CN117255123A - Gas safety supervision method and device based on Internet of things cloud platform - Google Patents

Gas safety supervision method and device based on Internet of things cloud platform Download PDF

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Publication number
CN117255123A
CN117255123A CN202311533036.1A CN202311533036A CN117255123A CN 117255123 A CN117255123 A CN 117255123A CN 202311533036 A CN202311533036 A CN 202311533036A CN 117255123 A CN117255123 A CN 117255123A
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gas concentration
user
current
gas
air pressure
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滕飞
潘小明
柯昌华
杨华府
徐修成
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Shandong Zhihui Gas Interne Of Things Technology Co ltd
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Shandong Zhihui Gas Interne Of Things Technology Co ltd
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Priority to CN202311533036.1A priority Critical patent/CN117255123A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/52Network services specially adapted for the location of the user terminal
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/12Alarms for ensuring the safety of persons responsive to undesired emission of substances, e.g. pollution alarms
    • G08B21/16Combustible gas alarms
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B27/00Alarm systems in which the alarm condition is signalled from a central station to a plurality of substations
    • G08B27/005Alarm systems in which the alarm condition is signalled from a central station to a plurality of substations with transmission via computer network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

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  • Business, Economics & Management (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Emergency Management (AREA)
  • Computing Systems (AREA)
  • Toxicology (AREA)
  • Environmental & Geological Engineering (AREA)
  • Combustion & Propulsion (AREA)
  • Chemical & Material Sciences (AREA)
  • Medical Informatics (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Emergency Alarm Devices (AREA)
  • Alarm Systems (AREA)

Abstract

A gas safety supervision method and device based on an Internet of things cloud platform relate to the field of gas safety supervision; the method comprises the following steps: acquiring the current gas concentration, wherein the current gas concentration is the gas concentration detected by the target alarm; judging whether the current gas concentration is larger than a normal threshold value and smaller than a dangerous threshold value; if the current gas concentration is larger than the normal threshold and smaller than the dangerous threshold, acquiring gas leakage processing time according to the current gas concentration and the dangerous threshold; and sending an alarm prompt to a user, wherein the alarm prompt comprises the gas leakage processing time and the position information of the target alarm. By implementing the technical scheme provided by the application, the problem that the gas safety device has alarm information transmission failure can be solved.

Description

Gas safety supervision method and device based on Internet of things cloud platform
Technical Field
The application relates to the field of gas safety supervision, in particular to a gas safety supervision method and device based on an internet of things cloud platform.
Background
Today, gas is used in many scenarios; for example, in the industrial field, gas can be used for heating, cooling, driving machinery, etc., and in the civil field, gas can be used for heating, heating domestic water, kitchen cooking, etc.
The fuel gas belongs to inflammable and explosive substances, and part of fuel gas is extremely harmful to human bodies, so that fuel gas facilities often prevent damage caused by fuel gas leakage by arranging an alarm and other methods; the alarms are mostly independent at present, namely, when gas leakage occurs, the alarms of the alarms are only known by people in local areas; when no personnel exist in the local area, further loss and damage can be caused by gas leakage, and the gas management department cannot effectively manage and control the situation, namely the gas safety device has the problem of failure in transmitting alarm information.
Therefore, a method and a device for monitoring gas safety based on the cloud platform of the internet of things are needed.
Disclosure of Invention
The application provides a gas safety supervision method and device based on an Internet of things cloud platform, which can solve the problem that a gas safety device has alarm information transmission failure.
The application provides a gas safety supervision method based on an internet of things cloud platform in a first aspect, wherein the method comprises the following steps: acquiring the current gas concentration, wherein the current gas concentration is the gas concentration detected by the target alarm; judging whether the current gas concentration is larger than a normal threshold value and smaller than a dangerous threshold value; if the current gas concentration is larger than the normal threshold and smaller than the dangerous threshold, acquiring gas leakage processing time according to the current gas concentration and the dangerous threshold; and sending an alarm prompt to a user, wherein the alarm prompt comprises the gas leakage processing time and the position information of the target alarm.
By adopting the technical scheme, the cloud platform of the Internet of things judges whether the gas leaks or not according to whether the concentration of the gas in the current air is greater than a normal threshold value and less than a dangerous threshold value, and when the gas is in the range, the current gas leakage situation is indicated; the cloud platform of the Internet of things can calculate the gas leakage processing time according to the current gas concentration, and then sends an alarm prompt to a user.
Optionally, the acquiring the gas leakage processing time according to the current gas concentration and the dangerous threshold specifically includes: acquiring the rising speed of the concentration of the fuel gas; inputting the rising speed of the gas concentration and the current gas concentration into a preset regression model to obtain a relation curve of the gas concentration and time; acquiring the arrival time of the dangerous threshold corresponding to the dangerous threshold according to the relation curve; and acquiring the gas leakage processing time according to the dangerous threshold value arrival time.
By adopting the technical scheme, the cloud platform of the Internet of things can acquire the rising speed of the gas concentration, further obtain the relation curve between the gas concentration and time, and then calculate the time required for predicting that the gas concentration at the current distance reaches the dangerous value according to the relation curve, namely, acquire the gas leakage processing time more quickly and accurately, so that a user can be prompted and decided in time.
Optionally, after determining whether the current gas concentration is greater than the normal threshold and less than the hazard threshold, the method further comprises: and if the current gas concentration is greater than or equal to the dangerous threshold, sending emergency evacuation information to a preset loudspeaker to inform a user of evacuation, wherein the emergency evacuation information comprises prompt information for avoiding using electric appliances and a switch.
Through adopting above-mentioned technical scheme, thing networking cloud platform is greater than or equal to dangerous threshold after judging current gas concentration, confirms that current gas concentration is too high, and the condition is very critical, except that the equipment such as through speaker is evacuated to the suggestion when also evacuating with some emergencies informs the user to help the user in time safety evacuate this high gas concentration's region.
Optionally, after sending the emergency evacuation information to the preset speaker, the method further comprises: displaying prompt information of whether an emergency rescue call needs to be dialed or not to a user; responding to the operation of the user allowing to dial the emergency rescue telephone, and dialing the reserved emergency rescue telephone; after the call is confirmed, a request rescue voice is generated and played, wherein the request rescue voice comprises the position information of the target alarm.
By adopting the technical scheme, the cloud platform of the Internet of things can further prompt a user whether to dial an emergency rescue call or not, and can timely take effective measures to suppress further consequences caused by gas leakage; under the condition that the user allows, the emergency rescue telephone is automatically dialed, rescue voice is automatically generated according to the current position information of the user, and the help seeking is played, so that the steps required by the help seeking of the user are greatly simplified, the time spent by the user on the help seeking is saved, and the user can also seek help in time under a poor physical state.
Optionally, after sending the alarm prompt to the user, the method further comprises: acquiring a target air pressure value currently measured by a target air pressure sensor, wherein the target air pressure sensor is any one of a plurality of preset air pressure sensors, and the preset air pressure sensors are preset on a gas pipeline; judging whether the target air pressure value is within a preset air pressure range; if the target air pressure value is not in the preset air pressure range, acquiring the position information of the target air pressure sensor; and displaying the position information of the target air pressure sensor to a user.
By adopting the technical scheme, the internet of things cloud platform judges whether the position corresponding to the target air pressure value is a gas leakage point or not by acquiring the target air pressure value, and in this way, the internet of things cloud platform can judge whether the gas pressure at each position of a gas pipeline is normal or not, so that the leakage position of the gas is judged; the leakage position is displayed to a user so as to help the user to accurately find the gas leakage point and solve the gas leakage problem.
Optionally, obtaining the current gas concentration includes any one of the following ways: acquiring the current gas concentration every preset time period; and responding to the inquiring operation of the user on the gas concentration, and acquiring the current gas concentration.
By adopting the technical scheme, the internet of things cloud platform can acquire the gas concentration in two ways, the interval preset time period can be acquired to enable the internet of things cloud platform to automatically monitor the gas, and when the interval preset time is shorter, the gas leakage problem can be found in time so as to avoid the gas situation development; the user can actively operate to acquire the current gas concentration so as to support the requirement of the user for checking the gas concentration in real time.
Optionally, after sending the alarm prompt to the user, the method further comprises: constructing a corresponding relation between the current gas concentration and the current time; storing the current gas concentration, the current time and the corresponding relation into a preset gas leakage database to construct and update the preset gas leakage database; responding to the query operation of the user for the gas leakage, and acquiring the query time input by the user; searching the gas concentration corresponding to the query time in a preset gas leakage database; and displaying the gas concentration corresponding to the query time to the user.
By adopting the technical scheme, the internet of things cloud platform can construct the corresponding relation between the current gas concentration and the current time after acquiring the current gas concentration, and store the corresponding relation into the preset gas leakage database to construct and update the preset gas leakage database; and furthermore, when a user needs to search the gas concentration data or research the gas concentration trend, the historical data of the gas concentration can be provided more quickly.
The application provides a gas safety supervision device based on an internet of things cloud platform in a second aspect, wherein the device comprises an acquisition unit and a processing unit;
and the acquisition unit is used for acquiring the current gas concentration, wherein the current gas concentration is the gas concentration detected by the target alarm.
The processing unit is used for judging whether the current gas concentration is larger than a normal threshold value and smaller than a dangerous threshold value; the gas leakage processing time is obtained according to the current gas concentration and the dangerous threshold value if the current gas concentration is larger than the normal threshold value and smaller than the dangerous threshold value; and sending an alarm prompt to a user, wherein the alarm prompt comprises the gas leakage processing time and the position information of the target alarm.
Optionally, the acquiring unit is used for acquiring the rising speed of the gas concentration; acquiring the arrival time of the dangerous threshold corresponding to the dangerous threshold according to the relation curve; acquiring gas leakage processing time according to the dangerous threshold value arrival time; the processing unit is used for inputting the rising speed of the gas concentration and the current gas concentration into a preset regression model to obtain a relation curve of the gas concentration and time.
Optionally, the processing unit is configured to send emergency evacuation information to a preset speaker to notify a user of evacuation if the current gas concentration is greater than or equal to a dangerous threshold, where the emergency evacuation information includes prompt information for avoiding use of an electric appliance and a switch.
Optionally, the processing unit is used for displaying prompt information of whether the emergency rescue call needs to be dialed or not to the user; responding to the operation of the user allowing to dial the emergency rescue telephone, and dialing the reserved emergency rescue telephone; after the call is confirmed, a request rescue voice is generated and played, wherein the request rescue voice comprises the position information of the target alarm.
Optionally, the acquiring unit is configured to acquire a target air pressure value currently measured by a target air pressure sensor, where the target air pressure sensor is any one of a plurality of preset air pressure sensors, and the preset air pressure sensor is preset on the gas pipeline; if the target air pressure value is not in the preset air pressure range, acquiring the position information of the target air pressure sensor; the processing unit is used for judging whether the target air pressure value is within a preset air pressure range; and displaying the position information of the target air pressure sensor to a user.
Optionally, the obtaining unit is configured to obtain the current gas concentration every preset time period; and responding to the inquiring operation of the user on the gas concentration, and acquiring the current gas concentration.
Optionally, the acquiring unit is used for responding to the query operation of the user for the gas leakage and acquiring the query time input by the user; the processing unit is used for constructing a corresponding relation between the current gas concentration and the current time; storing the current gas concentration, the current time and the corresponding relation into a preset gas leakage database to construct and update the preset gas leakage database; searching the gas concentration corresponding to the query time in a preset gas leakage database; and displaying the gas concentration corresponding to the query time to the user.
The present application provides in a third aspect an electronic device comprising a processor, a memory, a user interface and a network interface, the memory being for storing instructions, the user interface and the network interface being for communicating with other devices, the processor being for executing the instructions stored in the memory to cause the electronic device to perform the method of any one of the possible implementations of the first aspect or the first aspect as above.
The present application provides in a fourth aspect a computer readable storage medium storing a computer program for execution by a processor as described above or any one of the possible implementation methods of the first aspect.
In summary, one or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. judging whether the gas leaks or not by the cloud platform of the Internet of things according to whether the concentration of the gas in the current air is larger than a normal threshold value and smaller than a dangerous threshold value, and when the gas leaks in the current air, indicating that the gas leaks currently; the cloud platform of the Internet of things can calculate the gas leakage processing time according to the current gas concentration, and then sends an alarm prompt to a user.
2. The cloud platform of the Internet of things can further prompt a user whether to dial an emergency rescue phone or not, and can timely take effective measures to prevent further consequences caused by gas leakage; under the condition that the user allows, the emergency rescue telephone is automatically dialed, rescue voice is automatically generated according to the current position information of the user, and the help seeking is played, so that the steps required by the help seeking of the user are greatly simplified, the time spent by the user on the help seeking is saved, and the user can also seek help in time under a poor physical state.
3. The cloud platform of the Internet of things can judge whether the gas pressure at each position of the gas pipeline is normal or not by acquiring the target gas pressure value to judge whether the position corresponding to the target gas pressure value is a gas leakage point or not, so that the gas leakage position is judged; the leakage position is displayed to a user so as to help the user to accurately find the gas leakage point and solve the gas leakage problem.
Drawings
Fig. 1 is a schematic flow chart of a gas safety supervision method based on an internet of things cloud platform according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of a gas safety supervision device based on an internet of things cloud platform, which is disclosed in an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Reference numerals illustrate: 201. an acquisition unit; 202. a processing unit; 300. an electronic device; 301. a processor; 302. a communication bus; 303. a user interface; 304. a network interface; 305. a memory.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments.
In the description of embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described herein as "such as" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "or" for example "is intended to present related concepts in a concrete fashion.
In the description of the embodiments of the present application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
The alarms are mostly independent at present, namely when gas leakage occurs, the alarms of the alarms are only known by people in local areas; when no personnel exist in the local area, further loss and damage can be caused by gas leakage, and the gas management department cannot effectively manage and control the situation, namely the gas safety device has the problem of failure in transmitting alarm information. Therefore, the embodiment provides a gas safety supervision method based on the internet of things cloud platform.
The method for monitoring and managing gas safety based on the internet of things cloud platform provided by the application can refer to fig. 1, and fig. 1 is a schematic flow diagram of the method for monitoring and managing gas safety based on the internet of things cloud platform, which is provided by the embodiment of the application, and is applied to the internet of things cloud platform. The method includes steps S101 to S104.
S101, acquiring the current gas concentration, wherein the current gas concentration is the gas concentration detected by the target alarm.
In the above steps, the internet of things cloud platform obtains the current gas concentration through the gas alarms arranged in the monitoring area in advance, the gas concentration value can reflect the gas concentration in the area, for convenience of expression, the embodiment uses one gas alarm to explain (i.e. the target alarm), in actual cases, the internet of things cloud platform can monitor the gas concentration of a plurality of areas through a plurality of gas alarms at the same time; in addition, in the actual situation, the gas concentration acquired by the gas alarm may not be consistent with the gas concentration at the edge of the monitoring area, so that for simplifying the scheme description, the gas concentration measured by the gas alarm is still defaulted to be the gas concentration at each part of the monitoring area; in practical application, a user can add an additional value to the measured value of the gas alarm according to the requirement so as to simulate the condition that the gas concentration in the monitored area is greater than the concentration measured by the gas alarm.
In one possible embodiment, the obtaining the current gas concentration specifically includes any one of the following modes: acquiring the current gas concentration every preset time period; and responding to the inquiring operation of the user on the gas concentration, and acquiring the current gas concentration.
Specifically, the cloud platform of the internet of things can acquire the current gas concentration in any one of two modes; the gas concentration is obtained by the internet of things cloud platform at each preset time interval, the length of the preset time interval can be set according to the requirements of staff, and in general, when the preset time interval is set to be shorter, the internet of things cloud platform can obtain the gas concentration more frequently, so that abnormal conditions possibly existing in the gas can be found more timely; the other mode is that the cloud platform of the Internet of things responds to the gas concentration query operation of the user, obtains the current gas concentration and displays the current gas concentration to the user; according to the user setting, the gas concentration values of a plurality of areas can be obtained at the same time through one query operation, so that multi-area monitoring can be performed at the same time.
S102, judging whether the current gas concentration is larger than a normal threshold value and smaller than a dangerous threshold value.
In the above steps, the internet of things cloud platform judges whether the current gas concentration value is greater than a normal threshold value and less than a dangerous threshold value, wherein the normal threshold value is usually set as a concentration value at which gas is likely to cause harm to people, such as methane, when the concentration in the air reaches ten percent, people can be choked and die, when the content is five percent and fifteen percent, the fire source can be exploded, and the normal threshold value is set to be five percent at the moment; while the risk threshold is typically set to a concentration value that has a high probability of being life threatening, still taking methane as an example, the risk threshold is set to ten percent rather than fifteen percent; the specific threshold setting is adjusted according to the type of the monitored fuel gas, for example, the carbon monoxide concentration in the air is not more than 0.0024%, and the threshold setting can be performed according to the data.
In one possible embodiment, after determining whether the current gas concentration is greater than the normal threshold and less than the hazard threshold, the method further comprises: and if the current gas concentration is greater than or equal to the dangerous threshold, sending emergency evacuation information to a preset loudspeaker to inform a user of evacuation, wherein the emergency evacuation information comprises prompt information for avoiding using electric appliances and a switch.
Specifically, when the current gas concentration is greater than or equal to a dangerous threshold, the fact that the gas in the monitoring area is leaked to the extent that life is dangerous is indicated, at the moment, the cloud platform of the internet of things sends emergency evacuation information to equipment for conveying information such as a loudspeaker and the like which are arranged in advance, and in addition, the gas leakage information is also sent to a gas safety supervision department and a terminal reserved by a user in advance, and the user and a manager are timely prompted to conduct treatment and assistance; meanwhile, the emergency evacuation information also comprises attention points during evacuation, for example, when the methane concentration is in the range of 5% -15%, the fire source is exploded, and at the moment, the prompting information of an electric appliance or a switch which cannot use the switch and the like to manufacture a heat source such as sparks is added.
In one possible embodiment, after the emergency evacuation information is sent to the preset speaker, the method further includes: displaying prompt information of whether an emergency rescue call needs to be dialed or not to a user; responding to the operation of the user allowing to dial the emergency rescue telephone, and dialing the reserved emergency rescue telephone; after the call is confirmed, a request rescue voice is generated and played, wherein the request rescue voice comprises the position information of the target alarm.
Specifically, after the cloud platform of the internet of things sends the emergency evacuation information to the preset speaker, in order to ensure that the emergency evacuation information can be timely based on the assistance of the user, prompt information of whether the user needs to dial an emergency rescue phone is displayed to the user, wherein the prompt information can be played through the speaker or displayed through the mobile terminal of the user, and the method is not limited; after obtaining permission from a user to dial an emergency rescue phone, the internet of things cloud platform automatically dials over the emergency rescue phone reserved in advance, for example, 119, the number of a neighbor reserved in advance, or the like; after the call is confirmed, a voice for requesting rescue is generated and played for help seeking, and preferably, the voice for requesting rescue can comprise the position information of the target alarm, the area where the gas leakage exists, the population information of the user and the like, so that a rescuer can provide better rescue according to the information; the method simplifies the steps of the operation required by the user for help, and can also timely inform the rescue personnel to rescue when the physical state of the user is poor (such as the gas poisoning sign is already present or the old who is inconvenient to move alone at home, etc.).
And S103, if the current gas concentration is larger than the normal threshold and smaller than the dangerous threshold, acquiring gas leakage processing time according to the current gas concentration and the dangerous threshold.
In the above steps, when the cloud platform of the internet of things judges that the current gas concentration is greater than the normal threshold and less than the dangerous threshold, the gas concentration is not quite dangerous at the moment, and the preferable evacuation time is also provided; and the cloud platform of the Internet of things calculates and predicts the gas leakage processing time according to the current gas concentration and the dangerous threshold value.
In one possible implementation manner, the gas leakage processing time is obtained according to the current gas concentration and the dangerous threshold value, and specifically includes: acquiring the rising speed of the concentration of the fuel gas; inputting the rising speed of the gas concentration and the current gas concentration into a preset regression model to obtain a relation curve of the gas concentration and time; acquiring the arrival time of the dangerous threshold corresponding to the dangerous threshold according to the relation curve; and acquiring the gas leakage processing time according to the dangerous threshold value arrival time.
Specifically, the cloud platform of the internet of things acquires the gas concentration rising speed through a gas alarm, wherein the specific acquisition mode is that a time period (such as a time period with the time length of 0.1 second) with a short time interval including the current moment is selected, the gas concentration at two endpoint moments of the time period is acquired, the concentration difference is obtained by calculating a difference value, and then the gas concentration rising speed at the current moment can be approximately obtained by dividing the concentration difference by the length of the time period; in order to ensure that the gas leakage treatment time is more accurately predicted, the gas concentration rising speeds at different moments can be obtained, the data and the current gas concentration are input into a preset regression model trained in advance, a predicted gas concentration and time relation curve is obtained, and each time point corresponds to a gas concentration value in the relation curve; and searching the gas concentration value with the dangerous threshold value for the first time on the curve, acquiring the dangerous threshold value arrival time corresponding to the gas concentration value, and subtracting the current moment from the dangerous threshold value arrival time to obtain the gas leakage processing time.
S104, sending an alarm prompt to a user, wherein the alarm prompt comprises the gas leakage processing time and the position information of the target alarm.
In the above steps, the internet of things cloud platform sends an alarm prompt to the user, and according to the requirement of the user, in this case, the internet of things cloud platform may also send the alarm prompt to a gas management department or a device owned by a relative, and the alarm prompt displaying manner may be played through a speaker or displayed on a user terminal, which is not limited herein; the alarm prompt comprises the gas leakage processing time and the position information of the target alarm, so that the user can evacuate in time through the information.
In one possible implementation, after sending the alert prompt to the user, the method further comprises: acquiring a target air pressure value currently measured by a target air pressure sensor, wherein the target air pressure sensor is any one of a plurality of preset air pressure sensors, and the preset air pressure sensors are preset on a gas pipeline; judging whether the target air pressure value is within a preset air pressure range; if the target air pressure value is not in the preset air pressure range, acquiring the position information of the target air pressure sensor; and displaying the position information of the target air pressure sensor to a user.
Specifically, the cloud platform of the internet of things can detect possible leakage points by detecting the air pressure at each place of the gas pipeline, and specifically, the method comprises the steps of obtaining the air pressure value (namely, a target air pressure value) currently measured by an air pressure sensor (namely, a target air pressure sensor); the air pressure sensor can be preset at each position on the gas pipeline; then judging whether the target air pressure value is within a preset air pressure range or not, or can be within a standard air pressure range, and can be preset by staff; if the target air pressure value is within the preset air pressure range, the problem that the part of the pipeline where the target air pressure sensor is positioned is not leaked currently is indicated; if the target air pressure value is not in the preset air pressure range, the problem that the gas leakage is likely to exist in the part of the pipeline where the target air pressure sensor is located is indicated, and at the moment, the position information of the target air pressure sensor is acquired; and displaying the position information of the target air pressure sensor to a user and a gas manager so as to assist the user or the gas manager to timely determine the damage position of the gas pipeline for timely repair.
In one possible implementation, after sending the alert prompt to the user, the method further comprises: constructing a corresponding relation between the current gas concentration and the current time; storing the current gas concentration, the current time and the corresponding relation into a preset gas leakage database to construct and update the preset gas leakage database; responding to the query operation of the user for the gas leakage, and acquiring the query time input by the user; searching the gas concentration corresponding to the query time in a preset gas leakage database; and displaying the gas concentration corresponding to the query time to the user.
Specifically, after the gas concentration abnormality occurs, the internet of things cloud platform can record the abnormality so as to facilitate subsequent reference; the specific recording mode is that a corresponding relation between the current gas concentration and the current time is constructed; and storing the current gas concentration, the current time, the corresponding relation and the position where gas leakage occurs into a preset gas leakage database to construct or update the preset gas leakage database. After that, the internet of things cloud platform can respond to the query operation of the user for the historical gas leakage, acquire the query time input by the user, search the corresponding gas concentration and the position where the gas leakage occurs through the corresponding relation between the gas concentration and the query time, and display the gas concentration and the position where the gas leakage occurs corresponding to the query time to the user.
The application also provides a gas safety supervision device based on the internet of things cloud platform, which comprises an acquisition unit 201 and a processing unit 202, and is described with reference to fig. 2.
An acquisition unit 201, configured to acquire a current gas concentration, where the current gas concentration is a gas concentration detected by the target alarm.
A processing unit 202, configured to determine whether the current gas concentration is greater than a normal threshold and less than a dangerous threshold; the gas leakage processing time is obtained according to the current gas concentration and the dangerous threshold value if the current gas concentration is larger than the normal threshold value and smaller than the dangerous threshold value; and sending an alarm prompt to a user, wherein the alarm prompt comprises the gas leakage processing time and the position information of the target alarm.
In one possible embodiment, the acquisition unit 201 is configured to acquire the gas concentration rising speed; acquiring the arrival time of the dangerous threshold corresponding to the dangerous threshold according to the relation curve; acquiring gas leakage processing time according to the dangerous threshold value arrival time; the processing unit 202 is configured to input the gas concentration rising speed and the current gas concentration into a preset regression model, so as to obtain a relationship curve of gas concentration and time.
In one possible implementation, the processing unit 202 is configured to send emergency evacuation information to a preset speaker to notify the user of evacuation if the current gas concentration is greater than or equal to the hazard threshold, where the emergency evacuation information includes prompt information to avoid using electrical appliances and switches.
In one possible implementation, the processing unit 202 is configured to display a prompt to the user about whether the emergency call needs to be made; responding to the operation of the user allowing to dial the emergency rescue telephone, and dialing the reserved emergency rescue telephone; after the call is confirmed, a request rescue voice is generated and played, wherein the request rescue voice comprises the position information of the target alarm.
In one possible implementation manner, the obtaining unit 201 is configured to obtain a target air pressure value currently measured by a target air pressure sensor, where the target air pressure sensor is any one of a plurality of preset air pressure sensors, and the preset air pressure sensors are preset on the gas pipeline; if the target air pressure value is not in the preset air pressure range, acquiring the position information of the target air pressure sensor; the processing unit 202 is configured to determine whether the target air pressure value is within a preset air pressure range; and displaying the position information of the target air pressure sensor to a user.
In a possible embodiment, the obtaining unit 201 is configured to obtain the current gas concentration every predetermined time period; and responding to the inquiring operation of the user on the gas concentration, and acquiring the current gas concentration.
In a possible implementation manner, the obtaining unit 201 is configured to obtain a query time input by a user in response to a query operation of the user for gas leakage; the processing unit 202 is configured to construct a correspondence between the current gas concentration and the current time; storing the current gas concentration, the current time and the corresponding relation into a preset gas leakage database to construct and update the preset gas leakage database; searching the gas concentration corresponding to the query time in a preset gas leakage database; and displaying the gas concentration corresponding to the query time to the user.
It should be noted that: in the device provided in the above embodiment, when implementing the functions thereof, only the division of the above functional modules is used as an example, in practical application, the above functional allocation may be implemented by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the embodiments of the apparatus and the method provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the embodiments of the method are detailed in the method embodiments, which are not repeated herein.
The application also discloses a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to perform the gas safety supervision method based on the Internet of things cloud platform disclosed in the specification.
The application also discloses electronic equipment. Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device 300 may include: at least one processor 301, at least one communication bus 302, at least one user interface 303, a network interface 304, a memory 305.
Wherein the communication bus 302 is used to enable connected communication between these components.
The user interface 303 may include a Display screen (Display), a Camera (Camera), and the optional user interface 303 may further include a standard wired interface, and a wireless interface.
The network interface 304 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the processor 301 may include one or more processing cores. The processor 301 utilizes various interfaces and lines to connect various portions of the overall server, perform various functions of the server and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and invoking data stored in the memory 305. Alternatively, the processor 301 may be implemented in hardware in at least one of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 301 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 301 and may be implemented by a single chip.
The Memory 305 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 305 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 305 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. Memory 305 may also optionally be at least one storage device located remotely from the aforementioned processor 301. Referring to fig. 3, an operating system, a network communication module, a user interface module, and a gas safety supervision application may be included in the memory 305 as one type of computer storage medium.
In the electronic device 300 shown in fig. 3, the user interface 303 is mainly used for providing an input interface for a user, and acquiring data input by the user; and the processor 301 may be configured to invoke a gas safety supervision application stored in the memory 305, which when executed by the one or more processors 301, causes the electronic device 300 to perform the method as in one or more of the embodiments described above. It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided herein, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.
The above are merely exemplary embodiments of the present disclosure and are not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure.
This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.

Claims (8)

1. The gas safety supervision method based on the internet of things cloud platform is characterized by being applied to the internet of things cloud platform, and comprises the following steps:
acquiring the current gas concentration, wherein the current gas concentration is the gas concentration detected by a target alarm;
judging whether the current gas concentration is larger than a normal threshold value and smaller than a dangerous threshold value;
if the current gas concentration is larger than the normal threshold and smaller than the dangerous threshold, acquiring gas leakage processing time according to the current gas concentration and the dangerous threshold;
and sending an alarm prompt to a user, wherein the alarm prompt comprises the gas leakage processing time and the position information of the target alarm.
2. The method of claim 1, wherein the obtaining a gas leakage processing time based on the current gas concentration and the hazard threshold comprises:
acquiring the rising speed of the concentration of the fuel gas;
inputting the rising speed of the gas concentration and the current gas concentration into a preset regression model to obtain a relation curve of the gas concentration and time;
acquiring dangerous threshold arrival time corresponding to the dangerous threshold according to the relation curve;
and acquiring the gas leakage processing time according to the dangerous threshold value arrival time.
3. The method of claim 1, wherein after said determining whether the current gas concentration is greater than a normal threshold and less than a hazard threshold, the method further comprises:
and if the current gas concentration is greater than or equal to the dangerous threshold, sending emergency evacuation information to a preset loudspeaker so as to inform the user of evacuation, wherein the emergency evacuation information comprises prompt information for avoiding using electric appliances and switches.
4. A method according to claim 3, wherein after said transmitting the emergency evacuation information to the preset speaker, the method further comprises:
displaying prompt information of whether an emergency rescue call needs to be dialed or not to the user;
in response to the operation of the user allowing the emergency rescue call to be dialed, dialing a reserved emergency rescue call;
after the dialing of the telephone is confirmed, a request rescue voice is generated and played, wherein the request rescue voice comprises the position information of the target alarm.
5. The method of claim 1, wherein after the sending of the alert prompt to the user, the method further comprises:
acquiring a target air pressure value currently measured by a target air pressure sensor, wherein the target air pressure sensor is any one of a plurality of preset air pressure sensors, and the preset air pressure sensors are preset on a gas pipeline;
judging whether the target air pressure value is within a preset air pressure range;
if the target air pressure value is not in the preset air pressure range, acquiring the position information of the target air pressure sensor;
and displaying the position information of the target air pressure sensor to the user.
6. The method according to claim 1, wherein the obtaining the current gas concentration specifically comprises any one of the following modes:
acquiring the current gas concentration every preset time period;
and responding to the inquiring operation of the user on the gas concentration, and acquiring the current gas concentration.
7. The method of claim 1, wherein after the sending of the alert prompt to the user, the method further comprises:
constructing a corresponding relation between the current gas concentration and the current time;
storing the current gas concentration, the current time and the corresponding relation into a preset gas leakage database to construct and update the preset gas leakage database;
responding to the query operation of the user for gas leakage, and acquiring the query time input by the user;
searching the gas concentration corresponding to the query time in the preset gas leakage database;
and displaying the gas concentration corresponding to the inquiry time to the user.
8. The gas safety supervision device based on the cloud platform of the Internet of things is characterized by comprising an acquisition unit (201) and a processing unit (202):
the acquisition unit (201) is used for acquiring the current gas concentration, wherein the current gas concentration is the gas concentration detected by the target alarm;
the processing unit (202) is used for judging whether the current gas concentration is greater than a normal threshold value and less than a dangerous threshold value;
the processing unit (202) is further configured to obtain a gas leakage processing time according to the current gas concentration and the dangerous threshold if the current gas concentration is greater than the normal threshold and less than the dangerous threshold;
the processing unit (202) sends an alarm prompt to a user, wherein the alarm prompt comprises the gas leakage processing time and the position information of the target alarm.
CN202311533036.1A 2023-11-17 2023-11-17 Gas safety supervision method and device based on Internet of things cloud platform Pending CN117255123A (en)

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