CN114241735B - Method and system for high risk positioning of sensing data loading IP address in model - Google Patents
Method and system for high risk positioning of sensing data loading IP address in model Download PDFInfo
- Publication number
- CN114241735B CN114241735B CN202111593733.7A CN202111593733A CN114241735B CN 114241735 B CN114241735 B CN 114241735B CN 202111593733 A CN202111593733 A CN 202111593733A CN 114241735 B CN114241735 B CN 114241735B
- Authority
- CN
- China
- Prior art keywords
- sensor
- geographic position
- position information
- information
- router
- 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
- 238000000034 method Methods 0.000 title claims abstract description 35
- 230000007613 environmental effect Effects 0.000 claims abstract description 37
- 239000000428 dust Substances 0.000 claims description 6
- 230000004807 localization Effects 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 description 12
- 230000002159 abnormal effect Effects 0.000 description 4
- 238000004590 computer program Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Telephonic Communication Services (AREA)
- Alarm Systems (AREA)
Abstract
The application discloses a method and a system for high risk positioning of a sensor data loading IP address in a model, wherein the method comprises the following steps: receiving information sent by a sensor, wherein the information comprises environmental data detected by the sensor; judging whether the environmental data is within a safety threshold range or not; if the environment data is not within the safety threshold value range, acquiring the network address of the sensor from the information sent by the sensor; acquiring geographic position information of the sensor according to the network address; and sending alarm information, wherein the alarm information is used for indicating that the environment data exceeds the safety threshold range, and the alarm information carries the geographic position information. The method and the device solve the problem that the sensor cannot be positioned according to the sensor data in the prior art, so that the geographic position of the sensor can be found in time, and possibility is provided for timely processing risks.
Description
Technical Field
The application relates to the field of Internet of things, in particular to a method and a system for positioning a sensing data loading IP address in a model at high risk.
Background
Currently, sensors are generally used for monitoring high-risk areas, and if abnormal conditions occur, the abnormal conditions can be found out in time.
Along with the increasing monitoring range, the number of the sensors is increased, when the data transmitted back by the sensors are judged to be abnormal, the sensors cannot be positioned timely, the abnormal conditions can be affected, and therefore risks cannot be eliminated timely.
Disclosure of Invention
The embodiment of the application provides a method and a system for positioning a sensor data loading IP address in a model at high risk, which at least solve the problem caused by the fact that a sensor cannot be positioned according to sensor data in the prior art.
According to one aspect of the present application, there is provided a method for high risk localization of a sensor data loaded IP address in a model, comprising: receiving information sent by a sensor, wherein the information comprises environmental data detected by the sensor; judging whether the environmental data is within a safety threshold range or not; if the environment data is not within the safety threshold value range, acquiring the network address of the sensor from the information sent by the sensor; acquiring geographic position information of the sensor according to the network address; and sending alarm information, wherein the alarm information is used for indicating that the environment data exceeds the safety threshold range, and the alarm information carries the geographic position information.
Further, before determining whether the environmental data is within a safety threshold, the method further comprises: receiving the safety threshold range input by a user; and saving the safety threshold range.
Further, determining whether the environmental data is within a safe threshold range includes: acquiring the type of the sensor; searching a safety threshold range corresponding to the type according to the type of the sensor; and judging whether the environmental data is within a safety threshold range corresponding to the sensor type.
Further, the sensor includes at least one of: temperature sensor, dust sensor, humidity sensor, gas concentration sensor.
According to another aspect of the present application, there is provided a system for high risk localization of a sensor data loaded IP address in a model, comprising: the receiving module is used for receiving information sent by the sensor, wherein the information comprises environmental data detected by the sensor; the judging module is used for judging whether the environmental data is in a safety threshold range or not; the first acquisition module is used for acquiring the network address of the sensor from the information sent by the sensor if the environment data is not within the safety threshold range; the second acquisition module is used for acquiring the geographic position information of the sensor according to the network address; the sending module is used for sending alarm information, wherein the alarm information is used for indicating that the environment data exceeds the safety threshold range, and the alarm information carries the geographic position information.
Further, the method further comprises the following steps: the storage module is used for receiving the safety threshold range input by a user; and saving the safety threshold range.
Further, the judging module is used for: acquiring the type of the sensor; searching a safety threshold range corresponding to the type according to the type of the sensor; and judging whether the environmental data is within a safety threshold range corresponding to the sensor type.
Further, the sensor includes at least one of: temperature sensor, dust sensor, humidity sensor, gas concentration sensor.
According to still another aspect of the present application, there is provided a storage medium storing a program for executing the method.
According to yet another aspect of the present application, a processor is provided for storing a program for performing the method.
In the embodiment of the application, the information sent by the sensor is received, wherein the information comprises the environmental data detected by the sensor; judging whether the environmental data is within a safety threshold range or not; if the environment data is not within the safety threshold value range, acquiring the network address of the sensor from the information sent by the sensor; acquiring geographic position information of the sensor according to the network address; and sending alarm information, wherein the alarm information is used for indicating that the environment data exceeds the safety threshold range, and the alarm information carries the geographic position information. The method and the device solve the problem that the sensor cannot be positioned according to the sensor data in the prior art, so that the geographic position of the sensor can be found in time, and possibility is provided for timely processing risks.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:
FIG. 1 is a flow chart of a method for high risk localization of a sensory data loaded IP address in a model according to an embodiment of the present application.
Detailed Description
It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.
In an embodiment of the present application, a method for locating a sensor data loading IP address at high risk in a model is provided, and fig. 1 is a flowchart of a method for locating a sensor data loading IP address at high risk in a model according to an embodiment of the present application, as shown in fig. 1, the method includes the following steps:
step S102, receiving information sent by a sensor, wherein the information comprises environmental data detected by the sensor;
step S104, judging whether the environmental data is within a safety threshold range;
step S106, if the environment data is not within the safety threshold value range, acquiring the network address of the sensor from the information sent by the sensor;
step S108, obtaining the geographic position information of the sensor according to the network address;
in an alternative embodiment, the geographical location information of the sensor is obtained according to the network address (i.e. the IP address), whether the range indicated by the geographical location information is greater than a predetermined range is determined, if the range is less than or equal to the predetermined range, the geographical location information is used as the geographical location information of the sensor, if the range is greater than or equal to the predetermined range, the route information of the information sent by the sensor is obtained, wherein the route information comprises the IP address of each hop from the sensor to the server receiving the sensor information, one hop is passed through a router, the IP address of the router closest to the sensor is obtained, the geographical location information of the router is determined according to the IP address of the router, and if the range of the geographical location information of the router is less than or equal to the predetermined range, the geographical location information of the router is used as the geographical location information of the sensor.
The router, as a stationary device, is configured with an accurate geographical location. At this time, when the range of the geographical position information acquired according to the IP address of the router is greater than the predetermined range, the geographical position preconfigured in the router is acquired, if the geographical position preconfigured in the router is acquired, the geographical position preconfigured in the router is used as the geographical position information where the sensor is located, and if the acquisition fails, the acquisition of the geographical position information unique to the sensor fails. The routers here are all routers closest to the sensor by one hop.
Step S110, sending alarm information, wherein the alarm information is used for indicating that the environment data exceeds the safety threshold range, and the alarm information carries the geographic position information.
By the embodiment, the information sent by the sensor is received, wherein the information comprises the environmental data detected by the sensor; judging whether the environmental data is within a safety threshold range or not; if the environment data is not within the safety threshold value range, acquiring the network address of the sensor from the information sent by the sensor; acquiring geographic position information of the sensor according to the network address; and sending alarm information, wherein the alarm information is used for indicating that the environment data exceeds the safety threshold range, and the alarm information carries the geographic position information. The embodiment of the application solves the problem that the sensor cannot be positioned according to the sensor data in the prior art, so that the geographic position of the sensor can be timely found, and the possibility of timely processing risks is provided.
Preferably, before determining in step S104 whether the environmental data is within a safety threshold, the method further comprises: receiving the safety threshold range input by a user; and saving the safety threshold range.
Preferably, in step S104, determining whether the environmental data is within a safety threshold range includes: acquiring the type of the sensor; searching a safety threshold range corresponding to the type according to the type of the sensor; and judging whether the environmental data is within a safety threshold range corresponding to the sensor type.
Wherein the sensor comprises at least one of: temperature sensor, dust sensor, humidity sensor, gas concentration sensor.
Optionally, since the environmental data exceeding the safety threshold range is different, the risk level of the description is also different, so, in order to be able to clearly indicate the risk level, this embodiment may further include: presetting a plurality of thresholds of risk degrees, and judging the level of risk according to the thresholds of the risk degrees.
For example, a first threshold above the upper limit of the safety threshold range is set as a first risk level, a second threshold above the upper limit of the safety threshold range is set as a second risk level, a third threshold above the upper limit of the safety threshold range is set as a third risk level, and so on.
As an optional implementation manner, in step S110, the sent alarm information is further used to indicate a risk level at which the environmental data is located, for example, to indicate that the risk level is one of the following: a first risk level, a second risk level, a third risk level.
As an optional implementation manner, in order to facilitate timely eliminating risk and timely knowing the distance from the monitoring area to the position of the sensor, the method further includes: obtaining geographic position information of a monitoring area; and calculates the distance from the monitoring area to the sensor according to the geographical position information of the monitoring area and the geographical position information of the sensor in step S108.
More preferably, the alarm information is also used to indicate the distance of the monitoring area to the sensor.
As an alternative implementation manner, a unit or a person who can handle the risk can be searched according to the geographical position information of the sensor, and the unit or the person can handle the risk and is smaller than a preset distance from the geographical position corresponding to the geographical position information.
In this embodiment, there is provided an electronic device including a memory in which a computer program is stored, and a processor configured to run the computer program to perform the method in the above embodiment.
The above-described programs may be run on a processor or may also be stored in memory (or referred to as computer-readable media), including both permanent and non-permanent, removable and non-removable media, and information storage may be implemented by any method or technique. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
These computer programs may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks and/or block diagram block or blocks, and corresponding steps may be implemented in different modules.
Such an apparatus or system is provided in this embodiment. The system is called a system for high risk localization of a sensor data loading IP address in a model, the system comprising: the receiving module is used for receiving information sent by the sensor, wherein the information comprises environmental data detected by the sensor; the judging module is used for judging whether the environmental data is in a safety threshold range or not; the first acquisition module is used for acquiring the network address of the sensor from the information sent by the sensor if the environment data is not within the safety threshold range; the second acquisition module is used for acquiring the geographic position information of the sensor according to the network address; the sending module is used for sending alarm information, wherein the alarm information is used for indicating that the environment data exceeds the safety threshold range, and the alarm information carries the geographic position information.
Preferably, the system further comprises: the storage module is used for receiving the safety threshold range input by a user; and saving the safety threshold range.
Preferably, the judging module is configured to: acquiring the type of the sensor; searching a safety threshold range corresponding to the type according to the type of the sensor; and judging whether the environmental data is within a safety threshold range corresponding to the sensor type.
Wherein the sensor comprises at least one of: temperature sensor, dust sensor, humidity sensor, gas concentration sensor.
Optionally, since the environmental data exceeding the safety threshold range is different, the risk level of the description is also different, so, in order to be able to clearly indicate the risk level, this embodiment may further include: the setting module is used for presetting a plurality of thresholds of risk degrees and judging the level of risk according to the thresholds of the risk degrees.
For example, a first threshold above the upper limit of the safety threshold range is set as a first risk level, a second threshold above the upper limit of the safety threshold range is set as a second risk level, a third threshold above the upper limit of the safety threshold range is set as a third risk level, and so on.
As an optional implementation manner, the alarm information sent by the sending module is further used for indicating a risk level at which the environmental data is located, for example, indicating that the risk level at which the environmental data is located is one of the following: a first risk level, a second risk level, a third risk level.
As an optional implementation manner, in order to facilitate timely eliminating risk and timely knowing the distance from the monitoring area to the position of the sensor, the system further includes: the third acquisition module is used for acquiring geographic position information of the monitoring area; and a calculating module, configured to calculate a distance from the monitoring area to the sensor according to the geographical location information of the monitoring area and the geographical location information where the sensor is located in step S108.
More preferably, the alarm information sent by the sending module is further used for indicating the distance between the monitoring area and the sensor.
Through the embodiment, a receiving module is adopted to receive information sent by a sensor, wherein the information comprises environmental data detected by the sensor; the judging module judges whether the environmental data is within a safety threshold range or not; the first acquisition module acquires a network address of the sensor from information sent by the sensor if the environment data is not within the safety threshold range; the second acquisition module acquires geographic position information of the sensor according to the network address; the sending module sends alarm information, wherein the alarm information is used for indicating that the environment data exceeds the safety threshold range, and the alarm information carries the geographic position information. The embodiment of the application solves the problem that the sensor cannot be positioned according to the sensor data in the prior art, so that the geographic position of the sensor can be timely found, and the possibility of timely processing risks is provided.
The system or the device is used for realizing the functions of the method in the above embodiment, and each module in the system or the device corresponds to each step in the method, which has been described in the method, and will not be described herein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (10)
1. A method for high risk localization of a sensor data loaded IP address in a model, comprising:
receiving information sent by a sensor, wherein the information comprises environmental data detected by the sensor;
judging whether the environmental data is within a safety threshold range or not;
if the environment data is not within the safety threshold value range, acquiring the network address of the sensor from the information sent by the sensor;
acquiring geographic position information of the sensor according to the network address; the method comprises the steps of acquiring geographic position information of a sensor according to a network address, judging whether a range indicated by the geographic position information is larger than a preset range, if the range indicated by the geographic position information is smaller than or equal to the preset range, using the geographic position information as the geographic position information of the sensor, if the range indicated by the geographic position information is larger than the preset range, acquiring route information of information sent by the sensor, wherein the route information comprises an IP address of each hop from the sensor to a server receiving the sensor information, one hop is the router, the IP address of a router closest to the sensor is acquired, the geographic position information of the router is determined according to the IP address of the router, and if the range indicated by the geographic position information of the router is smaller than or equal to the preset range, the geographic position information of the router is used as the geographic position information of the sensor; acquiring a pre-configured geographic position in a router under the condition that the range of geographic position information acquired according to an IP address of the router is larger than the preset range, if the geographic position information is acquired, taking the pre-configured geographic position in the router as geographic position information where the sensor is located, and if the geographic position information is failed to acquire, acquiring the unique geographic position information of the sensor fails, wherein the routers are routers closest to the sensor;
and sending alarm information, wherein the alarm information is used for indicating that the environment data exceeds the safety threshold range, and the alarm information carries the geographic position information.
2. The method of claim 1, wherein prior to determining whether the environmental data is within a safe threshold, the method further comprises:
receiving the safety threshold range input by a user;
and saving the safety threshold range.
3. The method of claim 2, wherein determining whether the environmental data is within a safe threshold comprises: acquiring the type of the sensor;
searching a safety threshold range corresponding to the type according to the type of the sensor;
and judging whether the environmental data is within a safety threshold range corresponding to the sensor type.
4. A method according to any one of claims 1 to 3, wherein the sensor comprises at least one of: temperature sensor, dust sensor, humidity sensor, gas concentration sensor.
5. A system for high risk localization of a sensor data loaded IP address in a model, comprising:
the receiving module is used for receiving information sent by the sensor, wherein the information comprises environmental data detected by the sensor;
the judging module is used for judging whether the environmental data is in a safety threshold range or not;
the first acquisition module is used for acquiring the network address of the sensor from the information sent by the sensor if the environment data is not within the safety threshold range;
the second acquisition module is used for acquiring the geographic position information of the sensor according to the network address; the method comprises the steps of acquiring geographic position information of a sensor according to a network address, judging whether a range indicated by the geographic position information is larger than a preset range, if the range indicated by the geographic position information is smaller than or equal to the preset range, using the geographic position information as the geographic position information of the sensor, if the range indicated by the geographic position information is larger than the preset range, acquiring route information of information sent by the sensor, wherein the route information comprises an IP address of each hop from the sensor to a server receiving the sensor information, one hop is the router, the IP address of a router closest to the sensor is acquired, the geographic position information of the router is determined according to the IP address of the router, and if the range indicated by the geographic position information of the router is smaller than or equal to the preset range, the geographic position information of the router is used as the geographic position information of the sensor; acquiring a pre-configured geographic position in a router under the condition that the range of geographic position information acquired according to an IP address of the router is larger than the preset range, if the geographic position information is acquired, taking the pre-configured geographic position in the router as geographic position information where the sensor is located, and if the geographic position information is failed to acquire, acquiring the unique geographic position information of the sensor fails, wherein the routers are routers closest to the sensor;
the sending module is used for sending alarm information, wherein the alarm information is used for indicating that the environment data exceeds the safety threshold range, and the alarm information carries the geographic position information.
6. The system of claim 5, further comprising:
the storage module is used for receiving the safety threshold range input by a user; and saving the safety threshold range.
7. The system of claim 6, wherein the determination module is configured to:
acquiring the type of the sensor;
searching a safety threshold range corresponding to the type according to the type of the sensor;
and judging whether the environmental data is within a safety threshold range corresponding to the sensor type.
8. The system of any one of claims 5 to 7, wherein the sensor comprises at least one of: temperature sensor, dust sensor, humidity sensor, gas concentration sensor.
9. A storage medium storing a program for executing the method of any one of claims 1 to 4.
10. A processor, characterized by storing a program for executing the method of any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111593733.7A CN114241735B (en) | 2021-12-24 | 2021-12-24 | Method and system for high risk positioning of sensing data loading IP address in model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111593733.7A CN114241735B (en) | 2021-12-24 | 2021-12-24 | Method and system for high risk positioning of sensing data loading IP address in model |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114241735A CN114241735A (en) | 2022-03-25 |
| CN114241735B true CN114241735B (en) | 2023-10-24 |
Family
ID=80762301
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111593733.7A Active CN114241735B (en) | 2021-12-24 | 2021-12-24 | Method and system for high risk positioning of sensing data loading IP address in model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114241735B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102291299A (en) * | 2011-08-08 | 2011-12-21 | 北京酷智科技有限公司 | Internet location positioning method and system based on network routing path |
| KR101796054B1 (en) * | 2016-09-02 | 2017-12-01 | (주)유비쿼터스통신 | Smart fire perception system using ip network |
| CN109661012A (en) * | 2018-12-28 | 2019-04-19 | 苏州迈荣祥信息科技有限公司 | Information collection and processing method, apparatus and system |
| CN110881278A (en) * | 2018-05-31 | 2020-03-13 | 深圳市蚂蚁雄兵物联技术有限公司 | Alarm method, device and computer readable medium |
| CN111179528A (en) * | 2020-01-02 | 2020-05-19 | 重庆特斯联智慧科技股份有限公司 | Building fire alarm escape and tracking system with fire condition state sensing |
| CN111341045A (en) * | 2020-02-03 | 2020-06-26 | 重庆特斯联智慧科技股份有限公司 | Dynamic building fire alarm escape response method |
| CN111813023A (en) * | 2020-07-22 | 2020-10-23 | 岩联(武汉)科技有限公司 | Static load detection device and method for automatically identifying displacement sensor |
| CN214847029U (en) * | 2021-04-15 | 2021-11-23 | 安徽大学 | Indoor fire monitoring and early warning device based on NB-IoT technology |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7623534B1 (en) * | 2005-09-09 | 2009-11-24 | At&T Intellectual Property I, Lp | Method and systems for content access and distribution |
-
2021
- 2021-12-24 CN CN202111593733.7A patent/CN114241735B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102291299A (en) * | 2011-08-08 | 2011-12-21 | 北京酷智科技有限公司 | Internet location positioning method and system based on network routing path |
| KR101796054B1 (en) * | 2016-09-02 | 2017-12-01 | (주)유비쿼터스통신 | Smart fire perception system using ip network |
| CN110881278A (en) * | 2018-05-31 | 2020-03-13 | 深圳市蚂蚁雄兵物联技术有限公司 | Alarm method, device and computer readable medium |
| CN109661012A (en) * | 2018-12-28 | 2019-04-19 | 苏州迈荣祥信息科技有限公司 | Information collection and processing method, apparatus and system |
| CN111179528A (en) * | 2020-01-02 | 2020-05-19 | 重庆特斯联智慧科技股份有限公司 | Building fire alarm escape and tracking system with fire condition state sensing |
| CN111341045A (en) * | 2020-02-03 | 2020-06-26 | 重庆特斯联智慧科技股份有限公司 | Dynamic building fire alarm escape response method |
| CN111813023A (en) * | 2020-07-22 | 2020-10-23 | 岩联(武汉)科技有限公司 | Static load detection device and method for automatically identifying displacement sensor |
| CN214847029U (en) * | 2021-04-15 | 2021-11-23 | 安徽大学 | Indoor fire monitoring and early warning device based on NB-IoT technology |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114241735A (en) | 2022-03-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107426693B (en) | Positioning method and device | |
| EP2856382A1 (en) | Method, apparatus and system of controlling remote login | |
| CN108776634B (en) | Cabinet environment exception handling method and device | |
| CN111600746A (en) | Network fault positioning method, device and equipment | |
| CN109560976B (en) | Message delay monitoring method and device | |
| CN107567071B (en) | Method and equipment for inquiring wireless hotspot | |
| CN113641526A (en) | Alarm root cause positioning method and device, electronic equipment and computer storage medium | |
| CN110874932A (en) | Method, device and system for identifying number of axles | |
| CN113807610B (en) | Flight fatigue prediction method and system | |
| CN113189664B (en) | Object placing state detection method and device | |
| CN114241735B (en) | Method and system for high risk positioning of sensing data loading IP address in model | |
| CN109600272B (en) | Crawler detection method and device | |
| CN111181957B (en) | Internet of things equipment security verification method and system and central control equipment | |
| CN110972071A (en) | Multi-mode positioning method, positioning server, terminal and storage medium | |
| CN113468384B (en) | Processing method, device, storage medium and processor for network information source information | |
| CN110912900B (en) | Boundary intelligent security monitoring method, device and equipment based on Internet of things | |
| CN114625611A (en) | Monitoring method and device for quantum computing environment and storage medium | |
| CN114691443A (en) | Cross section data sending method and device, electronic equipment and storage medium | |
| CN110620703A (en) | Http-based service node state determination method | |
| US20230254806A1 (en) | Positioning method, edge computing platform, positioning platform, and computer-readable medium | |
| CN111901174A (en) | Service state notification method, related device and storage medium | |
| CN112631853A (en) | Data monitoring method, task monitoring method, system and computer readable medium | |
| CN111049671A (en) | System integration method and device | |
| CN114500454B (en) | Method and device for detecting geographic position change of electronic equipment | |
| CN113553193B (en) | Mirror image data auditing and distributing processing method and system |
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 |