-26 | 2019-07-05 | 三星电子株式会社 | Method and apparatus of the management for the operation data of the electric appliance of failure predication |
| DE202019104024U1 (en) * | 2019-07-20 | 2019-08-26 | Foshan Shike Intelligent Technology co. LTD | Intelligent maintenance device and compensation system for processing devices of flexible materials |
-
2019
- 2019-10-18 CN CN201910992866.8A patent/CN110969721A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103036913A (en) * | 2011-09-29 | 2013-04-10 | 艾默生网络能源有限公司 | Mobile terminal power and environment monitoring method and system and mobile terminal proxy server |
| CN103062835A (en) * | 2013-01-31 | 2013-04-24 | 天津市热电设计院 | Heat anomaly state monitoring system and heat anomaly state monitoring method for centralized heating pipe network |
| CN107679713A (en) * | 2017-09-16 | 2018-02-09 | 广西电网有限责任公司电力科学研究院 | A kind of power transmission and transformation equipment state alert processing method |
| CN108022077A (en) * | 2017-10-26 | 2018-05-11 | 努比亚技术有限公司 | One kind reminds item processing method, terminal and computer-readable recording medium |
| CN109978180A (en) * | 2017-12-26 | 2019-07-05 | 三星电子株式会社 | Method and apparatus of the management for the operation data of the electric appliance of failure predication |
| DE202019104024U1 (en) * | 2019-07-20 | 2019-08-26 | Foshan Shike Intelligent Technology co. LTD | Intelligent maintenance device and compensation system for processing devices of flexible materials |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114495316A (en) * | 2022-02-15 | 2022-05-13 | 北京半导体专用设备研究所（中国电子科技集团公司第四十五研究所） | Data monitoring method and device for precision motion platform |
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