Pump suction type phosphine on-line monitoring system
By introducing pump suction and blockage switching unit, sampling and decomposition unit and multiple proofreading unit in the online monitoring system, the problems of blockage and data proofreading during the phosphine inhalation process are solved, and high-precision data is achieved Collecting and monitoring improves the safety and efficiency of the system.
Patent Information
- Application Number
- CN202411357956.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-27
- Publication Date
- 2024-12-06
AI Technical Summary
The existing online monitoring system is prone to blockage during the phosphine inhalation process, and it is difficult to achieve mixed calibration of sampling data collection, resulting in poor monitoring accuracy.
A pump-suction phosphine online monitoring system is designed, including a pump-suction module, a collection module, a calibration module and a storage module. It adopts a pump-suction anti-blocking switching unit, a sampling and impurity removal unit and a multiple calibration unit, and passes through suction sensor and heating. Components such as demerger, outlier detection eliminater and calibration algorithm model realize accurate data acquisition and multiple proofreading, and improve the reliability of data transmission and storage through MQTT protocol and encrypted storage.
Effectively prevent the pump and suction area from being blocked, improve the accuracy of collection and monitoring and data accuracy, and ensure the safety and efficiency of online monitoring.
Smart Images

Figure CN119086837A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of online monitoring, and more specifically, to a pump-suction type phosphine online monitoring system. Background Art
[0002] When disinfecting phosphine in a warehouse environment, due to the complex warehouse environment and the fact that phosphine is a flammable, highly toxic and corrosive gas, the general collection method is to manually use a handheld device to extract gas samples at one location or a fixed device at a fixed location. The collected data is relatively single and cannot reflect the distribution of phosphine gas concentration inside the warehouse as a whole and inside the materials stored in the warehouse. In addition, manual gas extraction sampling is time-consuming and inefficient, and phosphine gas is prone to leakage during operation. With the increasing requirements for warehouse environmental testing, the comprehensiveness of collection and the safety of staff are required to address the above issues. A corrosion-resistant, explosion-proof, high-precision, low-power online phosphine detection system is needed.
[0003] In the existing public documents, the patent with patent announcement number CN210795774U discloses an intelligent phosphine generator system. The online monitoring system includes an alarm device, a text message module, and a digestion liquid spraying device connected to the phosphine gas generating chamber through an emergency treatment system; the intelligent control system is used to intelligently control the start and stop of each system. This technology combines the advantages of various traditional fumigation operations in grain warehouses, and uses dynamic deliquescence to generate phosphine gas outside the warehouse, avoiding personnel entering the warehouse for operation, effectively ensuring the safety of operators, and saving a lot of manpower and material costs; however, the online monitoring system still has the following defects when used.
[0004] When the online monitoring system is performing suction monitoring on phosphine, although it can collect phosphine for alarm, the pump suction part is blocked during the collection and use process, and the sampling data collection is complicated and proofread, and it is difficult to achieve multiple proofreading, which leads to poor collection and monitoring accuracy. Therefore, a pump-suction phosphine online monitoring system is provided. Summary of the invention
[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a pump-suction type phosphine online monitoring system.
[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a pump-suction type phosphine online monitoring system, comprising a pump-suction module, a collection module and a calibration module, wherein the collection module is connected to the output end of the pump-suction module, the calibration module is connected to the output end of the collection module, the output end of the calibration module is communicatively plugged with a transmission module, a storage module is welded to the output end of the transmission module, and the output end of the storage module is connected to a display and early warning module; a pump-suction anti-blocking switching unit is fixedly installed at the other input end of the pump-suction module, a sampling and impurity removal unit is plugged into the other input end of the collection module, and a multiple proofreading unit is connected to the input end of the calibration module.
[0007] Preferably, the pump suction module is used to periodically sample the gas in the environment or materials, and the pump suction module includes a negative pressure pump, and the number of negative pressure pumps is multiple, the acquisition module is used to collect the phosphine gas data in the sampled gas, and the acquisition end of the acquisition module is made of copper, the calibration module is used to perform data proofreading processing on the data, and the transmission module is used to forward the data and transmit it to the remote server through the MQTT protocol, the storage module is used to receive and store data packets, and the display and warning module is used to centrally display the data and warn of abnormal time, the pump suction anti-blocking switching unit includes a suction sensor, and the output end of the suction sensor is connected to a time alarm, the output end of the time alarm is connected to the dredging electric cylinder, and the output end of the dredging electric cylinder is connected to a negative pressure proofreading sensor.
[0008] In the present technical solution, the suction of the pump is sensed by the suction sensor on the pump suction anti-blocking switching unit through the pump suction anti-blocking switching unit on the input end of the pump suction module. When the suction is low for more than five minutes, the time alarm will sound an alarm, and the unblocking electric cylinder will push and dredge the suction of each pump. The negative pressure calibration sensor will continue to sense the negative pressure. When the pressure value of the negative pressure sensor is the same as the set pressure value, blockage is prevented.
[0009] Preferably, the sampling and impurity removal unit includes a heating impurity remover, a zero drift elimination device, an outlier detection eliminator and an optimized impurity removal algorithm; the zero drift elimination device is connected to the input and output ends of the heating impurity remover, the outlier detection eliminator is welded to the input end of the zero drift elimination device, and the optimized impurity removal algorithm is connected to the input end of the outlier detection eliminator, and the processing speed of the heating impurity remover is higher than that of the zero drift elimination device.
[0010] In the present technical solution, when passing through the acquisition module, the acquisition module is used to collect the phosphine gas data in the sampled gas, and the sampling and impurity removal unit can remove impurities by heating the impurity remover, and eliminate the distinguishing features of the sampling data by the zero drift elimination device. Finally, there is an optimized impurity removal algorithm to optimize the collected data, and the data collection is more accurate.
[0011] Preferably, the multiple proofreading unit includes an outlier identification machine, and the output end of the outlier identification machine is connected to a multi-source data comparator, the output end of the multi-source data comparator is communicatively connected to a calibration algorithm model, and the output end of the calibration algorithm model is connected to an iterative optimization host. The storage module includes a network encrypted cloud disk, a storage encrypted hard disk 1, and a storage encrypted hard disk 2, and the network encrypted cloud disk, the storage encrypted hard disk 1, and the storage encrypted hard disk 2 are stored synchronously. The storage order of the storage encrypted hard disk 1 is superior to the storage order of the storage encrypted hard disk 2, and the storage capacity of the storage encrypted hard disk 1 and the storage encrypted hard disk 2 is the same.
[0012] In the present technical solution, the calibration module is used to perform data proofreading processing on the data, and then the outlier identification machine on the multiple proofreading units is used to identify the outliers, wherein the calibration algorithm model can proofread the algorithm, and the transmission module transmits the optimized data, wherein the main transmission means include forwarding the data, transmitting it to the remote server through the MQTT protocol, and the storage module stores the data, mainly realizing network encryption processing by the network encrypted cloud disk on the storage module, and realizing storage encryption processing by storing encrypted hard disk one. Once the network encrypted cloud disk is full, it will continue to be supplemented by encrypted storage through storage encrypted hard disk two.
[0013] Technical effects and advantages of the present invention: The present invention uses a suction sensor on a pump suction anti-blocking switching unit to sense the suction of the pump. When the suction is low for more than five minutes, an alarm is sounded through a time alarm, and the unblocking electric cylinder pushes the suction of each pump to dredge it. After unblocking, the suction generated by the pump, the pressure value of the negative pressure sensor is the same as the set pressure value, so blockage is prevented, and it is safer to use. The sampling and impurity removal unit can perform heating and impurity removal through a heating impurity remover, and a zero drift eliminater eliminates the distinguishing features of the sampling data, and an abnormal value detection eliminator eliminates abnormal values, so that online monitoring of phosphine is more accurate.
[0014] The present invention realizes the recognition of outliers through an outlier recognition machine on multiple proofreading units, and a multi-source data comparator performs diversified comparison on the data, wherein the calibration algorithm model can proofread the algorithm, thereby optimizing the collected data and ensuring that the collected data is more accurate.
[0015] The present invention stores data through a storage module, and mainly implements network encryption processing through a network encrypted cloud disk on the storage module, and implements storage encryption processing through a first storage encrypted hard disk. Once the network encrypted cloud disk is full, encrypted storage is continued to be replaced through a second storage encrypted hard disk. In this way, storage is more accurate in use, and precise data collection and monitoring are achieved, with better monitoring accuracy.
[0016] The above multiple effects interact with each other. First, the pressure value of the negative pressure sensor is the same as the set pressure value. At the same time, the abnormal value detection eliminator eliminates the abnormal value. Secondly, the calibration algorithm model can calibrate the algorithm, thereby optimizing the collected data. Finally, if the network encrypted cloud disk is full, it will continue to be encrypted and stored through the encrypted hard disk. This storage is more accurate and realizes accurate data collection and monitoring. In summary, not only can the pump suction part avoid blockage during the collection and use process, but also the sampling data collection is finely proofread and processed, and multiple proofreading can be achieved, greatly improving the accuracy of collection and monitoring. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 It is a main view operation schematic diagram of the pump-suction type phosphine online monitoring system of the present invention.
[0018] Figure 2 It is a schematic diagram of the distribution of the pump suction anti-blocking switching unit of the present invention.
[0019] Figure 3 It is a schematic diagram of the distribution of the sampling and impurity removal units of the present invention.
[0020] Figure 4 It is a schematic diagram of the distribution of multiple proofreading units of the present invention.
[0021] Figure 5 It is a schematic diagram of the storage module distribution structure of the present invention.
[0022] Figure 6 The figure is a schematic diagram of the operation flow of the pump-suction type phosphine online monitoring system of the present invention.
[0023] The accompanying drawings are marked as follows: 1. Pump suction module; 2. Collection module; 3. Calibration module; 4. Transmission module; 5. Storage module; 6. Display and warning module; 7. Pump suction anti-blocking switching unit; 8. Sampling and impurity removal unit; 9. Multiple proofreading unit; 10. Suction sensor; 11. Time alarm; 12. Unclogging electric cylinder; 13. Negative pressure proofreading sensor; 14. Heating impurity remover; 15. Zero drift elimination device; 16. Outlier detection eliminator; 17. Optimization impurity removal algorithm; 18. Outlier identification machine; 19. Multi-source data comparator; 20. Calibration algorithm model; 21. Iterative optimization host; 22. Network encrypted cloud disk; 23. Storage encrypted hard disk one; 24. Storage encrypted hard disk two. DETAILED DESCRIPTION
[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0025] As attached Figure 1-6 A pump-suction type phosphine online monitoring system is shown. The pump-suction type phosphine online monitoring system not only avoids blockage of the pump suction part during the collection and use process, but also performs fine proofreading processing on the sampled data collection, and can realize multiple proofreadings, thereby greatly improving the accuracy of collection and monitoring. The specific settings of each module and unit are as follows.
[0026] In this embodiment, as shown in the attached Figure 1-6 As shown, it includes a pumping module 1, a collection module 2 and a calibration module 3. The collection module 2 is connected to the output end of the pumping module 1, and the calibration module 3 is connected to the output end of the collection module 2. The output end of the calibration module 3 is plugged with a transmission module 4, and a storage module 5 is welded at the output end of the transmission module 4. The output end of the storage module 5 will be connected to the display and early warning module 6; the other input end of the pumping module 1 is fixedly installed with a pumping anti-blocking switching unit 7, and the other input end of the collection module 2 is plugged with a sampling and impurity removal unit 8, and the input end of the calibration module 3 is connected with a multiple proofreading unit 9. The pumping module 1 is used to sample the gas in the environment or materials at a regular time, and the pumping module 1 includes a negative pressure pump, and the number of negative pressure pumps is multiple. The collection module 2 is used to collect the phosphine gas data in the sampled gas, and the collection end of the collection module 2 is made of copper. The calibration module 3 is used to perform data proofreading processing on the data, and the transmission module 4 is used to forward the data and transmit it to the remote service end through the MQTT protocol. The storage module 5 is used to receive and store data packets, while the display and warning module 6 is used to centrally display the data and issue warnings for abnormal events.
[0027] In this embodiment, as shown in the attached Figure 2 As shown, the pump suction anti-blocking switching unit 7 includes a suction sensor 10, and the output end of the suction sensor 10 is connected to a time alarm 11, the output end of the time alarm 11 is connected to a clearing electric cylinder 12, and the output end of the clearing electric cylinder 12 is connected to a negative pressure calibration sensor 13, so that the suction sensor 10 on the pump suction anti-blocking switching unit 7 can sense the suction of the pump. When the suction is low for more than five minutes, the time alarm 11 will alarm, and the clearing electric cylinder 12 will be started. The clearing electric cylinder 12 will push and clear the suction of each pump. After clearing, the suction generated by the pump can continue to be sensed by the negative pressure calibration sensor 13. When the pressure value of the negative pressure sensor is the same as the set pressure value, blockage is prevented.
[0028] In this embodiment, as shown in the attached Figure 3 As shown, the sampling and impurity removal unit 8 includes a heating impurity remover 14, a zero drift elimination device 15, an abnormal value detection eliminator 16 and an optimization impurity removal algorithm 17; the zero drift elimination device 15 is connected to the input and output ends of the heating and impurity remover 14, the abnormal value detection eliminator 16 is welded to the input end of the zero drift elimination device 15, and the optimization impurity removal algorithm 17 is connected to the input end of the abnormal value detection eliminator 16, the processing speed of the heating and impurity remover 14 is higher than the processing speed of the zero drift elimination device 15, so that the sampling and impurity removal unit 8 can perform heating and impurity removal through the heating and impurity remover 14, and the zero drift elimination device 15 eliminates the distinguishing features of the sampling data, and the abnormal value detection eliminator 16 eliminates the abnormal values, and finally the optimization impurity removal algorithm 17 optimizes the collected data.
[0029] In this embodiment, as shown in the attached Figure 4 As shown, the multiple proofreading unit 9 includes an outlier recognition machine 18, and the output end of the outlier recognition machine 18 is connected to a multi-source data comparator 19, and a calibration algorithm model 20 is communicatively connected to the output end of the multi-source data comparator 19, and the output end of the calibration algorithm model 20 is connected to an iterative optimization host 21, so that the outliers can be recognized by the outlier recognition machine 18 on the multiple proofreading unit 9, and the multi-source data comparator 19 performs diversified comparison on the data, wherein the calibration algorithm model 20 can proofread the algorithm, and the iterative optimization host 21 optimizes the data through the optimization host, stably realizes the optimization processing, and the optimization processing effect is better.
[0030] In this embodiment, as shown in the attached Figure 5 As shown, the storage module 5 includes a network encrypted cloud disk 22, a storage encrypted hard disk 1 23 and a storage encrypted hard disk 2 24, and the network encrypted cloud disk 22, the storage encrypted hard disk 1 23 and the storage encrypted hard disk 2 24 are stored synchronously. The storage order of the storage encrypted hard disk 1 23 is superior to the storage order of the storage encrypted hard disk 2 24, and the storage capacity of the storage encrypted hard disk 1 23 and the storage encrypted hard disk 2 24 are the same, so that data can be stored through the storage module 5. The network encryption processing is mainly realized by the network encrypted cloud disk 22 on the storage module 5, and the storage encryption processing is realized by the storage encrypted hard disk 1 23. Once the network encrypted cloud disk 22 is full, the storage encrypted hard disk 2 24 continues to replace it for encrypted storage, realizing multi-point synchronous storage.
[0031] The working principle of the pump-suction type phosphine online monitoring system of the present invention is as follows: Step 1: When switching the pump suction anti-blocking, the suction sensor 10 on the pump suction anti-blocking switching unit 7 on the input end of the pump suction module 1 senses the suction of the pump. When the suction is low for more than five minutes, the time alarm 11 alarms and the dredging electric cylinder 12 is started. The dredging electric cylinder 12 pushes the suction of each pump to dredge. After dredging, the suction generated by the pump can continue to sense the negative pressure by the negative pressure calibration sensor 13. When the pressure value of the negative pressure sensor is the same as the set pressure value, blockage is prevented, and it is safer to use. And the pump suction module 1 allows the pump to sample the gas in the environment or materials at regular intervals.
[0032] Step 2, when sampling and removing impurities, when passing through the collection module 2, the collection module 2 is used to collect the phosphine gas data in the sampled gas, and the sampling and removing impurities unit 8 can remove impurities by heating through the heating impurity remover 14, and the zero drift elimination device 15 eliminates the distinguishing features of the sampling data, and the abnormal value detection eliminator 16 eliminates abnormal values, and finally there is an optimized impurity removal algorithm 17 to optimize the collected data, and the data collection is more accurate.
[0033] Step three, during standard multiple proofreading, the calibration module 3 is used to proofread the data, and then the outliers are identified through the outlier identification machine 18 on the multiple proofreading unit 9, and the multi-source data comparator 19 performs diversified comparison on the data, wherein the calibration algorithm model 20 can proofread the algorithm, and the iterative optimization host 21 optimizes the data through the optimization host.
[0034] Step 4: During transmission, the optimized data is transmitted through the transmission module 4, wherein the main transmission means includes forwarding the data and transmitting it to the remote server through the MQTT protocol to realize remote processing operations of various data.
[0035] Step 5. During storage, data is stored through the storage module 5. The network encryption processing is mainly realized by the network encryption cloud disk 22 on the storage module 5, and the storage encryption processing is realized by the storage encryption hard disk 1 23. Once the network encryption cloud disk 22 is full, the storage encryption hard disk 2 24 is used to continue to encrypt and store the data to avoid the data from running away after the storage is full.
[0036] Step 6: During display and warning, the collected data are centrally displayed on the display screen through the display and warning module 6, and warning prompts are issued for abnormal time-driven data, thereby ensuring the safety of online monitoring.
[0037] The contents not described in detail in the specification belong to the prior art known to those skilled in the art, and the model parameters of each electrical appliance are not specifically limited, and conventional equipment can be used. In this technical solution, the electrical control components not mentioned are not shown in the figure because they belong to the prior art and will not be described here.
[0038] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A pump-type phosphine online monitoring system, comprising a ...: The acquisition module (2) is connected to the output end of the pumping module (1), the calibration module (3) is connected to the output end of the acquisition module (2), the output end of the calibration module (3) is communicatively plugged with a transmission module (4), the output end of the transmission module (4) is welded with a storage module (5), and the output end of the storage module (5) is connected to a display and warning module (6); A pump suction anti-blocking switching unit (7) is fixedly mounted on the other input end of the pump suction module (1), a sampling and impurity removal unit (8) is plugged into the other input end of the acquisition module (2), and a multi-calibration unit (9) is connected to the input end of the calibration module (3).
2. The pump-suction type phosphine online monitoring system according to claim 1 is characterized in that: The pumping module (1) is used to regularly sample the gas in the environment or in the material, and the pumping module (1) comprises a negative pressure pump, and the number of negative pressure pumps is multiple.
3. The pump-suction type phosphine online monitoring system according to claim 1 is characterized in that: The collection module (2) is used to collect phosphine gas data in the sampled gas, and the collection end of the collection module (2) is made of copper.
4. The pump-suction type phosphine online monitoring system according to claim 1 is characterized in that: The calibration module (3) is used to perform data calibration processing on the data, and the transmission module (4) is used to forward the data and transmit it to the remote server via the MQTT protocol.
5. The pump-suction type phosphine online monitoring system according to claim 1 is characterized in that: The storage module (5) is used to receive and store data packets, while the display and warning module (6) is used to centrally display data and issue warnings for abnormal events.
6. The pump-suction type phosphine online monitoring system according to claim 1 is characterized in that: The pump suction anti-blocking switching unit (7) comprises a suction sensor (10), and the output end of the suction sensor (10) is connected to a time alarm (11), the output end of the time alarm (11) is connected to a dredging electric cylinder (12), and the output end of the dredging electric cylinder (12) is connected to a negative pressure calibration sensor (13).
7. The pump-suction type phosphine online monitoring system according to claim 1 is characterized in that: The sampling and impurity removal unit (8) comprises a heating impurity remover (14), a zero drift elimination device (15), an abnormal value detection and elimination device (16), and an optimized impurity removal algorithm device (17); The zero drift elimination device (15) is connected to the input and output ends of the heating impurity remover (14), the abnormal value detection eliminator (16) is welded to the input end of the zero drift elimination device (15), and the optimized impurity elimination algorithm (17) is connected to the input end of the abnormal value detection eliminator (16), and the processing speed of the heating impurity remover (14) is higher than the processing speed of the zero drift elimination device (15).
8. The pump-suction type phosphine online monitoring system according to claim 1 is characterized in that: The multi-calibration unit (9) comprises an outlier identification machine (18), and the output end of the outlier identification machine (18) is connected to a multi-source data comparator (19), the output end of the multi-source data comparator (19) is communicatively connected to a calibration algorithm model (20), and the output end of the calibration algorithm model (20) is connected to an iterative optimization host (21).
9. The pump-suction type phosphine online monitoring system according to claim 1 is characterized in that: The storage module (5) comprises a network encrypted cloud disk (22), a first storage encrypted hard disk (23) and a second storage encrypted hard disk (24); the network encrypted cloud disk (22), the first storage encrypted hard disk (23) and the second storage encrypted hard disk (24) are stored synchronously.
10. The pump-suction type phosphine online monitoring system according to claim 9, characterized in that: The storage order of the encrypted storage hard disk one (23) is superior to the storage order of the encrypted storage hard disk two (24), and the storage capacity of the encrypted storage hard disk one (23) and the encrypted storage hard disk two (24) is the same.
