Park multi-dimensional low-power-consumption environment gas detection method and system

Abstract

The invention provides a park multi-dimensional low-power-consumption environment gas detection method and system, and relates to the technical field of detection, and the method comprises the steps: obtaining the operation state of related equipment of a warehouse and environment parameters inside and outside the warehouse based on a far-end platform, so as to generate a strategy instruction, the strategy instruction is verified and analyzed through a central control cabinet, and a reading instruction is generated; the reading instruction is checked and analyzed through a tail end detection unit, and the tail end detection unit executes uploading of detection data according to the analyzed reading instruction; the central control cabinet verifies the detection data, and if the detection data is correct, the tail end detection unit is dormant; and if the detection data is wrong, the central control cabinet resends the reading instruction until the detection data uploaded by the tail end detection unit is verified to be correct.

Description

Technical Field

[0001] The present application belongs to the field of detection technology, and specifically relates to a multi-dimensional low-power consumption environmental gas detection method and system for a park. Background Art

[0002] With the rapid development of industrialization and smart storage parks, environmental monitoring has become a key factor in ensuring sustainable development. As an important part of promoting economic growth, the environmental status of the park directly affects the sustainable development capacity of the region. Therefore, strengthening environmental monitoring in the park and ensuring green development have important social significance and economic value. However, the existing park environmental gas detection equipment and technology face many challenges, such as single equipment function, delayed data upload, scattered installation and inability to aggregate data in real time. In addition, these devices often form information islands and cannot be effectively integrated with the park's centralized control platform. In addition, they usually use proprietary communication protocols, which makes data sharing and remote management complicated and costly.

[0003] In the design and construction process of the traditional environmental gas monitoring system, since each terminal device needs to lead the power line from the control cabinet, this not only increases the workload of pre-embedded engineering and increases the cost of integrated wiring, but sometimes even requires the destruction of the original ground structure to complete the line laying, resulting in additional expenses. At the same time, this also brings a lot of inconvenience to the on-site construction personnel, because the data line and the control line are often located in different working locations, which increases the labor intensity of the workers and reduces the construction efficiency of the entire project. From a long-term perspective, these factors will increase the maintenance and operation costs of the system, which is not conducive to the realization of the intelligent management and green sustainable development goals of the park. Summary of the invention

[0004] The present application provides a multi-dimensional, low-power environmental gas detection method and system for a park, in order to solve the technical problems in the prior art that the environmental gas detection equipment inside and outside the park warehouse is of various types, the installation locations are scattered, the data cannot be uploaded in time, and the centralized control platform of the park cannot be accessed.

[0005] The technical solution adopted in this application is:

[0006] The embodiment of the present application provides a multi-dimensional low-power consumption environmental gas detection method for a park, comprising:

[0007] Based on the remote platform, the operating status of the associated equipment in the warehouse and the environmental parameters inside and outside the warehouse are obtained to generate policy instructions, and the policy instructions are verified and analyzed by the central control cabinet to generate read instructions;

[0008] The read instruction is verified and parsed by an end detection unit, and the end detection unit executes uploading detection data according to the parsed read instruction;

[0009] The central control cabinet verifies the detection data. If the detection data is correct, the terminal detection unit goes into sleep mode. If the detection data is wrong, the central control cabinet resends the read instruction until the detection data uploaded by the terminal detection unit is verified to be correct.

[0010] According to an embodiment of the present application, the strategy instructions generated by acquiring the operating status of the associated equipment of the warehouse and the environmental parameters inside and outside the warehouse based on the remote platform are verified and parsed by the central control cabinet to generate the read instructions, specifically:

[0011] The remote platform obtains the operating status of the associated equipment of the warehouse and the environmental parameters inside and outside the warehouse. The monitoring software of the remote platform generates an associated strategy according to the equipment status and the read data acquisition model, encapsulates the associated strategy into the strategy instruction through the protocol, and sends the strategy instruction to the central control cabinet;

[0012] The central control cabinet verifies the strategy instruction, determines the integrity and correctness of the strategy instruction, and after determining that the strategy instruction is correct, parses the strategy instruction into the read instruction.

[0013] According to an embodiment of the present application, the end detection unit verifies and parses the read instruction, and the end detection unit performs uploading detection data according to the parsed read instruction, specifically:

[0014] The terminal detection unit verifies the read instruction, determines the integrity and correctness of the read instruction through the protocol, and parses the read instruction after determining that it is correct. According to the parsed read instruction, the port status of the IO input and output unit of the terminal detection unit is changed to control the start and stop of the terminal device, and obtain corresponding data to form the detection data for uploading.

[0015] According to one embodiment of the present application, the end detection unit adopts a timed idle mode.

[0016] According to one embodiment of the present application, the end detection unit determines to release the sleep state based on the read instruction issued by the central control cabinet.

[0017] A multi-dimensional low-power environmental gas detection system for a park, comprising:

[0018] The display module is used to display and output the environmental gas information inside and outside the warehouse through the computer web terminal, mobile application or display screen;

[0019] The strategy module is responsible for controlling strategy formulation and execution, as well as predicting future environmental change trends by analyzing historical data;

[0020] Support module, used for power-on self-test, device status check, timed query, timed reporting, local settings, local warning, local storage and control output;

[0021] Physical module, used to detect environmental parameters;

[0022] Terminal sensors are used to detect specific gases and particles;

[0023] The display module is connected to the policy module, and the policy module is communicatively connected to the support module, the physical module and the terminal sensor.

[0024] According to one embodiment of the present application, the strategy module includes a remote platform, which is responsible for generating control strategies, including but not limited to querying device status and obtaining data operations, and packaging these strategies in the form of instructions and sending them to the central control cabinet.

[0025] According to one embodiment of the present application, the support module includes a central control cabinet, which is responsible for parsing the policy instructions issued by the remote platform, and disassembling them and sending them to the corresponding terminal detection units. It is also responsible for collecting data from the terminal detection units and feeding them back to the remote platform.

[0026] According to one embodiment of the present application, the physical module corresponds to a terminal detection unit in the park, which is responsible for collecting environmental data and transmitting it to a central control cabinet wirelessly.

[0027] According to one embodiment of the present application, the terminal sensor refers to the oxygen, carbon dioxide, phosphine, PM2.5 and PM10 terminal sensors inside and outside the warehouse. The terminal sensor is the front end of data collection, responsible for real-time detection of environmental parameters and transmitting data to the equipment of the physical module.

[0028] Due to the adoption of the above technical solution, the beneficial effects achieved by this application are as follows:

[0029] This application obtains the operating status of the warehouse's associated equipment and the environmental parameters inside and outside the warehouse through a remote platform to generate policy instructions. The central control cabinet verifies and parses the received policy instructions, generates a read instruction and sends it to the terminal detection unit. After the terminal detection unit verifies and parses the read instruction, it uploads the detection data according to the analysis result. The central control cabinet verifies the uploaded detection data. If the data is correct, the terminal detection unit enters sleep mode. If the data is wrong, the central control cabinet resends the read instruction until the data is verified to be correct. This process ensures the accuracy and reliability of the data, improves the intelligence level and management efficiency of the system, and avoids the frequent retransmission and system instability problems caused by data transmission errors in traditional equipment. At the same time, through the low-power design and sleep mechanism of the terminal detection unit, the energy consumption of the system is significantly reduced, the service life of the equipment is extended, and the performance and user experience of the park environment monitoring system are improved as a whole. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0031] Figure 1 An architecture diagram of a multi-dimensional low-power environmental gas detection system for a park provided in an embodiment of the present application;

[0032] Figure 2 A flow chart of a multi-dimensional low-power environmental gas detection method for a park provided in an embodiment of the present application;

[0033] Figure 3 A remote platform generation strategy instruction flow chart of a multi-dimensional low-power environmental gas detection system for a campus provided in an embodiment of the present application;

[0034] Figure 4 A structure diagram of a control cabinet core board of a multi-dimensional low-power environmental gas detection system for a park provided in an embodiment of the present application;

[0035] Figure 5 A flow chart of the parsing instructions of the core board of the central control cabinet of a multi-dimensional low-power environmental gas detection system for a park provided in an embodiment of the present application;

[0036] Figure 6 A core board structure diagram of an end detection unit of a multi-dimensional low-power consumption environmental gas detection system for a park provided in an embodiment of the present application;

[0037] Figure 7 A flow chart of the low-power operation mode of a terminal detection unit of a multi-dimensional low-power environmental gas detection system for a campus provided in an embodiment of the present application.

[0038] Among them, 1. Central control cabinet power supply unit; 2. Touch screen; 3. Central control cabinet processor; 4. Central control cabinet wireless communication unit; 5. Central control cabinet memory; 6. Terminal detection unit power supply unit; 7. IO input and output unit; 8. Terminal detection unit processor; 9. Terminal detection unit wireless communication unit; 10. Terminal detection unit memory. DETAILED DESCRIPTION

[0039] In order to more clearly illustrate the overall concept of the present application, a detailed description is given below in an illustrative manner in conjunction with the accompanying drawings.

[0040] In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present application is not limited by the specific embodiments disclosed below. It should be noted that the embodiments of the present application and the features in each embodiment may be combined with each other without conflict.

[0041] In the present application, unless otherwise clearly specified and limited, a first feature "above" or "below" a second feature may be that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in an appropriate manner in any one or more embodiments or examples.

[0042] Example 1

[0043] like Figure 1-Figure 7 As shown, a multi-dimensional low-power consumption environmental gas detection method for a park includes:

[0044] Based on the remote platform, the operating status of the associated equipment in the warehouse and the environmental parameters inside and outside the warehouse are obtained to generate policy instructions, and the policy instructions are verified and analyzed by the central control cabinet to generate read instructions;

[0045] The read instruction is verified and parsed by an end detection unit, and the end detection unit executes uploading detection data according to the parsed read instruction;

[0046] The central control cabinet verifies the detection data. If the detection data is correct, the terminal detection unit goes into sleep mode. If the detection data is wrong, the central control cabinet resends the read instruction until the detection data uploaded by the terminal detection unit is verified to be correct.

[0047] Specifically, the remote platform generates policy instructions:

[0048] Obtaining equipment status and environmental parameters: The remote platform accesses the control interface of the park warehouse through a network connection to obtain the operating status of related equipment in the warehouse (such as whether ventilation fans and exhaust fans are turned on) and environmental parameters inside and outside the warehouse (such as oxygen concentration, carbon dioxide concentration, PM2.5 index, etc.).

[0049] Generate strategy instructions: Based on the acquired data, the remote platform generates control strategy instructions. These instructions may include data collection requests, device control commands, etc.

[0050] Encapsulate instructions: Encapsulate the generated policy instructions into data packets and send them to the central control cabinet via networks such as 4G, 5G or Ethernet.

[0051] Verification and analysis of the central control cabinet:

[0052] Receiving data packets: The central control cabinet receives data packets sent by the remote platform.

[0053] Verify data packets: The processor in the central control cabinet begins to disassemble the data packets and verify them to ensure the integrity and correctness of the data packets.

[0054] Parsing instructions: After the data packet passes the verification, the processor parses the instructions in the data packet and generates specific read instructions.

[0055] Sending reading instructions: The central control cabinet sends the parsed reading instructions to the designated end detection unit through a wireless communication unit (such as Lora).

[0056] Verification and analysis of the end detection unit:

[0057] Receiving read instructions: The end detection unit receives the read instructions issued by the central control cabinet.

[0058] Verify read instructions: The end detection unit verifies the read instructions to ensure the integrity and correctness of the instructions.

[0059] Parsing instructions: After verification, the terminal detection unit parses and reads the instructions to understand the specific requirements of the instructions.

[0060] Execute and upload detection data: According to the parsed reading instructions, the terminal detection unit collects environmental data (such as oxygen concentration, carbon dioxide concentration, etc.) and uploads the collected data to the central control cabinet.

[0061] Central control cabinet verification test data:

[0062] Receiving test data: The central control cabinet receives the test data uploaded by the terminal detection unit.

[0063] Verify test data: The central control cabinet verifies the uploaded test data to ensure the integrity and correctness of the data.

[0064] Data is correct: If the detection data is correct, the central control cabinet sends a command to put the terminal detection unit into sleep mode to save power.

[0065] Data error: If the detection data is wrong, the central control cabinet resends the reading instruction, requiring the terminal detection unit to re-collect the data and upload it until the detection data is verified to be correct.

[0066] For example, suppose there is a warehouse in a certain park, and it is necessary to monitor the environmental parameters such as oxygen, carbon dioxide, phosphine, PM2.5 and PM10 inside and outside the warehouse in real time. The following is the specific implementation process of this technical solution:

[0067] The remote platform obtains the operating status and environmental parameters of the warehouse's associated equipment:

[0068] Administrator operation: The park administrator enters the control interface of a specific warehouse through the web interface of the remote platform.

[0069] Get status: When the administrator clicks the "Get status" button, the remote platform sends a request to the central control cabinet through the network (such as 4G, 5G or Ethernet) to obtain the operating status of related equipment in the warehouse (such as whether ventilation fans, exhaust fans, etc. are turned on) and environmental parameters inside and outside the warehouse (such as oxygen concentration, carbon dioxide concentration, PM2.5 index, etc.).

[0070] Generate policy instructions:

[0071] Data analysis: The remote platform performs analysis based on the acquired equipment status and environmental parameters. For example, it detects that the carbon dioxide concentration in the warehouse is high, while the air quality outside is good.

[0072] Generate policy: The remote platform generates a policy instruction, such as "turn on the ventilation fan to reduce the carbon dioxide concentration."

[0073] Encapsulate instructions: Encapsulate the generated policy instructions into data packets and send them to the central control cabinet through the network.

[0074] Verification and analysis of the central control cabinet:

[0075] Receiving data packets: The central control cabinet receives data packets sent by the remote platform.

[0076] Disassembly verification: The processor of the central control cabinet begins to disassemble the data packet and verify the integrity and correctness of the data packet according to the preset free protocol.

[0077] Parsing instructions: After the data packet is verified to be correct, the processor parses the data packet and generates specific read instructions, such as "turn on the ventilation fan."

[0078] Verification and analysis of the end detection unit:

[0079] Receiving read instructions: The end detection unit receives the read instructions issued by the central control cabinet.

[0080] Verification and analysis: The end detection unit verifies and analyzes the read instructions to confirm the integrity and correctness of the instructions.

[0081] Execute instructions: The terminal detection unit performs corresponding operations according to the parsed read instructions, such as turning on the ventilation fan and collecting current environmental data (such as carbon dioxide concentration).

[0082] Upload test data:

[0083] Data collection: The terminal detection unit collects current environmental data, such as carbon dioxide concentration.

[0084] Data upload: The terminal detection unit uploads the collected data to the central control cabinet through a wireless communication unit (such as Lora).

[0085] Central control cabinet verification test data:

[0086] Receiving data: The central control cabinet receives the detection data uploaded by the terminal detection unit.

[0087] Data verification: The central control cabinet verifies the uploaded test data to ensure the integrity and correctness of the data.

[0088] Data processing:

[0089] Data is correct: If the detection data is correct, the central control cabinet notifies the terminal detection unit to enter sleep mode to save power.

[0090] Data error: If the detection data is wrong, the central control cabinet resends the reading instruction, and the end detection unit performs data collection and upload again until the data verification is correct.

[0091] Furthermore, the data verification and error correction mechanism can be enhanced:

[0092] Multi-level verification: During the sending and receiving of data packets, multi-level verification mechanisms are added, such as CRC verification, MD5 verification, etc., to ensure the integrity and accuracy of the data.

[0093] Automatic error correction: Automatic error correction algorithms, such as forward error correction (FEC), are introduced to automatically correct errors during data transmission and reduce the number of retransmissions.

[0094] Furthermore, the data transmission protocol can be optimized:

[0095] Multi-protocol support: Supports multiple wireless communication protocols, such as LoRa, Wi-Fi, 4G / 5G, etc., to improve the adaptability and reliability of the system.

[0096] Protocol optimization: Optimize communication protocols, reduce data packet size and transmission time, and improve transmission efficiency.

[0097] Furthermore, data processing capabilities can be enhanced:

[0098] Edge computing: Integrate edge computing functions in the terminal detection unit to perform preliminary processing and analysis on the collected data, reduce the amount of data transmission, and speed up the response.

[0099] Data compression: Use data compression technology to reduce bandwidth requirements for data transmission and improve transmission efficiency.

[0100] Furthermore, the intelligence level of the system can be improved:

[0101] Adaptive strategy generation: Use machine learning algorithms to automatically generate and adjust control strategies based on historical and real-time data to achieve intelligent management.

[0102] Predictive maintenance: By analyzing equipment operation data, potential failures can be predicted, and maintenance can be performed in advance to reduce downtime.

[0103] Furthermore, system security and privacy protection can be enhanced:

[0104] Data encryption: Encrypt the transmitted data to ensure the security of the data during transmission and prevent the data from being intercepted or tampered with.

[0105] Identity authentication: Add an identity authentication mechanism to the device to ensure that only authorized devices can access the system, improving system security.

[0106] Furthermore, remote configuration and debugging functions can be added:

[0107] Remote configuration: allows users to remotely configure the parameters of the terminal detection unit, such as detection frequency, alarm threshold, etc. through the central control cabinet.

[0108] Remote debugging: Provides remote debugging tools to facilitate technicians to troubleshoot without having to go to the site.

[0109] Furthermore, the user interaction experience can be enhanced:

[0110] Local display: Add an LCD display screen to the end detection unit to display the currently collected data for easy on-site viewing.

[0111] Alarm notification: When an abnormal situation is detected, an alarm notification is sent to relevant personnel via SMS, email, etc.

[0112] Furthermore, multi-sensor fusion is also possible:

[0113] Integration of multiple sensors: Integrate multiple types of sensors, such as temperature, humidity, light, etc., into the same device to reduce the number of devices and simplify the installation and maintenance process.

[0114] Multi-parameter comprehensive analysis: Comprehensive analysis of multiple environmental parameters to provide more comprehensive environmental monitoring data.

[0115] Furthermore, the reliability and stability of the equipment can be enhanced:

[0116] Enhanced protection performance: Improve the waterproof and dustproof level of the equipment so that it can work normally in various harsh environments.

[0117] Optimize power management: Use more efficient power management technology to extend equipment working time and reduce maintenance frequency.

[0118] Furthermore, data can be stored and backed up:

[0119] Local storage: Add local storage function in the terminal detection unit and central control cabinet to ensure that data is not lost when the network is interrupted.

[0120] Data backup: Regularly back up data to the cloud or external storage device to ensure data security and recoverability.

[0121] According to an embodiment of the present application, the strategy instructions generated by acquiring the operating status of the associated equipment of the warehouse and the environmental parameters inside and outside the warehouse based on the remote platform are verified and parsed by the central control cabinet to generate the read instructions, specifically:

[0122] The remote platform obtains the operating status of the associated equipment of the warehouse and the environmental parameters inside and outside the warehouse. The monitoring software of the remote platform generates an associated strategy according to the equipment status and the read data acquisition model, encapsulates the associated strategy into the strategy instruction through the protocol, and sends the strategy instruction to the central control cabinet;

[0123] The central control cabinet verifies the strategy instruction, determines the integrity and correctness of the strategy instruction, and after determining that the strategy instruction is correct, parses the strategy instruction into the read instruction.

[0124] Specifically, the remote platform obtains the operating status of the warehouse's associated equipment and the environmental parameters inside and outside the warehouse.

[0125] Obtaining equipment status: The remote platform obtains the operating status of related equipment in the warehouse from the central control cabinet through a network connection, such as the switch status of ventilation fans, exhaust fans and other equipment.

[0126] Obtaining environmental parameters: The remote platform obtains environmental parameters inside and outside the warehouse from the central control cabinet, such as oxygen concentration, carbon dioxide concentration, phosphine concentration, PM2.5, PM10, etc.

[0127] Remote platform generates association strategy

[0128] Supervision software: The supervision software on the remote platform generates association strategies based on the acquired device status and environmental parameters.

[0129] Generate strategy: The monitoring software generates specific control strategies according to the preset equipment status and the data acquisition model. For example, if the carbon dioxide concentration in the warehouse is detected to exceed the preset value, the generated strategy may be "turn on the ventilation fan to reduce the carbon dioxide concentration."

[0130] Encapsulation policy directives

[0131] Protocol encapsulation: The generated association policies are encapsulated into policy instructions through specific protocols (such as free protocol, MQTT, etc.).

[0132] Send instructions: The encapsulated policy instructions are sent to the central control cabinet through the network (such as 4G, 5G or Ethernet).

[0133] The central control cabinet verifies the strategic instructions

[0134] Receiving instructions: The central control cabinet receives the policy instructions sent by the remote platform.

[0135] Verify instructions: The processor of the central control cabinet begins to disassemble and verify the received strategy instructions to ensure the integrity and correctness of the instructions.

[0136] Integrity check: Check whether the data packet is complete and not missing.

[0137] Correctness check: Check whether the information in the data packet is as expected and has no errors.

[0138] Parsing policy directives

[0139] Correct judgment: If the verification result shows that the strategy instruction is complete and correct, the central control cabinet proceeds to the next step.

[0140] Parsing instructions: The central control cabinet parses the strategic instructions into specific reading instructions. The parsing process includes converting the abstract information in the strategic instructions into specific commands that the terminal detection unit can understand and execute.

[0141] Generate read instruction

[0142] Generate read instructions: The parsed instructions are converted into specific read instructions, such as "read the oxygen concentration in the warehouse."

[0143] Sending reading instructions: The central control cabinet sends the reading instructions to the specified end detection unit.

[0144] Specific examples

[0145] Assume that the carbon dioxide concentration in a warehouse in a certain park exceeds the preset safety value, while the outdoor air quality is good. The following are the specific steps:

[0146] The remote platform obtains status and parameters:

[0147] The remote platform obtains the switch status of the ventilation fan in the warehouse from the central control cabinet (currently off).

[0148] The remote platform obtains the environmental parameters inside and outside the warehouse from the terminal detection unit (the carbon dioxide concentration in the warehouse is high and the outdoor air quality is good).

[0149] Generate an association policy:

[0150] The remote platform's monitoring software generates a strategy based on the acquired data: "Turn on the ventilation fan to reduce carbon dioxide concentration."

[0151] Encapsulation policy directives:

[0152] The supervisory software encapsulates the generated strategies into strategy instructions through free protocols.

[0153] The encapsulated policy instructions are sent to the central control cabinet via the 4G network.

[0154] Central control cabinet verification instructions:

[0155] After the central control cabinet receives the strategy instruction, the processor begins to disassemble and verify the instruction.

[0156] The verification result shows that the instruction is complete and correct.

[0157] Parsing policy directives:

[0158] The central control cabinet interprets the strategic instruction into a specific read instruction: "Turn on the ventilation fan".

[0159] Generate read instructions:

[0160] The central control cabinet sends the reading instructions to the terminal detection unit responsible for controlling the ventilation equipment.

[0161] After receiving the instruction, the terminal detection unit controls the ventilation fan to turn on.

[0162] According to an embodiment of the present application, the end detection unit verifies and parses the read instruction, and the end detection unit performs uploading detection data according to the parsed read instruction, specifically:

[0163] The terminal detection unit verifies the read instruction, determines the integrity and correctness of the read instruction through the protocol, and parses the read instruction after determining that it is correct. According to the parsed read instruction, the port state of the IO input and output unit 7 of the terminal detection unit is changed to control the start and stop of the terminal device, and obtain corresponding data to form the detection data for uploading.

[0164] Specifically, the end detection unit receives a read instruction

[0165] Receiving instructions: The end detection unit receives the reading instructions issued by the central control cabinet through a wireless communication unit (such as LoRa).

[0166] The end detection unit verifies the read instruction

[0167] Verify instructions: The processor of the end detection unit starts to verify the read instructions to ensure the integrity and correctness of the instructions.

[0168] Integrity check: Check whether the data packet is complete and not missing.

[0169] Correctness check: Check whether the information in the data packet is as expected and has no errors.

[0170] Protocol verification: Verify whether the format and content of the data packet are correct according to the preset communication protocol (such as free protocol, LoRaWAN, etc.).

[0171] Parsing read instructions

[0172] Correct judgment: If the verification result shows that the read instruction is complete and correct, the end detection unit proceeds to the next step.

[0173] Parsing instructions: The end detection unit parses the read instructions into specific control instructions. The parsing process includes converting the abstract information in the read instructions into specific commands that the end detection unit can understand and execute.

[0174] Execute the read instruction

[0175] Changing the port status of the IO input-output unit 7: According to the parsed read instruction, the terminal detection unit changes the port status of its IO input-output unit 7 to control the start and stop of the terminal device.

[0176] Control device: For example, if the read instruction requires "turn on the ventilation fan", the terminal detection unit will control the start of the ventilation fan.

[0177] Acquiring data: While controlling the equipment, the terminal detection unit collects environmental parameters such as oxygen concentration, carbon dioxide concentration, phosphine concentration, PM2.5, PM10, etc. through built-in sensors.

[0178] Generate test data and upload

[0179] Forming detection data: The terminal detection unit integrates the collected environmental parameter data into detection data.

[0180] Upload detection data: Through a wireless communication unit (such as LoRa), the terminal detection unit uploads the detection data to the central control cabinet.

[0181] Specific examples

[0182] Assume that the carbon dioxide concentration in a warehouse in a certain park exceeds the preset safety value. The central control cabinet issues a read instruction, requiring the terminal detection unit to turn on the ventilation fan and upload the current environmental parameters. The following are the specific steps:

[0183] The end detection unit receives the read command:

[0184] The terminal detection unit receives the reading instruction sent by the central control cabinet through the LoRa gateway.

[0185] Verify the read command:

[0186] The processor of the end detection unit starts to verify the read instruction.

[0187] Check the integrity of the data packet to ensure that nothing is missing.

[0188] Check the correctness of the data packet to ensure that the content is as expected.

[0189] Verify that the format and content of the data packet are correct according to the LoRaWAN protocol.

[0190] Parsing read instructions:

[0191] If the verification result shows that the read instruction is complete and correct, the end detection unit continues to parse.

[0192] Parse and read instructions to extract specific control instructions, such as "turn on the ventilation fan and upload environmental parameters."

[0193] Execute the read command:

[0194] The terminal detection unit changes the port state of its IO input and output unit 7 according to the parsed instruction and controls the ventilation fan to start.

[0195] Environmental parameters such as oxygen concentration, carbon dioxide concentration, phosphine concentration, PM2.5, PM10, etc. are collected through built-in sensors.

[0196] Generate test data and upload:

[0197] The terminal detection unit integrates the collected environmental parameter data into detection data.

[0198] Through the LoRa gateway, the terminal detection unit uploads the detection data to the central control cabinet.

[0199] According to one embodiment of the present application, the end detection unit adopts a timed idle mode.

[0200] Specifically, the working principle of timed idle mode

[0201] Idle mode:

[0202] Low power state: When the terminal detection unit has no tasks to perform, it will automatically enter a low-power idle mode. In this mode, most functional modules will be turned off, leaving only the necessary monitoring and wake-up functions.

[0203] Energy saving: By reducing unnecessary power consumption, the energy consumption of the device is significantly reduced and the battery life is extended, which is especially important in battery-powered scenarios.

[0204] Scheduled wake-up:

[0205] Timer: A timer is integrated inside the terminal detection unit, which automatically wakes up the device at preset time intervals (such as every 10 minutes, every hour, etc.).

[0206] Wake-up mechanism: After the timer expires, the terminal detection unit will wake up from idle mode and enter normal working state, ready to perform tasks or collect data.

[0207] Task Execution:

[0208] Data collection: After waking up, the terminal detection unit collects environmental parameters such as oxygen concentration, carbon dioxide concentration, phosphine concentration, PM2.5, PM10, etc. according to preset instructions or task lists.

[0209] Data upload: The collected data is uploaded to the central control cabinet through a wireless communication unit (such as LoRa, 4G / 5G, etc.).

[0210] To re-enter idle mode:

[0211] Task completion: After data collection and uploading are completed, the terminal detection unit will enter idle mode again and wait for the next scheduled wake-up cycle to arrive.

[0212] Condition monitoring: In some cases, the end-point detection unit may also monitor key parameters (such as battery level) to ensure that the equipment can work properly when needed.

[0213] Specific examples

[0214] Assume that the terminal detection unit in a warehouse in a certain park is configured to wake up every 10 minutes to collect and upload environmental parameters. The following is the specific workflow:

[0215] Initial state:

[0216] The end detection unit is in idle mode, most functional modules are turned off, and only the timer and wake-up functions are retained.

[0217] Scheduled wake-up:

[0218] The built-in timer automatically wakes up the terminal detection unit at preset time intervals (10 minutes).

[0219] The end detection unit is fully awakened from the low-power idle mode, and all functional modules resume normal working state.

[0220] Data collection:

[0221] The terminal detection unit activates the sensor to collect environmental parameters inside and outside the warehouse, such as oxygen concentration, carbon dioxide concentration, phosphine concentration, PM2.5, PM10, etc.

[0222] Data upload:

[0223] The collected data is uploaded to the central control cabinet through the LoRa gateway.

[0224] The central control cabinet verifies the received data. If the data is correct, the end detection unit will proceed to the next step; if the data is wrong, the central control cabinet will resend the reading instruction.

[0225] To re-enter idle mode:

[0226] After the data upload is completed, the terminal detection unit enters the low-power idle mode again and waits for the next 10-minute timed wake-up cycle.

[0227] In idle mode, the timer continues counting, preparing for the next wake-up.

[0228] According to one embodiment of the present application, the end detection unit determines to release the sleep state based on the read instruction issued by the central control cabinet.

[0229] Specifically, the dormant state of the terminal detection unit

[0230] Low power mode: When there is no task to be performed, the terminal detection unit will enter a low-power sleep state. In this state, most functional modules are turned off, and only the necessary wake-up functions are retained to save energy and extend battery life.

[0231] Timed wake-up: Although the terminal detection unit can be set up with a timed wake-up mechanism, in some cases it may need to be woken up immediately based on instructions from the central control cabinet.

[0232] The central control cabinet sends the read command

[0233] Generate read instructions: The central control cabinet generates specific read instructions based on the strategy instructions generated by the remote platform. These instructions may include collecting specific environmental parameters, controlling the start and stop of equipment, etc.

[0234] Send instructions: The central control cabinet sends the reading instructions to the terminal detection unit through a wireless communication unit (such as LoRa, 4G / 5G, etc.).

[0235] The end detection unit receives the read command

[0236] Receiving instructions: The end detection unit receives the reading instructions issued by the central control cabinet through the wireless communication unit.

[0237] Wake-up mechanism: Even if the terminal detection unit is in sleep mode, its wireless communication module still maintains a low-power listening state and can receive instructions from the central control cabinet.

[0238] End detection unit checks and parses read instructions

[0239] Verify instructions: The processor of the end detection unit starts to verify the read instructions to ensure the integrity and correctness of the instructions.

[0240] Integrity check: Check whether the data packet is complete and not missing.

[0241] Correctness check: Check whether the information in the data packet is as expected and has no errors.

[0242] Protocol verification: Verify whether the format and content of the data packet are correct according to the preset communication protocol (such as free protocol, LoRaWAN, etc.).

[0243] Parsing instructions: If the verification result shows that the read instruction is complete and correct, the end detection unit continues to parse. The parsing process includes converting the abstract information in the read instruction into specific control instructions.

[0244] Resume sleep mode

[0245] Wake-up: According to the parsed read instruction, the end detection unit wakes up from the sleep state and all functional modules resume normal working state.

[0246] Execute tasks: The end detection unit executes corresponding tasks according to the requirements of the read instructions, such as collecting environmental parameters, controlling the start and stop of equipment, etc.

[0247] Upload test data

[0248] Data collection: The terminal detection unit collects environmental parameters such as oxygen concentration, carbon dioxide concentration, phosphine concentration, PM2.5, PM10, etc. through built-in sensors.

[0249] Data upload: The collected data is uploaded to the central control cabinet through a wireless communication unit (such as LoRa, 4G / 5G, etc.).

[0250] Specific examples

[0251] Assume that the carbon dioxide concentration in a warehouse in a certain park exceeds the preset safety value. The central control cabinet issues a read instruction, requiring the terminal detection unit to collect the current environmental parameters and upload them. The following are the specific steps:

[0252] The end detection unit is in sleep mode:

[0253] When there is no task, the terminal detection unit enters a low-power sleep state, most functional modules are turned off, and only the low-power monitoring function of the wireless communication module is retained.

[0254] The central control cabinet sends a read command:

[0255] The central control cabinet generates specific reading instructions based on the strategy instructions generated by the remote platform: "Collect the current environmental parameters and upload them."

[0256] The central control cabinet sends the reading instructions to the terminal detection unit through the LoRa gateway.

[0257] The end detection unit receives the read command:

[0258] The terminal detection unit receives the reading instruction sent by the central control cabinet through the LoRa gateway.

[0259] The wireless communication module receives a command in a low-power listening state and triggers a wake-up mechanism.

[0260] Verify and parse read instructions:

[0261] The processor of the end detection unit starts to verify the read instruction.

[0262] Check the integrity of the data packet to ensure that nothing is missing.

[0263] Check the correctness of the data packet to ensure that the content is as expected.

[0264] Verify that the format and content of the data packet are correct according to the LoRaWAN protocol.

[0265] If the verification result shows that the read instruction is complete and correct, the end detection unit continues to parse and extract specific control instructions, such as "collect current environmental parameters and upload them."

[0266] To wake up from sleep mode:

[0267] The terminal detection unit wakes up from the sleep state, and all functional modules resume normal working state.

[0268] The end detection unit starts the sensor according to the parsed reading instructions and prepares to collect environmental parameters.

[0269] Data collection and upload:

[0270] The terminal detection unit collects environmental parameters such as oxygen concentration, carbon dioxide concentration, phosphine concentration, PM2.5, PM10, etc. through built-in sensors.

[0271] The collected data is uploaded to the central control cabinet through the LoRa gateway.

[0272] Example 2

[0273] like Figure 1-Figure 7 As shown, a multi-dimensional low-power consumption environmental gas detection system for a park includes:

[0274] The display module is used to display and output the environmental gas information inside and outside the warehouse through the computer web terminal, mobile application or display screen.

[0275] Specifically, computer Web terminal: users can access the Web page provided by the system through the browser to view the various parameters of the environmental gases inside and outside the warehouse in real time, such as the concentration values ​​of oxygen, carbon dioxide, phosphine, PM2.5, PM10, etc., as well as other relevant environmental indicators such as temperature, humidity, etc.

[0276] Mobile App: Mobile App allows users to view the ambient gas information inside and outside the warehouse anytime and anywhere using smartphones or other mobile devices. This means that managers can monitor changes in environmental conditions through mobile devices anywhere and respond in a timely manner.

[0277] Display screen: Display screen is a visual display device that can be installed in a prominent position inside or outside the warehouse so that field staff and other relevant personnel can quickly understand the current environmental status. Display screens can usually be configured to scroll key data or issue alarms when abnormalities occur.

[0278] The existence of the display module greatly improves the availability and convenience of the environmental monitoring system, making it more convenient for both remote managers and on-site managers.

[0279] For example, the display module is mainly used to display and output the environmental gas information inside and outside the warehouse through a computer web terminal, mobile application (App) or display screen. Specifically, it can be a web page interface, a specially developed application or a display screen installed inside the park.

[0280] For example, on the computer web terminal, the administrator can log in to the website of the park environment monitoring system to view information such as the concentration of gases such as oxygen, carbon dioxide, nitrogen, and phosphine inside and outside the warehouse, as well as the concentration of PM2.5 and PM10 particles and noise levels. Charts may also be displayed on the page to graphically present data trends and changes.

[0281] For mobile applications, warehouse managers or technicians can download and install an application designed specifically for campus environmental monitoring on their smartphones or tablets. Through this application, they can check the environmental status of the warehouse anytime and anywhere and receive early warning notifications, such as when an environmental parameter exceeds the predetermined safety range.

[0282] In addition, the display screen may be a large-screen display installed at the entrance of the park or other conspicuous locations. The screen will update the environmental gas data inside and outside the warehouse in real time, so that all personnel entering and leaving the park can understand the current environmental conditions at a glance.

[0283] Regardless of the display method, the purpose is to enable managers and other relevant personnel to quickly and easily obtain the latest environmental monitoring data so as to make timely decisions or take necessary measures.

[0284] Furthermore, the user experience can be enhanced: a more intuitive graphical interface can be developed, and visual elements such as charts and animations can be introduced to visualize environmental data, making it easier for users to quickly understand environmental conditions.

[0285] Furthermore, an alarm function can be integrated: when environmental parameters exceed the safe range, the display module can trigger an alarm to alert managers through pop-up windows, sound prompts or other means.

[0286] Furthermore, data analysis tools can be introduced: adding data analysis tools can help users deeply explore the trends and patterns behind environmental data and assist in decision-making.

[0287] Furthermore, it can also be optimized for mobile devices: considering the usage scenarios of mobile devices, optimize the responsiveness and adaptability of the application to ensure good display on screens of different sizes.

[0288] Furthermore, customized reports can be designed: customized reporting functions are provided, allowing users to select data from a specific time period to generate reports, facilitating comparative analysis of historical data.

[0289] Furthermore, third-party integration can be added: integration with third-party applications or services, such as weather forecast API, so as to provide weather change information while displaying environmental data to help predict environmental changes.

[0290] Furthermore, multi-language support can be added: adding multi-language support enables the system to serve user groups of different languages.

[0291] Furthermore, permission management can be introduced: establish a complete user permission management system to ensure that only authorized users can access sensitive information or perform key operations.

[0292] Furthermore, data export and import can be introduced: providing data export function, allowing users to export environmental data to Excel, PDF and other formats, while supporting data import from external sources to facilitate data migration or backup.

[0293] Furthermore, training and help documents can be introduced: write detailed user manuals and tutorials to help users better understand and use the various functions of the display module.

[0294] The strategy module is responsible for controlling strategy formulation and execution, as well as predicting future environmental change trends by analyzing historical data.

[0295] Specifically, control strategy formulation and implementation:

[0296] The strategy module will formulate corresponding control strategies based on the collected environmental data, such as gas concentrations inside and outside the warehouse (oxygen, carbon dioxide, phosphine, nitrogen, etc.), dust concentration and other information, as well as the operating status of the equipment.

[0297] These strategies may include adjusting the working mode of the ventilation system, starting air purification equipment, changing the temperature settings inside the warehouse, etc., to ensure that the internal environment of the warehouse meets the preset safety standards.

[0298] Once the control strategy is formulated, the strategy module will send these strategy instructions to the central control cabinet through the network, and the central control cabinet will then convey these instructions to the terminal detection unit and finally execute the corresponding control actions.

[0299] Historical data analysis and future trend forecast:

[0300] The strategy module not only focuses on current data, but also conducts in-depth analysis of historical data to identify the changing patterns of environmental parameters.

[0301] Based on the results of historical data analysis, the strategy module can predict future environmental change trends. For example, if it is found that the carbon dioxide concentration inside and outside the warehouse continues to rise within a certain period of time, the system may adjust the ventilation frequency or turn on the purification equipment in advance to prevent exceeding the standard.

[0302] In addition, through machine learning algorithms, the strategy module can continuously optimize the prediction model, making its predictions of future environmental change trends more accurate.

[0303] For example, suppose that in a smart storage park, the environmental gas parameters (such as oxygen, carbon dioxide, phosphine, PM2.5, etc.) inside and outside the warehouse are monitored in real time. When the carbon dioxide concentration in a warehouse is detected to suddenly increase and exceed the predetermined safety threshold, the policy module on the remote platform will take the following actions:

[0304] Strategy Generation:

[0305] The strategy module will analyze the current environmental parameters inside and outside the warehouse based on preset rules and algorithms, and determine whether it is an abnormal situation based on historical data.

[0306] If it is confirmed to be abnormal, the policy module will generate a policy instruction, for example: turn on the ventilation system in the warehouse to reduce the carbon dioxide concentration.

[0307] Strategy Execution:

[0308] The generated strategy instructions will be packaged and sent to the central control cabinet corresponding to the warehouse.

[0309] After receiving the command, the central control cabinet parses it and sends it to the terminal detection unit.

[0310] The terminal detection unit activates the ventilation equipment according to the instructions and adjusts the ventilation rate until the carbon dioxide concentration returns to the normal range.

[0311] Trend prediction:

[0312] The strategy module will also use historical data to analyze the changing patterns of environmental parameters inside and outside the warehouse through machine learning algorithms.

[0313] Based on historical data, predict possible future environmental change trends, such as seasonal or periodic fluctuations in gas concentrations.

[0314] The prediction results can be used to adjust the warehouse environment control strategy in advance to avoid potential problems.

[0315] Furthermore, the prediction algorithm can be enhanced:

[0316] Introduce advanced machine learning algorithms, such as deep learning and neural networks, to improve prediction accuracy.

[0317] Implement a dynamic forecast adjustment mechanism to continuously update the forecast model based on new data.

[0318] Furthermore, the control strategy can be refined:

[0319] Add more control parameters, such as temperature, humidity, etc., to make the strategy more comprehensive.

[0320] Formulate differentiated control strategies for different environmental conditions to improve the adaptability of the strategies.

[0321] Furthermore, emergency response mechanisms can be integrated:

[0322] When it is detected that environmental parameters exceed the preset threshold, emergency responses are automatically triggered, such as closing vents, turning on purification devices, etc.

[0323] It works in conjunction with fire protection, security and other systems to ensure the safety of life and property in emergency situations.

[0324] Furthermore, users can also customize the strategy:

[0325] Allow users to set specific control strategies according to their own needs to increase the flexibility of the system.

[0326] Provides a friendly user interface to simplify the policy configuration process.

[0327] Furthermore, multi-dimensional data analysis can be performed:

[0328] Combine meteorological data, seasonal changes and other factors to conduct multi-dimensional analysis to improve the accuracy of the forecast.

[0329] Analyze unusual patterns in historical data to identify potential problems before they occur.

[0330] Furthermore, real-time data stream processing is also possible:

[0331] Use big data processing technologies (such as Apache Kafka, Storm, etc.) to achieve efficient processing of real-time data streams.

[0332] Realize real-time monitoring and early warning, and adjust control strategies in time.

[0333] Furthermore, historical data can be backtracked and simulated:

[0334] Establish a historical database to support data backtracking and simulation testing to verify the effectiveness of the strategy.

[0335] Evaluate the effectiveness of the strategy by simulating data performance under different environmental conditions.

[0336] Furthermore, you can automate testing and verification:

[0337] Develop an automated testing framework to continuously verify the performance and reliability of the strategy module.

[0338] Perform stress testing regularly to ensure that the system can still operate stably under extreme conditions.

[0339] Support module, used for power-on self-test, checking device status, scheduled query, scheduled reporting, local settings, local warning, local storage and control output.

[0340] Specifically, power-on self-check: When the system is powered on, it automatically performs a comprehensive self-check to ensure that all hardware devices are working properly, and any faults or abnormalities will be recorded.

[0341] View device status: Provides functions to monitor the working status of each device in the system in real time, including but not limited to whether the sensor is online, whether the control device is in working mode, etc.

[0342] Scheduled query: Regularly check environmental parameters and equipment status at predetermined time intervals to ensure the timeliness and accuracy of data.

[0343] Regular reporting: Report environmental data and equipment status information to the central control cabinet or remote platform at pre-set time intervals.

[0344] Local settings: Allow users to set device parameters locally, such as alarm thresholds, sampling frequencies, etc., without having to go through a remote platform.

[0345] Local warning: When it is detected that the environmental parameters exceed the preset safety range, a warning will be issued immediately locally to notify relevant personnel to take action.

[0346] Local storage: Store environmental data and event records locally for emergency use, saving important information even in the event of a network outage.

[0347] Control output: Control related equipment according to preset rules or received instructions, such as starting fans, opening windows, etc.

[0348] The central control cabinet is the core part of the support layer, and its functions and structure are as follows:

[0349] Touch screen 2: It undertakes the human-computer interaction function, completes local control through the control cabinet, and can forward data to other control modules. Touch screen 2 can be an industrial-grade capacitive or resistive touch configuration screen, or an industrial-grade Android touch screen.

[0350] Central control cabinet memory 5: mainly used to store control programs, including storage media such as ROM, RAM, disk, U disk, memory card or CD.

[0351] Central control cabinet processor 3: connected to the central control cabinet memory 5, the central control cabinet power supply unit 1 and the central control cabinet wireless communication unit 4, executes the control program in the central control cabinet memory 5, processes the received data packets, and sends instructions to the terminal detection unit. The central control cabinet processor 3 can be a general industrial-grade processor, such as CPU, NP, DSP, ASIC, FPGA or other logic devices.

[0352] Central control cabinet power supply unit 1: provides stable and reliable working power for central control cabinet processor 3. The method adopted is to first introduce AC 220V power supply, and then provide stable DC power supply through industrial-grade DC12V2A switching power supply and DC-DC isolation module.

[0353] Central control cabinet wireless communication unit 4: responsible for data transmission and reception between the central control cabinet and the terminal detection unit, preferably a power-type Lora gateway module.

[0354] Through these components, the central control cabinet realizes functions such as data reception, analysis, and command issuance, and ensures the stable operation of the system.

[0355] For example, the power-on self-test:

[0356] When the system is powered on, the support module will perform a self-check on all hardware components to ensure that all parts such as the central control cabinet processor 3, the central control cabinet memory 5, the central control cabinet wireless communication unit 4, etc. are in normal working condition.

[0357] During the self-check process, problems such as damage to the central control cabinet memory 5, incorrect connection of the central control cabinet wireless communication unit 4, etc. may be detected, and corresponding prompts will be given through the screen or LED indicator light.

[0358] View device status:

[0359] The support module can display the current working status of the device through the touch screen 2, including but not limited to the load of the central control cabinet processor 3, memory usage, battery power, etc.

[0360] The user can view this information through the touch screen 2 interface to determine whether the device is operating normally.

[0361] Scheduled query:

[0362] The support module can actively query environmental parameters at predetermined time intervals, such as checking the concentrations of oxygen, carbon dioxide, phosphine, PM2.5, PM10 and other gases inside and outside the warehouse every hour.

[0363] The query results will be recorded for subsequent analysis.

[0364] Regular reporting:

[0365] The support module can regularly upload the collected data to the central control cabinet or remote platform, for example, reporting environmental parameters every half an hour or one hour.

[0366] The reported data can be the current environmental conditions, or the average value or the highest or lowest value during the period.

[0367] Local settings:

[0368] Users can make local settings through the interface provided by the support module, such as setting query frequency, data reporting time, alarm threshold, etc.

[0369] After the settings are completed, these parameters will be saved in the central control cabinet memory 5 and will be automatically loaded at the next restart.

[0370] Local warning:

[0371] The support module has a local early warning function, and will immediately issue an alarm when it detects that environmental parameters exceed the preset safety threshold.

[0372] For example, when it is detected that the oxygen concentration is lower than a certain level, the system can trigger a buzzer alarm and display a warning message on the touch screen 2.

[0373] Local Storage:

[0374] The support module can store the environmental data for a period of time in the local central control cabinet memory 5 to prevent the data from being lost in case of network interruption or failure.

[0375] The stored data can be uploaded to the central control box or remote platform after the network is restored.

[0376] Control output:

[0377] The support module can receive control instructions from the central control box or the remote platform and convert these instructions into actual control actions.

[0378] For example, when receiving an instruction to open the vent, the support module will control the corresponding motor or relay through the IO input and output unit 7 to perform the operation.

[0379] For the central control cabinet, its specific functions and structure are as follows:

[0380] Touch screen 2: used for human-computer interaction, it can be an industrial-grade capacitive touch configuration screen, a resistive touch configuration screen or an Android screen, providing local control functions and forwarding data to other control modules.

[0381] Central control cabinet memory 5: stores control programs and other important data, which can be ROM, RAM or external storage devices such as USB flash drives, memory cards, etc.

[0382] Central control cabinet processor 3: executes the program code in the central control cabinet memory 5, processes the data packets received from the remote platform, and parses them into corresponding instructions. The central control cabinet processor 3 can be a general industrial-grade CPU, DSP, ASIC, FPGA, etc.

[0383] Central control cabinet power supply unit 1: provides stable power supply for central control cabinet processor 3, usually adopts 220V AC power conversion to DC12V, and further ensures the power quality through DC-DC isolation module.

[0384] Central control cabinet wireless communication unit 4: uses Lora gateway module to realize wireless communication with the terminal detection unit, responsible for sending and receiving data.

[0385] Furthermore, the self-check function can be enhanced:

[0386] It can increase the diagnostic capabilities of hardware failures, such as health status checks of important components such as memory and hard disks.

[0387] Increase the frequency of self-checking to ensure that the equipment is always in the best working condition.

[0388] Automatically fix identified minor issues, reducing manual intervention.

[0389] Furthermore, equipment status monitoring can also be introduced:

[0390] Implement more sophisticated equipment status monitoring, including but not limited to real-time monitoring of parameters such as temperature and voltage.

[0391] Introduce AI technology to learn equipment behavior patterns through historical data and predict potential failures in advance.

[0392] Furthermore, scheduled task management can also be introduced:

[0393] In addition to scheduled query and reporting, flexible configuration functions for scheduled tasks can be added to allow users to customize task cycles.

[0394] Design task scheduling algorithms to optimize resource allocation and ensure that high priority tasks are executed in a timely manner.

[0395] Furthermore, local configuration management can be introduced:

[0396] Provides a graphical interface to simplify the local configuration process, allowing non-professionals to easily configure the system.

[0397] Added configuration version control function to record every modification and facilitate rollback to the previous configuration version.

[0398] Furthermore, the early warning mechanism can be introduced for optimization:

[0399] Enhance the local early warning mechanism. In addition to sound and light alarms, administrators can also be notified via email, text messages, etc.

[0400] Establish an early warning level classification system to differentiate the degree of urgency and rationally allocate response resources.

[0401] Furthermore, the local storage function can be improved:

[0402] Improve data redundancy to ensure critical data is recorded even when remote communications are interrupted.

[0403] Encrypt and store sensitive information to protect data security.

[0404] Furthermore, you can also control the output function extension:

[0405] In addition to controlling the start and stop of the device, you can also adjust the device's working mode, such as adjusting the fan speed, light brightness, etc.

[0406] Add a feedback mechanism to the control output to confirm that the control command is executed.

[0407] Furthermore, remote maintenance support can be introduced:

[0408] Develop remote maintenance tools to enable technicians to diagnose and repair equipment without having to be on-site.

[0409] Establish a remote assistance channel so that when you encounter complex problems, you can invite experts to provide online guidance.

[0410] Furthermore, security protection upgrades can be performed:

[0411] Strengthen network security protection to prevent unauthorized access.

[0412] Perform regular security audits to ensure that systems comply with the latest security standards.

[0413] Physical module, used to detect environmental parameters.

[0414] Specifically, the physics module:

[0415] It mainly includes an IO input and output unit 7, an end detection unit memory 10, an end detection unit processor 8, an end detection unit power supply unit 6 and an end detection unit wireless communication unit 9.

[0416] IO input and output unit 7: used to connect to terminal devices in the warehouse (such as LED lights, buzzers, etc.). This unit can control the start and stop of these devices and obtain their current status.

[0417] End detection unit memory 10: used to store control programs, which can be in the form of ROM, RAM, disk, U disk, memory card or CD.

[0418] Terminal detection unit processor 8: responsible for executing the control program in the terminal detection unit memory 10, processing the data packets received from the central control cabinet, and sending the parsed instructions to the terminal device.

[0419] Terminal detection unit power supply unit 6: provides stable and reliable power supply for the terminal detection unit processor 8 and other components.

[0420] The wireless communication unit 9 of the terminal detection unit is used to communicate with the central control cabinet to complete the sending and receiving of data. Preferably, the wireless communication unit 9 of the terminal detection unit can select the Lora node module to realize long-distance and low-power data transmission.

[0421] The physical module coordinates the work of these components and is responsible for collecting environmental parameters such as oxygen, carbon dioxide, phosphine, PM2.5, PM10, etc. inside and outside the warehouse, and sends the data to the central control cabinet through the terminal detection unit wireless communication unit 9. At the same time, the physical module can also receive instructions from the central control cabinet and perform corresponding control actions. In this way, the physical module plays a vital role in the environmental monitoring and early warning integrated system, ensuring the accuracy of data collection and the timeliness of control actions.

[0422] For example, oxygen concentration sensors are used to monitor the oxygen content in the air inside and outside the warehouse. Such sensors are usually electrochemical and can provide accurate oxygen concentration values.

[0423] Carbon dioxide concentration sensor: used to detect the concentration of carbon dioxide gas. The most common is the infrared absorption principle of CO2 sensor, which can monitor the CO2 content in the air in real time and send the data to the central control cabinet.

[0424] Phosphine concentration sensor: specially designed to detect the presence and concentration of phosphine gas. This type of sensor is crucial to preventing the leakage of harmful gases.

[0425] Nitrogen concentration sensor: used to measure the concentration of nitrogen in the air to ensure that the nitrogen level is within a safe range.

[0426] PM2.5 and PM10 dust concentration sensors: Monitor the amount of particulate matter in the air, including fine particles (PM2.5) and inhalable particles (PM10), which is very important for assessing air quality.

[0427] Noise sensor: used to monitor the ambient noise level to ensure that the noise does not exceed the specified standard.

[0428] Furthermore, the detection accuracy can be enhanced: by using higher-precision sensors, the accuracy of environmental parameter detection can be improved. It is possible to consider using sensors with temperature compensation functions to reduce the impact of environmental changes on detection results.

[0429] Furthermore, additional detection items can be added: in addition to common detection items such as oxygen, carbon dioxide, phosphine, PM2.5, PM10, etc., detection of other harmful gases (such as hydrogen sulfide, formaldehyde, etc.), humidity, temperature, light intensity and other parameters can also be added.

[0430] Furthermore, intelligent identification and classification can be performed: AI technology can be used to intelligently analyze the collected data, identify abnormal patterns, such as gas leaks, pollution sources, etc., and classify them to help make more accurate risk assessments.

[0431] Furthermore, wireless coverage can be optimized: for the wireless communication unit 9 (such as LoRa) of the terminal detection unit, its coverage and signal strength can be optimized to ensure stable data transmission at any location in the park.

[0432] Furthermore, battery life and energy collection can be improved: for those terminal detection units that rely on batteries to work, low-energy sensors and circuits can be developed to extend their working life. In addition, renewable energy sources such as solar energy and wind energy can be explored as supplementary power sources to reduce the frequency of battery replacement.

[0433] Furthermore, equipment maintenance and self-diagnosis are also possible: a self-diagnosis function is added to the terminal detection unit, and when equipment failure is detected, it can be reported to the central control box in a timely manner to facilitate rapid repair or replacement.

[0434] Furthermore, the environmental adaptability can be enhanced: according to different working environments (such as high temperature, humidity, corrosive gas, etc.), the detection unit can be designed with protection to improve its durability and ability to adapt to harsh environments.

[0435] Furthermore, multi-functional integration is possible: multiple detection functions can be integrated into one unit to reduce the number of devices, simplify the installation and maintenance process, and improve space utilization.

[0436] Furthermore, a user-friendly interface can be provided: the end detection unit can be equipped with an LCD display or LED indicator light, etc., so that users can directly view the device status or simple settings on site.

[0437] Furthermore, data encryption and security can be achieved: encryption technology can be added during data transmission to protect the security of environmental data and prevent unauthorized access or tampering.

[0438] Terminal sensors are used to detect specific gases and particulate matter.

[0439] Specifically, the terminal sensor is the lowest-level data acquisition device in the entire environmental gas detection system, which is specially used to measure the specific gas composition and particle concentration in the environment inside and outside the warehouse. In this technical solution, the terminal sensor is mainly responsible for detecting the following parameters:

[0440] Oxygen (O2): Detects the concentration of oxygen in the air to ensure it remains within a safe range.

[0441] Carbon dioxide (CO2): Monitors carbon dioxide concentration, which can cause suffocation risk or affect human health.

[0442] Nitrogen (N2): Although nitrogen itself is not harmful, under certain circumstances (such as a nitrogen leak) it can cause oxygen concentrations to drop, creating a suffocation hazard.

[0443] Phosphine (PH3): Detects the presence of phosphine, a toxic gas that may be produced when storing grain or other organic materials.

[0444] PM2.5: Monitors particles with a diameter less than or equal to 2.5 microns, which are extremely harmful to human health.

[0445] PM10: Monitors particles with a diameter less than or equal to 10 microns, which can also have adverse effects on human health.

[0446] The terminal sensor transmits the collected data to the central control box through wireless communication (such as Lora). These sensors usually have high sensitivity and accuracy, and can respond to changes in gas composition or particle concentration in the environment in a short time. In addition, in order to ensure the reliability of data and the stability of the system, the design of the terminal sensor also needs to consider anti-interference ability and environmental adaptability.

[0447] Through continuous monitoring by terminal sensors, changes in the environment inside and outside the warehouse can be monitored in real time, potential safety hazards can be discovered in a timely manner, and accurate data support can be provided to park managers, so that necessary preventive measures or control measures can be taken to ensure the health and safety of the park environment.

[0448] For example, oxygen concentration detection:

[0449] Electrochemical sensors are used to determine oxygen concentration by detecting the amount of oxygen in the air. These sensors are often used for oxygen deficiency monitoring in warehouse environments.

[0450] Carbon dioxide concentration detection:

[0451] A non-dispersive infrared (NDIR) sensor that uses the infrared absorption principle to measure the concentration of carbon dioxide gas. This type of sensor is suitable for monitoring the CO2 level in the air inside and outside the warehouse.

[0452] Nitrogen concentration detection:

[0453] The nitrogen concentration can be calculated indirectly using a paramagnetic oxygen analyzer or a thermal conductivity sensor. Because nitrogen itself is not easy to detect directly, the nitrogen content is usually estimated by measuring other gas components.

[0454] Phosphine detection:

[0455] Specific gas sensors, such as electrochemical sensors or PIDs (photoionization detectors), are used to detect phosphine gas produced when storing grain or other materials to prevent it from exceeding the standard and causing harm.

[0456] PM2.5 and PM10 particle detection:

[0457] Optical scattering particle counters are used to detect particulate matter in the air with a diameter less than 2.5 microns and 10 microns (PM2.5 and PM10). These sensors determine the concentration of particulate matter by measuring the intensity of scattered light.

[0458] Noise detection:

[0459] Equipped with sound level meters or microphone sensors to monitor the ambient noise level. These sensors can capture audio signals and convert them into electrical signals to analyze the noise intensity.

[0460] Furthermore, the detection accuracy and sensitivity can be improved:

[0461] Adopt higher precision sensor technologies, such as optical sensors, chemical sensors, etc., to improve the accuracy and reliability of detection results.

[0462] Micro-electromechanical systems (MEMS) technology is introduced to manufacture sensors with smaller size and higher sensitivity.

[0463] Furthermore, data processing capabilities can be enhanced:

[0464] The data processing module is integrated inside the sensor to realize the preliminary processing of the original data, reduce the amount of data transmission and speed up the data processing.

[0465] Use edge computing technology to perform preliminary calculations near the sensor, reducing the data processing burden on the remote platform.

[0466] Furthermore, you can add more detection types:

[0467] Expand the detection range and increase the detection capability for more types of gases (such as volatile organic compounds VOCs) and particulate matter (such as PM1).

[0468] Optimize the sensor combination to distinguish and quantify the components of the mixed gas.

[0469] Furthermore, durability and environmental adaptability can be improved:

[0470] Improve sensor materials so that they can maintain stable performance even in extreme environments.

[0471] The waterproof and dustproof structure is designed to extend the service life of the sensor in outdoor or humid environments.

[0472] Furthermore, wireless communication functions can be integrated:

[0473] Directly integrate wireless communication modules such as Wi-Fi, Bluetooth, etc. into sensors to reduce dependence on external communication devices.

[0474] Use low-power wireless technologies (such as Zigbee and Bluetooth Low Energy) to extend the battery life of sensors.

[0475] Furthermore, remote calibration and maintenance can also be achieved:

[0476] Develop a remote calibration function that allows technicians to calibrate sensors over the Internet, reducing the number of on-site interventions.

[0477] Designed with a self-diagnosis function, the sensor can detect faults on its own and report them to the remote platform for timely maintenance.

[0478] Furthermore, security and protection can be enhanced:

[0479] Data encryption technology is introduced to ensure that the data transmitted by the sensor cannot be illegally stolen or tampered with.

[0480] Use physical protection measures to prevent sensors from mechanical damage or human vandalism.

[0481] Furthermore, the user interaction experience can be improved:

[0482] Integrate a simple user interface on the sensor device, such as an LED indicator or a small display, to facilitate on-site status viewing.

[0483] Develop a companion app that allows users to view sensor data in real time via smartphones.

[0484] The display module is connected to the policy module, the policy module is communicatively connected to the support module, the physical module and the terminal sensor, and the policy module is also connected to a remote platform.

[0485] Specifically, the presentation module is connected to the strategy module:

[0486] The display module is used to display the environmental gas information inside and outside the warehouse through the computer web terminal, mobile application (App) or display screen. The display module is connected to the strategy module, obtains the processed data from the strategy module, and displays it to the user in the form of charts, lists, etc., to help users intuitively understand the environmental conditions.

[0487] The strategy module is connected to the support module:

[0488] The strategy module is responsible for generating control strategies, including control models, control strategies, control monitoring, trend prediction, and data storage. The strategy module is connected to the support module, which provides functions such as equipment status check, timed query, timed reporting, local settings, local warnings, local storage, and control output. The strategy module adjusts the control strategy based on real-time data and performs corresponding control operations through the support module.

[0489] The strategy module is connected to the physical module:

[0490] The physical module refers to the terminal detection unit in the park, which is responsible for the detection of specific gases and particles. The strategy module is connected to the physical module and exchanges data with the terminal detection unit through wireless communication (such as Lora). The strategy module will send instructions to the physical module as needed, requiring it to collect data or control equipment, and receive data feedback from the physical module.

[0491] The policy module is connected to the terminal sensor:

[0492] The terminal sensor is part of the physical module, which is responsible for the detection of gases and particles such as oxygen, carbon dioxide, phosphine, PM2.5 and PM10 inside and outside the warehouse. The strategy module is connected to the terminal sensor through the physical module, receives the data collected by the terminal sensor, and generates corresponding control strategies based on these data.

[0493] The policy module is connected to the remote platform:

[0494] The remote platform is part of the strategy module, responsible for generating control strategies and sending strategy instructions to the central control cabinet through the network. The strategy module is connected to the remote platform, obtains control strategies from the remote platform, and uploads data collected by the physical module and terminal sensors to the remote platform for analysis and processing.

[0495] For example, the connection between the display module and the strategy module:

[0496] The display module includes the display and output of the gas information of the warehouse environment inside and outside through the computer web terminal, mobile application or display screen. The strategy module is responsible for generating control strategies and encapsulating these strategies in the form of instructions and sending them to the central control cabinet. The display module obtains the gas parameter information of the current warehouse environment inside and outside by calling the API interface provided by the strategy module, and displays it to the user in the form of charts, lists, etc. When the user queries or sets through the display module, the request will be sent to the strategy module, which parses the request and returns the corresponding result.

[0497] Connection between strategy module and support module:

[0498] The strategy module communicates with the support module through the network. The support module includes functions such as power-on self-test, device status check, timed query, timed reporting, local settings, local warning, local storage and control output. The strategy module can send instructions to the support module, requiring the support module to perform specific operations, such as changing device settings or starting the warning mechanism. The support module will report the device status information and execution results to the strategy module.

[0499] Connection between strategy module and physical module:

[0500] The strategy module communicates with the central control cabinet in the physical module through wireless communication. As a part of the physical module, the central control cabinet is responsible for parsing the strategy instructions received from the strategy module and disassembling the instructions and sending them to the terminal detection unit. At the same time, the central control cabinet also collects data from the terminal detection unit and feeds this data back to the strategy module through the central control cabinet wireless communication unit 4.

[0501] Connection between the policy module and the terminal sensor:

[0502] The strategy module communicates indirectly with the terminal sensor through the central control cabinet. The terminal sensor is responsible for collecting environmental parameters such as oxygen, carbon dioxide, phosphine, PM2.5 and PM10 inside and outside the warehouse. These data are transmitted to the central control cabinet via wireless communication, and then uploaded to the strategy module by the central control cabinet. The strategy module generates the corresponding control strategy based on the collected data and sends it to the physical module where the terminal sensor is located through the central control cabinet.

[0503] Connection between the policy module and the remote platform:

[0504] The policy module communicates with the remote platform through 4G, 5G or Ethernet networks. The remote platform is responsible for generating control policies and then sending them to the policy module through the network. The policy module receives and executes these policies and feeds back the execution results and collected data to the remote platform. The remote platform can view and manage the operating status of the entire system in real time through monitoring software.

[0505] Furthermore, the enhancements and extensions of the module can also be demonstrated:

[0506] Enhance user experience: Introduce richer graphical interfaces, such as dynamic charts and map integration, so that users can intuitively understand environmental conditions.

[0507] Multi-platform support: In addition to web and mobile terminals, you can also consider developing desktop clients or dedicated hardware devices such as smart displays or Internet of Things (IoT) devices to adapt to the usage habits of different users.

[0508] Furthermore, the strategy module can be deepened and expanded:

[0509] Advanced analysis and prediction: Introduce machine learning algorithms, such as deep learning and pattern recognition, to improve the accuracy of predictions of environmental change trends.

[0510] Dynamic strategy generation: Dynamically adjust control strategies based on real-time data to achieve intelligent control, such as adjusting ventilation strategies based on weather forecasts.

[0511] Multi-level decision support: Provide customized strategy recommendations for users at different levels, such as general users, warehouse managers, environmental experts, etc., and provide services that meet their respective needs.

[0512] Furthermore, it can also support the optimization and expansion of modules:

[0513] Equipment health management: Develop an equipment health management system to automatically monitor equipment status, predict equipment failures, and reduce maintenance costs.

[0514] Energy management: Optimize energy use by combining environmental parameters, such as adjusting air conditioning usage strategies according to temperature changes to achieve energy conservation and emission reduction.

[0515] Furthermore, physical modules can be upgraded and expanded:

[0516] Intelligent detection: Add self-learning function to enable the detection unit to automatically adjust the detection frequency and detection items based on historical data.

[0517] Distributed control: Integrate local control logic into physical modules to reduce the pressure on the central control cabinet and improve system response speed.

[0518] Furthermore, the terminal sensors can be enhanced and expanded:

[0519] Multifunctional integration: Develop multifunctional integrated sensors to reduce the number of sensors and simplify installation and maintenance processes.

[0520] Enhanced environmental adaptability: Optimize sensor design and improve durability for different environmental conditions (such as high temperature, high humidity, corrosive gases, etc.).

[0521] Furthermore, the remote platform can be integrated and expanded:

[0522] Cross-platform integration: Integrate with other third-party systems (such as ERP, SCM, etc.) to achieve data sharing and improve overall work efficiency.

[0523] Cloud service support: Migrate remote platforms to the cloud, provide elastic computing resources, support large-scale deployment, and reduce infrastructure costs.

[0524] Open API interface: Provide an open API interface to allow third-party developers to access, expand platform functions, and build an ecosystem.

[0525] The multi-dimensional low-power environmental gas detection system for a campus provided in this application also includes the following additional technical features: the strategy module includes a remote platform, which is responsible for generating control strategies, including but not limited to querying device status and obtaining data operations, and packaging these strategies in the form of instructions and sending them to the central control cabinet.

[0526] Specifically, the strategy generates

[0527] Enter the control interface: The operator of the remote platform logs in to enter the corresponding park warehouse control interface.

[0528] Obtaining equipment information: The platform automatically obtains the operating status of related equipment in the warehouse and the environmental parameters inside and outside the warehouse. The equipment status is obtained through the central control cabinet, and the environmental parameters are provided by the terminal detection unit.

[0529] Generate strategy: Based on the acquired data, the monitoring software on the remote platform generates corresponding control strategies according to the preset equipment status, data reading and other models.

[0530] Encapsulation instructions: The generated policies are converted into specific instructions and packaged and encapsulated through proprietary protocols or universal standard protocols.

[0531] Instructions issued

[0532] Select the network form: the instructions are sent to the central control cabinet via 4G, 5G network or Ethernet.

[0533] Issue policy instructions: The packaged instructions are sent to the central control cabinet, waiting for the next step of processing.

[0534] Control Flow

[0535] Receiving data packets: The central control cabinet receives data packets sent by the remote platform.

[0536] Disassembly and verification: The central control cabinet processor 3 starts to disassemble and verify the data packet to ensure that the data is complete and correct.

[0537] Parsing instructions: Data packets are parsed into specific control instructions.

[0538] Execution strategy: Instructions are sent to the terminal detection unit to perform corresponding operations, such as collecting data or adjusting device status.

[0539] Feedback Mechanism

[0540] Status feedback: After the end detection unit completes the relevant operations, it will feed back the status information to the central control cabinet.

[0541] Upload data: The central control cabinet uploads the collected data to the remote platform.

[0542] Circular verification: The remote platform verifies the data after receiving it. If the data is incorrect, the command issuance process is repeated until the data is correct.

[0543] According to one embodiment of the present application, the support module includes a central control cabinet, which is responsible for parsing the policy instructions issued by the remote platform, and disassembling them and sending them to the corresponding terminal detection units. It is also responsible for collecting data from the terminal detection units and feeding them back to the remote platform.

[0544] Specifically, the policy instructions are parsed

[0545] Receiving data packets: The central control cabinet receives data packets sent from the remote platform.

[0546] Disassembly and verification: The central control cabinet processor 3 starts to disassemble the data packet and verify the integrity and correctness of the data packet according to the pre-set free protocol.

[0547] Parsing instructions: After the data packet is verified to be correct, the central control cabinet processor 3 parses it into corresponding control instructions.

[0548] Issue policy instructions

[0549] Sending policy instructions: The parsed instructions are sent to the specified terminal detection unit.

[0550] Control terminal equipment: Control the start and stop of the controlled terminal equipment in the warehouse through the IO input and output unit 7, and obtain its current status.

[0551] Data collection and feedback

[0552] Collect data: The central control cabinet collects environmental parameter data inside and outside the warehouse from the terminal detection units, such as oxygen, carbon dioxide, nitrogen, phosphine, PM2.5, PM10, noise and other data.

[0553] Status information feedback: The central control cabinet collects status information of the terminal detection unit, including but not limited to whether the equipment is working normally and whether any fault occurs.

[0554] Data reporting: The collected data is uploaded to the remote platform through the wireless communication unit 4 of the central control cabinet.

[0555] How it works

[0556] Hardware design: In terms of hardware design, the central control cabinet includes a touch screen 2, a central control cabinet memory 5, a central control cabinet processor 3, a central control cabinet power supply unit 1, and a central control cabinet wireless communication unit 4. The central control cabinet power supply unit 1 ensures the stability of the working power supply of the central control cabinet processor 3, which is achieved through an industrial-grade switching power supply and a DC-DC isolation module. The central control cabinet wireless communication unit 4 uses a Lora gateway module to achieve wireless communication with the terminal detection unit.

[0557] Software design: In terms of software design, the central control cabinet processor 3 executes the control program in the central control cabinet memory 5, processes the data packets received from the remote platform, and disassembles, verifies and parses them, and then sends them to the designated terminal detection unit.

[0558] According to one embodiment of the present application, the physical module corresponds to a terminal detection unit in the park, which is responsible for collecting environmental data and transmitting it to a central control cabinet wirelessly.

[0559] Specifically, the components

[0560] The physical module consists of the core control board of the terminal detection unit, including:

[0561] IO input and output unit 7: used to connect to the controlled terminal equipment in the warehouse (such as LED lights, buzzers, etc.). This unit can control the start and stop of the terminal equipment and obtain the current status of the terminal equipment.

[0562] Terminal detection unit memory 10: used to store control programs.

[0563] Terminal detection unit processor 8: used to execute the control program in the terminal detection unit memory 10, process the data packets from the central control cabinet, and control the actions of the terminal equipment.

[0564] Terminal detection unit power supply unit 6: provides stable working power for the terminal detection unit processor 8 and other components.

[0565] Terminal detection unit wireless communication unit 9: used for sending and receiving data between the central control cabinet and the terminal detection unit, usually using a power-type Lora node module.

[0566] Functional Description

[0567] Data collection: The terminal detection unit is responsible for collecting environmental data inside and outside the warehouse, such as the concentration of gases and particulate matter such as oxygen, carbon dioxide, phosphine, PM2.5, PM10, etc.

[0568] Status information feedback: The detection unit can feed back the status information of the equipment (such as whether it is working normally, whether a fault occurs, etc.) to the central control cabinet.

[0569] Wireless transmission: The collected data is transmitted to the central control cabinet through the wireless communication unit 9 of the terminal detection unit. The wireless communication mode can be 4G, 5G or Lora.

[0570] Workflow

[0571] Receiving instructions: When the central control cabinet issues policy instructions, the terminal detection unit receives and parses these instructions.

[0572] Data collection: The detection unit starts the relevant sensors according to the parsed instructions to collect environmental data.

[0573] Status feedback: The detection unit also feeds back the status information of the equipment to the central control cabinet to ensure the correctness of data transmission.

[0574] Data transmission: The collected data is sent to the central control cabinet through the wireless communication unit 9 of the terminal detection unit.

[0575] Low power design

[0576] In order to ensure that the terminal detection unit can work stably for a long time and reduce maintenance costs, the design pays special attention to low power consumption. In hardware design, power consumption efficiency is improved through reasonable design of power supply, lightning interference protection, antenna adaptation and effective grounding. In software design, the timed idle mode is adopted to make the terminal detection unit sleep during non-working hours and wake up only when needed for data interaction. This can ensure the timeliness of data and effectively reduce power consumption.

[0577] According to one embodiment of the present application, the terminal sensor refers to the oxygen, carbon dioxide, phosphine, PM2.5 and PM10 terminal sensors inside and outside the warehouse. The terminal sensor is the front end of data collection, responsible for real-time detection of environmental parameters and transmitting data to the physical module equipment.

[0578] Specifically, oxygen sensors are used to detect the concentration of oxygen in the air. Such sensors usually measure the oxygen content through electrochemical or infrared technology and convert the measurement results into electrical signals.

[0579] Carbon dioxide sensor: responsible for detecting the carbon dioxide content in the air. Common carbon dioxide sensors use non-dispersive infrared (NDIR) technology to measure the concentration of carbon dioxide.

[0580] Phosphine sensor: used to detect the presence of phosphine gas. Phosphine is a toxic gas that may be produced during industrial production and storage, so it needs to be monitored.

[0581] PM2.5 sensor: used to detect fine particles in the air (diameter is less than or equal to 2.5 microns). PM2.5 sensors usually measure the concentration of fine particles in the air through laser scattering.

[0582] PM10 sensor: used to detect inhalable particles in the air (diameter less than or equal to 10 microns). Similar to PM2.5, PM10 sensor also detects the concentration of particles through optical methods.

[0583] As the front end of data collection, these terminal sensors are responsible for real-time monitoring of the oxygen content, carbon dioxide concentration, phosphine gas concentration, and concentration of particulate matter such as PM2.5 and PM10 in the environment, and transmit these data to the central control cabinet via wireless methods (such as Lora). The central control cabinet then transmits the collected data to the remote platform via wired or wireless networks to achieve centralized management and analysis of environmental data.

[0584] Anything not described in this application can be achieved by adopting or drawing on existing technologies.

[0585] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0586] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A multi-dimensional low-power consumption environmental gas detection method for a park, characterized in that: include: Based on the remote platform, the operating status of the associated equipment in the warehouse and the environmental parameters inside and outside the warehouse are obtained to generate policy instructions, and the policy instructions are verified and analyzed by the central control cabinet to generate reading instructions; The read instruction is verified and parsed by an end detection unit, and the end detection unit executes uploading detection data according to the parsed read instruction; The central control cabinet verifies the detection data, and if the detection data is correct, the terminal detection unit goes into sleep mode; If the detection data is wrong, the central control cabinet resends the reading instruction until the detection data uploaded by the terminal detection unit is verified to be correct.

2. The method according to claim 1, characterized in that The remote platform obtains the operating status of the associated equipment in the warehouse and the environmental parameters inside and outside the warehouse to generate a strategy instruction, and the central control cabinet verifies and analyzes the strategy instruction and generates a read instruction, which is specifically: The remote platform obtains the operating status of the associated equipment of the warehouse and the environmental parameters inside and outside the warehouse. The monitoring software of the remote platform generates an associated strategy according to the equipment status and the read data acquisition model, encapsulates the associated strategy into the strategy instruction through the protocol, and sends the strategy instruction to the central control cabinet; The central control cabinet verifies the strategy instruction, determines the integrity and correctness of the strategy instruction, and after determining that the strategy instruction is correct, parses the strategy instruction into the read instruction.

3. The method according to claim 1, characterized in that The end detection unit verifies and parses the read instruction, and the end detection unit uploads the detection data according to the parsed read instruction, specifically: The terminal detection unit verifies the read instruction, determines the integrity and correctness of the read instruction through the protocol, and parses the read instruction after determining that it is correct. According to the parsed read instruction, the port status of the IO input and output unit of the terminal detection unit is changed to control the start and stop of the terminal device, and obtain corresponding data to form the detection data for uploading.

4. The method according to claim 3, characterized in that The end detection unit adopts a timed idle mode.

5. The method according to claim 4, characterized in that The end detection unit determines to release the sleep state according to the read instruction issued by the central control cabinet.

6. A multi-dimensional low-power environmental gas detection system for a park, characterized in that: include: The display module is used to display and output the environmental gas information inside and outside the warehouse through the computer web terminal, mobile application or display screen; The strategy module is responsible for controlling strategy formulation and execution, as well as predicting future environmental change trends by analyzing historical data; Support module, used for power-on self-test, device status check, timed query, timed reporting, local settings, local warning, local storage and control output; Physical module, used to detect environmental parameters; Terminal sensors are used to detect specific gases and particles; The display module is connected to the policy module, and the policy module is communicatively connected to the support module, the physical module and the terminal sensor.

7. The system according to claim 6, characterized in that The strategy module includes a remote platform, which is responsible for generating control strategies, including but not limited to querying device status and obtaining data operations, and packaging these strategies in the form of instructions and sending them to the central control cabinet.

8. The system according to claim 6, characterized in that The support module includes a central control cabinet, which is responsible for parsing the policy instructions issued by the remote platform, disassembling them and sending them to the corresponding terminal detection units, and is also responsible for collecting data from the terminal detection units and feeding them back to the remote platform.

9. The system according to claim 6, characterized in that The physical module corresponds to the terminal detection unit in the park, which is responsible for collecting environmental data and transmitting it to the central control cabinet wirelessly.

10. The system according to claim 6, characterized in that The terminal sensors refer to the oxygen, carbon dioxide, phosphine, PM2.5 and PM10 terminal sensors inside and outside the warehouse. The terminal sensors are the front end of data collection, responsible for real-time detection of environmental parameters and transmitting data to the equipment of the physical module.

Images