Early warning system and equipment based on monitoring and prediction of hazardous sources in the Internet of Things
The IoT-based hazard source monitoring system addresses sensor accuracy issues by using a dynamic data detection module and safety hazard data module to compare sensor data with safety thresholds, ensuring timely alarms and maintaining detection precision, thus preventing safety hazards.
Patent Information
- Application Number
- CN202110876948.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-07-31
- Publication Date
- 2024-12-27
- Estimated Expiration
- 2041-07-31
AI Technical Summary
Existing hazard source monitoring systems face decreased sensor accuracy due to chemical corrosiveness, leading to inaccurate detection of hazardous substances, which can result in safety hazards despite apparent qualified detection.
An IoT-based system with a dynamic data detection module, safety hazard data module, and network transmission module, utilizing multiple sensors to detect and compare data against predetermined safety intervals and thresholds, issuing alarms when thresholds are exceeded, and incorporating a sensor accuracy module to maintain detection precision.
Enhances detection accuracy by comparing sensor data with safety thresholds, issuing timely alarms, and facilitating sensor replacement or calibration, thereby preventing potential safety accidents.
Smart Images

Figure CN113467336B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to an early warning system and equipment based on Internet of Things hazard source monitoring and prediction, belonging to the field of hazard source safety early warning. Background Art
[0002] With the development of Internet of Things technology, intelligent production, intelligent management and intelligent services are realized in various industries and fields through Internet of Things technology, which brings great convenience to people's production and life. Among them, the monitoring system designed for dangerous sources provides intelligent solutions for dangerous situation warning and accident alarm, making a significant contribution to protecting people's lives and property safety.
[0003] In the prior art, the hazard source monitoring system includes a data acquisition unit, a data monitoring center, and an alarm unit. When the data acquisition unit, such as a pressure sensor, acquires a pressure value, the pressure value is reported to the data monitoring center. The data monitoring center analyzes and processes the pressure value to determine whether the pressure value has a safety hazard. When the pressure value has a safety hazard, the data monitoring center controls the alarm unit to sound an alarm.
[0004] However, for chemicals, the material media of many production devices are explosive, toxic, flammable and other dangerous. At present, most of the chemicals and non-drug chemicals that are easy to make drugs are monitored. However, when the sensors are in use, due to the corrosiveness of chemical agents or for a long time, the accuracy of the sensors will decrease, and the detection of dangerous goods will not be accurate enough. This will result in the display of qualified detection, but the hazard source is actually on the verge of danger. This negligence will cause major safety accidents. Summary of the invention
[0005] The purpose of the invention is to provide an early warning system and equipment based on Internet of Things hazardous source monitoring and prediction, which can effectively solve the problem of decreased sensor accuracy and inaccurate detection of hazardous goods, which will result in the problem that although the detection is displayed as qualified, the hazardous source is actually on the verge of danger.
[0006] In order to solve the above technical problems, the invention is implemented through the following technical solutions:
[0007] The system includes a detection end, which includes a dynamic data detection module and a network transmission module; a data end, which receives data detected by the detection end; the data end includes an Internet of Things server, a cloud server and a safety hazard data module stored in the cloud server; a terminal, which receives data analyzed by the data end and a display device that displays the data; a dynamic data detection module, which is configured to be set corresponding to a hazard source, and each data is obtained by detecting multiple types of sensors in the dynamic data detection module, and the sensor categories mainly include environmental detection sensors; the safety hazard data module, which is configured to store data information and set a predetermined safety interval and danger threshold of the data information, and the dynamic data detection module imports data for comparison and records it. Once the detected data range is outside the danger threshold, the safety hazard data module issues an alarm; and a network transmission module, which is configured to transmit the result determined by the safety hazard data module to the terminal.
[0008] Preferably: the safety interval is provided with two interval ranges and a maximum danger threshold, the first interval range is connected end to end with the second interval range, and the maximum danger value is the highest value of the second interval; the first interval range is calculated as a safety level by the safety hazard data module, the second interval range is recorded as a pending rating, and the danger threshold and above are recorded as a danger level, and an alarm is issued when the pending rating appears three times in a row or the danger level appears.
[0009] Preferred: There are a number of hazardous sources, all of which are benzene compounds, and they are various homologues of benzene.
[0010] Preferably: the safety hazard data module is further provided with a data analysis and rating module, and the regions are divided according to benzene homologues; rating modules for different homologues have different corresponding rating data.
[0011] Preferably: the parameters of the dynamic data detection module include pressure and temperature of the hazard source; the safety hazard data module sets the alarm signal and pending rating according to the parameters detected by the dynamic data detection module, and distinguishes the safety hazard category of the safety hazard information data monitored in real time.
[0012] Preferably, the dynamic data detection module further includes a positioning module, and the positioning module is associated as a whole in the same homologue area.
[0013] Preferably, the terminal comprises a fixed terminal and a branch terminal connected to the fixed terminal, and the branch terminal is set according to the area divided by benzene homologues.
[0014] Preferably: the terminal further comprises a mobile terminal, the mobile terminal is connected to the branch terminal and the fixed terminal respectively through baseband signals; and the fixed terminal has control priority.
[0015] The technical solution of the IoT-based hazard source monitoring and prediction and early warning device includes the above-mentioned detection end, data end, and terminal;
[0016] It also includes a detection device that runs based on the dynamic data detection module. The detection device includes a sealed can for storing dangerous goods to be detected, a detection rod inserted into the sealed can, and multiple types of sensors, including pressure sensors and temperature sensors, are installed on the detection rod.
[0017] Preferably, the detection rod is slidably arranged on the sealed can, and a driving device for driving the detection rod to extend into or pull out of the sealed can is installed at one end of the detection rod.
[0018] Preferably: the sealed can comprises a can body with an opening at the upper end and a sealing cover sealed on the can body; a sealing structure is also provided in the can body; the sealing structure comprises a sealing plate and a sealed chamber formed by the sealing plate, the can body and the sealing cover, a hole for the detection rod to pass through is provided between the sealing cover and the sealing plate; an airbag is provided in the sealed chamber.
[0019] Preferably: a round platform is provided at the lower end of the detection rod, and a plurality of sensors are mounted on the round platform.
[0020] Preferably, a sliding plate is arranged in the sealing plate, one side of the sliding plate is connected to a push rod, and one end of the push rod is arranged outside the tank body.
[0021] Preferably: the potential safety hazard data module also includes a sensor accuracy module; the dynamic data detection module detects multiple groups of comparable sensor data and compares them with the data detected by the sensor accuracy module in the potential safety hazard data module to determine the accuracy of the sensor.
[0022] Compared with the prior art, the advantages of the invention are:
[0023] Then, the hazard source is detected based on the sensors in the dynamic data detection module, and the obtained data is passed to the safety hazard data module. The detected data is compared with the stored data. If it exceeds the set safety range and danger threshold, the safety hazard data module will issue an alarm.
[0024] The dynamic data detection module detects multiple sets of comparable sensor data and compares them with the data of the sensor accuracy module in the safety hazard data module to determine the accuracy of the sensor. If the accuracy changes, the safety hazard data module will issue an alarm to facilitate the staff to replace or calibrate the sensors in the hazardous source and improve the accuracy of the detection. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] For ease of explanation, the present invention is described in detail by referring to the following specific implementations and the accompanying drawings.
[0026] Figure 1 A flowchart of the invention;
[0027] Figure 2 A comparative flow chart for analyzing safety hazards of the invention;
[0028] Figure 3 Terminal connection flow chart for the invention;
[0029] Figure 4 The three-dimensional structure diagram of the sealed tank of the invention;
[0030] Figure 5 This is a diagram of the internal structure of the sealed tank of the invention.
[0031] Description of reference numerals:
[0032] 1. Dynamic data detection module; 2. Internet of Things server; 3. Cloud server; 4. Safety hazard data module; 5. Network transmission module; 6. Sensor accuracy module; 7. Data analysis and rating module; 9. Fixed terminal; 10. Branch terminal; 11. Mobile terminal; 12. Sealed tank; 121. Tank body; 122. Sealed cover; 13. Sealed structure; 131. Sealed plate; 132. Sealed chamber; 14. Detection rod; 15. Airbag; 16. Sliding plate; 17. Push rod; 18. Sealed cover; 19. Drive device; 20. Round table. DETAILED DESCRIPTION
[0033] Embodiments of the invention are described in detail below, examples of which are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and intended to be used to explain the invention, but should not be construed as limiting the invention.
[0034] In the description of the invention, it is necessary to understand that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside" and "outside" etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the invention.
[0035] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.
[0036] In the invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be fixedly connected, detachably connected, or integrated; it can be mechanically connected, electrically connected, or able to communicate with each other; it can be directly connected, or indirectly connected through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the invention can be understood according to specific circumstances.
[0037] See also Figure 1-3 The invention discloses an embodiment of an early warning system based on monitoring and prediction of dangerous sources of the Internet of Things. The system includes a detection end, which includes a dynamic data detection module 1 and a network transmission module 5; a data end, which receives data detected by the detection end; the data end includes an Internet of Things server 2, a cloud server 3 and a safety hazard data module 4 stored in the cloud server 3; a terminal, which receives data analyzed by the data end and a display device for displaying the data; the dynamic data detection module 1 is configured as follows: it is set corresponding to the dangerous source, and each data is obtained by detecting multiple types of sensors in the dynamic data detection module 1, and the sensor categories mainly include environmental detection sensors; the safety hazard data module 4 is configured as follows: it stores data information, and is provided with a predetermined safety interval and a danger threshold of the data information, and the dynamic data detection module 1 imports data for comparison and records it, and once the detected data range is outside the danger threshold, the safety hazard data module 4 issues an alarm; the network transmission module 5 is configured as follows: the result determined by the safety hazard data module 4 is transmitted to the terminal.
[0038] There are a number of hazardous sources, all of which are benzene compounds, and they are various homologues of benzene; the hazardous source monitoring system is applied to the storage of benzene homologues, and the safety hazard data module 4 is also provided with a data analysis and rating module 7, specifically: toluene, ethylbenzene, o-xylene, m-xylene, and p-xylene are stored; different hazard detection standards are set according to different benzene homologues, such as o-xylene has a similar odor to toluene, density 0.88 (water = 1), 3.66 (air = 1), melting point -25.5 ° C, boiling point 144.4 ° C, flash point 30 ° C, autoignition point 463 ° C, explosion limit 1% to 7%; hazardous characteristics: flammable, its vapor can form an explosive mixture with air; it is dangerous to cause combustion and explosion when exposed to heat, open flames, and strong oxidants; its vapor is heavier than air, can spread quite far along the low place, and will backfire when exposed to open flames. It is anesthetic and toxic, and the allowable concentration in the workshop air is 100mg / m3. In production, it is often a mixture of three types of xylene: ortho, meta, and para. Its danger can be referred to this product. It is necessary to detect the temperature, oxygen concentration, and density of paraxylene; therefore, the safety hazard data module 4 in the cloud server 3 stores the safety detection thresholds of the temperature, oxygen concentration, and density of benzene homologues, and then detects the hazard source based on the sensor in the dynamic data detection module 1. The obtained data is transmitted to the safety hazard data module 4, and the detected data is compared with the stored data. If it exceeds the set safety range and danger threshold, the safety hazard data module 4 will issue an alarm.
[0039] The safety interval preset by the safety hazard data module 4 is set with two interval ranges and a maximum danger threshold. The first interval range is connected to the second interval range end to end, and the maximum danger value is the highest value of the second interval; the first interval range is calculated as the safety level by the safety hazard data module, and the second interval range is recorded as the pending rating, and the danger threshold and above are recorded as the danger level. When the pending rating appears three times in a row or the danger level appears, an alarm is issued.
[0040] For example, the storage temperature of toluene is between 0 and 6°C; the first safety interval of the safety interval is set to 2 to 4°C, the second safety interval is set to 4 to 6°C and the 0 to 2°C danger threshold takes a minimum value of 0°C and a maximum value of 6°C. When the temperature data detected by the dynamic data detection module 1 is within the normal range of 2 to 4°C, no alarm is issued. When the detected temperature is between 0 to 2°C and 4 to 6°C, it is recorded as a pending rating. If the detection occurs three times in a row, an alarm is issued. When the detected temperature exceeds 6°C or is lower than 0°C, an alarm is issued.
[0041] And the areas are divided according to benzene homologues, and the same homologues are placed in the same place for centralized storage.
[0042] Benzene homologues have different physical and chemical properties, so the storage conditions are different. For example, toluene should be stored in a cool, ventilated warehouse; away from fire and heat sources, and the warehouse temperature should not exceed 30°C. Keep the container sealed; use explosion-proof lighting and ventilation facilities. It is forbidden to use mechanical equipment and tools that are prone to sparks; it should be stored separately from oxidants and should not be mixed; it is forbidden to use mechanical equipment and tools that are prone to sparks, etc.; so it is necessary to divide the area for storage.
[0043] The parameters of the dynamic data detection module include the pressure and temperature of the hazard source; the safety hazard data module 4 sets the alarm signal and pending rating according to the parameters detected by the dynamic data detection module 1, and classifies the safety hazard information data monitored in real time.
[0044] The dynamic data detection module 1 also includes a positioning module, which is associated as a whole in the homologous region.
[0045] The positioning module can easily locate the detection position after the potential safety hazard data module 4 issues an alarm; and can limit the located position to the divided area, narrowing the scope, making it easier for staff to quickly and conveniently reach the location for operation.
[0046] The terminal includes a fixed terminal 9 and a branch terminal 10 connected to the fixed terminal 9, and the branch terminal 10 is set according to the area divided by benzene homologues.
[0047] The branching terminal 10 is convenient for branching operation according to the corresponding areas of the homologous series.
[0048] The terminal further includes a mobile terminal 11, which is connected to the branch terminal 10 and the fixed terminal 9 respectively through baseband signals; and the fixed terminal 9 has control priority.
[0049] The mobile terminal 11 may be a handheld device of the staff, which is convenient for the staff to monitor and receive information anytime and anywhere.
[0050] Embodiment 2
[0051] like Figure 4 , Figure 5
[0052] An early warning system and equipment based on Internet of Things hazardous source monitoring and prediction: including the above-mentioned detection end, data end, and terminal; also including a detection device running based on a dynamic data detection module 1, the detection device including a sealed tank 12 for storing hazardous goods to be detected, a detection rod 14 inserted into the sealed tank 12, and the detection rod 14 is installed with multiple types of sensors, including pressure sensors and temperature sensors; the detection rod 14 is slidably set on the sealed tank 12, and a driving device 19 for driving the detection rod 14 to extend into or pull out of the sealed tank 12 is installed at one end of the detection rod.
[0053] The potential safety hazard data module 4 also includes a sensor accuracy module 6, which detects multiple groups of comparable sensor data through the dynamic data detection module 1 and compares them with the sensor accuracy module 6 in the potential safety hazard data module 4 to determine the accuracy of the sensor.
[0054] The driving device 19 drives the detection rod 14 to realize the up and down movement of the detection rod 14 in the sealed tank 12. According to the principle of liquid pressure and insertion depth, the pressure in the dangerous source can be detected by the pressure sensor at the first time node, which is recorded as A1; then the detection rod 14 is operated to probe downward, and the pressure in the dangerous source is detected by the sensor at the second time node, which is recorded as A2; under normal circumstances, the pressure sensor has high accuracy and there is no abnormal change in the dangerous source, the values of A1 and A2 are fixed. If the value of A2 changes significantly, it proves that the accuracy of the sensor is reduced, which will affect the accuracy of monitoring.
[0055] The specific operation method here is: multiple groups of comparable sensor data are detected by the dynamic data detection module 1 to compare with the sensor accuracy module 6 in the safety hazard data module 4 to determine the accuracy of the sensor. If the accuracy changes, the safety hazard data module 4 will issue an alarm to facilitate the staff to replace or calibrate the sensors in the hazardous source and improve the detection accuracy.
[0056] The sealed tank 12 includes a tank body 121 with an opening at the upper end and a sealing cover 122 sealed on the tank body 121; a sealing structure 13 is also arranged in the tank body 121; the sealing structure 13 includes a sealing plate 131 and a sealed chamber 132 formed by the sealing plate 131, the tank body 121, the sealing cover 122 and the detection rod 14, and a hole is arranged between the sealing cover 122 and the sealing plate 131 for the detection rod 14 to pass through; an airbag 15 is arranged in the sealed chamber 132.
[0057] Since the sensor is placed in the sealed can 12 through the detection rod 14, the detection rod 14 needs to be taken out of the sealed can 12 when the staff replaces or calibrates the sensor in the dangerous source. However, during the removal process, it is necessary to prevent the sealed can 12 from leaking a lot. Therefore, while the driving device 19 pulls the detection rod 14, the airbag 15 is filled with inert gas, wrapping the entire airbag 15 around the outside of the detection rod 14 and filling the sealed chamber 132. When the detection rod 14 is pulled out of the sealing plate 131, the airbag 15 fills the gap between the detection rod 14 and the sealing plate 131, and blocks the hole in the sealing plate 131.
[0058] A truncated platform 20 is provided at the lower end of the detection rod 14 , and various sensors are mounted on the truncated platform 20 .
[0059] The arrangement of the truncated cone 20 allows the diameter of the circle where the cross section of the truncated cone 20 is located to gradually decrease during the process of pulling out the detection rod 14, so that the airbag 15 gradually expands, reducing the leakage of the dangerous source volatilization.
[0060] A sliding plate 16 is disposed in the sealing plate 131 . A push rod 17 is connected to one side of the sliding plate 16 . One end of the push rod 17 is disposed outside the tank body 121 .
[0061] The push rods 17 are symmetrically arranged on both sides of the detection rod 14 , and after the detection rod 14 pulls out the sealing plate 131 , the push rods 17 work to plug the holes on the sealing plate 131 , and cooperate with the airbag 15 to further increase the sealing performance.
[0062] The driving device 19 of the device is configured as a cylinder, the piston end of which is connected to the detection rod 14 , and the cylinder body is mounted on the upper end of the sealing tank 12 .
[0063] A detachable sealing cover 18 is provided at the upper end of the sealing tank 12, the cylinder is installed at the upper end of the sealing cover 18, and the piston end extends into the sealing cover 18 and is connected to the detection rod 14; the height of the sealing cover 18 is greater than the length of the detection rod 14; such a configuration makes it convenient for the detection rod 14 to be completely in the sealing cover 18 when it is pulled out, so that the trace volatile gas leaked from the sealing tank 12 is in the sealing cover 18.
[0064] The sealing cover 18 is also provided with an openable hole; neutralizing gas is added into the sealing cover 18 through the hole to neutralize the volatile gas; then the sealing cover 18 is opened, the detection rod 14 is removed, and the sensor is rectified or replaced.
[0065] The above description is only a specific embodiment of the invention, but the technical features of the invention are not limited thereto. Any changes or modifications made by any technician in the field of the invention are covered by the patent scope of the invention.
Claims
1. Early warning equipment based on IoT hazard source monitoring and prediction, characterized by: include: A detection end, the detection end comprising a dynamic data detection module and a network transmission module; A data end, the data end receives the data detected by the detection end; the data end includes an Internet of Things server, a cloud server and a potential safety hazard data module stored in the cloud server; A terminal receives the data analyzed by the data terminal and displays the data through a display device; A dynamic data detection module is configured to be set corresponding to the hazard source, and various data are obtained by detecting multiple types of sensors in the dynamic data detection module, and the sensor types include environmental detection sensors; The safety hazard data module is configured to: store data information and set a predetermined safety interval for the data information, and the dynamic data detection module imports data for comparison and recording. Once the detected data exceeds the predetermined safety interval, the safety hazard data module issues an alarm; A network transmission module, configured to: transmit the result determined by the potential safety hazard data module to the terminal; The predetermined safety interval is provided with two interval ranges and a maximum danger threshold, the first interval range is connected end to end with the second interval range, and the maximum danger threshold is the highest value of the second interval; the first interval range is recorded as a safety level by the safety hazard data module, the second interval range is recorded as a pending rating, and the maximum danger threshold and above are recorded as a danger level, and an alarm is issued when the pending rating appears three times in a row or the danger level appears; The number of the hazardous sources is certain and they are liquid compounds of the same family; The safety hazard data module is also provided with a data analysis and rating module, and is divided into regions according to homologous substances; different homologous substance rating modules correspond to different rating data; The potential safety hazard data module also includes a sensor accuracy module; the dynamic data detection module detects multiple groups of comparable sensor data and compares them with the data detected by the sensor accuracy module in the potential safety hazard data module to determine the accuracy of the sensor; The dynamic data detection module also includes a positioning module, and the positioning module is associated as a whole in the same homologue area; The terminal includes a fixed terminal and a branch terminal connected to the fixed terminal, and the branch terminal is set according to the area divided by the liquid compound homologues; It also includes a detection device based on the dynamic data detection module, the detection device includes a sealed can for storing dangerous goods to be detected, a detection rod inserted into the sealed can, and multiple types of sensors are installed on the detection rod, including a pressure sensor and a temperature sensor; the detection rod is slidably arranged on the sealed can, and a driving device for driving the detection rod to extend into or pull out of the sealed can is installed at one end of the detection rod; The sealed tank comprises a tank body with an upper opening and a sealing cover sealed on the tank body; a sealing structure is also arranged in the tank body; the sealing structure comprises a sealing plate and a sealing chamber formed by the sealing plate, the tank body, the sealing cover and the detection rod, and a hole is arranged between the sealing cover and the sealing plate for the detection rod to pass through; an air bag is arranged in the sealing chamber; The lower end of the detection rod is provided with a round table, and various types of sensors are installed on the round table; a sliding plate is provided in the sealing plate, one side of the sliding plate is connected to a push rod, and one end of the push rod is provided on the outside of the tank body.
2. The early warning device based on Internet of Things hazard source monitoring and prediction according to claim 1 is characterized in that: The parameters of the dynamic data detection module include the pressure of the hazard source; the safety hazard data module sets the alarm signal and the pending rating according to the parameters detected by the dynamic data detection module, and distinguishes the safety hazard category of the safety hazard information data monitored in real time.
3. The early warning device based on Internet of Things hazard source monitoring and prediction according to claim 2 is characterized in that: The terminal also includes a mobile terminal, which is connected to the branch terminal and the fixed terminal respectively through baseband signals; and the fixed terminal has control priority.
