CN113359631B - Major hazard source monitoring and early warning system - Google Patents
Major hazard source monitoring and early warning system Download PDFInfo
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- CN113359631B CN113359631B CN202110629132.0A CN202110629132A CN113359631B CN 113359631 B CN113359631 B CN 113359631B CN 202110629132 A CN202110629132 A CN 202110629132A CN 113359631 B CN113359631 B CN 113359631B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 61
- 239000000126 substance Substances 0.000 claims abstract description 39
- 230000002159 abnormal effect Effects 0.000 claims abstract description 22
- 239000002994 raw material Substances 0.000 claims abstract description 15
- 238000012545 processing Methods 0.000 claims description 43
- 239000013064 chemical raw material Substances 0.000 claims description 39
- 238000003860 storage Methods 0.000 claims description 31
- 230000003993 interaction Effects 0.000 claims description 21
- 238000012806 monitoring device Methods 0.000 claims description 11
- 238000012795 verification Methods 0.000 claims description 9
- 230000000007 visual effect Effects 0.000 claims description 9
- 230000003068 static effect Effects 0.000 claims description 8
- 239000007788 liquid Substances 0.000 claims description 5
- 238000004519 manufacturing process Methods 0.000 abstract description 5
- 238000004880 explosion Methods 0.000 abstract description 4
- 230000005856 abnormality Effects 0.000 abstract description 3
- 238000006243 chemical reaction Methods 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 3
- OKKJLVBELUTLKV-UHFFFAOYSA-N Methanol Chemical compound OC OKKJLVBELUTLKV-UHFFFAOYSA-N 0.000 description 6
- 230000007613 environmental effect Effects 0.000 description 6
- 230000008859 change Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000012824 chemical production Methods 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4184—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by fault tolerance, reliability of production system
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- 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
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31088—Network communication between supervisor and cell, machine group
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Engineering & Computer Science (AREA)
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- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
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- Quality & Reliability (AREA)
- Automation & Control Theory (AREA)
- Examining Or Testing Airtightness (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a major hazard source monitoring and early warning system, which adopts a blockchain technology to set hazard source monitoring equipment in a scene to be monitored, wherein the hazard source monitoring equipment is used as nodes to form a blockchain network, when a certain node monitors that the environment is abnormal and accidents such as explosion, leakage and the like of chemical raw materials are possibly caused, the state parameters and the environment parameters are packaged into data packets and multiplied by hazard grades to be broadcasted in the blockchain network, so that each node knows that the abnormality exists at the node, the reaction rate to the hazard source is improved, and the production safety is increased.
Description
Technical Field
The invention relates to the field of chemical raw material production, in particular to a major hazard source monitoring and early warning system.
Background
In the production and processing processes of chemical raw materials, the scenes of storage, transportation and the like of the chemical raw materials can possibly generate safety accidents such as explosion, combustion, leakage and the like due to the change of the self or the change of the environment, so that how to discover the potential safety hazards existing in the dangerous sources in advance and make early warning has an important role for the production safety of chemical production enterprises, and the existing early warning system generally monitors all the dangerous sources by adopting a monitoring center to early warn, but has the problem that misoperation leads to false alarm or untimely discovery.
Disclosure of Invention
The invention provides a major hazard source monitoring and early warning system aiming at the problems existing in the existing monitoring and early warning system, which comprises: the system comprises a blockchain monitoring and early warning network formed by taking a plurality of dangerous source monitoring devices as nodes, wherein the dangerous source monitoring devices are arranged in a chemical storage tank and a chemical raw material conveying pipeline, monitor the state parameters of chemical raw materials in the blockchain monitoring and early warning network, set the threshold value of each state parameter according to the corresponding chemical raw material type, divide the dangerous grade according to the abnormal quantity of the state parameters when the state parameters exceed the threshold value by monitoring, encrypt and package the dangerous grade, the state parameters and the environmental parameters into data packets, and broadcast in the blockchain monitoring and early warning network.
Preferably, the dangerous source monitoring equipment comprises a sensor unit, a network interaction unit, a data processing unit and an alarm unit; the network interaction unit and the data processing unit are integrated on a circuit board, wherein the data processing unit is respectively and electrically connected with the network interaction unit, the sensor unit and the alarm unit, and the circuit board is also provided with a power supply port.
Preferably, the state parameters include: one or more of external temperature, internal air pressure, leakage condition, vibration.
Preferably, the sensor unit comprises temperature sensors which are used for monitoring the external temperature and the internal temperature and are respectively arranged at the outer side and the inner side of the chemical storage tank and the chemical raw material conveying pipeline; the barometer is arranged on the inner side of the chemical storage tank and the chemical raw material conveying pipeline and used for monitoring the internal air pressure; the X sensor is arranged at the outer side of the chemical storage tank and the chemical raw material conveying pipeline and used for monitoring the leakage state, and X is the chemical raw material stored and conveyed by the chemical storage tank and the chemical raw material conveying pipeline; vibration sensor arranged outside chemical storage tank and chemical raw material conveying pipeline for monitoring vibration.
Preferably, the infrared gas detector is used for monitoring the mixing proportion of the gas or volatile liquid raw material and air and is arranged on the inner sides of the chemical storage tank and the chemical raw material conveying pipeline.
Preferably, the environment parameters comprise static parameters and dynamic parameters, wherein the static parameters comprise addresses, landforms and node numbering information set by the dangerous source monitoring equipment; the dynamic parameters include air temperature, weather type, humidity and wind direction, which are obtained from the Internet by the network interaction unit according to the address information and transmitted to the data processing unit for processing.
Preferably, the workflow of the data processing unit is as follows:
s1, receiving state parameter information transmitted by a sensor unit every 1-5s, comparing the state parameter information with a set threshold value, generating a data packet by hash operation of the state parameter and the environment parameter, multiplying the data packet by a dangerous level, dividing the dangerous level into 0-5 levels from low to high, determining according to the number of the state parameters exceeding the threshold value, and when the state parameters are within the threshold value, multiplying the data packet by the dangerous level by 0 and not broadcasting;
s2, when one or more state parameters of a certain node exceed a threshold value at a certain time, the data processing unit packages the real-time state parameters and the environment parameters into data packets, signs and multiplies the data packets by the danger level, the data packets are broadcasted in the blockchain monitoring and early warning network, the data processing units of other normal nodes are verified after receiving abnormal broadcast signals through the network interaction unit, and after the abnormal nodes receive the verification success of two or more nodes, corresponding alarms are sent out according to different danger levels.
S3, when the danger is relieved, the state parameter is within the threshold value, and the abnormal node reenters the state of the step S1.
Preferably, after the data processing units of the other normal nodes in the step S2 receive the abnormal broadcast signal, the received signal is divided by the risk level, and then verification and comparison are performed.
Preferably, the alarm unit comprises 5 audible and visual alarm modes, and each audible and visual alarm mode corresponds to a dangerous grade one by one.
Preferably, the data processing unit comprises a microprocessor or an ASIC chip.
According to the invention, a block chain technology is adopted to set the dangerous source monitoring equipment in a scene to be monitored, the dangerous source monitoring equipment is used as nodes to form a block chain network, when a certain node monitors that the environmental abnormality can cause accidents such as explosion and leakage of chemical raw materials, the state parameters and the environmental parameters are packaged into data packets and are broadcast in the block chain network by multiplying the dangerous level, each node is enabled to know that the abnormality exists at the node, the reaction rate to the dangerous source is improved, and the production safety is increased.
Drawings
Fig. 1 is a schematic diagram of a hazard source monitoring device.
In the figure 1, a circuit board; 2. a data processing unit; 3. a sensor unit; 4. a network interaction unit; 5. an alarm unit; 6. and a power supply port.
Detailed Description
Example 1
As shown in fig. 1, the major hazard source monitoring and early warning system of the present invention includes: the system comprises a blockchain monitoring and early warning network formed by taking a plurality of dangerous source monitoring devices as nodes, wherein the dangerous source monitoring devices are arranged in a chemical storage tank and a chemical raw material conveying pipeline, monitor the state parameters of chemical raw materials in the blockchain monitoring and early warning network, set the threshold value of each state parameter according to the corresponding chemical raw material type, divide the dangerous grade according to the abnormal quantity of the state parameters when the state parameters exceed the threshold value by monitoring, encrypt and package the dangerous grade, the state parameters and the environmental parameters into data packets, and broadcast in the blockchain monitoring and early warning network.
More specifically, the dangerous source monitoring device comprises a sensor unit 3, a network interaction unit 4, a data processing unit 2 and an alarm unit 5; the network interaction unit 4 and the data processing unit 2 are integrated on the circuit board 1, wherein the data processing unit 2 is electrically connected with the network interaction unit 4, the sensor unit 3 and the alarm unit 5 respectively, and the circuit board 1 is also provided with a power supply port 6.
More specifically, the state parameters include: one or more of external temperature, internal air pressure, leakage condition, vibration.
More specifically, the sensor unit 3 includes temperature sensors for monitoring the external temperature and the internal temperature, which are respectively disposed at the outer side and the inner side of the chemical storage tank and the chemical raw material conveying pipeline; the barometer is arranged on the inner side of the chemical storage tank and the chemical raw material conveying pipeline and used for monitoring the internal air pressure; the X sensor is arranged at the outer side of the chemical storage tank and the chemical raw material conveying pipeline and used for monitoring the leakage state, and X is the chemical raw material stored and conveyed by the chemical storage tank and the chemical raw material conveying pipeline; vibration sensor arranged outside chemical storage tank and chemical raw material conveying pipeline for monitoring vibration.
More specifically, the infrared gas detector is arranged on the inner sides of the chemical storage tank and the chemical raw material conveying pipeline and used for monitoring the mixing proportion of the gas or volatile liquid raw material and air.
More specifically, the environment parameters comprise static parameters and dynamic parameters, wherein the static parameters comprise addresses, landforms and node numbering information set by the dangerous source monitoring equipment; the dynamic parameters including air temperature, weather type, humidity and wind direction are obtained from the internet by the network interaction unit 4 according to the address information and transmitted to the data processing unit 2 for processing.
More specifically, the workflow of the data processing unit 2 is as follows:
s1, receiving state parameter information transmitted by a sensor unit 3 once every 1-5s, comparing the state parameter information with a set threshold value, generating a data packet by hash operation of the state parameter and the environment parameter, multiplying the data packet by a dangerous level, dividing the dangerous level into 0-5 levels from low to high, determining according to the number of the state parameters exceeding the threshold value, and when the state parameters are within the threshold value, multiplying the data packet by the dangerous level by 0 and not broadcasting;
s2, when one or more state parameters of a certain node exceeds a threshold value at a certain time, the data processing unit 2 packages the real-time state parameters and the environment parameters into data packets, signs and multiplies the data packets by the danger level, the data packets are broadcasted in the blockchain monitoring and early warning network, the data processing units 2 of other normal nodes are verified after receiving abnormal broadcast signals through the network interaction unit 4, and after the abnormal nodes receive the verification success of two or more nodes, corresponding alarms are sent out according to different danger levels.
S3, when the danger is relieved, the state parameter is within the threshold value, and the abnormal node reenters the state of the step S1.
More specifically, after the data processing units 2 of the other normal nodes in the step S2 receive the abnormal broadcast signal, the received signal is divided by the risk level, and then verification and comparison are performed.
More specifically, the alarm unit 5 includes 5 audible and visual alarm modes, and each audible and visual alarm mode corresponds to a danger level one by one.
More specifically, the data processing unit 2 comprises a microprocessor.
Example 2
As shown in fig. 1, the major hazard source monitoring and early warning system of the present invention includes: the system comprises a blockchain monitoring and early warning network formed by taking a plurality of dangerous source monitoring devices as nodes, wherein the dangerous source monitoring devices are arranged in a chemical storage tank and a chemical raw material conveying pipeline, monitor the state parameters of chemical raw materials in the blockchain monitoring and early warning network, set the threshold value of each state parameter according to the corresponding chemical raw material type, divide the dangerous grade according to the abnormal quantity of the state parameters when the state parameters exceed the threshold value by monitoring, encrypt and package the dangerous grade, the state parameters and the environmental parameters into data packets, and broadcast in the blockchain monitoring and early warning network.
More specifically, the dangerous source monitoring device comprises a sensor unit 3, a network interaction unit 4, a data processing unit 2 and an alarm unit 5; the network interaction unit 4 and the data processing unit 2 are integrated on the circuit board 1, wherein the data processing unit 2 is electrically connected with the network interaction unit 4, the sensor unit 3 and the alarm unit 5 respectively, and the circuit board 1 is also provided with a power supply port 6.
More specifically, the state parameters include: one or more of external temperature, internal air pressure, leakage condition, vibration.
More specifically, the sensor unit 3 includes temperature sensors for monitoring the external temperature and the internal temperature, which are respectively disposed at the outer side and the inner side of the chemical storage tank and the chemical raw material conveying pipeline; the barometer is arranged on the inner side of the chemical storage tank and the chemical raw material conveying pipeline and used for monitoring the internal air pressure; the X sensor is arranged at the outer side of the chemical storage tank and the chemical raw material conveying pipeline and used for monitoring the leakage state, X is the chemical raw material stored and conveyed by the chemical storage tank and the chemical raw material conveying pipeline, and the methanol sensor is arranged for storing and conveying methanol; vibration sensor arranged outside chemical storage tank and chemical raw material conveying pipeline for monitoring vibration.
More specifically, the infrared gas detector is arranged on the inner sides of the chemical storage tank and the chemical raw material conveying pipeline and used for monitoring the mixing proportion of the gas or volatile liquid raw material and air.
More specifically, the environment parameters comprise static parameters and dynamic parameters, wherein the static parameters comprise addresses, landforms and node numbering information set by the dangerous source monitoring equipment; the dynamic parameters including air temperature, weather type, humidity and wind direction are obtained from the internet by the network interaction unit 4 according to the address information and transmitted to the data processing unit 2 for processing.
More specifically, the workflow of the data processing unit 2 is as follows:
s1, receiving state parameter information transmitted by a sensor unit 3 once every 1-5s, comparing the state parameter information with a set threshold value, generating a data packet by hash operation of the state parameter and the environment parameter, multiplying the data packet by a dangerous level, dividing the dangerous level into 0-5 levels from low to high, determining according to the number of the state parameters exceeding the threshold value, and when the state parameters are within the threshold value, multiplying the data packet by the dangerous level by 0 and not broadcasting;
s2, when one or more state parameters of a certain node exceeds a threshold value at a certain time, the data processing unit 2 packages the real-time state parameters and the environment parameters into data packets, signs and multiplies the data packets by the danger level, the data packets are broadcasted in the blockchain monitoring and early warning network, the data processing units 2 of other normal nodes are verified after receiving abnormal broadcast signals through the network interaction unit 4, and after the abnormal nodes receive the verification success of two or more nodes, corresponding alarms are sent out according to different danger levels.
S3, when the danger is relieved, the state parameter is within the threshold value, and the abnormal node reenters the state of the step S1.
More specifically, after the data processing units 2 of the other normal nodes in the step S2 receive the abnormal broadcast signal, the received signal is divided by the risk level, and then verification and comparison are performed.
More specifically, the alarm unit 5 includes 5 audible and visual alarm modes, and each audible and visual alarm mode corresponds to a dangerous level one by one, and may be composed of 5 audible and visual alarms connected in parallel.
More specifically, the data processing unit 2 includes an ASIC chip.
The invention has the design key points that 1, the blockchain technology is applied to the scenes of chemical raw material storage and transportation, and false alarm caused by the conditions of untimely reaction, misoperation and the like of a single monitoring center is avoided by the characteristics of decentralization and non-falsification; 2. setting the abnormal number as a dangerous level of 0-5, multiplying the dangerous level as a coefficient by the data packet subjected to hash operation, filtering out the 0 as a result, namely, a normal state, wherein the node does not broadcast at the moment, the result is not 0 when the node is abnormal, the dangerous level is used as a public key, and the dangerous coefficient can be removed for verification in a conventional verification mode when the dangerous coefficient is verified; 3. the data processing unit is added with environmental parameters, so that workers can intuitively know the environment to carry necessary tools when the workers remove the obstacle. In addition, the state parameters in the invention are different according to the types of stored and transported chemical raw materials, such as volatile liquid raw materials which are easy to burn and explode, the flash point or explosion limit, the burning point and other physical data are different, the data processing unit is arranged according to the physical and chemical characteristics of the specific raw materials, the types of the sensors are also required to be arranged according to the requirements so as to save the cost while meeting the efficacy.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. A major hazard source monitoring and early warning system is characterized in that: the system comprises a blockchain monitoring and early warning network formed by taking a plurality of dangerous source monitoring devices as nodes, wherein the dangerous source monitoring devices comprise a sensor unit, a network interaction unit, a data processing unit and an alarm unit; the network interaction unit and the data processing unit are integrated on a circuit board, wherein the data processing unit is respectively and electrically connected with the network interaction unit, the sensor unit and the alarm unit, and the circuit board is also provided with a power supply port; the dangerous source monitoring equipment is arranged in a chemical storage tank and a chemical raw material conveying pipeline, monitors state parameters of chemical raw materials in the chemical storage tank and the chemical raw material conveying pipeline, sets threshold values of all the state parameters according to the corresponding chemical raw material types, divides dangerous grades according to abnormal quantity of the state parameters when the state parameters exceed the threshold values are monitored, encrypts and packages the dangerous grades, the state parameters and the environment parameters into data packets, broadcasts the data packets in the blockchain monitoring and early warning network, wherein the environment parameters comprise static parameters and dynamic parameters, and the static parameters comprise addresses, landforms and node number information set by the dangerous source monitoring equipment; the dynamic parameters comprise air temperature, weather type, humidity and wind direction, are obtained from the Internet by the network interaction unit according to the address information, and are transmitted to the data processing unit for processing; the workflow of the data processing unit is as follows:
s1, receiving state parameter information transmitted by a sensor unit every 1-5s, comparing the state parameter information with a set threshold value, generating a data packet by hash operation of the state parameter and the environment parameter, multiplying the data packet by a dangerous level, dividing the dangerous level into 0-5 levels from low to high, determining according to the number of the state parameters exceeding the threshold value, and when the state parameters are within the threshold value, multiplying the data packet by the dangerous level by 0 and not broadcasting;
s2, when one or more state parameters of a certain node exceed a threshold value at a certain time, the data processing unit packages the real-time state parameters and the environment parameters into data packets, signs and multiplies the data packets by the danger level, the data packets are broadcasted in the blockchain monitoring and early warning network, after the data processing units of other normal nodes receive abnormal broadcast signals through the network interaction unit, the received signals are divided by the danger level and then are verified and compared, after the abnormal nodes receive the verification success of two or more nodes, corresponding alarms are sent out according to different danger levels, the alarm unit comprises 5 audible and visual alarm modes, and each audible and visual alarm mode corresponds to the danger level one by one;
s3, when the danger is relieved, the state parameter is within the threshold value, and the abnormal node reenters the state of the step S1.
2. The significant risk source monitoring and early warning system of claim 1, wherein: the state parameters include: one or more of external temperature, internal air pressure, leakage condition, vibration.
3. The significant risk source monitoring and early warning system of claim 2, wherein: the sensor unit comprises temperature sensors which are used for monitoring the external temperature and the internal temperature and are respectively arranged at the outer side and the inner side of the chemical storage tank and the chemical raw material conveying pipeline; the barometer is arranged on the inner side of the chemical storage tank and the chemical raw material conveying pipeline and used for monitoring the internal air pressure; the X sensor is arranged at the outer side of the chemical storage tank and the chemical raw material conveying pipeline and used for monitoring the leakage state, and X is the chemical raw material stored and conveyed by the chemical storage tank and the chemical raw material conveying pipeline; vibration sensor arranged outside chemical storage tank and chemical raw material conveying pipeline for monitoring vibration.
4. The significant risk source monitoring and early warning system of claim 3, wherein: the infrared gas detector is arranged on the inner side of the chemical storage tank and the chemical raw material conveying pipeline and used for monitoring the mixing proportion of the gas or volatile liquid raw material and air.
5. The significant risk source monitoring and early warning system of claim 4, wherein: the data processing unit comprises a microprocessor or an ASIC chip.
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