CN115439998B - Cloud number linkage monitoring and grading alarm system for dangerous chemical warehouse - Google Patents
Cloud number linkage monitoring and grading alarm system for dangerous chemical warehouse Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
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- G08—SIGNALLING
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- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- 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
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/12—Alarms for ensuring the safety of persons responsive to undesired emission of substances, e.g. pollution alarms
- G08B21/16—Combustible gas alarms
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- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The application relates to a cloud number linkage monitoring and grading alarm system for a dangerous chemical warehouse, which comprises a front-end sensor module, a plurality of intelligent gateways, a database and a cloud platform, wherein the front-end sensor module, the plurality of intelligent gateways, the database and the cloud platform are sequentially connected, and the cloud platform is connected with the plurality of intelligent gateways; the front-end sensor module is used for collecting environment data of the dangerous chemical warehouse and sending the environment data to each intelligent gateway, and each intelligent gateway is used for sending the received environment data to the cloud platform through the database after unifying the formats of the environment data; triggering an alarm when the environmental data collected by the front-end sensor module is abnormal, and sending alarm information to each intelligent gateway; each intelligent gateway judges whether the alarm information is correct according to the received environmental data, and if so, the alarm information is sent to the cloud platform through the database; and the cloud platform judges whether the alarm information is correct or not again according to the received environment data. The application can effectively ensure the safety of the dangerous chemical warehouse.
Description
Technical Field
The application relates to the technical field of dangerous chemical monitoring, in particular to a cloud number linkage monitoring hierarchical alarm system for a dangerous chemical warehouse.
Background
Dangerous chemical storage is an important stage in the whole process management of dangerous chemicals, and accidents such as fire, leakage and explosion of the chemicals can seriously endanger personnel safety and cause economic loss. Therefore, parameters such as concentration, temperature and humidity of harmful or inflammable gas in the dangerous chemical warehouse can be monitored in real time, and accidents can be effectively prevented.
Along with the continuous deep research of the technology of the Internet of things, the information is acquired more conveniently, and the data transmission quantity is increased continuously. However, the original information acquired by the wireless sensor network at the present stage has obvious uncertainty due to inconsistent information form and content, inconsistent information space-time relationship, inconsistent reporting format and the like. In addition, when the event is judged to form a result, the staff is difficult to arrive at the scene at the first time, so that the remote action on the related equipment at the scene of the accident is also important in time.
At present, the conventional monitoring method of dangerous chemicals mainly completes periodic monitoring of inflammable and explosive gas, no obvious alarm measures are needed under abnormal conditions, a great amount of manpower and material resources are needed to carry out timing observation, and monitoring equipment cannot form a uniform and simple monitoring means due to different alarm modes caused by different manufacturers, so that an alarm system supporting event type state message activation and multiple fusion comprehensive information acquisition is urgently needed.
Disclosure of Invention
The application aims to solve the technical problem of providing a cloud number linkage monitoring and grading alarm system for a dangerous chemical warehouse, which can effectively ensure the safety of the dangerous chemical warehouse through two-stage alarm judgment and fusion analysis in the judgment process.
The technical scheme adopted for solving the technical problems is as follows: the cloud number linkage monitoring and grading alarm system for the dangerous chemical warehouse comprises a front-end sensor module, a plurality of intelligent gateways, a database and a cloud platform which are sequentially connected, wherein the cloud platform is connected with the plurality of intelligent gateways; the front-end sensor module is used for collecting environment data of the dangerous chemical warehouse and sending the environment data to each intelligent gateway, and each intelligent gateway is used for sending the received environment data to the cloud platform through the database after unifying the formats of the environment data;
triggering an alarm when the environmental data collected by the front-end sensor module is abnormal, and sending alarm information to each intelligent gateway; each intelligent gateway judges whether the alarm information is correct according to the received environmental data, and sends the alarm information to the cloud platform through the database; and the cloud platform judges whether the alarm information is correct again according to the received environment data.
Each intelligent gateway judges whether the alarm information is correct according to the received environmental data, specifically: and each intelligent gateway judges whether the environmental data collected by each sensor in the front-end sensor module exceeds the standard according to the preset weight from high to low, and if the environmental data collected by at least one sensor exceeds the standard, the intelligent gateway judges that the alarm information of the front-end sensor module is correct and sends the alarm information to a database to form a front-end alarm.
Each intelligent gateway judges whether the alarm information is correct according to the received environmental data, and the method further comprises the following steps: and carrying out joint analysis on the data acquired by the temperature sensor or the humidity sensor and the image data acquired by the image sensor to judge whether the alarm information of the front-end sensor module is correct.
The joint analysis of the data collected by the temperature sensor or the humidity sensor and the image data collected by the image sensor comprises the following specific steps:
if the temperature data acquired by the temperature sensor is more than or equal to the temperature threshold value and the image data acquired by the image sensor detects flame or smoke, the alarm information of the front-end sensor module is correct;
if the humidity data collected by the humidity sensor is more than or equal to the humidity threshold value and the ground humidity of the image data collected by the image sensor is more than or equal to the ground humidity threshold value, the alarm information of the front-end sensor module is correct.
The cloud platform judges whether the alarm information is correct again according to the received environment data, and the cloud platform further comprises: and the cloud platform judges whether the alarm information is correct by judging whether the number of intelligent gateways causing the front-end alarm exceeds the preset number.
The intelligent gateway is connected with a fan and a water pump which are arranged in the dangerous chemical warehouse, and when the intelligent gateway judges that the alarm information is correct according to the received environmental data, the fan or the water pump is controlled to be started.
And when the cloud platform judges that the alarm information is correct again according to the received environment data, the cloud platform starts a back-end alarm.
When the cloud platform judges whether the alarm information is correct again according to the received environment data, if the alarm information judged by the cloud platform is inconsistent with the alarm information judged by the intelligent gateway, the cloud platform controls the fan or the water pump to start again through the intelligent gateway.
Advantageous effects
Due to the adoption of the technical scheme, compared with the prior art, the application has the following advantages and positive effects: the application provides a new solution and means for the storage and management of the dangerous chemical warehouse, so that various sensitive elements can be subjected to information fusion and unified management, and more efficient on-site monitoring and scheduling are realized; according to the cloud number linkage comprehensive information judgment method, the probability of false alarm of accidents is reduced, and meanwhile, the efficiency of on-site linkage treatment and the information acquisition speed in the event occurrence are improved.
Drawings
FIG. 1 is a schematic diagram of the overall architecture of the system of the present embodiment;
FIG. 2 is a system workflow diagram of the present embodiment;
fig. 3 is a front-end alarm flowchart of the present embodiment;
fig. 4 is a back-end alarm flowchart of the present embodiment.
Detailed Description
The application will be further illustrated with reference to specific examples. It is to be understood that these examples are illustrative of the present application and are not intended to limit the scope of the present application. Furthermore, it should be understood that various changes and modifications can be made by one skilled in the art after reading the teachings of the present application, and such equivalents are intended to fall within the scope of the application as defined in the appended claims.
The embodiment of the application relates to a cloud number linkage monitoring and grading alarm system for a hazardous chemical substance warehouse, referring to fig. 1, comprising a front end and a rear end which are connected with each other, wherein the front end comprises a front end sensor module and an intelligent gateway which are sequentially connected, and the rear end comprises a database and a cloud platform which are sequentially connected. The front-end sensor module integrates various sensitive elements such as temperature, humidity, carbon monoxide concentration, methane concentration, wind speed, wind direction, water pressure, images and the like in a wired and wireless communication mode, and realizes online collection of safety supervision data such as monitoring of the internal and external environments of a storehouse, stacking of dangerous chemicals, fire rescue facilities and the like and local fusion analysis and alarm of multi-source data through intelligent gateway summarized data, cloud platform fusion judgment and cloud number linkage.
The present embodiment will be described in detail below:
the front-end sensor module is used for sensing various environmental data in the warehouse, and has an event triggering function except for wind speed and wind direction sensors; the intelligent gateway has the functions of processing front-end and back-end communication, unifying different data formats of the sensor and front-end alarming. When abnormal data appear in the sensor, audible and visual alarm is triggered, the intelligent gateway can control equipment such as a field fan or a water pump to start after locally judging that the alarm information is correct, and meanwhile, an event packet (generated by the alarm information) is sent to a database to form a front-end alarm, and further judging processing is executed by the cloud platform. The front-end alarm judged by the intelligent gateway is a primary alarm, and the rear-end alarm judged by the cloud platform is a secondary alarm.
It should be noted that the intelligent gateway will send the data packet to the database, and then the data packet is transmitted to the cloud platform by the database. The data packet comprises an event packet and a period packet, wherein the event packet is generated by alarm information of the intelligent gateway and can be immediately uploaded to the cloud platform; and periodically uploading the sensor data acquisition information to the cloud platform, wherein the periodic packet is normal sensor data acquisition information.
Further, each intelligent gateway judges whether the environmental data collected by each sensor in the front-end sensor module exceeds the standard according to the preset weight from high to low, and if the environmental data collected by at least one sensor exceeds the standard, the intelligent gateway judges that the alarm information of the front-end sensor module is correct and sends the alarm information to a database to form a front-end alarm.
Further, each intelligent gateway judges whether the alarm information is correct according to the received environmental data, and the method further comprises the following steps: the data collected by the temperature sensor or the humidity sensor and the image data collected by the image sensor are subjected to joint analysis, and the joint analysis is specifically as follows:
(1) If the temperature data acquired by the temperature sensor is more than or equal to the temperature threshold value and the image data acquired by the image sensor detects flame or smoke, the alarm information of the front-end sensor module is correct;
(2) If the humidity data collected by the humidity sensor is more than or equal to the humidity threshold value and the ground humidity of the image data collected by the image sensor is more than or equal to the ground humidity threshold value, the alarm information of the front-end sensor module is correct.
Further, the cloud platform not only can conduct re-judgment according to the judgment process of the intelligent gateways, but also can judge whether the alarm information is correct by judging whether the number of the intelligent gateways causing the front-end alarm exceeds the preset number.
Further, the intelligent gateway is connected with a fan and a water pump which are arranged in the dangerous chemical warehouse, and when the intelligent gateway judges that the alarm information is correct according to the received environmental data, the fan or the water pump is controlled to be started.
Further, when the cloud platform judges whether the alarm information is correct again according to the received environmental data, if the alarm information judged by the cloud platform is inconsistent with the alarm information judged by the intelligent gateway, the cloud platform controls the fan or the water pump to start again through the intelligent gateway.
Specifically, in order to make a response to an emergency faster, the local decision of the intelligent gateway only collects the data of the sensor connected to the intelligent gateway, and the cloud platform decision is a comprehensive decision of gathering more other intelligent gateway data. If the intelligent gateway judges that the water pump or the fan does not need to be started and then the cloud platform judges that the water pump or the fan needs to be started, a command for starting the fan and the water pump by the intelligent gateway is issued; if the intelligent gateway judges that the water pump or the fan needs to be turned on and then the cloud platform judges that the water pump or the fan does not need to be turned on, a command for the intelligent gateway to turn off the fan and the water pump is issued.
After the cloud number linkage is that the occurrence of an event is determined, the cloud platform rapidly sends alarm information, parameter values and videos of components on site are pushed to related personnel, and one or more intelligent gateways remotely send control commands to warehouse fans, water pumps or other relay controllable equipment to respond according to the event type.
As shown in fig. 2, the present embodiment includes the steps of:
(a) The front-end sensor module reports alarm information to the intelligent gateway;
(b) The intelligent gateway judges alarm information and issues control commands;
(c) The intelligent gateway reports the alarm information (namely event package) of the front-end sensor to a database;
(d) The database receives the alarm information of the front-end sensor and sends the alarm information to the cloud platform;
(e) (f) the cloud platform judges alarm information and controls in a linkage way;
(g) The back end alarms and the field information are pushed;
(h) Related personnel process and feedback.
Said step (b) further comprises the steps of:
(b1) Fusion judgment is carried out according to the data of different weights of the multiple sensors;
(b2) The intelligent gateway judges whether the alarm information is correct, and if so, the intelligent gateway executes the step (b 3). If the alarm information is judged to be misreported, a periodic packet is sent to a database. Repeating steps (b 1) - (b 2) for each (a);
(b3) And sending the event package to a database and outputting and controlling the water pump, the fan or other equipment to be started through a downlink interface.
Said step (e) further comprising the steps of:
(e1) Inquiring historical data, and accessing other intelligent gateway data to perform fusion judgment;
(e2) And (e) the cloud platform judges whether the alarm information is correct, and if so, the step (e 3) is executed. And if the alarm information is judged to be false, carrying out cloud platform display on the data. Repeating steps (e 1) to (e 2) for each (d);
(e3) And comparing a preset model through the cloud platform to judge the accident types (such as gas leakage, explosion, smoke, flame alarm and the like) and the treatment measures.
Said step (f) further comprises the steps of:
(f1) Transmitting data packets to one or more intelligent gateways according to the accident types and the processing measures;
(f2) The intelligent gateway outputs and controls the opening of a fan, a water pump or other equipment through a downlink interface.
Further, as the front end comprises the front end sensor module and the intelligent gateway, in order to achieve the function target of the cloud number linkage monitoring system, the intelligent gateway provides a multi-channel analog quantity acquisition port and a switching value input/output port, can also be simultaneously responsible for the message analysis of different types of digital domain signal communication modes, including communication protocols such as RS485 protocol, modBus protocol, TCP/IP protocol and the like, unpacks to obtain key quantized data such as temperature, humidity, CO/CH4 concentration, wind speed, water pressure, image and the like, performs package operation through a contracted data format, and provides a unified protocol data format and a corresponding communication mechanism for data forwarding. For warehouses storing different hazardous chemicals, the front end will also be equipped with different sensors, where gas sensing includes, but is not limited to, carbon monoxide, methane, and hydrogen sensors, etc.; the environment sensing comprises a temperature and humidity sensor and a wind speed and direction sensor; the image perception includes a camera. The analog quantity sensor uniformly outputs 4-20 mA signals to the data processing unit, the signals are converted into data through a formula, the data are packaged according to a communication protocol and then are sent to the communication unit every 20s through an RS485 interface, and the camera is sent to the cloud platform in a wireless mode (a 4G module inside the camera is directly sent to the cloud platform). The cloud platform feeds back the command of the intelligent gateway, and the 8 paths of downlink ports control the corresponding fans and the water pumps to act through the relays, so that the aim of linkage control is fulfilled.
The specific alarm flow of the front-end alarm is shown in figure 3.
And carrying out multi-source data fusion on the cloud platform by fusion judgment of cloud number linkage, comparing the multi-source data fusion with a preset judgment strategy in the cloud platform to form a back-end decision, and feeding back the back-end decision to one or more intelligent gateways to act on the fan and the water pump. The weights among the characteristic values of the front-end samples are different for different chemicals stored in different warehouses, so that the event judgment weight change can be carried out at the front end according to the stored chemical changes. This embodiment is exemplified by a warehouse equipped with CO and CH4 gas sensors.
After the front-end sensor module alarms, the intelligent gateway performs fusion judgment on data according to a preset judgment sequence (note that the standards of triggering alarm of each sensor are different from the standards of judging whether alarm information is correct or not by the intelligent gateway): judging the concentration of CO, if the ppm is more than or equal to 30, judging that gas leaks, triggering front-end alarm and reporting an event package to a database; if not, continuously judging the concentration of CH4, if the percent LEL is more than or equal to 25 percent, judging that gas leakage exists, triggering the front end to alarm and reporting an event package to a database; if the pressure value is more than or equal to 1MPa, triggering front-end alarm and reporting an event package to a database, otherwise, judging temperature and humidity data, accessing a camera picture to perform image algorithm comparison combined judgment, and if the temperature is more than or equal to 45 ℃ and the image detects flame or smoke, triggering front-end alarm and reporting the event package to the database; if the humidity is more than or equal to 80% and the image detects that the ground is wet, triggering the front-end alarm and reporting an event package to a database, and if no abnormality exists, not triggering the alarm.
After the database sends the event package or the period package to the cloud platform, the historical data and the intelligent gateway data of the adjacent point positions are fused with the alarm data to judge: if the temperature and smoke image reported by the first intelligent gateway are abnormal and the second intelligent gateway reports normally, smoking in the forbidden area is considered, and false reporting is judged. If the abnormal data are judged, the accident type (such as gas leakage, explosion, smoke, flame alarm and the like) is continuously judged, a downlink instruction is sent to the intelligent gateway after the accident type is confirmed, and the intelligent gateway controls the relay to start the corresponding point water pump or the fan so as to achieve the aim of generating gas after fire extinguishment or hazardous chemical leakage of fire fighters is matched. In addition, for hazardous chemical warehouses where handling activities are not frequently performed, cameras can generate event reports alone after identifying changes in items. If a front-end sensor misreports for many times, the cloud platform can compare other intelligent gateway data and historical data in the warehouse, and if abnormality does exist, the weight of the cloud platform can be reduced, namely the judgment sequence is reduced or the trigger threshold is increased. The alarm flow is shown in fig. 4.
Therefore, the application is oriented to the perception intelligence and supervision refinement application requirements of dangerous chemical storage links, breaks through the monitoring early warning sensing key technology, realizes dangerous chemical feature extraction, identification or judgment through the multi-sensing information fusion technology, and can effectively ensure the safety of a dangerous chemical warehouse.
Claims (6)
1. The cloud number linkage monitoring and grading alarm system for the dangerous chemical warehouse is characterized by comprising a front-end sensor module, a plurality of intelligent gateways, a database and a cloud platform which are sequentially connected, wherein the cloud platform is connected with the plurality of intelligent gateways; the front-end sensor module is used for collecting environment data of the dangerous chemical warehouse and sending the environment data to each intelligent gateway, and each intelligent gateway is used for sending the received environment data to the cloud platform through the database after unifying the formats of the environment data;
triggering an alarm when the environmental data collected by the front-end sensor module is abnormal, and sending alarm information to each intelligent gateway; each intelligent gateway judges whether the alarm information is correct according to the received environmental data, and sends the alarm information to the cloud platform through the database; the cloud platform judges whether the alarm information is correct again according to the environmental data received by all the intelligent gateways;
the intelligent gateway is connected with a fan and a water pump which are arranged in the dangerous chemical warehouse, and when the intelligent gateway judges that the alarm information is correct according to the received environmental data, the fan or the water pump is controlled to be started;
when the cloud platform judges whether the alarm information is correct again according to the environmental data received by all the intelligent gateways, if the alarm information judged by the cloud platform is inconsistent with the alarm information judged by the intelligent gateways, the cloud platform controls the fan or the water pump through the intelligent gateways, specifically:
if the intelligent gateway judges that the water pump or the fan does not need to be turned on and then the cloud platform judges that the water pump or the fan needs to be turned on, the cloud platform can issue a command for the intelligent gateway to turn on the fan and the water pump; if the intelligent gateway judges that the water pump or the fan needs to be turned on and then the cloud platform judges that the water pump or the fan does not need to be turned on, the cloud platform can issue a command for the intelligent gateway to turn off the fan and the water pump.
2. The dangerous chemical warehouse cloud number linkage monitoring and grading alarm system according to claim 1, wherein each intelligent gateway judges whether alarm information is correct according to received environmental data, specifically: and each intelligent gateway judges whether the environmental data collected by each sensor in the front-end sensor module exceeds the standard according to the preset weight from high to low, and if the environmental data collected by at least one sensor exceeds the standard, the intelligent gateway judges that the alarm information of the front-end sensor module is correct and sends the alarm information to a database to form a front-end alarm.
3. The dangerous chemicals warehouse cloud number linkage monitoring and grading alarm system according to claim 1, wherein each intelligent gateway judges whether the alarm information is correct according to the received environmental data, and further comprises: and carrying out joint analysis on the data acquired by the temperature sensor or the humidity sensor and the image data acquired by the image sensor to judge whether the alarm information of the front-end sensor module is correct.
4. The dangerous chemical warehouse cloud number linkage monitoring and grading alarm system according to claim 3, wherein the joint analysis of the data collected by the temperature sensor or the humidity sensor and the image data collected by the image sensor is specifically as follows:
if the temperature data acquired by the temperature sensor is more than or equal to the temperature threshold value and the image data acquired by the image sensor detects flame or smoke, the alarm information of the front-end sensor module is correct;
if the humidity data collected by the humidity sensor is more than or equal to the humidity threshold value and the ground humidity of the image data collected by the image sensor is more than or equal to the ground humidity threshold value, the alarm information of the front-end sensor module is correct.
5. The dangerous chemical warehouse cloud number linkage monitoring and grading alarm system according to claim 2, wherein the cloud platform judges whether the alarm information is correct again according to the received environmental data, and further comprises: and the cloud platform judges whether the alarm information is correct by judging whether the number of intelligent gateways causing the front-end alarm exceeds the preset number.
6. The dangerous chemical warehouse cloud number linkage monitoring and grading alarm system according to claim 1, wherein when the cloud platform judges the alarm information is correct again according to the received environmental data, the cloud platform starts a back-end alarm.
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| CN116989897B (en) * | 2023-09-26 | 2023-12-22 | 山东聚亨源环保科技有限公司 | Low-power-consumption vehicle-mounted remote abnormality monitoring system for dangerous waste warehouse |
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| CN110001499A (en) * | 2019-04-15 | 2019-07-12 | 南京市锅炉压力容器检验研究院 | A kind of harmful influence haulage vehicle leakage detecting and emergency disposal intelligent decision system and its operation process |
| CN110533231A (en) * | 2019-08-13 | 2019-12-03 | 四川科达乐气象科技有限公司 | Disaster-ridden kind of monitoring and warning and emergency commading system |
| CN111222426A (en) * | 2019-12-27 | 2020-06-02 | 宁波国际投资咨询有限公司 | Dangerous chemical safe transportation monitoring method, storage medium and control terminal |
| CN111109896A (en) * | 2020-01-16 | 2020-05-08 | 上海西斯贝尔工业科技有限公司 | Intelligent dangerous chemical storage system |
| CN113763676A (en) * | 2020-06-05 | 2021-12-07 | 中国环境科学研究院 | Intelligent dangerous chemical online monitoring and early warning system based on Internet of things technology |
| CN111744129A (en) * | 2020-06-09 | 2020-10-09 | 浙江新高包装有限公司 | Hazardous chemical warehouse capable of automatically repairing |
| CN111882010A (en) * | 2020-07-21 | 2020-11-03 | 杭州电子科技大学 | Dangerous chemical cabinet management system |
| CN111854844A (en) * | 2020-07-31 | 2020-10-30 | 上海应用技术大学 | Safety monitoring system for area hazardous chemical |
| CN212749901U (en) * | 2020-09-17 | 2021-03-19 | 深圳安志生态环境有限公司 | Dangerous waste storage management system |
| CN214051112U (en) * | 2020-11-04 | 2021-08-27 | 郭晓东 | Dangerous chemical storage safety management device |
| CN114582098A (en) * | 2021-12-15 | 2022-06-03 | 浙江九龙物联科技有限公司 | Kitchen safety coefficient that gas company linked and reported to police |
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