Green remote waste heat recovery and heat supply management system based on Internet of Things

Abstract

The invention belongs to the technical field of waste heat recovery and heat supply, and particularly relates to a green remote waste heat recovery and heat supply management system based on the Internet of Things. Comprising an industrial waste heat environment-friendly recovery module, a data acquisition module, a data analysis and quantification module, an intelligent management and control module, a remote alarm module and a remote heat supply integrated management system which is in communication connection with all the modules. The invention provides an industrial green and environment-friendly waste heat recovery, waste heat efficient heat exchange and internet-of-things comprehensive real-time monitoring management system, a dual mode of a new green heat supply system and intelligent operation and maintenance service is created, and a new heat supply way is provided after waste heat is turned into wealth while emission reduction is achieved. And a zero-carbon thermal heating mode is realized. Secondary pollution is effectively reduced, the enterprise pollution discharge and heating cost is reduced, and the later operation and maintenance cost is reduced; contributions are made to sustainable energy utilization and environmental protection; and the environmental protection and energy industry is promoted to stride towards a more intelligent, more efficient and greener direction, and highly intelligent management control is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of waste heat recovery for heating, and particularly relates to a green remote waste heat recovery and heating management system based on the Internet of Things. Background Art

[0002] The traditional boiler heating method using fossil fuels not only consumes a large amount of energy but also seriously pollutes the environment. With the rapid development of China's industrialization process, the emissions of industrial waste gases in some industries such as chemical, steel, and power are gradually increasing. These waste gases contain a large amount of particulate matter and heat energy, and the emissions of these waste gases cause certain pollution to the environment. According to different concentrations, calorific values, etc., industrial waste heat can be divided into high, medium, and low grades; currently, the first two are mostly used for waste heat recovery power generation with relatively high utilization efficiency; low-grade waste heat, however, is often discharged as "waste heat" due to its difficult utilization. With the promotion of the "carbon neutrality" and "carbon peak" policies and the improvement of environmental protection awareness, the market has an urgent need for heating technologies with low energy consumption, no secondary pollution, low cost, and high efficiency. Based on this, industrial waste heat has the opportunity to "turn waste into treasure". Currently, low and medium-grade waste heat in existing technologies can also be recovered, but generally only through simple recovery and utilization, without intelligent and efficient management and monitoring. Summary of the Invention

[0003] The present invention provides a green remote waste heat recovery and heating management system based on the Internet of Things, which can solve the problems pointed out in the background art.

[0004] A green remote waste heat recovery and heating management system based on the Internet of Things includes an industrial waste heat green environmental protection recovery module, a data acquisition module, a data analysis and quantification module, an intelligent control module, a remote alarm module, and a remote heating integrated management system that is communicatively connected to each of the above modules; The industrial waste heat green environmental protection recovery module includes an industrial waste gas dust removal unit, a heat exchange unit, a circulation pump unit, and a safety equipment unit; The data acquisition module is used to collect the required data parameters in the industrial waste heat heat exchange process in real time, and transmit the collected data to the data analysis and quantification module for data analysis, processing, and presentation. It includes a flue gas outlet temperature data acquisition unit, a water outlet temperature data acquisition unit, a flue gas inlet temperature data acquisition unit, a flue gas outlet pressure data acquisition unit, a flue gas inlet pressure data acquisition unit, an inlet and outlet medium mass flow data acquisition unit, a specific heat capacity data acquisition unit under constant pressure conditions, a heat exchanger tube number data acquisition unit, a flue gas fluid velocity data acquisition unit, and a water fluid velocity data acquisition unit; The data analysis and quantification module analyzes and quantifies the data collected by the data collection module into the waste heat conversion rate per unit time of the heat exchange unit, and pushes the waste heat conversion rate per unit time of the heat exchange unit to the rule engine module in the intelligent control module as one of the determination conditions for the warning points; The specific analysis process of the waste heat conversion rate per unit time of the heat exchange unit in the data analysis and quantification module is as follows: Set a certain heat exchange unit as the target unit. Within the specified unit time, use each acquisition unit to collect data of each point of the target device during the monitoring period, and based on the supplied data, use the first formula to calculate the waste heat conversion rate E per unit time of the target heat exchange unit:

[0005] Where: T a is the flue gas outlet temperature of the target heat exchange unit; T b is the water outlet temperature of the target heat exchange unit; T c is the flue gas inlet temperature of the target heat exchange unit; P i is the flue gas outlet pressure of the target heat exchange unit; P f is the flue gas inlet pressure of the target heat exchange unit; Δt is the mass flow rate of the inlet and outlet media of the target heat exchange unit; d is the specific heat capacity of the target heat exchange unit under constant pressure, indicating the heat required for a unit mass of substance to increase the temperature by 1K; n is the number of tubes of the heat exchanger of the target heat exchange unit; V1 is the flue gas fluid velocity of the target heat exchange unit; V2 is the water fluid velocity of the target heat exchange unit; is the fouling blockage correction factor of the target heat exchange unit; Δ w is the correction value of the power consumption of the target heat exchange unit; According to the calculated waste heat conversion rate E per unit time of the target heat exchange unit, design the waste heat conversion rate rule engine, and then obtain a complete set of scoring criteria; the specific scoring criteria are as follows: When the conversion rate E < 35%, the warning level is level one, and it is rated as abnormal sampling; When the conversion rate E is between 35% and 50%, the warning level is level two, and it is rated as strongly abnormal; When the conversion rate E is between 50% and 80%, the warning level is level three, and it is rated as weakly abnormal; When the conversion rate E is between 80% and 90%, the alarm level is level four, and it is rated as weakly secure; When the conversion rate E is greater than 90%, the alarm level is level five, and it is rated as strongly secure; Through the above scoring criteria, the traceability results of the industrial waste heat green remote heating system include one of the following: strongly secure, weakly secure, strongly abnormal, weakly abnormal, sampling abnormal; The intelligent control module includes an equipment configuration unit, an equipment management unit, a 3D model unit, an energy consumption analysis unit, and a remote video monitoring unit; the equipment configuration unit is used to visually display the data of the data acquisition module and monitor the system operation status in real time; the equipment management unit manages each pumping station, circulation pump, heat exchange unit, main engine, and equipment in the machine room in terms of project management, effectively allocates management, checks personnel, ensures that each user can only access and operate the equipment data within the permission, and realizes remote real-time control; the 3D model unit models the three-dimensional technological process of the heating system. The 3D model unit combines the data acquisition module and the data analysis and quantification module to comprehensively display and monitor the equipment parameters; the energy consumption analysis unit is used for multi-dimensional system analysis of energy consumption; the remote video monitoring unit combines the video monitoring module to summarize the real-time monitoring data of all heat exchange stations on the same video control page and reproduce the operation status of the pumping station in cooperation with the configuration function; The rule engine module uses a rule designer to design a rule engine. The remote alarm module is connected to the rule engine module. The process is as follows: The MQTT protocol is used for data transmission, and then the MQTT data is processed. The required points are sorted out for customized rule design. Customized alarm conditions: temperature, pressure, liquid level. Rules are set for the points for conditions, thresholds, conversion rates, alarm levels, delays, whether to manually alarm, and recovery methods. After data integration and judgment, delayed execution, recovery of alarms, and obtaining the latest values are used for the final decision. Finally, the data is transmitted using the HTTP listening method to determine the request to recover the alarm and send a remote alarm.

[0006] Preferably, the industrial waste gas dust removal unit includes primary hair filtration and dust removal filtration, which is used to remove particulate matter in industrial waste gas to prevent it from entering the subsequent heat exchange unit; the heat exchange unit adopts secondary heat exchange, including a primary heat exchanger and a secondary heat exchanger. When the flue gas passes through the primary heat exchanger, the high-temperature flue gas exchanges heat with the working medium to realize energy recovery. The secondary heat exchanger is used for secondary energy recovery to improve the recovery rate; the circulating pump unit maintains the temperature and pressure in the pipeline to avoid process deviation caused by changes in pipeline parameters, thereby improving the process efficiency, circulating and transporting waste gas and converted energy, and reducing energy consumption; the safety equipment unit includes a constant pressure water supply unit, an explosion-proof water tank unit, and a softened water filter unit.

[0007] Preferably, the data acquisition module, data analysis and quantification module, intelligent management and control module and remote heating integrated management system are all communicatively connected to the mobile terminal.

[0008] Beneficial effects: The present invention provides a green remote waste heat recovery and heat supply management system based on the Internet of Things, which has the following beneficial effects: 1. The present invention provides a management system of industrial green and environmentally friendly waste heat recovery + waste heat efficient heat exchange + comprehensive real-time monitoring by the Internet of Things, creating a dual mode of green heating new system + intelligent operation and maintenance service, while achieving emission reduction, and providing a new way of heating after the waste heat is "turned into treasure". A zero-carbon thermal heating method is achieved. It effectively reduces secondary pollution, reduces the cost of pollution discharge and heating for enterprises, and reduces the cost of later operation and maintenance; it also contributes to sustainable energy utilization and environmental protection; and promotes the environmental protection and energy industries to move towards a smarter, more efficient and greener direction.

[0009] 2. The present invention uses the data analysis preprocessing module in combination with the data collected by the data acquisition module to analyze and quantify the conversion efficiency. According to the conversion rate results, many factors such as heat exchange area, fluid flow rate, temperature difference, fluid properties, ambient temperature difference, dirt interference, etc. are analyzed, so as to control each factor at the optimal value, thereby improving the waste heat exchange efficiency.

[0010] 3. The present invention uses technologies such as intelligent perception, remote control, data analysis and visualization to monitor and analyze the entire life cycle of waste heat conversion to heating in real time; by intelligently adjusting the operating parameters of the heating equipment, the system minimizes energy waste without affecting user comfort; and optimizes the overall heating operation efficiency.

[0011] 4. The present invention adopts a designed customized rule engine, combined with the scoring results obtained from the waste heat conversion rate of the heat exchange unit per unit time in the data preprocessing module. The remote alarm module performs different types of alarm processing in various ways for each unit and each point according to different levels of scores. The alarm can be processed manually or automatically, and remote alarm can be realized to capture abnormal conditions of faulty equipment or pipeline status in time, thereby reducing economic losses caused by equipment maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 is a logical schematic diagram of the present invention, Figure 2 is a schematic diagram of the data collection process of the present invention, Figure 3 This is a schematic diagram of the data heat exchange heating process of the present invention. Description of reference numerals: Reference numerals in the figure: Industrial waste heat green environmental protection recovery module 1; Data acquisition module 2; Data analysis and quantification module 3; Intelligent control module 4; Rule engine module 41; Remote alarm module 5; Remote heating integrated management system 6; Mobile terminal 7. Specific embodiments

[0013] The following combines the accompanying drawings to describe in detail a specific embodiment of the present invention, but it should be understood that the protection scope of the present invention is not limited by the specific embodiment.

[0014] Example: As Figures 1 - 3 shown, a green remote waste heat recovery and heating management system based on the Internet of Things provided by an embodiment of the present invention, a green remote waste heat recovery and heating management system based on the Internet of Things, includes an industrial waste heat green environmental protection recovery module 1, a data acquisition module 2, a data analysis and quantification module 3, an intelligent control module 4, a remote alarm module 5, and a remote heating integrated management system 6 that is communicatively connected to each of the above modules; Specifically combined with Figure 3 shown, the industrial waste heat green environmental protection recovery module 1 includes an industrial waste gas dust removal unit, a heat exchange unit, a circulating pump unit, and a safety equipment unit; specifically, the industrial waste gas dust removal unit includes a hair primary filter and a dust removal filter, which are used to remove particulate matter in the industrial waste gas to prevent it from entering the subsequent heat exchange unit; the heat exchange unit adopts secondary heat exchange, including a primary heat exchanger and a secondary heat exchanger. When the flue gas passes through the primary heat exchanger, the high-temperature flue gas exchanges heat with the working medium to achieve energy recovery, and the secondary heat exchanger is used for secondary energy recovery to improve the recovery rate; the circulating pump unit maintains the temperature and pressure in the pipeline to avoid process deviations caused by changes in the pipeline parameters, thereby improving the process efficiency, circulating and transporting waste gas and converted energy, and reducing energy consumption; the safety equipment unit includes a constant pressure water supply unit, an explosion-proof water tank unit, and a softened water filter unit.

[0015] The data acquisition module 2 is used to collect the required data parameters in the industrial waste heat heat exchange process in real time, and transmit the collected data to the data analysis and quantification module 3 for data analysis, processing, and presentation. It includes a flue gas outlet temperature data acquisition unit, a water outlet temperature data acquisition unit, a flue gas inlet temperature data acquisition unit, a flue gas outlet pressure data acquisition unit, a flue gas inlet pressure data acquisition unit, an inlet and outlet medium mass flow data acquisition unit, a specific heat capacity data acquisition unit under constant pressure conditions, a heat exchanger tube number data acquisition unit, a flue gas fluid velocity data acquisition unit, and a water fluid velocity data acquisition unit; The data analysis and quantification module 3 analyzes and quantifies the data collected by the data acquisition module 2 into the waste heat conversion rate per unit time of the heat exchange unit, and pushes the waste heat conversion rate per unit time of the heat exchange unit to the rule engine module 41 in the intelligent control module 4 as one of the determination conditions for the alarm points; The specific analysis process of the waste heat conversion rate per unit time of the heat exchange unit in the data analysis and quantification module 3 is as follows: Set a certain heat exchange unit as the target unit. Within the specified unit time (such as taking 1 day as the target unit time), use each acquisition unit to collect data of each point of the target device during the monitoring period, and calculate the waste heat conversion rate E per unit time of the target heat exchange unit based on the supply data using the first formula:

[0016] Among them: T a is the flue gas outlet temperature of the target heat exchange unit; T b is the water outlet temperature of the target heat exchange unit; T c is the flue gas inlet temperature of the target heat exchange unit; P i is the flue gas outlet pressure of the target heat exchange unit; P f is the flue gas inlet pressure of the target heat exchange unit; Δt is the mass flow rate of the inlet and outlet media of the target heat exchange unit; d is the specific heat capacity of the target heat exchange unit under constant pressure, indicating the heat required for a unit mass of substance to increase the temperature by 1k; n is the number of tubes of the heat exchanger of the target heat exchange unit; V1 is the flue gas fluid velocity of the target heat exchange unit; V2 is the water fluid velocity of the target heat exchange unit; is the fouling blockage correction factor of the target heat exchange unit; Δ w is the consumption power correction value of the target heat exchange unit; According to the calculated waste heat conversion rate E per unit time of the target heat exchange unit, design the waste heat conversion rate rule engine, and then obtain a complete set of scoring criteria; the specific scoring criteria are as follows: When the conversion rate E < 35%, the alarm level is level one, and it is rated as abnormal sampling; When the conversion rate E is between 35% and 50%, the alarm level is level two, and it is rated as strongly abnormal; When the conversion rate E is between 50% and 80%, the alarm level is level three, and it is rated as weakly abnormal; When the conversion rate E is between 80% and 90%, the warning level is level four, and it is rated as weakly safe; When the conversion rate E is greater than 90%, the warning level is level five, and it is rated as strongly safe; The obtained scores are as follows: When the flue gas outlet temperature T of the target heat exchange unit a is 38.9 °C; the water outlet temperature T of the target heat exchange unit b is 35.9 °C; the flue gas inlet temperature T of the target heat exchange unit c is 204 °C; the flue gas outlet pressure P of the target heat exchange unit i is 0.028 Pa; the flue gas inlet pressure P of the target heat exchange unit f is 0.23 kPa; the number of tubes n of the heat exchanger in the target heat exchange unit is 12; the flue gas fluid velocity V1 of the target heat exchange unit is 6.3 m / s; the water fluid velocity V2 of the target heat exchange unit is 3 m / s; the waste heat conversion rate E per unit time of the obtained target heat exchange unit is 30%, and the obtained scoring result is weakly safe.

[0017] When the flue gas outlet temperature T of the target heat exchange unit a is 45 °C; the water outlet temperature T of the target heat exchange unit b is 42.7 °C; the flue gas inlet temperature T of the target heat exchange unit c is 289 °C; the flue gas outlet pressure P of the target heat exchange unit i is 0.033 Pa; the flue gas inlet pressure P of the target heat exchange unit f is 0.3 kPa; the number of tubes n of the heat exchanger in the target heat exchange unit is 16; the flue gas fluid velocity V1 of the target heat exchange unit is 2.1 m / s; the water fluid velocity V2 of the target heat exchange unit is 1.8 m / s; the waste heat conversion rate E per unit time of the obtained target heat exchange unit is 30%, and the obtained scoring result is strongly safe.

[0018] When the flue gas outlet temperature T of the target heat exchange unit a is 56.6 °C; the water outlet temperature T of the target heat exchange unit b is 38.5 °C; the flue gas inlet temperature T of the target heat exchange unit c is 216.3 °C; the flue gas outlet pressure P of the target heat exchange unit i is 0.035 Pa; the flue gas inlet pressure P of the target heat exchange unit f is 0.41 kPa; the number of tubes n of the heat exchanger in the target heat exchange unit is 22; the flue gas fluid velocity V1 of the target heat exchange unit is 3.5 m / s; the water fluid velocity V2 of the target heat exchange unit is 2.9 m / s; the waste heat conversion rate E per unit time of the obtained target heat exchange unit is 30%, and the obtained scoring result is weakly abnormal.

[0019] When the flue gas outlet temperature T of the target heat exchange unit ais 61.3°C; the water outlet temperature T of the target heat exchange unit b is 50.2°C; the flue gas inlet temperature T of the target heat exchange unit c is 337.1°C; the flue gas outlet pressure P of the target heat exchange unit i is 0.03 Pa; the flue gas inlet pressure P of the target heat exchange unit f is 0.17 kPa; the number of tubes n of the heat exchanger of the target heat exchange unit is 18; the flue gas fluid velocity V1 of the target heat exchange unit is 7.3 m / s; the water fluid velocity V2 of the target heat exchange unit is 6.2 m / s; the waste heat conversion rate E per unit time of the target heat exchange unit obtained is 30%, and the obtained scoring result is strong safety.

[0020] When the flue gas outlet temperature T of the target heat exchange unit a is 98.5°C; the water outlet temperature T of the target heat exchange unit b is 43.8°C; the flue gas inlet temperature T of the target heat exchange unit c is 263.2°C; the flue gas outlet pressure P of the target heat exchange unit i is 6.02 Pa; the flue gas inlet pressure P of the target heat exchange unit f is 0.26 kPa; the number of tubes n of the heat exchanger of the target heat exchange unit is 10; the flue gas fluid velocity V1 of the target heat exchange unit is 4 m / s; the water fluid velocity V2 of the target heat exchange unit is 3.3 m / s; the waste heat conversion rate E per unit time of the target heat exchange unit obtained is 30%, and the obtained scoring result is abnormal sampling.

[0021] Through the above scoring criteria, the traceability results of the industrial waste heat green remote heating system include one of the following: strong safety, weak safety, strong anomaly, weak anomaly, sampling anomaly; The intelligent control module 4 includes an equipment configuration unit, an equipment management unit, a 3D model unit, an energy consumption analysis unit, and a remote video monitoring unit; the equipment configuration unit is used to visually display the data of the data acquisition module 2 and monitor the system operation status in real time; the equipment management unit manages each pumping station, circulating pump, heat exchange unit, host, and equipment in the machine room with project management, effectively allocates management, and checks personnel to ensure that each user can only access and operate the equipment data within the permission, realizing remote real-time control; the 3D model unit models the three-dimensional technological process of the heating system. The 3D model unit combines the data acquisition module 2 and the data analysis and quantification module 3 to comprehensively display and monitor the equipment parameters; the energy consumption analysis unit is used for multi-dimensional system analysis of energy consumption; the remote video monitoring unit combines the video monitoring module to summarize the real-time monitoring data of all heat exchange stations on the same video control page and reproduce the actual operation of the pumping station in cooperation with the configuration function; The rule engine module 41 designs a rule engine using a rule designer. The remote alarm module 5 is connected to the rule engine module 41. The process is as follows: The MQTT protocol is used for data transmission, and then the MQTT data is processed to sort out the required points for customized rule design, and customized alarm conditions are set, such as temperature, pressure, liquid level, etc. For the points, rules are set for conditions, thresholds, conversion rates, alarm levels, delays, whether to manually alarm, and recovery methods. After data integration and judgment, delayed execution, recovery of alarms, and obtaining the latest values are used for the final decision. For the above implementation cases, the following alarm rules are configured: For the flue gas outlet temperature point: the condition is greater than, the threshold is 5, the delay is 0 seconds, and the alarm level is first level; for the flue gas inlet temperature point: the condition is greater than, the threshold is 8, the delay is 3 seconds, and the alarm level is second level; for the water outlet temperature point: the condition is greater than, the threshold is 10, the delay is 3 seconds, and the alarm level is third level; for the flue gas inlet pressure point: the condition is less than, the threshold is 20, the delay is 0 seconds, and the alarm level is first level; for the flue gas outlet pressure point: the condition is greater than, the threshold is 15, the delay is 5 seconds, and the alarm level is first level; for the water fluid point: the condition is greater than, the threshold is 5, the delay is 0 seconds, and the alarm level is second level; for the flue gas fluid point: the condition is greater than, the threshold is 5, the delay is 3 seconds, and the alarm level is first level; for the inlet and outlet medium mass flow point: the condition is less than, the threshold is 50, the delay is 10 seconds, and the alarm level is first level; Using the listening HTTP method to transmit data to determine whether to request alarm recovery or send a remote alarm. The alarm method can be manual or automatic, and can achieve SMS, WeChat remote alarm, specific scenario alarm, device-triggered alarm, status-triggered alarm. Multiple alarm rules and scenario linkages can be added to the same alarm configuration at the same time. After configuring the rules on the rule engine page, the platform will constantly monitor the scenario-triggered rules, and when the trigger conditions are met, the platform will execute the actions preset by the user. Timely capture the abnormal changes in the status of faulty equipment or pipe networks, and reduce the economic losses caused by equipment maintenance. In addition, combined with maintenance records, the maintenance of equipment can be viewed in real time, making the work traceable and easy to manage.

[0022] Specifically, the data acquisition module 2, the data analysis and quantification module 3, the intelligent control module 4, and the remote heating integrated management system 6 are all communicatively connected to the mobile terminal 7.

[0023] The above-disclosed are only several specific embodiments of the present invention. However, the embodiments of the present invention are not limited thereto, and any changes that can be thought of by those skilled in the art should fall within the protection scope of the present invention.

Claims

1. A green remote waste heat recovery and heating management system based on the Internet of Things, characterized in that: It includes an industrial waste heat green environmental protection recovery module (1), a data acquisition module (2), a data analysis and quantification module (3), an intelligent control module (4), a remote alarm module (5), and a remote heating integrated management system (6) that is communicatively connected to each of the above modules; The industrial waste heat green environmental protection recovery module (1) includes an industrial waste gas dust removal unit, a heat exchange unit, a circulation pump unit, and a safety equipment unit; The data acquisition module (2) is used to collect the required data parameters during the industrial waste heat heat exchange process in real time, and transmit the collected data to the data analysis and quantification module (3) for data analysis, processing, and presentation. It includes a flue gas outlet temperature data acquisition unit, a water outlet temperature data acquisition unit, a flue gas inlet temperature data acquisition unit, a flue gas outlet pressure data acquisition unit, a flue gas inlet pressure data acquisition unit, an inlet and outlet medium mass flow data acquisition unit, a specific heat capacity data acquisition unit under constant pressure conditions, a heat exchanger tube number data acquisition unit, a flue gas fluid velocity data acquisition unit, and a water fluid velocity data acquisition unit; The data analysis and quantification module (3) analyzes the data collected by the data acquisition module (2) and quantifies it into the waste heat conversion rate per unit time of the heat exchange unit, and pushes the waste heat conversion rate per unit time of the heat exchange unit to the rule engine module (41) in the intelligent control module (4) as one of the determination conditions for the alarm point; The specific analysis process of the waste heat conversion rate per unit time of the heat exchange unit in the data analysis and quantification module (3) is as follows: Set a certain heat exchange unit as the target unit. Within the specified unit time, use each acquisition unit to collect data of each point of the target device during the monitoring period. Based on the supplied data, use the first formula to calculate the waste heat conversion rate E per unit time of the target heat exchange unit: ； Where: T a is the flue gas outlet temperature of the target heat exchange unit; T b is the water outlet temperature of the target heat exchange unit; T c is the flue gas inlet temperature of the target heat exchange unit; P i is the flue gas outlet pressure of the target heat exchange unit; P f is the flue gas inlet pressure of the target heat exchange unit; Δt is the mass flow of the inlet and outlet medium of the target heat exchange unit; d is the specific heat capacity of the target heat exchange unit under constant pressure conditions, indicating the heat required for a unit mass of substance to increase the temperature by 1k; n is the number of tubes of the heat exchanger of the target heat exchange unit; V1 is the flue gas fluid velocity of the target heat exchange unit; V2 is the water fluid velocity of the target heat exchange unit; is the fouling blockage correction factor for the target heat exchange unit; Δ w is the correction value of the power consumed by the target heat exchange unit; According to the calculated waste heat conversion rate E per unit time of the target heat exchange unit, design a waste heat conversion rate rule engine, and then obtain a complete set of scoring criteria; The specific scoring criteria are as follows: When the conversion rate E < 35%, the alarm level is level one, and it is rated as abnormal sampling; When the conversion rate E is between 35% and 50%, the alarm level is level two, and it is rated as strongly abnormal; When the conversion rate E is between 50% and 80%, the alarm level is level three, and it is rated as weakly abnormal; When the conversion rate E is between 80% and 90%, the alarm level is level four, and it is rated as weakly safe; When the conversion rate E > 90%, the alarm level is level five, and it is rated as strongly safe; Through the above scoring criteria, the traceability results of the industrial waste heat green remote heating system include one of the following: strongly safe, weakly safe, strongly abnormal, weakly abnormal, sampling abnormal; The intelligent control module (4) includes a device configuration unit, a device management unit, a 3D model unit, an energy consumption analysis unit, and a remote video monitoring unit; the device configuration unit is used to visually display the data of the data acquisition module (2) and monitor the real-time operation status of the system; the device management unit manages each pumping station, circulating pump, heat exchange unit, main engine, and equipment in the machine room in a project management manner, effectively allocates management, checks personnel, ensures that each user can only access and operate the device data within the permission, and realizes remote real-time control; the 3D model unit models the three-dimensional technological process of the heating system. The 3D model unit combines the data acquisition module (2) and the data analysis and quantification module (3) to comprehensively display and monitor the device parameters; the energy consumption analysis unit is used for multi-dimensional system analysis of energy consumption; the remote video monitoring unit combines the video monitoring module to summarize the real-time monitoring data of all heat exchange stations on the same video control page, and reproduces the actual operation of the pumping station in cooperation with the configuration function. The rule engine module (41) designs a rule engine using a rule designer. The remote alarm module (5) is connected to the rule engine module (41). The process is as follows: The MQTT protocol is used for data transmission, and then the MQTT data is processed. The required points are sorted out for customized rule design, and alarm conditions are customized: temperature, pressure, and liquid level. Rules are set for the points regarding conditions, thresholds, conversion rates, alarm levels, delays, whether to manually alarm, and recovery methods. After data integration and judgment, delayed execution, recovery of alarms, and obtaining the latest values are used for the final decision. Finally, data is transmitted using the HTTP listening method to determine the request to recover the alarm and send a remote alarm.

2. The green remote waste heat recovery and heating management system based on the Internet of Things according to claim 1, characterized in that: The industrial waste gas dust removal unit includes primary hair filtration and dust removal filtration, which is used to remove particulate matter in industrial waste gas and prevent it from entering the subsequent heat exchange unit; the heat exchange unit adopts secondary heat exchange, including a primary heat exchanger and a secondary heat exchanger. When the flue gas passes through the primary heat exchanger, the high-temperature flue gas exchanges heat with the working medium to achieve energy recovery. The secondary heat exchanger is used for secondary energy recovery to improve the recovery rate; the circulating pump unit maintains the temperature and pressure in the pipeline to avoid process deviations caused by changes in pipeline parameters, thereby improving the process efficiency, circulating and transporting waste gas and converted energy, and reducing energy consumption; the safety equipment unit includes a constant pressure water supply unit, an explosion-proof water tank unit, and a softened water filter unit.

3. A green remote waste heat recovery and heating management system based on the Internet of Things according to any one of claims 1-2, characterized in that: The data acquisition module (2), the data analysis and quantification module (3), the intelligent control module (4), and the remote heating integrated management system (6) are all communicatively connected to the mobile terminal (7).

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