CN109787829B - Method and device for generating information - Google Patents
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- CN109787829B CN109787829B CN201910053981.9A CN201910053981A CN109787829B CN 109787829 B CN109787829 B CN 109787829B CN 201910053981 A CN201910053981 A CN 201910053981A CN 109787829 B CN109787829 B CN 109787829B
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Abstract
The embodiment of the disclosure discloses a method and a device for generating information. One embodiment of the method comprises: performing data processing on information to be processed sent by local equipment to obtain result information corresponding to the information to be processed, wherein the result information comprises at least one parameter; and generating alarm information corresponding to the result information in response to the fact that the parameter value of the parameter in the at least one parameter is larger than the corresponding alarm threshold value, and sending the alarm information to the cloud. The implementation mode improves the processing efficiency of the local information to be processed and improves the timeliness and effectiveness of data transmission.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a method and a device for generating information.
Background
With the development of science and technology, many devices and control terminals can be located in different geographic spaces, so that a worker can remotely control the devices. In order to monitor the working state of the equipment, the equipment can send the working state information to a remote control end through a network, so that the control end can timely acquire the working state of the equipment, and the equipment can be effectively controlled by workers.
Disclosure of Invention
The embodiment of the disclosure provides a method and a device for generating information.
In a first aspect, an embodiment of the present disclosure provides a method for generating information, the method including: performing data processing on information to be processed sent by local equipment to obtain result information corresponding to the information to be processed, wherein the result information comprises at least one parameter; and responding to the condition that the parameter value of the parameter in the at least one parameter is larger than the corresponding alarm threshold value, generating alarm information corresponding to the result information, and sending the alarm information to the cloud.
In some embodiments, the above method further comprises: and receiving feedback information corresponding to the alarm information sent by the cloud, and generating a control instruction for controlling the local device according to the feedback information.
In some embodiments, the above method further comprises: and in response to the parameter value of the parameter in the at least one parameter not being greater than the corresponding alarm threshold value, adding the result information to a result information set.
In some embodiments, the above method further comprises: sorting the result information in the result information set according to a set condition to obtain a result information sequence, wherein the set condition comprises at least one of the following items: time stamp and parameter value; and setting time period at intervals, setting the result information of the preset number in the result information sequence as target result information, and uploading the target result information.
In a second aspect, an embodiment of the present disclosure provides an apparatus for generating information, the apparatus including: the device comprises a result information acquisition unit, a processing unit and a processing unit, wherein the result information acquisition unit is configured to perform data processing on information to be processed sent by local equipment to obtain result information corresponding to the information to be processed, and the result information comprises at least one parameter; and the alarm information generating unit is used for responding to the condition that the parameter value of the parameter in the at least one parameter is larger than the corresponding alarm threshold value, generating alarm information corresponding to the result information and sending the alarm information to the cloud.
In some embodiments, the above apparatus further comprises: and the feedback information receiving unit is configured to receive feedback information corresponding to the alarm information sent by the cloud, and generate a control instruction for controlling the local device according to the feedback information.
In some embodiments, the above apparatus further comprises: and the result information storage unit is used for responding to the condition that the parameter value of the parameter in the at least one parameter is not larger than the corresponding alarm threshold value and adding the result information to the result information set.
In some embodiments, the above apparatus further comprises: a result information sequence generating unit configured to sort the result information in the result information set according to a set condition to obtain a result information sequence, wherein the set condition includes at least one of the following: time stamp and parameter value taking; and a target result information uploading unit configured to set a previously set number of pieces of result information in the sequence of result information as target result information at set time intervals, and upload the target result information.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including: one or more processors; a memory having one or more programs stored thereon, which when executed by the one or more processors, cause the one or more processors to perform the method for generating information of the first aspect.
In a fourth aspect, an embodiment of the present disclosure provides a computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method for generating information of the first aspect described above.
The method and the device for generating information provided by the embodiment of the disclosure firstly carry out data processing on information to be processed sent by local equipment to obtain result information corresponding to the information to be processed, wherein the result information comprises at least one parameter; and then, when the parameter value of the parameter in at least one parameter is larger than the corresponding alarm threshold value, generating alarm information corresponding to result information, and sending the alarm information to the cloud. According to the technical scheme, the information to be processed of the local equipment is subjected to data processing to obtain result information, so that the processing efficiency of the local information to be processed is improved; when the result information contains the parameter larger than the alarm threshold value, alarm information is generated and sent to the cloud, so that the data transmission quantity of the network is reduced, and the timeliness and the effectiveness of data transmission are improved.
Drawings
Other features, objects and advantages of the disclosure will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which one embodiment of the present disclosure may be applied;
FIG. 2 is a flow diagram for one embodiment of a method for generating information, according to the present disclosure;
FIG. 3 is a schematic diagram of one application scenario of a method for generating information according to the present disclosure;
FIG. 4 is a flow diagram of yet another embodiment of a method for generating information according to the present disclosure;
FIG. 5 is a schematic block diagram illustrating one embodiment of an apparatus for generating information according to the present disclosure;
FIG. 6 is a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure.
Detailed Description
The present disclosure is described in further detail below with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 illustrates an exemplary system architecture 100 of a method for generating information or an apparatus for generating information to which embodiments of the present disclosure may be applied.
As shown in fig. 1, system architecture 100 may include edge computing devices 101, 102, 103, a network 104, and a cloud 105. Network 104 is used to provide a medium for communication links between edge computing devices 101, 102, 103 and cloud 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
Edge computing refers to an open platform integrating network, computing, storage and application core capabilities at one side close to an object or a data source to provide nearest-end services nearby. The application program is initiated at the edge side, so that a faster network service response is generated, and the basic requirements of the industry in the aspects of real-time business, application intelligence, safety, privacy protection and the like are met. Edge computing devices (i.e., devices that deploy edge computing, which may also be referred to as brokers) have partial cloud computing capabilities and are therefore capable of providing the same or similar data processing services as cloud computing.
The edge computing devices 101, 102, 103 interact with the cloud 105 over the network 104 to receive or send messages, etc. The edge computing devices 101, 102, 103 may have installed thereon various data processing applications, such as an image acquisition application, an image analysis application, a temperature analysis application, a humidity analysis application, a soil analysis application, an unmanned aerial vehicle control application, an unmanned vehicle control application, and the like. The edge computing devices 101, 102, 103 may be servers that provide various data processing services, such as receiving information to be processed from a local information sending end (e.g., various sensors) and performing data processing on the information to be processed. The server can receive the information to be processed sent by the information sending end, perform data processing on the information to be processed to obtain result information and realize local processing of the information to be processed; when the parameter in the result information exceeds the alarm threshold, alarm information is generated and sent to the remote cloud 105.
The edge computing devices 101, 102, 103 may be hardware or software. When the edge computing devices 101, 102, 103 are hardware, they may be a variety of electronic devices having a display screen and supporting data processing, including but not limited to tablet computers, laptop portable computers, desktop computers, and the like. When the edge computing devices 101, 102, 103 are software, they may be installed in the electronic devices listed above. It may be implemented as a plurality of software or software modules (for example, for providing distributed services), or as a single software or software module, which is not specifically limited herein.
Cloud 105 may be a network that provides cloud computing. Cloud 105 may interact with edge computing devices 101, 102, 103 through network 104. Such as a server that processes the alarm information sent from the edge computing devices 101, 102, 103. The server may perform processing such as analysis on the received data such as the alarm information and feed back the processing result (e.g., feedback information) to the edge computing devices 101, 102, 103.
It should be noted that the method for generating information provided by the embodiment of the present disclosure is generally performed by the edge computing devices 101, 102, 103, and accordingly, the apparatus for generating information is generally disposed in the edge computing devices 101, 102, 103.
It should be noted that the cloud 105 may be hardware or software. When the cloud 105 is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the cloud 105 is software, it may be implemented as a plurality of software or software modules (for example, to provide distributed services), or may be implemented as a single software or software module, which is not specifically limited herein.
It should be understood that the number of edge computing devices, networks, and clouds in fig. 1 is merely illustrative. There may be any number of edge computing devices, networks, and cloud ends, as desired for implementation.
With continued reference to FIG. 2, a flow 200 of one embodiment of a method for generating information in accordance with the present disclosure is shown. The method for generating information comprises the following steps:
In this embodiment, the execution subject of the method for generating information (e.g., the edge computing devices 101, 102, 103 shown in fig. 1) may receive the information to be processed from the local device by a wired connection or a wireless connection. The local device of this embodiment is a device located in the same geographical area as the execution subject of this embodiment, or is close to the execution subject of this embodiment, and has a low data transmission requirement, even the device can transmit data with the execution subject of this embodiment without a network. It should be noted that the wireless connection means may include, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection means now known or developed in the future.
In the prior art, in order to effectively process the operating data generated by the device, the operating data needs to be sent to the cloud end so as to process the operating data by utilizing the powerful data processing capability of the cloud end. In practice, the operation data generated by the device is often very large in data volume, which not only occupies a large amount of storage space, but also has high requirements on the bandwidth and stability of the network. Various factors can cause interference to network transmission, so that the stability of the network during data transmission is not high, the cloud end is difficult to acquire running data in time, and the timeliness and effectiveness of the cloud end on equipment control are reduced.
Therefore, when receiving the to-be-processed information sent by the local device, the execution main body of the embodiment can timely and effectively perform data processing on the to-be-processed information. The execution main body directly obtains the result information locally after performing data processing on the information to be processed, reduces the requirements on network bandwidth and network stability in the data processing process of the information to be processed, and improves the data processing efficiency of the information to be processed. In general, the information to be processed includes various data during the operation of the local device, and these data can represent the data processing state of various applications running on the local device, or the working state of the local device itself. When the execution main body performs data processing on the information to be processed, parameters corresponding to various data are generated. That is, the result information may include at least one parameter. Different parameters may characterize different operational indicators.
The step 201 described above can make the information to be processed of the local device complete the data processing directly at the local of the execution main body. However, when the parameter value of the parameter included in the result information is greater than the alarm threshold, a related technician or a more complex application is required to perform the analysis. At this time, the execution subject may generate alarm information corresponding to the result information and send the alarm information to the cloud 105. Generally, the amount of alarm information is small, and the bandwidth and stability of the network are not high. And, the execution subject sends the alarm information to the cloud 105 for data processing only when the alarm information is generated, and when there is no alarm information, all data processing is performed locally at the execution subject. Therefore, the processing efficiency of the local information to be processed is improved, the data transmission quantity of the network is reduced, and the timeliness and effectiveness of data transmission are improved. The alarm information may include result information itself, and may also include information such as alarm level, which is determined according to actual needs.
In some optional implementations of this embodiment, the method may further include: and receiving feedback information corresponding to the alarm information sent by the cloud, and generating a control instruction for controlling the local device according to the feedback information.
After the execution subject sends the alarm information to the cloud terminal 105, the cloud terminal 105 may send feedback information corresponding to the alarm information. The feedback information may be used to instruct the execution body to perform the relevant operation. The execution main body can generate a control instruction for controlling the local device according to the feedback information, and control the local device according to the control instruction. The timeliness and effectiveness of the cloud 105 in controlling the local device is improved.
With continued reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of the method for generating information according to the present embodiment. In the application scenario of fig. 3, the edge computing device 103 performs data processing on information to be processed sent from the local device to obtain result information; and generating alarm information when the parameter value of the parameter contained in the result information exceeds an alarm threshold value, and sending the alarm information to the cloud.
The method provided by the above embodiment of the present disclosure first performs data processing on information to be processed sent from a local device to obtain result information corresponding to the information to be processed, where the result information includes at least one parameter; and then, when the parameter value of the parameter in at least one parameter is larger than the corresponding alarm threshold value, generating alarm information corresponding to result information, and sending the alarm information to the cloud. According to the technical scheme, the information to be processed of the local equipment is subjected to data processing to obtain result information, so that the processing efficiency of the local information to be processed is improved; when the result information contains the parameter larger than the alarm threshold value, alarm information is generated and sent to the cloud, so that the data transmission quantity of the network is reduced, and the timeliness and the effectiveness of data transmission are improved.
With further reference to fig. 4, a flow 400 of yet another embodiment of a method for generating information is shown. The flow 400 of the method for generating information comprises the steps of:
The content of step 401 is the same as that of step 201, and is not described in detail here.
In some optional implementations of this embodiment, the method may further include: and in response to the parameter value of the parameter in the at least one parameter not being greater than the corresponding alarm threshold value, adding the result information to a result information set.
In addition to the above situation of generating the alarm information, when the execution main body processes the to-be-processed information of the local device, the execution main body needs to report the result information to the cloud 105. Specifically, when the parameter value of the parameter included in the result data is not greater than the corresponding alarm threshold, although the alarm information is not generated, the result information also needs to be added to the result information set.
In some optional implementations of this embodiment, the method may further include:
firstly, sorting the result information in the result information set according to a set condition to obtain a result information sequence.
The execution subject can count the result information according to the set conditions. Wherein, the setting condition may include at least one of the following: time stamp and parameter value taking; the timestamp may be used to identify the time of generation of the result information. According to different set conditions, the sequencing of the result information in the obtained result information sequence is different, so that various types of statistical results are realized.
And secondly, setting time periods at intervals, setting the result information of the preset number in the result information sequence as target result information, and uploading the target result information.
The execution body may set a previously set number of result information in the result information sequence as the target result information at intervals of a set time period. And the target result information corresponding to the set time period represents the running state of the local equipment in the set time period. When the target result information is obtained, the execution main body can sort the result information in the result information sequence according to the time stamp, and then select the corresponding target result information. The target result information may include at least one piece of result information.
It should be noted that, in general, the data size of the result information is much smaller than that of the information to be processed. Therefore, the uploading of the target result information can also reduce the data transmission amount of the network, and further improve the timeliness and effectiveness of data transmission.
With further reference to fig. 5, as an implementation of the methods shown in the above figures, the present disclosure provides an embodiment of an apparatus for generating information, which corresponds to the method embodiment shown in fig. 2, and which is specifically applicable to various electronic devices.
As shown in fig. 5, the apparatus 500 for generating information of the present embodiment may include: a result information acquisition unit 501 and an alarm information generation unit 502. The result information obtaining unit 501 is configured to perform data processing on information to be processed sent from a local device, and obtain result information corresponding to the information to be processed, where the result information includes at least one parameter; the alarm information generating unit 502, in response to that a parameter value of the at least one parameter is greater than a corresponding alarm threshold, is configured to generate alarm information corresponding to the result information, and send the alarm information to the cloud.
In some optional implementations of this embodiment, the apparatus 500 for generating information may further include: the feedback information receiving unit (not shown in the figure) is configured to receive feedback information corresponding to the alarm information sent by the cloud, and generate a control instruction for controlling the local device according to the feedback information.
In some optional implementations of this embodiment, the apparatus 500 for generating information may further include: a result information storage unit (not shown in the figure), in response to the parameter value of the parameter of the at least one parameter not being greater than the corresponding alarm threshold value, configured to add the result information to the result information set.
In some optional implementations of this embodiment, the apparatus 500 for generating information may further include: a result information sequence generating unit (not shown in the figure) and a target result information uploading unit (not shown in the figure). The result information sequence generating unit is configured to sort the result information in the result information set according to a set condition to obtain a result information sequence, where the set condition includes at least one of: time stamp and parameter value; the target result information uploading unit is configured to set a previously set number of pieces of result information in the sequence of result information as target result information at intervals of a set time period, and upload the target result information.
The present embodiment also provides an electronic device, including: one or more processors; a memory having one or more programs stored thereon, which when executed by the one or more processors, cause the one or more processors to perform the above-described method for generating information.
The present embodiment also provides a computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the above-mentioned method for generating information.
Referring now to FIG. 6, a block diagram of a computer system 600 suitable for use with an electronic device (e.g., edge computing devices 101, 102, 103 in FIG. 1) implementing embodiments of the present disclosure is shown. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 6, electronic device 600 may include a processing means (e.g., central processing unit, graphics processor, etc.) 601 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
Generally, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 illustrates an electronic device 600 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 6 may represent one device or may represent multiple devices as desired.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 609, or may be installed from the storage means 608, or may be installed from the ROM 602. The computer program, when executed by the processing device 601, performs the above-described functions defined in the methods of embodiments of the present disclosure.
It should be noted that the computer readable medium mentioned above in the embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: performing data processing on information to be processed sent by local equipment to obtain result information corresponding to the information to be processed, wherein the result information comprises at least one parameter; and generating alarm information corresponding to the result information in response to the fact that the parameter value of the parameter in the at least one parameter is larger than the corresponding alarm threshold value, and sending the alarm information to the cloud.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a result information acquisition unit and an alarm information generation unit. The names of the units do not form a limitation on the units themselves in some cases, for example, the warning information generation unit may also be described as a "unit for generating warning information and uploading the warning information to the cloud".
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is possible without departing from the inventive concept as defined above. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Claims (6)
1. A method for generating information for application to an edge computing device, comprising:
performing data processing on information to be processed sent by local equipment to obtain result information corresponding to the information to be processed, wherein the result information comprises at least one parameter; the local device and the edge computing device are located in the same geographic area; the information to be processed represents the data processing state of various applications running on the local equipment or the working state of the local equipment; different parameters represent different operation indexes;
responding to the condition that the parameter value of the parameter in the at least one parameter is larger than the corresponding alarm threshold value, generating alarm information corresponding to the result information, and sending the alarm information to a cloud end;
In response to a parameter value of a parameter of the at least one parameter not being greater than a corresponding alarm threshold, adding the result information to a result information set;
the method further comprises the following steps:
sorting the result information in the result information set according to a set condition to obtain a result information sequence, wherein the set condition comprises at least one of the following items: time stamp and parameter value;
and setting a time period at intervals, setting the result information of the preset quantity in the result information sequence as target result information, and uploading the target result information, wherein the target result information corresponding to the set time period represents the running state of the local equipment in the set time period.
2. The method of claim 1, wherein the method further comprises:
and receiving feedback information corresponding to the alarm information sent by the cloud, and generating a control instruction for controlling the local equipment according to the feedback information.
3. An apparatus for generating information, applied to an edge computing device, comprising:
the device comprises a result information acquisition unit, a processing unit and a processing unit, wherein the result information acquisition unit is configured to perform data processing on information to be processed sent by local equipment to obtain result information corresponding to the information to be processed, and the result information comprises at least one parameter; the local device and the edge computing device are located in the same geographic area; the information to be processed represents the data processing state of various applications running on the local equipment or the working state of the local equipment; different parameters represent different operation indexes;
The alarm information generating unit is used for responding to the condition that the parameter value of the parameter in the at least one parameter is larger than the corresponding alarm threshold value, generating alarm information corresponding to the result information and sending the alarm information to the cloud end;
a result information storage unit, responsive to a parameter value of a parameter of the at least one parameter not being greater than a corresponding alarm threshold, configured to add the result information to a result information set;
a result information sequence generating unit configured to sort the result information in the result information set according to a set condition to obtain a result information sequence, wherein the set condition includes at least one of the following: time stamp and parameter value;
and the target result information uploading unit is configured to set a time period at intervals, set the result information of the previous set number in the result information sequence as target result information, and upload the target result information, wherein the target result information corresponding to the set time period represents the running state of the local equipment in the set time period.
4. The apparatus of claim 3, wherein the apparatus further comprises:
and the feedback information receiving unit is configured to receive feedback information corresponding to the alarm information sent by the cloud, and generate a control instruction for controlling the local device according to the feedback information.
5. An electronic device, comprising:
one or more processors;
a memory having one or more programs stored thereon,
the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of claim 1 or 2.
6. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method of claim 1 or 2.
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| CN110490142B (en) * | 2019-08-21 | 2022-08-23 | 北京百度网讯科技有限公司 | Method and device for generating alarm signal |
| CN110493341A (en) * | 2019-08-21 | 2019-11-22 | 北京百度网讯科技有限公司 | Method and device for controlling devices |
| CN113704322B (en) * | 2021-08-17 | 2023-08-01 | 北京国电通网络技术有限公司 | Cloud edge cooperation-based data acquisition method, device and medium |
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| CN108681288A (en) * | 2018-06-28 | 2018-10-19 | 上海电器科学研究所（集团）有限公司 | A kind of novel maintenance system based on cloud platform |
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| CN106657387A (en) * | 2017-01-13 | 2017-05-10 | 郑州云海信息技术有限公司 | Intelligent centralized air-traffic-control automation monitoring system |
| CN208273318U (en) * | 2018-05-28 | 2018-12-21 | 上海朗骏智能科技股份有限公司 | Street lamp control system with alarming mechanism |
| CN109188955A (en) * | 2018-08-15 | 2019-01-11 | 江苏安科瑞电器制造有限公司 | A kind of cloud remote supervisory and control(ling) equipment |
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