Industrial and commercial gas data processing method and system based on Internet of Things and single chip microcomputer

Abstract

The invention relates to the field of gas data comprehensive processing, in particular to an industrial and commercial gas data processing method and system based on the Internet of Things and a single chip microcomputer. Comprising the following steps: establishing real-time gas state characteristics of industrial and commercial gas based on a numerical center server and an industrial and commercial digital intelligent terminal; utilizing the real-time gas state characteristics of the industrial and commercial gas and the corresponding natural gas flow data to establish system internal circulation comprehensive characteristics of the industrial and commercial gas; according to the system internal circulation comprehensive characteristics of the industrial and commercial fuel gas, double-side verification processing is carried out to obtain an industrial and commercial fuel gas data processing result, and iterative loop verification is set in the internal process of the scheme, so that the result can be stably operated and output for a long time after actual deployment; and a multi-stage comparison verification method of system data is established according to data in the system and associated moments, so that cyclic monitoring of the operation of the system is ensured, and real-time monitoring and evaluation of the overall operation of industrial and commercial gas are realized.

Description

Technical Field

[0001] The present invention relates to the field of comprehensive processing of gas data, and in particular to an industrial and commercial gas data processing method and system based on the Internet of Things and a single-chip microcomputer. Background Art

[0002] As a clean and efficient form of energy, gas plays an increasingly important role in residents' lives and industrial production. As the core unit of gas supply and management, gas operating companies are faced with complex and important tasks such as gas consumption management at large user terminals and safe production management.

[0003] First of all, traditional gas usage management technology has obvious limitations, and most gas equipment and facilities only have basic flow counting and deduction functions. However, in actual scenarios, under the same volume or delivery flow, the heat generated by natural gas is related to the calorific value of natural gas, but the actual calorific value of the gas purchased by the gas company may be different from the standard calorific value. Therefore, for industrial and commercial users with higher gas demand, if the calorific value of the gas is not considered when deducting fees, it may cause serious losses to gas companies and industrial and commercial users. In addition, existing gas management systems often lack a unified platform and logical framework, making it difficult to achieve effective linkage and integration between different monitoring indicators (such as pressure, temperature, flow or leak alarm, etc.). This not only affects the efficiency of gas management, but also increases the operating costs and safety risks of gas operating companies. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides an industrial and commercial gas data processing method and system based on the Internet of Things and a single-chip microcomputer. By simultaneously collecting the gas usage and actual calorific value and accurately calculating the amount of gas with calorific value involved in the calculation, it helps industrial and commercial users to calculate the gas cost more accurately and reduce unnecessary cost expenditure.

[0005] To achieve the above object, the present invention provides an industrial and commercial gas data processing method based on the Internet of Things and a single-chip microcomputer, comprising:

[0006] S1. Establish real-time gas status characteristics of industrial and commercial gas based on the numerical center service end and the industrial and commercial digital intelligence end;

[0007] S2, using the real-time gas state characteristics of the industrial and commercial gas and the corresponding natural gas flow data to establish the comprehensive characteristics of the system internal circulation of the industrial and commercial gas;

[0008] S3. Perform a two-side verification process based on the comprehensive characteristics of the internal circulation of the industrial and commercial gas system to obtain the industrial and commercial gas data processing result.

[0009] Preferably, the real-time gas status characteristics of industrial and commercial gas established based on the value center service end and the industrial and commercial digital intelligence end include:

[0010] S1-1, obtaining gas price information as real-time gas price data based on the value center server;

[0011] S1-2, based on the industrial and commercial digital terminal gas calorific value as gas calorific value data;

[0012] S1-3, using the gas calorific value data as the primary feature of the gas state;

[0013] S1-4, using the real-time gas price data as a secondary feature of the gas status;

[0014] S1-5. Utilize the primary gas state characteristic and the secondary gas state characteristic as the real-time gas state characteristic of industrial and commercial gas.

[0015] Furthermore, the comprehensive characteristics of the system internal circulation of industrial and commercial gas are established by using the real-time gas state characteristics of the industrial and commercial gas and the corresponding natural gas flow data, including:

[0016] S2-1, obtaining natural gas flow data corresponding to the real-time gas state characteristics of the industrial and commercial gas;

[0017] S2-2, using the real-time gas state characteristics and natural gas flow data of the industrial and commercial gas to respectively establish real-time gas state time series characteristics and natural gas flow data time series characteristics;

[0018] S2-3. Utilize the real-time gas state time series characteristics and the natural gas process data time series characteristics as the system internal circulation comprehensive characteristics of industrial and commercial gas.

[0019] Furthermore, using the real-time gas state characteristics and natural gas flow data of the industrial and commercial gas to respectively establish real-time gas state time series characteristics and natural gas flow data time series characteristics includes:

[0020] S2-2-1, using the real-time gas state characteristics of the industrial and commercial gas to establish a standard processing time t;

[0021] S2-2-2, respectively obtain the real-time gas state characteristics corresponding to the primary gas state characteristics at time t-1, standard processing time t and time t+1 as the primary gas state characteristics at the preceding time, the primary real-time gas state characteristics and the primary gas state characteristics at the following time;

[0022] S2-2-3, using the primary characteristics of the gas state at the preceding moment and the primary characteristics of the gas state at the real-time moment to obtain the data floating trend between the moment t-1 and the standard processing moment t as the first gas state data trend;

[0023] S2-2-4, using the primary characteristics of the real-time gas state and the primary characteristics of the post-time gas state to obtain the data floating trend between the standard processing time t and t+1 as the second gas state data trend;

[0024] S2-2-5. Using the first gas state data trend and the second gas state data trend as real-time gas state time series features;

[0025] S2-2-6, respectively obtaining the natural gas flow at time t-1, standard processing time t and time t+1 as the pre-time flow data, real-time flow data and post-time flow data;

[0026] S2-2-7, using the preceding moment flow data and the real-time flow data to obtain the data floating trend between the moment t-1 and the standard processing moment t as the first flow data trend;

[0027] S2-2-8, using the real-time flow data and the post-time flow data to obtain the data floating trend between the standard processing time t and the time t+1 as the second flow data trend;

[0028] S2-2-9, using the first flow data trend and the second flow data trend as the natural gas flow data time series feature;

[0029] The data floating trend is the changing trend of adjacent data.

[0030] Furthermore, the industrial and commercial gas data processing results obtained by performing a two-side verification process based on the comprehensive characteristics of the internal cycle of the industrial and commercial gas system include:

[0031] S3-1, using the comprehensive characteristics of the internal circulation of the industrial and commercial gas system to perform system-side verification processing to obtain a system-side verification result of the industrial and commercial gas;

[0032] S3-2, using the comprehensive characteristics of the internal cycle of the industrial and commercial gas system to perform numerical verification processing to obtain a numerical verification result of the industrial and commercial gas;

[0033] S3-3. Use the system-side verification result and the numerical-side verification result of the industrial and commercial gas as the industrial and commercial gas data processing result.

[0034] Furthermore, the system-side verification processing is performed using the comprehensive characteristics of the internal circulation of the industrial and commercial gas system to obtain the system-side verification results of the industrial and commercial gas, including:

[0035] S3-1-1, using the system growth rate of the gas state secondary characteristics corresponding to the real-time gas state characteristics of the industrial and commercial gas as real-time unrelated standard data according to the standard processing time t;

[0036] S3-1-2, according to the standard processing time t, obtain the unrelated standard data at time t-1 and time t+1 as the preceding time unrelated standard data and the following time unrelated standard data respectively;

[0037] S3-1-3, using the preceding time unrelated standard data and the real-time unrelated standard data to obtain the data floating trend between time t-1 and the standard processing time t as the first unrelated standard data trend;

[0038] S3-1-4, using the preceding time irrelevant standard data and the succeeding time irrelevant standard data to obtain the data floating trend between the standard processing time and the time t+1 as the second irrelevant standard data trend;

[0039] S3-1-5, determining whether the first unrelated standard data trend corresponds to the first flow data trend of the system internal circulation comprehensive characteristic, if so, executing S3-1-6, otherwise, the system side verification result is abnormal;

[0040] S3-1-6, determining whether the second unrelated standard data trend corresponds to the second flow data trend of the system internal circulation comprehensive characteristic, if so, the system side verification result is normal, otherwise, the system side verification result is abnormal;

[0041] The system growth rate is the gas price growth rate.

[0042] Furthermore, the numerical verification results of the industrial and commercial gas obtained by performing numerical verification processing using the comprehensive characteristics of the internal cycle of the industrial and commercial gas system include:

[0043] S3-2-1. Obtaining the corresponding historical system internal circulation comprehensive characteristics according to the system internal circulation comprehensive characteristics of the industrial and commercial gas;

[0044] S3-2-2, establishing a gas state-flow characteristic mapping according to the historical gas state data characteristics and the natural gas flow data time series characteristics of the historical system internal circulation comprehensive characteristics;

[0045] S3-2-3, determine whether the gas state-flow characteristic mapping and the system internal circulation comprehensive characteristic have the same gas state primary characteristic, if so, use the data position corresponding to the same gas state primary characteristic as the value side verification starting position k, and execute S3-2-4, otherwise, update the historical system internal circulation comprehensive characteristic, and return to S3-2-2;

[0046] S3-2-4, according to the numerical verification starting position k, respectively obtain the primary features of the gas state corresponding to the k+1 position and the k+2 position to establish a basic sequence of the primary features of the gas state;

[0047] S3-2-5. According to the numerical verification starting position k, the secondary features of the gas status corresponding to the k+1 position and the k+2 position are respectively obtained to establish a basic sequence of the secondary features of the gas status;

[0048] S3-2-6, judging whether the data fluctuation of the primary characteristic basic sequence of the gas state is the same as that of the secondary characteristic basic sequence of the gas state, if so, executing S3-2-7, otherwise, updating the value side verification starting position k, and returning to S3-2-4;

[0049] S3-2-7, obtaining the corresponding historical first gas state data trend and historical first flow data trend respectively according to the first gas state data trend and the first flow data trend of the comprehensive characteristics of the internal circulation of the system;

[0050] S3-2-8. Obtain the corresponding historical second gas state data trend and historical second flow data trend respectively according to the second gas state data trend and the second flow data trend of the comprehensive characteristics of the internal circulation of the system

[0051] S3-2-9, determining whether the first gas state data trend of the system internal circulation comprehensive characteristics is the same as the historical first gas state data trend, if so, executing S3-2-10, otherwise, the numerical side verification result is abnormal;

[0052] S3-2-10, determining whether the second gas state data trend of the system internal circulation comprehensive characteristics is the same as the historical second gas state data trend, if so, executing S3-2-11, otherwise, the numerical side verification result is abnormal;

[0053] S3-2-11, determine whether the first flow data trend of the comprehensive characteristics of the internal circulation of the system corresponds to the historical first flow data trend, if so, execute S3-2-12, otherwise, the numerical side verification result is abnormal;

[0054] S3-2-12. Determine whether the second flow data trend of the comprehensive characteristics of the internal circulation of the system corresponds to the historical second flow data trend. If so, the numerical side verification result is normal; otherwise, the numerical side verification result is abnormal.

[0055] An industrial and commercial gas data processing system based on the Internet of Things and a single-chip microcomputer, comprising: a gas calorific value detection device connected to a gas main source pipeline, wherein the gas main source pipeline delivers gas to industrial and commercial users through various gas branch pipelines, each gas branch pipeline is provided with a gas flow meter, and each industrial and commercial user corresponding to each gas branch pipeline is provided with an industrial and commercial digital intelligence terminal;

[0056] The gas calorific value detection device is used to detect the current gas calorific value of the gas main source pipeline in real time. When the gas calorific value changes, the changed gas calorific value is sent to the cloud service end in real time;

[0057] The cloud service end is used to send the received changed gas calorific value to the industrial and commercial digital intelligence end of each gas branch pipeline under the gas main source pipeline;

[0058] The industrial and commercial digital intelligence terminal is used to receive the gas calorific value and the current natural gas flow rate collected by the gas flowmeter, calculate the amount of gas calorific value involved in the calculation based on the gas calorific value and flow rate; perform fee deduction management based on the gas price and the amount of gas calorific value involved in the calculation, and when the balance drops to the warning amount, send an insufficient balance alarm to the digital intelligence center service end and the user end APP, and when the balance drops to 0, cut off the valve at the industrial and commercial user's branch pipeline;

[0059] The digital intelligence center service end is used to set the gas price and send the gas price to the industrial and commercial digital intelligence end; and receive industrial and commercial gas safety data and generate industrial and commercial gas alarm information based on the industrial and commercial gas safety data, and transmit the industrial and commercial gas alarm information to the cloud service end;

[0060] The industrial and commercial digital intelligence terminal is used to receive the actual calorific value of the current natural gas collected by the gas calorific value detection device and the current natural gas flow collected by the gas flow meter, and calculate the amount of gas with calorific value involved in the calculation based on the actual calorific value and the current natural gas flow; perform fee deduction management based on the gas price and relative usage, and when the balance drops to the warning amount, send an insufficient balance alarm to the digital intelligence center service end and the user end APP, and when the balance drops to 0, cut off the valve at the natural gas pipeline;

[0061] The user-side APP is used to send remote payment instructions, balance check instructions, and remote opening or closing of valves to the industrial and commercial digital intelligence terminal;

[0062] The cloud service end is used to receive industrial and commercial gas alarm information, and synchronize the industrial and commercial gas alarm information to the user end APP and the digital intelligence center service end to notify industrial and commercial users and gas companies of the alarm information;

[0063] The data acquisition module includes: an inlet pressure transmitter installed at the inlet of the branch pipeline and an outlet pressure transmitter installed at the outlet of the natural gas pipeline; the inlet pressure transmitter and the outlet pressure transmitter are hard-wired to the transfer explosion-proof box, and the transfer explosion-proof box is connected to the industrial and commercial digital intelligence terminal through 485 communication;

[0064] The inlet pressure transmitter is used to collect the inlet pressure value at the inlet of the branch pipeline; when the inlet pressure value does not belong to the inlet safety range value, the inlet pressure value is sent to the industrial and commercial digital intelligence terminal;

[0065] The outlet pressure transmitter is used to collect the outlet pressure value at the outlet of the branch pipeline; when the outlet pressure value does not fall within the outlet safety range value, the outlet pressure value is sent to the industrial and commercial digital intelligence terminal.

[0066] Preferably, the data acquisition module includes: an inlet temperature transmitter installed at the inlet of the branch pipe and an outlet temperature transmitter installed at the outlet of the branch pipe; the inlet temperature transmitter and the outlet temperature transmitter are hard-wired to the transfer explosion-proof box, and the transfer explosion-proof box is connected to the industrial and commercial digital intelligence terminal through 485 communication;

[0067] The inlet temperature transmitter is used to collect the inlet temperature value at the inlet of the branch pipeline in real time, and send the inlet temperature value to the industrial and commercial digital intelligence terminal;

[0068] The outlet temperature transmitter is used to collect the outlet temperature value at the outlet of the branch pipeline in real time and send the outlet temperature value to the industrial and commercial digital intelligence terminal;

[0069] The data acquisition module includes a gas leak detector, which is hard-wired to a transfer explosion-proof box, and the transfer explosion-proof box is connected to the industrial and commercial digital intelligence terminal via 485 communication;

[0070] The gas leak detector is used to collect gas leakage data. When the gas leakage data is greater than a preset leakage alarm value, the gas leakage data is sent to an industrial and commercial digital intelligence terminal.

[0071] Compared with the closest prior art, the present invention has the following beneficial effects:

[0072] The current calorific value of natural gas is collected using calorific value detection equipment, and the flow rate of natural gas is collected using a gas flow meter. The amount of gas calorific value involved in the calculation is calculated based on the current calorific value and flow rate. Finally, the energy generated by the amount of gas calorific value involved in the calculation is the energy that the user can actually receive. At the same time, the iterative cycle verification established in the internal process of the solution can stably run the output results for a long time after actual deployment, and establish a multi-level comparison and verification method for system data based on the data and associated moments in the system, which not only ensures the cyclic monitoring of the system's own operation, but also the real-time monitoring and evaluation of the overall operation of industrial and commercial gas, avoiding user losses due to the actual calorific value of the gas being less than the standard calorific value, and improving the operational safety of the system and user sides and the accuracy of data processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1It is a flow chart of an industrial and commercial gas data processing method based on the Internet of Things and a single-chip microcomputer provided by the present invention;

[0074] Figure 2 A schematic diagram of the structure of an industrial and commercial gas data processing system based on the Internet of Things provided by an embodiment of the present invention;

[0075] Figure 3 A schematic diagram of the structure of another industrial and commercial gas data processing system based on the Internet of Things provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0076] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0077] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0078] Embodiment 1:

[0079] The present invention provides an industrial and commercial gas data processing method based on the Internet of Things and a single-chip microcomputer, such as Figure 1 As shown, including:

[0080] S1. Establish real-time gas status characteristics of industrial and commercial gas based on the numerical center service end and the industrial and commercial digital intelligence end;

[0081] S2, using the real-time gas state characteristics of the industrial and commercial gas and the corresponding natural gas flow data to establish the comprehensive characteristics of the system internal circulation of the industrial and commercial gas;

[0082] S3. Perform a two-side verification process based on the comprehensive characteristics of the internal circulation of the industrial and commercial gas system to obtain the industrial and commercial gas data processing result.

[0083] S1 specifically includes:

[0084] S1-1, obtaining gas price information as real-time gas price data based on the value center server;

[0085] S1-2, based on the industrial and commercial digital terminal gas calorific value as gas calorific value data;

[0086] S1-3, using the gas calorific value data as the primary feature of the gas state;

[0087] S1-4, using the real-time gas price data as a secondary feature of the gas status;

[0088] S1-5. Utilize the primary gas state characteristic and the secondary gas state characteristic as the real-time gas state characteristic of industrial and commercial gas.

[0089] S2 specifically includes:

[0090] S2-1, obtaining natural gas flow data corresponding to the real-time gas state characteristics of the industrial and commercial gas;

[0091] S2-2, using the real-time gas state characteristics and natural gas flow data of the industrial and commercial gas to respectively establish real-time gas state time series characteristics and natural gas flow data time series characteristics;

[0092] S2-3. Utilize the real-time gas state time series characteristics and the natural gas process data time series characteristics as the system internal circulation comprehensive characteristics of industrial and commercial gas.

[0093] S2-2 specifically includes:

[0094] S2-2-1, using the real-time gas state characteristics of the industrial and commercial gas to establish a standard processing time t;

[0095] S2-2-2, respectively obtain the real-time gas state characteristics corresponding to the primary gas state characteristics at time t-1, standard processing time t and time t+1 as the primary gas state characteristics at the preceding time, the primary real-time gas state characteristics and the primary gas state characteristics at the following time;

[0096] S2-2-3, using the primary characteristics of the gas state at the preceding moment and the primary characteristics of the gas state at the real-time moment to obtain the data floating trend between the moment t-1 and the standard processing moment t as the first gas state data trend;

[0097] S2-2-4, using the primary characteristics of the real-time gas state and the primary characteristics of the post-time gas state to obtain the data floating trend between the standard processing time t and t+1 as the second gas state data trend;

[0098] S2-2-5. Using the first gas state data trend and the second gas state data trend as real-time gas state time series features;

[0099] S2-2-6, respectively obtaining the natural gas flow at time t-1, standard processing time t and time t+1 as the pre-time flow data, real-time flow data and post-time flow data;

[0100] S2-2-7, using the preceding moment flow data and the real-time flow data to obtain the data floating trend between the moment t-1 and the standard processing moment t as the first flow data trend;

[0101] S2-2-8, using the real-time flow data and the post-time flow data to obtain the data floating trend between the standard processing time t and the time t+1 as the second flow data trend;

[0102] S2-2-9, using the first flow data trend and the second flow data trend as the natural gas flow data time series feature;

[0103] The data floating trend is the changing trend of adjacent data.

[0104] S3 specifically includes:

[0105] S3-1, using the comprehensive characteristics of the internal circulation of the industrial and commercial gas system to perform system-side verification processing to obtain a system-side verification result of the industrial and commercial gas;

[0106] S3-2, using the comprehensive characteristics of the internal cycle of the industrial and commercial gas system to perform numerical verification processing to obtain a numerical verification result of the industrial and commercial gas;

[0107] S3-3. Use the system-side verification result and the numerical-side verification result of the industrial and commercial gas as the industrial and commercial gas data processing result.

[0108] S3-1 specifically includes:

[0109] S3-1-1, using the system growth rate of the gas state secondary characteristics corresponding to the real-time gas state characteristics of the industrial and commercial gas as real-time unrelated standard data according to the standard processing time t;

[0110] S3-1-2, according to the standard processing time t, obtain the unrelated standard data at time t-1 and time t+1 as the preceding time unrelated standard data and the following time unrelated standard data respectively;

[0111] S3-1-3, using the preceding time unrelated standard data and the real-time unrelated standard data to obtain the data floating trend between time t-1 and the standard processing time t as the first unrelated standard data trend;

[0112] S3-1-4, using the preceding time irrelevant standard data and the succeeding time irrelevant standard data to obtain the data floating trend between the standard processing time and the time t+1 as the second irrelevant standard data trend;

[0113] S3-1-5, determining whether the first unrelated standard data trend corresponds to the first flow data trend of the system internal circulation comprehensive characteristic, if so, executing S3-1-6, otherwise, the system side verification result is abnormal;

[0114] S3-1-6, determining whether the second unrelated standard data trend corresponds to the second flow data trend of the system internal circulation comprehensive characteristic, if so, the system side verification result is normal, otherwise, the system side verification result is abnormal;

[0115] The system growth rate is the gas price growth rate.

[0116] S3-2 specifically includes:

[0117] S3-2-1. Obtaining the corresponding historical system internal circulation comprehensive characteristics according to the system internal circulation comprehensive characteristics of the industrial and commercial gas;

[0118] S3-2-2, establishing a gas state-flow characteristic mapping according to the historical gas state data characteristics and the natural gas flow data time series characteristics of the historical system internal circulation comprehensive characteristics;

[0119] S3-2-3, determine whether the gas state-flow characteristic mapping and the system internal circulation comprehensive characteristic have the same gas state primary characteristic, if so, use the data position corresponding to the same gas state primary characteristic as the value side verification starting position k, and execute S3-2-4, otherwise, update the historical system internal circulation comprehensive characteristic, and return to S3-2-2;

[0120] S3-2-4, according to the numerical verification starting position k, respectively obtain the primary features of the gas state corresponding to the k+1 position and the k+2 position to establish a basic sequence of the primary features of the gas state;

[0121] S3-2-5. According to the numerical verification starting position k, the secondary features of the gas status corresponding to the k+1 position and the k+2 position are respectively obtained to establish a basic sequence of the secondary features of the gas status;

[0122] S3-2-6, judging whether the data fluctuation of the primary characteristic basic sequence of the gas state is the same as that of the secondary characteristic basic sequence of the gas state, if so, executing S3-2-7, otherwise, updating the value side verification starting position k, and returning to S3-2-4;

[0123] S3-2-7, obtaining the corresponding historical first gas state data trend and historical first flow data trend respectively according to the first gas state data trend and the first flow data trend of the comprehensive characteristics of the internal circulation of the system;

[0124] S3-2-8. Obtain the corresponding historical second gas state data trend and historical second flow data trend respectively according to the second gas state data trend and the second flow data trend of the comprehensive characteristics of the internal circulation of the system

[0125] S3-2-9, determining whether the first gas state data trend of the system internal circulation comprehensive characteristics is the same as the historical first gas state data trend, if so, executing S3-2-10, otherwise, the numerical side verification result is abnormal;

[0126] S3-2-10, determining whether the second gas state data trend of the system internal circulation comprehensive characteristics is the same as the historical second gas state data trend, if so, executing S3-2-11, otherwise, the numerical side verification result is abnormal;

[0127] S3-2-11, determine whether the first flow data trend of the comprehensive characteristics of the internal circulation of the system corresponds to the historical first flow data trend, if so, execute S3-2-12, otherwise, the numerical side verification result is abnormal;

[0128] S3-2-12. Determine whether the second flow data trend of the comprehensive characteristics of the internal circulation of the system corresponds to the historical second flow data trend. If so, the numerical side verification result is normal; otherwise, the numerical side verification result is abnormal.

[0129] Embodiment 2:

[0130] The present invention provides an industrial and commercial gas data processing system based on the Internet of Things and a single-chip microcomputer, such as Figure 2 As shown, the system includes: a gas calorific value detection device connected to a gas main source pipeline, the gas main source pipeline transports gas to industrial and commercial users through various gas branch pipelines, each gas branch pipeline is provided with a gas flow meter, and each industrial and commercial user corresponding to each gas branch pipeline is provided with an industrial and commercial digital intelligence terminal;

[0131] The gas calorific value detection device is used to detect the current gas calorific value of the gas main source pipeline in real time. When the gas calorific value changes, the changed gas calorific value is sent to the cloud service end in real time;

[0132] The cloud service end is used to send the received changed gas calorific value to the industrial and commercial digital intelligence end of each gas branch pipeline under the gas main source pipeline;

[0133] The industrial and commercial digital intelligence terminal is used to receive the gas calorific value and the current natural gas flow rate collected by the gas flowmeter, calculate the amount of gas calorific value involved in the calculation based on the gas calorific value and flow rate; perform fee deduction management based on the gas price and the amount of gas calorific value involved in the calculation, and when the balance drops to the warning amount, send an insufficient balance alarm to the digital intelligence center service end and the user end APP, and when the balance drops to 0, cut off the valve at the industrial and commercial user's branch pipeline;

[0134] The digital intelligence center service end is used to set the gas price and send the gas price to the industrial and commercial digital intelligence end; and receive industrial and commercial gas safety data and generate industrial and commercial gas alarm information based on the industrial and commercial gas safety data, and transmit the industrial and commercial gas alarm information to the cloud service end;

[0135] The industrial and commercial digital intelligence terminal is used to receive the actual calorific value of the current natural gas collected by the gas calorific value detection device and the current natural gas flow collected by the gas flow meter, and calculate the amount of gas with calorific value involved in the calculation based on the actual calorific value and the current natural gas flow; perform fee deduction management based on the gas price and relative usage, and when the balance drops to the warning amount, send an insufficient balance alarm to the digital intelligence center service end and the user end APP, and when the balance drops to 0, cut off the valve at the natural gas pipeline;

[0136] The user-side APP is used to send remote payment instructions, balance viewing instructions, and remote opening or closing of valves to the industrial and commercial digital terminal.

[0137] The heat generated by natural gas is not only related to the amount of natural gas used, but also to the calorific value of natural gas. For example, for the same volume of natural gas, the higher the calorific value of natural gas, the higher the energy generated. In actual scenarios, the actual calorific value of the gas purchased by the gas company may be different from the standard calorific value, and thus the actual energy generated per cubic meter of gas is also different from the theoretical energy generated. For example, the standard calorific value of the gas purchased by the gas company is 50 kcal, but the actual calorific value of the gas may be less than 50 kcal. If it is still sold to users at the price of 50 kcal, it will cause losses to users.

[0138] Therefore, the present invention simultaneously collects the flow rate and actual calorific value of the gas, and calculates the amount of the gas with calorific value involved in the calculation. The specific process is as follows:

[0139] First, the actual calorific value of natural gas collected by the gas calorific value detection device is received, and the calorific value deviation rate is calculated. The calorific value deviation rate is the ratio of the current calorific value to the standard calorific value. For example, the marked calorific value of the gas purchased by the gas company is 50 kcal, but the actual calorific value of the gas is 40 kcal, then the calorific value deviation rate is 0.8.

[0140] Then, the flow rate of natural gas collected by the gas flow meter is received, and the product of the gas flow rate and the gas calorific value deviation rate is calculated to obtain the amount of gas calorific value involved in the calculation. For example, if the flow rate of natural gas collected by the gas flow meter is 100 cubic meters, the amount of gas calorific value involved in the calculation is 80 cubic meters.

[0141] From the above, it can be seen that the energy generated by the amount of gas with calorific value involved in the calculation is the energy that the user can actually receive. Therefore, the present invention can ensure that the user pays according to the actual energy received, avoiding user losses caused by the actual calorific value of the gas being less than the standard calorific value, and helping industrial and commercial users to calculate the gas cost more accurately and reduce unnecessary cost expenditure.

[0142] In addition, the industrial and commercial gas data processing system further includes a first data acquisition module, which is used to collect industrial and commercial gas safety data, and when the industrial and commercial gas safety data triggers an industrial and commercial gas alarm condition, the industrial and commercial gas safety data is sent to the industrial and commercial digital intelligence terminal;

[0143] The cloud service end is used to receive industrial and commercial gas alarm information, and process and synchronize the industrial and commercial gas alarm information to the user end APP and the digital intelligence center service end to notify industrial and commercial users and gas companies of the alarm information.

[0144] Specifically, gas safety data may include: gas pressure data, gas temperature data, smoke concentration data, and gas leakage concentration data, etc. Through the data acquisition module, the system can collect gas safety data in real time to ensure that every safety data of the gas is under monitoring. When a certain gas safety data triggers an alarm condition, the gas safety data is sent to the industrial and commercial digital intelligence terminal. The industrial and commercial digital intelligence terminal reserves a variety of interfaces, such as DI, AI, DQ, QA, 485, pulse interface, etc. The industrial and commercial digital intelligence terminal performs logical analysis on the various gas safety data received to determine whether the gas facilities are working normally. If not, the corresponding alarm information is generated.

[0145] Specifically, after receiving the alarm information, the cloud service end can quickly synchronize the alarm information to the user-end APP and the digital intelligence center service end, so that the user can promptly learn about the alarm information through the industrial and commercial user-end APP, and promptly contact the gas company for corresponding repairs. The first digital intelligence center service end can be the digital intelligence center service system of the gas company, which ensures that the gas company promptly understands the gas safety issues of industrial and commercial users through alarm information, and then the gas company’s staff can promptly contact the user and perform repairs in a timely manner, so as to achieve the purpose of ensuring the safety of users’ gas use. In addition, this embodiment improves the efficiency of information transmission through this multi-end synchronous notification mechanism, making gas management more transparent and open, that is, both the user-end APP and the first digital intelligence center service end can obtain alarm information in a timely manner, facilitating communication between users and gas companies.

[0146] The data acquisition module includes: an inlet pressure transmitter installed at the entrance of the gas branch channel and an outlet pressure transmitter installed at the outlet of the natural gas pipeline; since there are many connections in the industrial and commercial digital intelligence terminal, in order to ensure safety issues, the inlet pressure transmitter and the outlet pressure transmitter are hard-wired to the transfer explosion-proof box, and the transfer explosion-proof box is connected to the commercial digital intelligence terminal via 485 communication.

[0147] Depend on Figure 3 It can be seen that a pressure regulator is installed on the natural gas pipeline, so the gas pressure at the inlet and outlet of the natural gas pipeline are different. Therefore, in order to ensure safety, an inlet pressure transmitter and an outlet pressure transmitter are installed at the inlet and outlet of the branch pipeline respectively.

[0148] The inlet pressure transmitter is used to collect the inlet pressure value at the inlet of the natural gas pipeline; when the inlet pressure value does not fall within the inlet safety range, the inlet pressure value is sent to the industrial and commercial digital terminal; the outlet pressure transmitter is used to collect the outlet pressure value at the outlet of the natural gas pipeline; when the outlet pressure value does not fall within the outlet safety range, the outlet pressure value is sent to the industrial and commercial digital terminal.

[0149] After the industrial and commercial digital terminal receives the inlet pressure value, if the inlet pressure value is greater than the maximum value in the inlet safety range value, it means that the current gas pressure is too high, and the valve at the natural gas pipeline is cut off to avoid safety problems, and the inlet high pressure alarm information is transmitted to the cloud service end; if the inlet pressure value is less than the minimum value in the inlet safety range value, it means that the current gas pressure is too low. Although there will be no safety problems, the branch pipeline may have leaks. Therefore, the inlet low pressure alarm information is transmitted to the first cloud service end for users and gas companies to check in time.

[0150] In addition to collecting gas pressure data of the gas distribution pipeline to determine whether there is a gas leak, the data collection module also includes a gas leak detector, the gas leak detector is hard-wired to the transfer explosion-proof box, and the transfer explosion-proof box is connected to the commercial digital intelligence terminal via 485 communication;

[0151] The gas leak detector is installed in an indoor scene and is used to collect indoor gas leakage data. When the gas leakage data is greater than a preset leakage alarm value, the gas leakage data is sent to an industrial and commercial digital intelligence terminal.

[0152] The industrial and commercial digital intelligence terminal is specifically used to receive the gas leakage data. If the smoke concentration data is greater than a first threshold and less than a second threshold, and the second threshold is greater than the first threshold, it indicates that there is an indoor gas leak, but the leakage is not very serious and will not cause safety problems. Therefore, only the leakage alarm information is transmitted to the cloud service end.

[0153] If the smoke concentration data is greater than the second threshold, it means that there is a serious gas leak in the room. Therefore, to ensure safety, the valve at the natural gas pipeline is cut off and the leakage alarm information is transmitted to the cloud service end.

[0154] The data acquisition module also includes: an inlet temperature transmitter installed at the inlet of the gas branch pipeline and an outlet temperature transmitter installed at the outlet of the gas branch pipeline; the inlet temperature transmitter and the outlet temperature transmitter are hard-wired to the transfer explosion-proof box, and the transfer explosion-proof box is connected to the industrial and commercial digital terminal via 485 communication.

[0155] The inlet temperature transmitter is used to collect the inlet temperature value of the natural gas pipeline inlet in real time, and send the inlet temperature value to the industrial and commercial digital intelligence terminal; the outlet temperature transmitter is used to collect the outlet temperature value of the natural gas pipeline outlet in real time, and send the outlet temperature value to the industrial and commercial digital intelligence terminal;

[0156] The industrial and commercial digital intelligence terminal receives the inlet temperature value and the outlet temperature value, calculates the temperature difference between the inlet temperature value and the outlet temperature value, and if the temperature difference is greater than the preset temperature difference alarm value, it means that a gas leak has occurred in the natural gas pipeline, causing the inlet temperature and the outlet temperature to be different, so the temperature difference alarm information is transmitted to the cloud service end.

[0157] After the industrial and commercial digital intelligence terminal receives the gas safety data, it can also first determine whether the gas safety data is abnormal data.

[0158] Specifically, after the industrial and commercial digital intelligence terminal receives the industrial and commercial gas safety data, it determines whether the industrial and commercial gas safety data is abnormal data; if the industrial and commercial gas safety data is abnormal data, it automatically filters the industrial and commercial gas safety data; if the industrial and commercial gas safety data is not abnormal data, it generates alarm information based on the industrial and commercial gas safety data, and transmits the alarm information to the cloud service end through the 4G / 5G network.

[0159] The cloud server is also used for:

[0160] For each branch pipeline, generate industrial and commercial gas usage records based on the historical usage flow of the gas in the branch pipeline;

[0161] receiving the current flow rate of the gas collected by the flow meter in real time, and judging whether the current flow rate is abnormal based on the industrial and commercial gas usage record;

[0162] If the current flow is abnormal, flow abnormality information is generated and synchronized to the user-side APP and the digital intelligence center server to notify industrial and commercial users and gas companies of the flow abnormality information.

[0163] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0164] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0165] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0166] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0167] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for processing industrial and commercial gas data based on the Internet of Things and a single-chip microcomputer, characterized in that: include: S1. Establish real-time gas status characteristics of industrial and commercial gas based on the numerical center service end and the industrial and commercial digital intelligence end; S2, using the real-time gas state characteristics of the industrial and commercial gas and the corresponding natural gas flow data to establish the comprehensive characteristics of the system internal circulation of the industrial and commercial gas; S3. Perform a two-side verification process based on the comprehensive characteristics of the internal circulation of the industrial and commercial gas system to obtain the industrial and commercial gas data processing result.

2. The industrial and commercial gas data processing method based on the Internet of Things and a single-chip microcomputer as claimed in claim 1 is characterized in that: The real-time gas status characteristics of industrial and commercial gas established based on the value center service end and the industrial and commercial digital intelligence end include: S1-1, obtaining gas price information as real-time gas price data based on the value center server; S1-2, based on the industrial and commercial digital terminal gas calorific value as gas calorific value data; S1-3, using the gas calorific value data as the primary feature of the gas state; S1-4, using the real-time gas price data as a secondary feature of the gas status; S1-5. Utilize the primary gas state characteristic and the secondary gas state characteristic as the real-time gas state characteristic of industrial and commercial gas.

3. The industrial and commercial gas data processing method based on the Internet of Things and a single-chip microcomputer as claimed in claim 2 is characterized in that: The comprehensive characteristics of the system internal circulation of industrial and commercial gas are established by using the real-time gas state characteristics of the industrial and commercial gas and the corresponding natural gas flow data, including: S2-1, obtaining natural gas flow data corresponding to the real-time gas state characteristics of the industrial and commercial gas; S2-2, using the real-time gas state characteristics and natural gas flow data of the industrial and commercial gas to respectively establish real-time gas state time series characteristics and natural gas flow data time series characteristics; S2-3. Utilize the real-time gas state time series characteristics and the natural gas process data time series characteristics as the system internal circulation comprehensive characteristics of industrial and commercial gas.

4. The industrial and commercial gas data processing method based on the Internet of Things and a single-chip microcomputer as claimed in claim 3 is characterized in that: Using the real-time gas state characteristics and natural gas flow data of the industrial and commercial gas to respectively establish real-time gas state time series characteristics and natural gas flow data time series characteristics include: S2-2-1, using the real-time gas state characteristics of the industrial and commercial gas to establish a standard processing time t; S2-2-2, respectively obtain the real-time gas state characteristics corresponding to the primary gas state characteristics at time t-1, standard processing time t and time t+1 as the primary gas state characteristics at the preceding time, the primary real-time gas state characteristics and the primary gas state characteristics at the following time; S2-2-3, using the primary characteristics of the gas state at the preceding moment and the primary characteristics of the gas state at the real-time moment to obtain the data floating trend between the moment t-1 and the standard processing moment t as the first gas state data trend; S2-2-4, using the primary feature of the real-time gas state and the primary feature of the post-time gas state to obtain the data floating trend between the standard processing time t and t+1 as the second gas state data trend; S2-2-5. Using the first gas state data trend and the second gas state data trend as real-time gas state time series features; S2-2-6, respectively obtaining the natural gas flow at time t-1, standard processing time t and time t+1 as the pre-time flow data, real-time flow data and post-time flow data; S2-2-7, using the preceding moment flow data and the real-time flow data to obtain the data floating trend between the moment t-1 and the standard processing moment t as the first flow data trend; S2-2-8, using the real-time flow data and the post-time flow data to obtain the data floating trend between the standard processing time t and the time t+1 as the second flow data trend; S2-2-9, using the first flow data trend and the second flow data trend as the natural gas flow data time series feature; The data floating trend is the changing trend of adjacent data.

5. The industrial and commercial gas data processing method based on the Internet of Things and a single-chip microcomputer as claimed in claim 4 is characterized in that: The industrial and commercial gas data processing results obtained by performing a two-sided verification process based on the comprehensive characteristics of the internal circulation of the industrial and commercial gas system include: S3-1, using the comprehensive characteristics of the internal circulation of the industrial and commercial gas system to perform system-side verification processing to obtain a system-side verification result of the industrial and commercial gas; S3-2, using the comprehensive characteristics of the internal cycle of the industrial and commercial gas system to perform numerical verification processing to obtain a numerical verification result of the industrial and commercial gas; S3-3. Use the system-side verification result and the numerical-side verification result of the industrial and commercial gas as the industrial and commercial gas data processing result.

6. The industrial and commercial gas data processing method based on the Internet of Things and a single-chip microcomputer as claimed in claim 5, characterized in that: The system-side verification results of the industrial and commercial gas obtained by performing system-side verification processing using the comprehensive characteristics of the system internal circulation of the industrial and commercial gas include: S3-1-1, using the system growth rate of the gas state secondary characteristics corresponding to the real-time gas state characteristics of the industrial and commercial gas as real-time unrelated standard data according to the standard processing time t; S3-1-2, according to the standard processing time t, obtain the unrelated standard data at time t-1 and time t+1 as the preceding time unrelated standard data and the following time unrelated standard data respectively; S3-1-3, using the preceding time unrelated standard data and the real-time unrelated standard data to obtain the data floating trend between time t-1 and the standard processing time t as the first unrelated standard data trend; S3-1-4, using the preceding time irrelevant standard data and the succeeding time irrelevant standard data to obtain the data floating trend between the standard processing time and the time t+1 as the second irrelevant standard data trend; S3-1-5, determining whether the first unrelated standard data trend corresponds to the first flow data trend of the system internal circulation comprehensive feature, if so, executing S3-1-6, otherwise, the system side verification result is abnormal; S3-1-6, determining whether the second unrelated standard data trend corresponds to the second flow data trend of the system internal circulation comprehensive characteristic, if so, the system side verification result is normal, otherwise, the system side verification result is abnormal; The system growth rate is the gas price growth rate.

7. The industrial and commercial gas data processing method based on the Internet of Things and a single-chip microcomputer as claimed in claim 6 is characterized in that: The numerical verification results of the industrial and commercial gas obtained by numerical verification processing using the comprehensive characteristics of the internal cycle of the industrial and commercial gas system include: S3-2-1. Obtaining the corresponding historical system internal circulation comprehensive characteristics according to the system internal circulation comprehensive characteristics of the industrial and commercial gas; S3-2-2, establishing a gas state-flow characteristic mapping according to the historical gas state data characteristics and the natural gas flow data time series characteristics of the historical system internal circulation comprehensive characteristics; S3-2-3, determine whether the gas state-flow characteristic mapping and the system internal circulation comprehensive characteristic have the same gas state primary characteristic, if so, use the data position corresponding to the same gas state primary characteristic as the value side verification starting position k, and execute S3-2-4, otherwise, update the historical system internal circulation comprehensive characteristic, and return to S3-2-2; S3-2-4, according to the numerical verification starting position k, respectively obtain the primary features of the gas state corresponding to the k+1 position and the k+2 position to establish a basic sequence of the primary features of the gas state; S3-2-5. According to the numerical verification starting position k, the secondary features of the gas state corresponding to the k+1 position and the k+2 position are respectively obtained to establish a basic sequence of the secondary features of the gas state; S3-2-6, judging whether the data fluctuation of the primary characteristic basic sequence of the gas state is the same as that of the secondary characteristic basic sequence of the gas state, if so, executing S3-2-7, otherwise, updating the value side verification starting position k, and returning to S3-2-4; S3-2-7, obtaining the corresponding historical first gas state data trend and historical first flow data trend respectively according to the first gas state data trend and the first flow data trend of the comprehensive characteristics of the internal circulation of the system; S3-2-8, obtaining the corresponding historical second gas state data trend and historical second flow data trend respectively according to the second gas state data trend and the second flow data trend of the comprehensive characteristics of the internal circulation of the system; S3-2-9, determining whether the first gas state data trend of the system internal circulation comprehensive characteristics is the same as the historical first gas state data trend, if so, executing S3-2-10, otherwise, the numerical side verification result is abnormal; S3-2-10, determining whether the second gas state data trend of the system internal circulation comprehensive characteristics is the same as the historical second gas state data trend, if so, executing S3-2-11, otherwise, the numerical side verification result is abnormal; S3-2-11, determine whether the first flow data trend of the comprehensive characteristics of the internal circulation of the system corresponds to the historical first flow data trend, if so, execute S3-2-12, otherwise, the numerical side verification result is abnormal; S3-2-12. Determine whether the second flow data trend of the comprehensive characteristics of the internal circulation of the system corresponds to the historical second flow data trend. If so, the numerical side verification result is normal; otherwise, the numerical side verification result is abnormal.

8. A system for industrial and commercial gas data processing method based on Internet of Things and single chip microcomputer as described in any one of claims 1 to 7, characterized in that: include: Gas calorific value detection equipment connected to the main gas source pipeline, the main gas source pipeline transports gas to industrial and commercial users through various gas branch pipelines, each gas branch pipeline is equipped with a gas flow meter, and each industrial and commercial user corresponding to each gas branch pipeline is equipped with an industrial and commercial digital terminal; The gas calorific value detection device is used to detect the current gas calorific value of the gas main gas source pipeline in real time. When the gas calorific value changes, the changed gas calorific value is sent to the cloud service end in real time; The cloud service end is used to send the received changed gas calorific value to the industrial and commercial digital intelligence end of each gas branch pipeline under the gas main source pipeline; The industrial and commercial digital intelligence terminal is used to receive the gas calorific value and the current natural gas flow rate collected by the gas flowmeter, calculate the amount of gas calorific value involved in the calculation based on the gas calorific value and flow rate; perform fee deduction management based on the gas price and the amount of gas calorific value involved in the calculation, and when the balance drops to the warning amount, send an insufficient balance alarm to the digital intelligence center service end and the user end APP, and when the balance drops to 0, cut off the valve at the industrial and commercial user's branch pipeline; The digital intelligence center service end is used to set the gas price and send the gas price to the industrial and commercial digital intelligence end; and receive industrial and commercial gas safety data and generate industrial and commercial gas alarm information based on the industrial and commercial gas safety data, and transmit the industrial and commercial gas alarm information to the cloud service end; The industrial and commercial digital intelligence terminal is used to receive the actual calorific value of the current natural gas collected by the gas calorific value detection device and the current natural gas flow collected by the gas flow meter, and calculate the amount of gas with calorific value involved in the calculation based on the actual calorific value and the current natural gas flow; perform fee deduction management based on the gas price and relative usage, and when the balance drops to the warning amount, send an insufficient balance alarm to the digital intelligence center service end and the user end APP, and when the balance drops to 0, cut off the valve at the natural gas pipeline; The user-side APP is used to send remote payment instructions, balance check instructions, and remote opening or closing of valves to the industrial and commercial digital intelligence terminal; The cloud service end is used to receive industrial and commercial gas alarm information, and synchronize the industrial and commercial gas alarm information to the user end APP and the digital intelligence center service end to notify industrial and commercial users and gas companies of the alarm information; The data acquisition module includes: an inlet pressure transmitter installed at the inlet of the branch pipeline and an outlet pressure transmitter installed at the outlet of the natural gas pipeline; The inlet pressure transmitter and the outlet pressure transmitter are hard-wired to the transfer explosion-proof box, and the transfer explosion-proof box is connected to the industrial and commercial digital intelligence terminal via 485 communication; The inlet pressure transmitter is used to collect the inlet pressure value at the inlet of the branch pipeline; when the inlet pressure value does not belong to the inlet safety range value, the inlet pressure value is sent to the industrial and commercial digital intelligence terminal; The outlet pressure transmitter is used to collect the outlet pressure value at the outlet of the branch pipeline; when the outlet pressure value does not fall within the outlet safety range value, the outlet pressure value is sent to the industrial and commercial digital intelligence terminal.

9. The industrial and commercial gas data processing system based on the Internet of Things and a single-chip microcomputer as claimed in claim 8, characterized in that: The data acquisition module includes: an inlet temperature transmitter installed at the inlet of the branch pipeline and an outlet temperature transmitter installed at the outlet of the branch pipeline; the inlet temperature transmitter and the outlet temperature transmitter are hard-wired to the transfer explosion-proof box, and the transfer explosion-proof box is connected to the industrial and commercial digital intelligence terminal through 485 communication; The inlet temperature transmitter is used to collect the inlet temperature value at the inlet of the branch pipeline in real time, and send the inlet temperature value to the industrial and commercial digital intelligence terminal; The outlet temperature transmitter is used to collect the outlet temperature value at the outlet of the branch pipeline in real time and send the outlet temperature value to the industrial and commercial digital intelligence terminal; The data acquisition module includes a gas leak detector, which is hard-wired to a transfer explosion-proof box, and the transfer explosion-proof box is connected to the industrial and commercial digital intelligence terminal via 485 communication; The gas leakage detector is used to collect gas leakage data. When the gas leakage data is greater than a preset leakage alarm value, the gas leakage data is sent to an industrial and commercial digital intelligence terminal.

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