CN115373449B - Data processing method, device, equipment and storage medium - Google Patents
Data processing method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN115373449B CN115373449B CN202211012072.9A CN202211012072A CN115373449B CN 115373449 B CN115373449 B CN 115373449B CN 202211012072 A CN202211012072 A CN 202211012072A CN 115373449 B CN115373449 B CN 115373449B
- Authority
- CN
- China
- Prior art keywords
- target
- information
- fire control
- temperature
- parameter information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 23
- 238000012545 processing Methods 0.000 claims abstract description 22
- 238000000034 method Methods 0.000 claims abstract description 20
- 230000005611 electricity Effects 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 16
- 230000007613 environmental effect Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000004422 calculation algorithm Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Automation & Control Theory (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Fire-Extinguishing By Fire Departments, And Fire-Extinguishing Equipment And Control Thereof (AREA)
Abstract
The invention discloses a data processing method, a device, equipment and a storage medium, and belongs to the technical field of data processing. The method comprises the following steps: acquiring fire control parameter information of a target electrical appliance according to a preset data acquisition rule; the fire parameter information includes at least one of: target usage temperature, target ambient humidity, and target location information; determining fire control judgment information according to the fire control parameter information and standard parameter information related to the target electrical appliance; and adjusting the fire control parameter information according to the fire control judging information and the set threshold value. Through the technical scheme, the possibility of dangerous situations such as fire disaster and the like can be accurately judged, and the fire control problem can be accurately positioned.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a data processing method, apparatus, device, and storage medium.
Background
With the continuous development of modern science and technology, the living standard of people is continuously improved, the types of electrical appliances in the present families are more and more, the use frequency of the electrical appliances is also higher and more, and the probability of fire occurrence is also continuously increased, so that special attention is required to the fire emergency treatment process before the fire occurs.
The existing fire emergency treatment technology can only make certain judgment and early warning before the fire disaster possibly occurs, has obvious defects, such as the existing fire emergency treatment technology can not make more accurate judgment on whether the fire disaster occurs or not, and can not accurately position the main cause of the fire disaster. Thus, improvements continue.
Disclosure of Invention
The invention provides a data processing method, a device, equipment and a storage medium, which are used for solving the problem of realizing accurate positioning on a fire disaster and avoiding dangerous situations such as fire disaster.
According to an aspect of the present invention, there is provided a data processing method comprising:
acquiring fire control parameter information of a target electrical appliance according to a preset data acquisition rule; the fire parameter information includes at least one of: target usage temperature, target ambient humidity, and target location information;
determining fire control judgment information according to the fire control parameter information and standard parameter information related to the target electrical appliance;
and adjusting the fire control parameter information according to the fire control judging information and the set threshold value.
According to another aspect of the present invention, there is provided a data processing apparatus comprising:
the fire control parameter information acquisition module is used for acquiring fire control parameter information of the target electrical appliance according to a preset data acquisition rule; the fire parameter information includes at least one of: target usage temperature, target ambient humidity, and target location information;
the fire control judgment information determining module is used for determining fire control judgment information according to the fire control parameter information and the standard parameter information related to the target electrical appliance;
and the fire control parameter information adjusting module is used for adjusting the fire control parameter information according to the fire control judging information and the set threshold value.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the data processing method according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute a data processing method according to any one of the embodiments of the present invention.
According to the technical scheme, the fire control parameter information of the target electrical appliance is obtained according to the preset data acquisition rule; the fire parameter information includes at least one of: the target using temperature, the target environment humidity and the target position information, fire control judging information is determined according to fire control parameter information and standard parameter information related to target electric appliances, and then the fire control parameter information is adjusted according to the fire control judging information and a set threshold value. According to the technical scheme, the fire control parameter information of the target electrical appliance is adjusted, so that dangerous situations such as fire disaster and the like can be avoided, and meanwhile, the fire control system can be accurately positioned with a fire control problem.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a data processing method according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a data processing method according to a second embodiment of the present invention;
FIG. 3 is a schematic diagram of a data processing apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device implementing a data processing method according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," "target," and the like in the description and claims of the present invention and in the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In addition, in the technical scheme of the invention, the processing such as collection, storage, use, processing, transmission, provision and disclosure of the fire control parameter information and the related standard parameter information of the target electrical appliance are in accordance with the regulations of the related laws and regulations, and the public welfare is not violated.
Example 1
Fig. 1 is a flowchart of a data processing method according to a first embodiment of the present invention. The present embodiment is applicable to the case of how fire emergency treatment is performed, and the method may be performed by a data processing device, which may be implemented in hardware and/or software, and which may be integrated in an electronic device, such as a server, carrying data processing functions. As shown in fig. 1, the data processing method of the present embodiment may include:
s110, acquiring fire control parameter information of the target electrical appliance according to a preset data acquisition rule.
In this embodiment, the target electric appliance refers to an electric appliance that needs to perform fire fighting judgment, that is, an electric appliance that has a fire fighting hidden danger in the electricity utilization process. The fire control parameter information refers to relevant parameter information for determining fire control problems, and optionally, the fire control parameter information includes at least one of the following: target usage temperature, target ambient humidity, and target location information; the target use temperature refers to the real-time use temperature of the target electric appliance; the target environment temperature is temperature information of the environment where the target electrical appliance is located; the target environment humidity is humidity information of the environment where the target electrical appliance is located; the target position information refers to real-time position information of the target electric appliance.
Further, the target use temperature and the target environment temperature are acquired by a temperature sensor; the target position information is obtained through real-time positioning by a Beidou positioning system; the target ambient humidity is acquired by a humidity sensor.
Specifically, fire control parameter information of the target electrical appliance can be obtained based on a preset data obtaining rule. For example, fire control parameter information of the target electric appliance may be acquired at every set time. For another example, the fire control parameter information of the target electrical appliance can be obtained in real time.
And S120, determining fire control judgment information according to the fire control parameter information and standard parameter information related to the target electrical appliance.
In this embodiment, the standard parameter information refers to standard fire protection information related to target electricity consumption; optionally, the standard parameter information includes at least one of standard usage temperature, standard ambient humidity, normal electricity usage location information, and an influence coefficient; the influence coefficient includes using at least one of a temperature influence coefficient, an ambient temperature influence coefficient, a humidity influence coefficient, and a potential use influence coefficient.
The fire control judgment information is information for judging whether fire hazards exist or not, and may be specific numerical values, index parameters or the like.
Alternatively, the fire control judgment information may be determined based on a certain judgment rule according to fire control parameter information and standard parameter information associated with the target electrical appliance. For example, the fire control decision information may be determined based on the data analysis model from the fire control parameter information and standard parameter information associated with the target electrical appliance. The data analysis model can be obtained based on a machine learning algorithm and a statistical analysis algorithm.
S130, adjusting the fire protection parameter information according to the fire protection judging information and the set threshold value.
Optionally, the fire control judgment information is compared with a set threshold value, and the fire control parameter information of the target electrical appliance is adjusted according to the comparison result. Specifically, if the fire control judgment information is smaller than or equal to the set threshold value, the probability of dangerous situations such as fire disaster and the like of the environment where the target electric appliance is located is smaller, and the fire control parameter information of the target electric appliance does not need to be adjusted; if the fire control judgment information is larger than the set threshold value, the probability of dangerous situations such as fire disaster and the like of the environment where the target electric appliance is located is high, and at the moment, the fire control parameter information of the target electric appliance needs to be adjusted, namely emergency treatment needs to be carried out, so that the dangerous situations such as fire disaster and the like are avoided. Furthermore, early warning information and the like can be generated to the associated user of the target electric appliance.
It should be noted that the setting threshold may be set by a person skilled in the art according to the time situation.
According to the technical scheme, the fire control parameter information of the target electrical appliance is obtained according to the preset data acquisition rule; the fire parameter information includes at least one of: the target using temperature, the target environment humidity and the target position information, fire control judging information is determined according to fire control parameter information and standard parameter information related to target electric appliances, and then the fire control parameter information is adjusted according to the fire control judging information and a set threshold value. According to the technical scheme, the fire control parameter information of the target electrical appliance is adjusted, so that dangerous situations such as fire disaster and the like can be avoided, and meanwhile, the fire control system can be accurately positioned with a fire control problem.
Example two
Fig. 2 is a flowchart of a data processing method according to a second embodiment of the present invention. This example provides an alternative embodiment based on the above examples for further optimization of the "determine fire decision information from fire parameter information". As shown in fig. 2, the data processing method of the present embodiment may include:
s210, acquiring fire control parameter information of the target electrical appliance according to a preset data acquisition rule.
Wherein the fire parameter information includes at least one of: target usage temperature, target ambient humidity, and target location information.
S220, determining a first temperature difference degree according to the target use temperature, the standard use temperature and the use temperature influence coefficient.
In this embodiment, the first temperature difference refers to a difference between a usage temperature for characterizing the target electrical appliance and a standard usage temperature.
Alternatively, the absolute value of the difference between the target usage temperature and the standard usage temperature may be calculated, and then the result of multiplying the absolute value of the difference by the usage temperature influence coefficient may be used as the first temperature difference.
Alternatively, the square of the difference between the target usage temperature and the standard usage temperature may be calculated, and the square is given a root number, and the result obtained by multiplying the result by the usage temperature influence coefficient is used as the first temperature difference degree.
S230, determining a second temperature difference degree according to the target ambient temperature, the standard ambient temperature and the ambient temperature influence coefficient.
In this embodiment, the second temperature difference refers to a difference between the target ambient temperature and the standard ambient temperature for characterizing the target electrical appliance.
Alternatively, the absolute value of the difference between the target ambient temperature and the standard ambient temperature may be calculated, and then the result of multiplying the absolute value of the difference by the ambient temperature influence coefficient may be used as the second temperature difference.
Alternatively, the square of the difference between the target ambient temperature and the standard ambient temperature may be calculated, and the square is given a root number, and the result obtained by multiplying the result by the ambient temperature influence coefficient is used as the second temperature difference.
S240, determining the humidity difference degree according to the target ambient humidity, the standard ambient humidity and the humidity influence coefficient.
In this embodiment, the humidity difference refers to a difference between the target ambient humidity and the standard ambient temperature used to characterize the target electrical appliance.
Alternatively, the absolute value of the difference between the target ambient humidity and the standard ambient humidity may be calculated, and then the result of multiplying the absolute value of the difference by the humidity influence coefficient may be used as the second humidity difference.
Alternatively, the square of the difference between the target ambient humidity and the standard ambient humidity may be calculated, and the square is given a root number, and the result obtained by multiplying the result by the humidity influence coefficient is used as the second humidity difference degree.
S250, determining the position difference degree according to the target position information, the normal power utilization position information and the power utilization position influence coefficient.
In this embodiment, the position difference degree refers to a difference degree between target position information for representing a target electric appliance and normal electric position information.
Alternatively, the absolute value of the difference between the target position information and the normal electricity use position information may be calculated, and then the result of multiplying the absolute value of the difference by the electricity use influence coefficient may be used as the position difference degree.
Alternatively, a ratio between the target position information and the normal electricity use position information may be calculated, and then the result of multiplying the ratio by the electricity use influence coefficient may be used as the position difference degree.
And S260, determining fire control judgment information according to the first temperature difference degree, the second temperature difference degree, the humidity difference degree and the position difference degree.
Specifically, the sum of the first temperature difference and the second temperature difference can be used as a target temperature difference, then the target temperature difference and the humidity difference are made, and the result after making is multiplied by the position difference to obtain fire control judgment information.
As a specific example, the fire fighting decision information may be determined by the following formula:
wherein Xf i The fire control judgment information of the target electric appliance is obtained for the ith time; t1 i Representing the target use temperature obtained by the ith acquisition; t2 i Representing the target environmental temperature acquired by the ith acquisition; w (W) i Representing the target position information obtained at the ith time; wherein i is the number of collection labels, and i=1, 2, 3,..n, where n is the total number of collection; t1 0 Represents standard use temperature, T2 0 Represents standard ambient temperature, S 0 Expressed as standard ambient humidity; w (W) 0 Representing normal electricity utilization position information; alpha is a use temperature influence coefficient, beta is an environment temperature influence coefficient, A is a humidity influence coefficient, and B is a use potential influence coefficient. It should be noted that, the formula is a formula for removing dimensions and taking numerical calculation, the formula is a formula for obtaining the closest to the real situation by collecting a large amount of data and performing software simulation, and various influence coefficients in the formula are set by a person skilled in the art according to the actual situation or obtained by simulating a large amount of data.
The normal power consumption position information W 0 For the normal position of the electricity utilization position of the electric appliance, the electricity utilization position of the electric appliance needs to be selected, if the electricity utilization position of the electric appliance is not exposed to sunlight for a long time or the temperature of the electricity utilization position of the electric appliance is higher and the humidity is lower because of the non-normal position, the electric appliance can be influenced to a certain extent, and therefore the possibility of fire disaster occurrence is increased.
And S270, adjusting the fire protection parameter information according to the fire protection judging information and the set threshold value.
Optionally, when the fire control judgment information is greater than the set threshold, the fire control parameter information of the target electrical appliance can be adjusted according to the target position information and the normal electricity utilization position information. Specifically, the ratio between the target position information and the normal power consumption position information can be used as the range difference degree; under the condition that the range difference degree is larger than the range threshold value, adjusting the target position information until the range difference degree is smaller than or equal to the range threshold value; and under the condition that the range difference degree is smaller than or equal to the range threshold value, adjusting the target use temperature, the target environment humidity and the target environment temperature until the fire control judgment information is smaller than or equal to the set threshold value.
The range threshold may be set by those skilled in the art according to the actual situation, and may be 1, for example.
According to the technical scheme, fire control parameter information of a target electrical appliance is obtained according to a preset data obtaining rule, then a first temperature difference degree is determined according to a target use temperature, a standard use temperature and a use temperature influence coefficient, a second temperature difference degree is determined according to a target environment temperature, a standard environment temperature and an environment temperature influence coefficient, meanwhile, a humidity difference degree is determined according to a target environment humidity, a standard environment humidity and a humidity influence coefficient, a position difference degree is determined according to target position information and normal electricity utilization position information, fire control judgment information is determined according to the first temperature difference degree, the second temperature difference degree, the humidity difference degree and the position difference degree, and finally the fire control parameter information is adjusted according to the fire control judgment information and a set threshold value. According to the technical scheme, the fire control judgment information is determined through the fire control parameter information and the specific standard parameter information, so that the determined fire control judgment information is more accurate, and the fire control problem can be rapidly and accurately positioned.
Example III
Fig. 3 is a schematic structural diagram of a data processing apparatus according to a third embodiment of the present invention. The embodiment may be applicable to the case of how fire emergency treatment is performed, the data processing device may be implemented in hardware and/or software, and the data processing device may be integrated in an electronic device carrying data processing functions, such as a server. As shown in fig. 3, the data processing apparatus of the present embodiment may include:
the fire control parameter information acquisition module 310 is configured to acquire fire control parameter information of a target electrical appliance according to a preset data acquisition rule; the fire parameter information includes at least one of: target usage temperature, target ambient humidity, and target location information;
the fire control judgment information determining module 320 is configured to determine fire control judgment information according to fire control parameter information and standard parameter information associated with a target electrical appliance;
the fire control parameter information adjustment module 330 is configured to adjust fire control parameter information according to the fire control judgment information and the set threshold.
According to the technical scheme, the fire control parameter information of the target electrical appliance is obtained according to the preset data acquisition rule; the fire parameter information includes at least one of: the target using temperature, the target environment humidity and the target position information, fire control judging information is determined according to fire control parameter information and standard parameter information related to target electric appliances, and then the fire control parameter information is adjusted according to the fire control judging information and a set threshold value. According to the technical scheme, the fire control parameter information of the target electrical appliance is adjusted, so that dangerous situations such as fire disaster and the like can be avoided, and meanwhile, the fire control system can be accurately positioned with a fire control problem.
Optionally, the standard parameter information includes at least one of standard usage temperature, standard ambient humidity, normal electricity usage location information, and an influence coefficient; the influence coefficient includes using at least one of a temperature influence coefficient, an ambient temperature influence coefficient, a humidity influence coefficient, and a potential use influence coefficient.
Optionally, the fire control judgment information determining module is specifically configured to:
determining a first temperature difference according to the target use temperature, the standard use temperature and the use temperature influence coefficient;
determining a second temperature difference according to the target ambient temperature, the standard ambient temperature and the ambient temperature influence coefficient;
determining humidity difference according to the target environment humidity, the standard environment humidity and the humidity influence coefficient;
determining the position difference degree according to the target position information, the normal power utilization position information and the power utilization position influence coefficient;
and determining fire control judgment information according to the first temperature difference degree, the second temperature difference degree, the humidity difference degree and the position difference degree.
Optionally, the fire parameter information adjustment module includes:
and the fire control parameter information adjusting unit is used for adjusting the fire control parameter information of the target electric appliance according to the target position information and the normal electricity utilization position information under the condition that the fire control judgment information is larger than the set threshold value.
Optionally, the fire parameter information adjustment unit is specifically configured to:
taking the ratio between the target position information and the normal power utilization position information as the range difference degree;
under the condition that the range difference degree is larger than the range threshold value, adjusting the target position information until the range difference degree is smaller than or equal to the range threshold value;
and under the condition that the range difference degree is smaller than or equal to the range threshold value, adjusting the target use temperature, the target environment humidity and the target environment temperature until the fire control judgment information is smaller than or equal to the set threshold value.
Optionally, the target use temperature and the target environment temperature are acquired by a temperature sensor; the target position information is obtained through real-time positioning by a Beidou positioning system; the target ambient humidity is acquired by a humidity sensor.
The data processing device provided by the embodiment of the invention can execute the data processing method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 is a schematic structural diagram of an electronic device implementing a data processing method according to an embodiment of the present invention, and fig. 4 shows a schematic structural diagram of an electronic device 10 that may be used to implement an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as data processing methods.
In some embodiments, the data processing method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. One or more of the steps of the data processing method described above may be performed when the computer program is loaded into RAM 13 and executed by processor 11. Alternatively, in other embodiments, the processor 11 may be configured to perform the data processing method in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method of data processing, comprising:
acquiring fire control parameter information of a target electrical appliance according to a preset data acquisition rule; the fire parameter information includes at least one of: target usage temperature, target ambient humidity, and target location information;
determining fire control judgment information according to the fire control parameter information and standard parameter information related to the target electrical appliance; the standard parameter information comprises at least one of standard use temperature, standard environment humidity, normal power utilization position information and influence coefficients; the influence coefficient includes at least one of a use temperature influence coefficient, an ambient temperature influence coefficient, a humidity influence coefficient, and a use potential influence coefficient;
according to the fire control judgment information and a set threshold value, adjusting the fire control parameter information;
the determining fire control judgment information according to the fire control parameter information and the standard parameter information related to the target electrical appliance comprises the following steps:
determining a first temperature difference according to the target use temperature, the standard use temperature and the use temperature influence coefficient;
determining a second temperature difference according to the target ambient temperature, the standard ambient temperature and the ambient temperature influence coefficient;
determining humidity difference according to the target environment humidity, the standard environment humidity and the humidity influence coefficient;
determining a position difference degree according to the target position information, the normal power utilization position information and the power utilization position influence coefficient;
determining fire control judgment information according to the first temperature difference degree, the second temperature difference degree, the humidity difference degree and the position difference degree through the following formula:
wherein Xf is fire control judgment information, T1 is a first temperature difference degree, T2 is a second temperature difference degree, S is a humidity difference degree, and W is a position difference degree.
2. The method of claim 1, wherein adjusting the fire parameter information based on the fire decision information and a set threshold value comprises:
and under the condition that the fire control judgment information is larger than a set threshold value, adjusting the fire control parameter information of the target electric appliance according to the target position information and the normal electric utilization position information.
3. The method of claim 2, wherein adjusting the fire parameter information of the target electrical consumer based on the target location information and the normal electrical location information comprises:
taking the ratio between the target position information and the normal power utilization position information as a range difference degree;
when the range difference degree is larger than a range threshold value, adjusting the target position information until the range difference degree is smaller than or equal to the range threshold value;
and under the condition that the range difference degree is smaller than or equal to a range threshold value, adjusting the target using temperature, the target environment humidity and the target environment temperature until the fire control judging information is smaller than or equal to a set threshold value.
4. A method according to any one of claims 1-3, characterized in that the target usage temperature and the target ambient temperature are acquired by means of a temperature sensor; the target position information is obtained through real-time positioning by a Beidou positioning system; the target environmental humidity is acquired by a humidity sensor.
5. A data processing apparatus, comprising:
the fire control parameter information acquisition module is used for acquiring fire control parameter information of the target electrical appliance according to a preset data acquisition rule; the fire parameter information includes at least one of: target usage temperature, target ambient humidity, and target location information;
the fire control judgment information determining module is used for determining fire control judgment information according to the fire control parameter information and the standard parameter information related to the target electrical appliance; the standard parameter information comprises at least one of standard use temperature, standard environment humidity, normal power utilization position information and influence coefficients; the influence coefficient includes at least one of a use temperature influence coefficient, an ambient temperature influence coefficient, a humidity influence coefficient, and a use potential influence coefficient;
the fire control parameter information adjusting module is used for adjusting the fire control parameter information according to the fire control judging information and a set threshold value;
the fire control judging information determining module is specifically configured to:
determining a first temperature difference according to the target use temperature, the standard use temperature and the use temperature influence coefficient;
determining a second temperature difference according to the target ambient temperature, the standard ambient temperature and the ambient temperature influence coefficient;
determining humidity difference according to the target environment humidity, the standard environment humidity and the humidity influence coefficient;
determining a position difference degree according to the target position information, the normal power utilization position information and the power utilization position influence coefficient;
determining fire control judgment information according to the first temperature difference degree, the second temperature difference degree, the humidity difference degree and the position difference degree through the following formula:
wherein Xf is fire control judgment information, T1 is a first temperature difference degree, T2 is a second temperature difference degree, S is a humidity difference degree, and W is a position difference degree.
6. The apparatus of claim 5, wherein the fire parameter information adjustment module comprises:
and the fire control parameter information adjusting unit is used for adjusting the fire control parameter information of the target electrical appliance according to the target position information and the normal electricity utilization position information under the condition that the fire control judgment information is larger than a set threshold value.
7. The device according to claim 6, wherein the fire parameter information adjustment unit is specifically configured to:
taking the ratio between the target position information and the normal power utilization position information as a range difference degree;
when the range difference degree is larger than a range threshold value, adjusting the target position information until the range difference degree is smaller than or equal to the range threshold value;
and under the condition that the range difference degree is smaller than or equal to a range threshold value, adjusting the target using temperature, the target environment humidity and the target environment temperature until the fire control judging information is smaller than or equal to a set threshold value.
8. The apparatus of any one of claims 5-7, wherein the target usage temperature and the target ambient temperature are acquired by a temperature sensor; the target position information is obtained through real-time positioning by a Beidou positioning system; the target environmental humidity is acquired by a humidity sensor.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the data processing method of any one of claims 1-4.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer instructions for causing a processor to implement the data processing method of any one of claims 1-4 when executed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211012072.9A CN115373449B (en) | 2022-08-23 | 2022-08-23 | Data processing method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211012072.9A CN115373449B (en) | 2022-08-23 | 2022-08-23 | Data processing method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115373449A CN115373449A (en) | 2022-11-22 |
| CN115373449B true CN115373449B (en) | 2024-02-20 |
Family
ID=84067317
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211012072.9A Active CN115373449B (en) | 2022-08-23 | 2022-08-23 | Data processing method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115373449B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103679558A (en) * | 2013-12-20 | 2014-03-26 | 国家电网公司 | Electric automobile charging and replacing station fire risk data evaluation method |
| CN209471539U (en) * | 2019-04-10 | 2019-10-08 | 广东电网有限责任公司 | A kind of fire-fighting and video interlink device |
| CN111523277A (en) * | 2020-05-19 | 2020-08-11 | 珠海格力电器股份有限公司 | Fire prediction method, storage device and processor |
| CN112235366A (en) * | 2020-09-29 | 2021-01-15 | 苏州工业园区工业技术学校 | Intelligent household control system and method for controlling by using same |
| CN114648849A (en) * | 2022-03-18 | 2022-06-21 | 阳光新能源开发股份有限公司 | Fire-fighting linkage device, control method and energy storage power station |
| CN114743339A (en) * | 2022-04-18 | 2022-07-12 | 广东电网有限责任公司 | Power distribution branch box fire-fighting early warning system, method and device based on Beidou positioning |
| CN114742382A (en) * | 2022-03-29 | 2022-07-12 | 广东电网有限责任公司 | Intelligent protection system and method for power distribution room and storage medium |
-
2022
- 2022-08-23 CN CN202211012072.9A patent/CN115373449B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103679558A (en) * | 2013-12-20 | 2014-03-26 | 国家电网公司 | Electric automobile charging and replacing station fire risk data evaluation method |
| CN209471539U (en) * | 2019-04-10 | 2019-10-08 | 广东电网有限责任公司 | A kind of fire-fighting and video interlink device |
| CN111523277A (en) * | 2020-05-19 | 2020-08-11 | 珠海格力电器股份有限公司 | Fire prediction method, storage device and processor |
| CN112235366A (en) * | 2020-09-29 | 2021-01-15 | 苏州工业园区工业技术学校 | Intelligent household control system and method for controlling by using same |
| CN114648849A (en) * | 2022-03-18 | 2022-06-21 | 阳光新能源开发股份有限公司 | Fire-fighting linkage device, control method and energy storage power station |
| CN114742382A (en) * | 2022-03-29 | 2022-07-12 | 广东电网有限责任公司 | Intelligent protection system and method for power distribution room and storage medium |
| CN114743339A (en) * | 2022-04-18 | 2022-07-12 | 广东电网有限责任公司 | Power distribution branch box fire-fighting early warning system, method and device based on Beidou positioning |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115373449A (en) | 2022-11-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116523140A (en) | Method and device for detecting electricity theft, electronic equipment and storage medium | |
| CN116957539A (en) | Cable state evaluation method, device, electronic equipment and storage medium | |
| CN115373449B (en) | Data processing method, device, equipment and storage medium | |
| CN115597872B (en) | Load shedding test method, device, equipment and medium for pumped storage unit | |
| CN117094452B (en) | Drought state prediction method, and training method and device of drought state prediction model | |
| CN117131353B (en) | Method and device for determining out-of-tolerance electric energy meter, electronic equipment and storage medium | |
| CN116071886B (en) | Smoke alarm method, device, equipment and medium based on dynamic zero value | |
| CN117198017B (en) | Alarm grade determining method and device, electronic equipment and storage medium | |
| CN116167519A (en) | Monitoring amount prediction method, device, equipment and medium | |
| CN117578415A (en) | Load prediction method, device, equipment and storage medium | |
| CN116914737A (en) | Photovoltaic bearing capacity evaluation method, device, equipment and storage medium for power distribution network | |
| CN115955189A (en) | Method, device, equipment and medium for detecting power generation abnormity | |
| CN117634437A (en) | Method and device for describing current running state of equipment and electronic equipment | |
| CN116822740A (en) | Power distribution network operation and maintenance scheme determining method and device, electronic equipment and storage medium | |
| CN116956042A (en) | Method, device, equipment and medium for establishing fault type detection model | |
| CN118014018A (en) | Building energy consumption prediction method, device, equipment and storage medium | |
| CN116662194A (en) | Software quality measurement method, device, equipment and medium | |
| CN117540698A (en) | SRAM selection method, device, equipment and medium with variable weight | |
| CN117538643A (en) | Elevator component detection method, device, electronic equipment and storage medium | |
| CN117076988A (en) | Abnormal behavior detection method, device, equipment and medium | |
| CN116304635A (en) | Operation data analysis method, device and equipment of pumped storage equipment | |
| CN117851853A (en) | Method, device, equipment and storage medium for positioning electricity stealing user | |
| CN116308284A (en) | Operation data detection method, device and equipment of pumped storage equipment | |
| CN118171802A (en) | Power failure event analysis method and device, electronic equipment and storage medium | |
| CN118100233A (en) | Micro-grid group energy storage capacity configuration method and device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |