Intelligent internet-of-things landscape station control system, method and equipment and intelligent internet-of-things landscape station

Abstract

The invention discloses an intelligent internet-of-things landscape station control system, method and equipment and an intelligent internet-of-things landscape station, through cooperative perception of an image acquisition device and a gas detection unit, activity associated information of personnel around a warehouse is accurately captured, core pollutants such as ammonia, hydrogen sulfide and volatile organic compounds are specifically monitored, and the intelligent internet-of-things landscape station is obtained. The problem that a traditional system is single in sensing dimension is solved; a negative pressure ventilation system and a three-stage purification unit (pre-filtration, core purification and tail gas treatment) are arranged according to an air flow path from an air inlet to an air outlet to the tail end, and are matched with the air circulation characteristics of a warehouse, so that the whole flow management and control of pollutants from pumping to purification are realized; the local control unit achieves electric linkage of all the components, response lag caused by independent operation of all the modules is avoided, the purification intensity can be adjusted in real time when personnel move and the pollutant concentration changes, energy waste of a fixed purification mode is reduced, it can be guaranteed that the quality of air in a warehouse reaches the standard, and the pollution control effect, the operation economical efficiency and the environmental protection property are considered.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of garbage equipment, in particular to an intelligent Internet of Things landscape station control system, method and device and an intelligent Internet of Things landscape station. BACKGROUND

[0002] The current air purification technology of garbage landscape stations has significant limitations, and the overall scheme is relatively single, which cannot fully adapt to the actual operation characteristics of the station. Most existing technologies use a fixed purification mode, or start and stop the equipment only according to a preset time period, or maintain constant power for continuous operation, without combining the dynamic flow law of personnel and the real-time release of pollutants to adjust flexibly, which cannot balance the dual needs of "pollution control effect" and "energy saving". SUMMARY

[0003] The present application aims to provide an intelligent Internet of Things landscape station control system, method and device, and an intelligent Internet of Things landscape station, which can effectively reduce energy consumption while improving the cleaning effect of the landscape station.

[0004] The intelligent Internet of Things landscape station control system according to the first aspect of the present application comprises: an image acquisition device for acquiring images around the warehouse; a gas detection unit for detecting at least one of ammonia concentration, hydrogen sulfide concentration and volatile organic compound concentration in the warehouse; a negative pressure ventilation system arranged at the top of the warehouse for pumping and exhausting air in the warehouse to the outside; a pre-filtering unit arranged at the air inlet area of the negative pressure ventilation system; a core purification unit arranged at the air outlet area of the negative pressure ventilation system; an exhaust gas treatment unit arranged at the air outlet area of the core purification unit; a local control unit electrically connected with the image acquisition device, the gas detection unit, the negative pressure ventilation system, the core purification unit and the exhaust gas treatment unit.

[0005] The intelligent Internet of Things landscape station according to the second aspect of the present application comprises the intelligent Internet of Things landscape station according to the first aspect.

[0006] The intelligent Internet of Things landscape station control system control method according to the third aspect of the present application is used for controlling the intelligent Internet of Things landscape station control system according to the first aspect, and comprises: acquiring image information acquired by the image acquisition device; determining personnel activity data according to the image information; determine a personnel activity density according to the personnel activity data, the personnel activity density at least comprising a low personnel density, a medium personnel density and a high personnel density; determine a system basic work level parameter according to the personnel activity density, wherein the higher the personnel activity density is, the higher the level of the system basic work level parameter is, obtain gas component and concentration information collected by the gas detection unit; determine a harmful gas concentration level according to the gas component and concentration information; adjust the system basic work level parameter according to the harmful gas concentration level to obtain a system actual work level parameter; adjust the working state of the negative pressure ventilation system, the core purification unit and the tail gas treatment unit according to the system actual work level parameter.

[0007] The electronic device according to the fourth aspect of the present application, the device comprises a processor and a memory storing computer program instructions; The processor executes the computer program instructions to realize the intelligent Internet of Things landscape station control system control method of the above-mentioned fourth aspect embodiment.

[0008] The intelligent Internet of Things landscape station control system, method, device and intelligent Internet of Things landscape station of the embodiments of the present application, through the cooperative perception of the image acquisition device and the gas detection unit, not only accurately capture the personnel activity related information around the warehouse, but also specifically monitor the core pollutants such as ammonia, hydrogen sulfide and volatile organic compounds, solve the problem of single perception dimension of the traditional system; it arranges the negative pressure ventilation system and the three-stage purification unit (pre-filtering, core purification and tail gas treatment) according to the air flow path of the inlet-air outlet-air end, adapts to the air circulation characteristics of the warehouse, realizes the whole process control of pollutants from pumping to purification; the local control unit realizes the electrical linkage of each component, avoids the response lag caused by independent operation of each module, can not only adjust the purification intensity in real time when the personnel activity and the pollutant concentration change, reduce the energy waste of fixed purification mode, but also can guarantee that the air quality in the warehouse meets the standard, and give consideration to pollution control effect, operation economy and environmental protection.

[0009] Other features and advantages of the present application will be described in the following description, and some will become apparent from the description, or will be learned by practice of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0010] The above and / or additional aspects and advantages of the present application will become apparent and be readily understood from the following description, taken in conjunction with the accompanying drawings, in which: Figure 1 The electrical system diagram of the intelligent Internet of Things landscape station control system provided by the embodiments of the present application is shown; Figure 2 A schematic diagram of the overall structure of the intelligent Internet of Things landscape station provided in the embodiments of the present application is shown in the figure. Figure 3 A schematic diagram of the structure of the warehouse provided in the embodiments of the present application is shown in the figure. Figure 4 A flowchart of the control method of the control system of the intelligent Internet of Things landscape station provided in the embodiments of the present application is shown in the figure.

[0011] Reference signs: Warehouse 100, steel structure frame 101, outer finish layer 102, garbage compressor 200, rack 201, garbage box body 202, feeding hopper 203, material turning hopper 204, negative pressure ventilation system 300, image acquisition device 401, gas detection unit 402, core purification unit 403, tail gas treatment unit 404, dust detection device 405, wireless communication module 406, local control unit 407, control center 500. DETAILED DESCRIPTION

[0012] The embodiments of the present application will be described in detail below, and examples of the embodiments are shown in the drawings, in which the same or similar reference signs represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are only used to explain the present application, and cannot be understood as a limitation on the present application.

[0013] In the description of the present application, if the first, second, etc. are described, it is only for the purpose of distinguishing technical features, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features or the sequence of the indicated technical features.

[0014] In the description of the present application, it should be understood that the orientation description, such as the orientation or position relationship indicated by up, down, etc. is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present application and simplifying the description, and is not intended to indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0015] In the description of the present application, it should be noted that, unless otherwise explicitly limited, the words such as setting, installing, connecting, etc. should be broadly understood, and the person skilled in the art can reasonably determine the specific meaning of the above words in the present application in combination with the specific content of the technical solution.

[0016] The technical solutions of the present application will be described in detail below in combination with the drawings. Obviously, the following described embodiments are only part of the embodiments of the present application, not all embodiments.

[0017] In order to better describe the intelligent Internet of Things landscape station control system, method, equipment and intelligent Internet of Things landscape station of the embodiments of the present application, a landscape station is proposed here, referring to Figure 2 、 Figure 3 The landscape station includes a warehouse 100 and a garbage compressor 200. The warehouse 100 includes a steel structure frame 101 and an outer finish layer 102, which is arranged on the outer side of the steel structure frame 101 and serves as the force support foundation of the warehouse 100 through the steel structure frame 101. The garbage compressor 200 is arranged in the warehouse 100. The garbage compressor 200 includes a rack 201 and a garbage box body 202, and the rack 201 is arranged on the ground of the warehouse 100, and the garbage box body 202 is arranged at the upper end of the rack 201.

[0018] It can be understood that the intelligent Internet of Things landscape station of the embodiments can effectively shorten the construction time compared with the traditional concrete brick masonry structure by arranging the warehouse 100 of the steel structure frame 101, and the garbage compressor 200 is also installed overhead by the rack 201, without the need to construct a foundation pit, and the combination of the two can effectively reduce the construction period and cost. And the warehouse 100 is provided with the outer finish layer 102, compared with the masonry structure, the outer finish of the steel structure can have more rich design styles and colors, and can be flexibly adjusted according to the city appearance requirements, so as to better integrate into the city appearance design and form a landscape station.

[0019] Further, the intelligent Internet of Things landscape station can also include a negative pressure ventilation system 300 and a control center 500. The negative pressure ventilation system 300 is arranged at the top of the warehouse 100 and is used to exhaust the air in the warehouse 100 to the outside. The control center 500 is remotely connected to the garbage compressor 200 and the negative pressure ventilation system 300, and is used to control the operation of the garbage compressor 200 and the negative pressure ventilation system 300.

[0020] The negative pressure ventilation system 300 provided in the embodiments can timely treat the odor in the warehouse 100 and improve the on-site environment. At the same time, remote control can be realized through the control center 500 to realize intelligent Internet of Things operation, without the need for workers to work in the warehouse 100 all the time, which is beneficial to improve the labor intensity of workers.

[0021] In some embodiments of the present application, the garbage compressor 200 can further comprise a material turning mechanism. The material turning mechanism is provided with a material turning hopper 204, which has a first state and a second state. When in the first state, the material turning hopper 204 is supported on the ground of the warehouse 100 and keeps the opening upward. When in the second state, the material turning hopper 204 is located above the garbage box 202 and makes the opening butt joint with the feeding hopper 203. It can be understood that the material turning hopper 204 is turned over by the material turning mechanism control, so as to switch between the first state and the second state. In operation, the material turning hopper 204 is first in the first state, used to receive the garbage sent from outside. When the garbage in the material turning hopper 204 reaches a certain amount, or after a certain storage time, the material turning mechanism turns over the material turning hopper 204 to butt joint with the feeding hopper 203, so as to send the garbage from the feeding hopper 203 into the garbage box 202.

[0022] In some embodiments of the present application, the top of the warehouse 100 is further provided with a spray dust removal system. Since dust may be generated when dumping garbage into the feeding hopper 203, the spray dust removal system is provided to solve the dust generated when dumping garbage. Specifically, the spray dust removal system is provided with spray pipes on the left and right sides of the top of the warehouse 100, the spray pipes are provided with a plurality of atomizing nozzles in the front-rear direction, and the spray pipes are connected with a water supply system. In operation, the water supply system supplies water to the spray pipes, which sprays water out through the atomizing nozzles to adsorb dust in the air, achieving the purpose of dust suppression and dust reduction.

[0023] Referring to Figures 1 to 3 The intelligent Internet of Things landscape station control system provided by an embodiment of the present application comprises: An image acquisition device 401 is configured to acquire images around the warehouse 100. A gas detection unit 402 is configured to detect at least one of ammonia concentration, hydrogen sulfide concentration, and volatile organic compound concentration in the warehouse 100. A negative pressure ventilation system 300 is arranged on the top of the warehouse 100 and is configured to exhaust air in the warehouse 100 to the outside. A pre-filtering unit is arranged at an air inlet area of the negative pressure ventilation system 300. A core purification unit 403 is arranged at an air outlet area of the negative pressure ventilation system 300. An exhaust gas treatment unit 404 is arranged at an air outlet area of the core purification unit 403. A local control unit 407 is electrically connected with the image acquisition device 401, the gas detection unit 402, the negative pressure ventilation system 300, the core purification unit 403, and the exhaust gas treatment unit 404.

[0024] In the embodiment of the present application, the detection of the blade advancing distance can be realized by the advancing detection system, and then the monitoring of the advancing state of the blade is completed. Meanwhile, the operation information can be acquired by means of the operation information acquisition unit, and the confirmation of the abnormal operation state is completed based on the operation information. Finally, the blade advancing distance, the advancing state and the abnormal operation state are presented in real time through the display unit, so that the operator can master the working state of the intelligent landscape station in real time. The scheme of the embodiment of the present application can effectively make up for the problem of insufficient equipment information feedback, significantly reduce the surgical risk caused by information loss, and provide strong guarantee for the safety and accuracy of surgical operation.

[0025] The image acquisition device 401 described above can adopt multiple high-definition network cameras, and is arranged at the entrance and the middle part of the outer wall of the warehouse 100 respectively to monitor the personnel activity data around the landscape station. The image acquisition device 401 is respectively installed at the east entrance of the warehouse 100 (2.5 m away from the ground, the visual angle covers the entrance and the surrounding 3 m range), the middle part of the south outer wall (3 m away from the ground, monitors the personnel activity in the leisure area outside the warehouse 100), and the north inner wall (facing the temporary storage area, monitors the personnel operation state in the warehouse 100), the resolution is 0P, the frame rate is 25 fps, and the color image data is transmitted in real time through the network cable and the local control unit 407.

[0026] The gas detection unit 402 described above can adopt a gas sensor, which can specifically include at least two ammonia / hydrogen sulfide two-in-one sensors embedded in different areas inside and outside the box, and at least one VOCs sensor installed outside the box in the warehouse 100. All sensors can be connected to the local control unit 407 through a bus module such as RS bus.

[0027] The negative pressure ventilation system 300 described above is multiple centrifugal exhaust fans, and the power can be adjusted through the local control unit 407.

[0028] The pre-filter unit described above can be an activated carbon filter screen embedded in the inside of the air inlet of the negative pressure ventilation system 300, and is fixed by buckles for convenient replacement, which is used for preliminary adsorption of large particle dust and part of odor in the air.

[0029] The core purification unit 403 described above adopts a biological trickling tower, which is connected in series to the air outlet pipeline of the negative pressure ventilation system 300. The tower body is provided with a circulating water pump, which delivers nutrient solution to the surface of the carrier through spraying to deeply degrade ammonia, hydrogen sulfide and other malodorous substances. In addition, activated carbon substances can also be further combined to increase the filtering effect. It can be understood that in some scenarios, in order to facilitate the installation of the biological trickling tower, the air outlet pipeline of the negative pressure ventilation system 300 can be extended to adapt to the installation position of the biological trickling tower.

[0030] The tail gas treatment unit 404 can be an existing product for eliminating volatile organic compounds, such as a UV photocatalytic device, installed at the outlet end of the core purification unit 403.

[0031] The local control unit 407 can be a single-chip microcomputer, a DSP, a PLC, or the like. Specifically, the local control unit 407 can be a PLC controller, such as a Siemens S7 series. The local control unit 407 can be installed in a control cabinet outside the warehouse 100.

[0032] Reference Figure 1 In some embodiments, the intelligent Internet of Things landscape station control system further includes: A dust detection device 405 electrically connected to the local control unit 407 and arranged in the warehouse 100. A spray dust removal system electrically connected to the local control unit 407 and arranged at the top of the warehouse 100, for spraying dust removal.

[0033] The dust detection device 405 is electrically connected to the local control unit 407 and arranged in the warehouse 100, for detecting the dust concentration in the warehouse 100. Specifically, the dust detection device 405 can be a laser dust sensor, an infrared dust sensor, or the like, and can be arranged in areas where dust is easily generated and the entire space of the warehouse 100, to collect dust data in real time and transmit the data to the local control unit 407.

[0034] The spray dust removal system is also electrically connected to the local control unit 407 and arranged at the top of the warehouse 100, and can include a water supply device, a spray head, and a control valve, to start spraying under the instruction of the local control unit 407, and to adsorb dust in the air through atomized water particles.

[0035] In this embodiment, when the system is running, the local control unit 407 receives data from the dust detection device 405. When the dust concentration exceeds the standard, the local control unit 407 controls the start and stop of the spray dust removal system and the spraying intensity according to the personnel situation determined by the image acquisition device 401 (for example, in the case where no personnel is present at the entrance of the warehouse 100), to effectively reduce dust while reducing the impact on personnel activities.

[0036] In some embodiments, the image acquisition device 401 includes: A plurality of camera devices electrically connected to the local control unit 407 and arranged at least at the entrance of the warehouse 100 and outside the warehouse 100.

[0037] The camera devices can be image monitoring devices.

[0038] In the embodiment, by arranging multiple camera devices outside the entrance and the warehouse 100, detection of personnel activities can be effectively improved, and the situation of detecting only the entrance and ignoring the viewing personnel can be reduced, thereby effectively improving the friendliness of the entire viewing station to the viewing personnel.

[0039] In some embodiments, the intelligent Internet-of-Things viewing station control system described above further comprises: The wireless communication module 406 is electrically connected to the local control unit 407. The control center 500 is in communication connection with the wireless communication module 406.

[0040] In the embodiment, the wireless communication module 406 can be connected to the remote control center 500, so that personnel of the control center 500 can remotely know the real-time situation of the viewing station, without the need of a local fixed personnel for maintenance, thereby reducing the demand for maintenance personnel and effectively reducing the cost.

[0041] The present application also provides an intelligent Internet-of-Things viewing station, which comprises the intelligent Internet-of-Things viewing station control system described above. Because the intelligent Internet-of-Things viewing station has the intelligent Internet-of-Things viewing station control system, it has all the beneficial effects brought by the intelligent Internet-of-Things viewing station control system.

[0042] Referring to Figure 4 , Figure 4 is a flowchart of the intelligent Internet-of-Things viewing station control system control method provided by an embodiment of the present application, which is used for controlling the intelligent Internet-of-Things viewing station control system described above, and comprises steps S100 to S800. S100, acquiring image information collected by the image collection device 401; S200, determining personnel activity data according to the image information; S300, determining personnel activity density according to the personnel activity data, wherein the personnel activity density at least comprises low personnel density, medium personnel density and high personnel density; S400, determining system basic work level parameters according to the personnel activity density, wherein the higher the personnel activity density is, the higher the level of the corresponding system basic work level parameters is, S500, acquiring gas component and concentration information collected by the gas detection unit 402; S600, determining harmful gas concentration level according to the gas component and concentration information; S700, adjusting the system basic work level parameters according to the harmful gas concentration level to obtain system actual work level parameters; S800, adjusting the working state of the negative pressure ventilation system 300, the core purification unit 403, and the tail gas treatment unit 404 according to the system actual working level parameter.

[0043] The intelligent Internet of Things landscape station control system control method in the embodiment of the application can be applied to the local control unit 407 or the remote control center 500.

[0044] The intelligent Internet of Things landscape station control system control method in the embodiment of the application is realized based on the above-mentioned intelligent Internet of Things landscape station control system, and the intelligent Internet of Things landscape station control system has been described in detail above, and will not be described again here.

[0045] The image information collected by the image collection device 401 is obtained, and the personnel activity data is determined by recognizing the human features in the image, including the number of personnel, the position, and the length of stay.

[0046] The personnel activity density calculated according to the personnel activity data can be understood as being divided into three levels, i.e., low, medium, and high. For example, the low personnel density can mean that the number of personnel in the warehouse 100, the entrance, and the viewing area is ≤2 and there is no gathering; the medium personnel density can mean that there are 3-5 people scattered in the warehouse 100, the entrance, and the viewing area; and the high personnel density can mean that there are ≥6 people in the warehouse 100, the entrance, and the viewing area or there is gathering and staying.

[0047] The system basic working level parameter can be understood as different purification intensity benchmarks or different initial purification levels.

[0048] The harmful gas concentration level can be used to determine whether there is an over-standard or further determine whether there is a mild over-standard or a severe over-standard, and different determination methods have different adjustment methods for the system basic working level parameter.

[0049] The adjustment of the system basic working level parameter can be understood as maintaining the basic level when the harmful gas concentration level indicates normal concentration, and increasing the level when the harmful gas concentration level indicates over-standard concentration.

[0050] In the embodiment, the personnel activity density is determined by the image information collected by the image collection device, and the system basic working level is set based on this, so as to realize the preliminary matching of the purification intensity and the personnel demand; and then the harmful gas concentration level determined by the gas detection data is combined to dynamically adjust the basic level to obtain the actual working parameter, so that the purification strategy is adapted to the personnel activity and the pollution condition. This “personnel-concentration” two-dimensional linkage control logic avoids energy waste in the fixed mode and prevents the purification lag caused by single concentration triggering, so as to significantly improve the system operation efficiency while ensuring that the air quality in the warehouse 100 meets the standard, and to balance the environmental protection effect and the energy saving demand.

[0051] In some embodiments, the system basic working parameters are determined according to the personnel activity density, including: In the case where the personnel activity density indicates low personnel density, the system basic working level parameter is determined as level one purification, which indicates that the negative pressure ventilation system 300 works at a first power, the core purification unit 403 does not work, and the tail gas treatment unit 404 does not work. In the case where the personnel activity density indicates medium personnel density, the system basic working level parameter is determined as level two purification, which indicates that the negative pressure ventilation system 300 works at a second power, the core purification unit 403 works, and the tail gas treatment unit 404 does not work. In the case where the personnel activity density indicates high personnel density, the system basic working level parameter is determined as level three purification, which indicates that the negative pressure ventilation system 300 works at a third power, the core purification unit 403 works, and the tail gas treatment unit 404 works, wherein the first power is less than the second power, and the second power is less than the third power.

[0052] When the personnel activity density is low personnel density (such as the number of personnel in the warehouse 100 is ≤2 and there is no continuous stay), the system basic working level parameter is set to level one purification, at this time the negative pressure ventilation system 300 works at a first power (such as 30%-40% of the rated power), the core purification unit 403 and the tail gas treatment unit 404 are both closed, and only basic ventilation is maintained.

[0053] When it is medium personnel density (such as 3-5 people are scattered activities), the basic level is set to level two purification, the negative pressure ventilation system 300 works at a second power (such as 50%-60% of the rated power), the core purification unit 403 is started, and the tail gas treatment unit 404 is closed, so as to enhance the purification depth.

[0054] When it is high personnel density (such as ≥6 people or gather stay), the basic level is set to level three purification, the negative pressure ventilation system 300 works at a third power (such as 70%-100% of the rated power), the core purification unit 403 and the tail gas treatment unit 404 are both started, so as to achieve overall purification, and the first power < the second power < the third power.

[0055] In this embodiment, the correspondence between the personnel activity density and the system basic working level parameter is determined, and accurate purification criteria are provided for different personnel scenarios. In low personnel density, only low-power negative pressure ventilation is started to avoid energy waste; in medium personnel density, the core purification unit 403 is linked to balance purification and energy consumption; in high personnel density, the full module is operated at high power to ensure the safety of the breathing of the dense crowd. At the same time, by setting a gradient of "first power < second power < third power", the negative pressure ventilation intensity increases with the personnel demand, which not only avoids the limitations of single power operation, but also makes the purification strategy more operable, effectively adapts to the dynamic changes of the personnel in the landscape station warehouse 100, and balances the pollution control effect and operation economy.

[0056] In some embodiments, according to the harmful gas concentration level, the system basic working level parameter is adjusted to obtain the system actual working level parameter, including: In the case that the harmful gas concentration level is indicated to be over standard, the system basic working level is upgraded to obtain the system actual working level parameter.

[0057] The system pre-sets the safety threshold of each gas concentration. When the harmful gas concentration level is normal (not exceeding the threshold), the current basic working level parameter is maintained unchanged.

[0058] In this embodiment, based on the rule of "upgrading the basic working level when the concentration is over standard", a flexible purification intensity dynamic adjustment mechanism is constructed. When the harmful gas concentration is abnormal, the purification level can be quickly improved without complex logic, avoiding the pollution risk caused by the mismatch between the pollutant concentration and the purification capacity; the negative pressure power is still increased when the basic level is three, to ensure the purification redundancy in extreme cases. At the same time, the design of upgrading only when over standard avoids unnecessary increase of energy consumption, which not only retains the energy-saving advantage of "personnel density determining the basis", but also compensates for the limitations of fixed level through concentration feedback, realizes "upgrading as needed, precise pollution control", and significantly improves the response ability of the system to sudden pollution.

[0059] In some embodiments, according to the gas composition and concentration information, the harmful gas concentration level is determined, and further includes: The ammonia concentration, hydrogen sulfide concentration, and volatile organic matter concentration in the warehouse 100 detected by the gas detection unit 402 are obtained; According to the ammonia concentration, hydrogen sulfide concentration, and volatile organic matter concentration, the ammonia harmful level, hydrogen sulfide harmful level, and volatile organic matter harmful level are determined respectively; According to the ammonia harmful level, hydrogen sulfide harmful level, and volatile organic matter harmful level, the harmful gas concentration level is determined.

[0060] In this embodiment, by disassembling the harmful gas concentration level determination process, the fine management and control of multiple pollutants are realized. First, the respective levels of ammonia, hydrogen sulfide and volatile organic compounds are separately divided, and then the overall concentration level is comprehensively determined, which not only avoids the neglect of single gas exceeding the standard, but also prevents the interference between multiple gases from affecting the accuracy of judgment. This grading logic enables the system to accurately identify the pollution source and severity, providing a clear basis for adjusting the purification strategy, solving the problem of difficult targeted treatment when traditional pollutants are mixed, ensuring that the purification measures are accurately matched with the actual pollution characteristics, and improving the adaptability and pollution control reliability of the system in complex gas environment.

[0061] The determination of the harmful gas concentration level according to the ammonia harmful level, the hydrogen sulfide harmful level and the volatile organic compound harmful level can be determined by using the weight method, for example, a corresponding weight is set for each gas, then after determining the level of each gas, the weight is used for further calculation to determine the final harmful gas concentration level. The current highest level of ammonia, hydrogen sulfide and volatile organic compounds can also be used as the harmful gas concentration level to avoid misjudgment in extreme cases, that is, environmental safety is prioritized.

[0062] The embodiment of the present application also provides an electronic device, which comprises a processor and a memory storing computer program instructions; the processor implements the intelligent Internet of Things landscape station control system control method as described above when executing the computer program instructions. The source table provided by the embodiment of the present application can realize each process realized by the intelligent Internet of Things landscape station control system control method embodiment, and achieve the same beneficial effects. To avoid repetition, details are not repeated here.

[0063] The embodiment of the present application also provides a computer readable storage medium storing computer executable instructions, which are executed by a processor or control module, so that the processor executes the intelligent Internet of Things landscape station control system control method in the above embodiment, for example, executes the method described above.

[0064] It should be clear that the present application is not limited to the specific configurations and processes described above and shown in the drawings. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between steps, after understanding the spirit of the present application.

[0065] The functional blocks shown in the structural block diagrams above can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits, appropriate firmware, plug-ins, function cards, and the like. When implemented in software, the elements of the present application are program or code segments that are used to perform the required tasks. The program or code segments can be stored in a machine-readable medium or transmitted through a data signal carried in a carrier wave over a transmission medium or communication link. A "machine-readable medium" includes any medium that can store or transport information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROMs, flash memories, erasable ROMs, floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency links, and the like. The code segments can be downloaded via computer networks such as the Internet, intranets, and the like.

[0066] It should also be noted that the exemplary embodiments mentioned in the present application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiments, or in an order different from the embodiments, or several steps can be performed simultaneously.

[0067] The above describes the aspects of the present application with reference to flowcharts and / or block diagrams of methods, apparatuses and computer program products according to embodiments of the present disclosure. It should be understood that each block in the flowcharts and / or block diagrams and the combination of blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus enable the implementation of the functions / acts specified in one or more blocks of the flowcharts and / or block diagrams. The processor can be a general-purpose processor, a special-purpose processor, a special application processor, or a field programmable logic circuit. It should also be understood that each block in the block diagrams and / or flowcharts and the combination of blocks in the block diagrams and / or flowcharts can also be implemented by special-purpose hardware to perform the specified functions or acts, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0068] The above is only a specific embodiment of the present application, and those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems, modules and units can refer to the corresponding processes in the foregoing method embodiments, which will not be described here. It should be understood that the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be covered within the protection scope of the present application.

Claims

1. A smart IoT landscape station control system, characterized in that, include: Image acquisition device, used to acquire images of the area surrounding the warehouse; A gas detection unit is used to detect at least one of the following concentrations in the warehouse: ammonia concentration, hydrogen sulfide concentration, and volatile organic compound concentration. A negative pressure ventilation system, installed at the top of the warehouse, is used to exhaust the air inside the warehouse to the outside. The pre-filter unit is located in the air inlet area of ​​the negative pressure ventilation system; The core purification unit is located in the air outlet area of ​​the negative pressure ventilation system; An exhaust gas treatment unit is located in the air outlet area of ​​the core purification unit; The local control unit is electrically connected to the image acquisition device, the gas detection unit, the negative pressure ventilation system, the core purification unit, and the exhaust gas treatment unit.

2. The intelligent IoT landscape station control system according to claim 1, characterized in that, Also includes: A dust detection device electrically connected to the local control unit is installed inside the warehouse; A spray dust removal system electrically connected to the local control unit is installed on the top of the warehouse for spray dust removal.

3. The intelligent IoT landscape station control system according to claim 1, characterized in that, The image acquisition device includes: Multiple camera devices, all electrically connected to the local control unit, are installed at least at the entrance of the warehouse and outside the warehouse.

4. The intelligent IoT landscape station control system according to claim 1, characterized in that, Also includes: A wireless communication module is electrically connected to the local control unit; The control center is connected to the wireless communication module.

5. A smart IoT landscape station, characterized in that, Including the intelligent IoT landscape station control system as described in any one of claims 1 to 4.

6. A control method for an intelligent IoT landscape station control system, characterized in that, For controlling the intelligent IoT landscape station control system as described in any one of claims 1 to 4, the control method of the intelligent IoT landscape station control system includes: Acquire image information captured by the image acquisition device; Based on the image information, determine personnel activity data; The personnel activity density is determined based on the personnel activity data, and the personnel activity density includes at least low personnel density, medium personnel density and high personnel density; Based on the personnel activity density, the basic work level parameter of the system is determined, wherein the higher the personnel activity density, the higher the level of the basic work level parameter of the system. Obtain the gas composition and concentration information collected by the gas detection unit; Based on the gas composition and concentration information, the concentration level of harmful gases is determined; Based on the concentration level of the harmful gas, the basic operating level parameters of the system are adjusted to obtain the actual operating level parameters of the system. Adjust the working status of the negative pressure ventilation system, the core purification unit, and the exhaust gas treatment unit according to the actual working level parameters of the system.

7. The control method for the intelligent IoT landscape station control system according to claim 6, characterized in that, The determination of the system's basic operating parameters based on the personnel activity density includes: When the personnel activity density indicator is low, the system basic working level parameter is determined to be Level 1 purification. Level 1 purification indicates that the negative pressure ventilation system operates at the first power, the core purification unit does not operate, and the exhaust gas treatment unit does not operate. When the personnel activity density indicator is the medium personnel density, the system basic working level parameter is determined to be level two purification. The level two purification indicates that the negative pressure ventilation system operates at the second power, the core purification unit operates, and the exhaust gas treatment unit does not operate. When the personnel activity density indicator is high personnel density, the system basic working level parameter is determined to be level three purification. Level three purification indicates that the negative pressure ventilation system operates at the third power, the core purification unit operates, and the exhaust gas treatment unit operates, wherein the first power operation is less than the second power operation, which is less than the third power operation.

8. The control method for the intelligent IoT landscape station control system according to claim 6, characterized in that, The step of adjusting the system's basic operating level parameters according to the harmful gas concentration level to obtain the system's actual operating level parameters includes: If the concentration level of the harmful gas exceeds the limit, the basic working level of the system is upgraded to obtain the actual working level parameters of the system.

9. The control method for the intelligent IoT landscape station control system according to claim 6, characterized in that, The step of determining the concentration level of harmful gases based on the gas composition and concentration information further includes: The gas detection unit detects the concentrations of ammonia, hydrogen sulfide, and volatile organic compounds in the warehouse. Based on the concentrations of ammonia, hydrogen sulfide, and volatile organic compounds, the hazard levels of ammonia, hydrogen sulfide, and volatile organic compounds are determined respectively. The concentration levels of harmful gases are determined based on the hazard levels of ammonia, hydrogen sulfide, and volatile organic compounds.

10. An electronic device, characterized in that, The electronic device includes a processor and a memory storing computer program instructions; When the processor executes the computer program, it implements the control method of the intelligent IoT landscape station control system as described in any one of claims 6 to 9.

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