Regional heat supply management system based on multi-terminal data analysis

Abstract

The invention discloses a regional heat supply management system based on multi-terminal data analysis, and belongs to the technical field of heat supply management. The heat supply management platform is in communication connection with a heat comprehensive data acquisition unit, a regional device heat risk assessment unit, an operation analysis unit, a safety judgment unit, a comprehensive assessment unit and a heat supply alarm processing unit; according to the method, the use data of the high-temperature ultrahigh-pressure circulating fluidized bed boiler are collected, external records and internal archived information are combined to carry out step-by-step analysis and processing together, comparison with a pre-stored threshold value in a heat supply management platform is carried out, a pipe damage risk coefficient and a maintenance signal are generated, the pipe damage risk coefficient provides management early warning, the risk trend is rapidly known, and the risk management efficiency is improved. Maintenance signals remind management personnel to handle abnormities in time through the heat supply alarm processing unit, heat supply stability and safety are guaranteed, maintenance is reminded through the heat supply alarm unit, and the operation efficiency of the boiler is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of heat supply management, and in particular to a regional heat supply management system based on multi-terminal data analysis. Background Art

[0002] With the acceleration of urbanization and the improvement of environmental protection requirements, district heating systems are facing more and more challenges. Traditional heating management methods often have problems such as inefficiency, waste of resources and environmental pollution. In order to overcome these difficulties, district heating management systems based on multi-terminal data analysis have emerged.

[0003] The regional heating is based on the amount of electricity generated by heat. Through centralized management, the only heat source can be effectively monitored and dispatched. During the construction, two 130t / h high-temperature and ultra-high-pressure circulating fluidized bed boilers and one 18MW extraction back-pressure steam turbine generator set are equipped to ensure that the region's recent heating needs are met. At the same time, the heating capacity can be further expanded according to time needs, and an appropriate number of 130t / h high-temperature and ultra-high-pressure circulating fluidized bed boilers and an appropriate number of extraction back-pressure steam turbine generator sets can be added.

[0004] In conjunction with the above content, it should be explained that: the Chinese patent with announcement number CN105783078A discloses a thermal energy regional heating control system and method thereof, which collects real-time data of each device, and displays and records the data. The thermal energy regional heating controller can automatically adjust and control the equipment according to the instructions of the upper thermal energy monitoring and management platform. When necessary, the boiler operator can manually operate any device through the thermal energy regional heating controller to improve the overall operating efficiency of the equipment unit and the heating system; however, the above patent content lacks analysis, evaluation and prediction of phased real-time data, which is not conducive to management personnel to quickly generate heating conditions based on multi-terminal data, resulting in low efficiency of overall heating management, heating operation risks and hidden dangers, and affecting the stability of high-temperature and ultra-high-pressure circulating fluidized bed boilers for overall regional heating. Summary of the invention

[0005] The purpose of the present invention is to provide a regional heating management system based on multi-terminal data analysis to solve the problems raised.

[0006] To achieve the above-mentioned object, the present invention provides the following technical solutions: a regional heating management system based on multi-terminal data analysis, comprising a heating management platform, wherein the heating management platform is communicatively connected with a thermal comprehensive data acquisition unit, a regional device thermal risk assessment unit, an operation analysis unit, a safety judgment unit, a comprehensive assessment unit and a heating alarm processing unit;

[0007] The thermal comprehensive data acquisition unit collects internal archive information and external record information of high-temperature and ultra-high-pressure circulating fluidized bed boilers in the heat collection management area according to the supervision instructions generated by the heat supply management platform. The internal archive information includes the damage assessment value and the damage management value, and the external record information protection includes the operating environment impact value and the component damage degree value. The internal archive information and the external record information are sent to the regional device thermal risk assessment unit and the operation analysis unit respectively;

[0008] After receiving the internal archive information, the regional device thermal risk assessment unit immediately analyzes the internal archive information to obtain the damage control risk coefficient, and sends the damage control risk coefficient R to the comprehensive assessment unit;

[0009] After receiving the external record information, the operation analysis unit immediately analyzes the external record information to obtain an external damage maintenance signal, and sends the external damage maintenance signal to the heating alarm processing unit;

[0010] After receiving the damage management risk coefficient R, the safety judgment unit analyzes the high-temperature and ultra-high-pressure circulating fluidized bed boiler maintenance value to generate a judgment evaluation coefficient Q, and sends the judgment evaluation coefficient Q to the comprehensive evaluation unit; the comprehensive evaluation unit compares the received judgment evaluation coefficient Q with the abnormal value SY, and generates a thermal management signal and an alarm signal and sends them to the heating alarm processing unit.

[0011] Furthermore, the regional device thermal risk assessment unit analyzes the internal archived information to obtain the damage management risk coefficient of the high-temperature and ultra-high-pressure circulating fluidized bed boiler. The damage management risk coefficient is obtained by extracting the damaged assessment value and the damaged management value of the high-temperature and ultra-high-pressure circulating fluidized bed boiler within the interception time threshold. The damaged assessment value is expressed as the damaged area value and the emergency management value of the high-temperature and ultra-high-pressure circulating fluidized bed boiler. The damaged area value and the emergency management value are marked as SH and YJ, respectively, and the damage management risk coefficient R is obtained according to the formula.

[0012] Furthermore, the operation analysis unit captures the operation environment impact value within the time threshold, and the operation environment impact value is represented by the range part of the regional environmental parameter whose corresponding value exceeds the preset threshold, and is the range value obtained by interval scaling processing of the range part of the regional environmental parameter corresponding to the value exceeding the preset threshold. The regional environmental parameters include the indoor and outdoor temperature difference value and the air flow rate value. The indoor and outdoor temperature difference value is represented by the peak value difference between the outdoor temperature and the indoor temperature in the heating area environment, and the air flow rate value is represented by the ratio of the alternating flow rate of the indoor area air and the outdoor air in the heating area.

[0013] Furthermore, the operation analysis unit again intercepts the component damage degree value within the time threshold. The component damage degree value is expressed as the range value obtained by scaling the data interval of the number of body cracks and the number of local high-temperature overflow points generated when the external connection components of the high-temperature and ultra-high-pressure circulating fluidized bed boiler are affected by temperature difference and continuous high temperature, and then the simplified range value is obtained by scaling the data interval with the component life loss value. The component life loss value is expressed as the service life range value of the component under high-temperature and high-pressure load operation in a normal state.

[0014] Furthermore, the operating environment impact value and the component damage degree value are compared with the preset operating environment impact value threshold and the preset component damage degree value threshold entered and stored in the heating management platform: if the operating environment impact value is less than the preset operating environment impact value threshold, and the component damage degree value is less than the preset component damage degree value threshold, no signal is generated; if the operating environment impact value is greater than or equal to the preset operating environment impact value threshold, and the component damage degree value is greater than or equal to the preset component damage degree value threshold, an external damage maintenance signal is generated.

[0015] Furthermore, the safety judgment unit intercepts the damage risk coefficient R of the high-temperature and ultra-high-pressure circulating fluidized bed boiler within the time threshold, the operating environment impact value and the component damage degree value in the operation analysis unit, and the maintenance value of the high-temperature and ultra-high-pressure circulating fluidized bed boiler. The maintenance value is expressed as the range value obtained after the data interval scaling processing of the number of maintenance times and the number of maintenance areas of the high-temperature and ultra-high-pressure circulating fluidized bed boiler within the time threshold. The operating environment impact value, the component damage degree value and the maintenance value are marked as YH, BS and WG respectively, and the judgment evaluation coefficient Q is obtained according to the formula.

[0016] Furthermore, the comprehensive assessment unit intercepts the usage parameter value of the high-temperature ultra-high-pressure circulating fluidized bed boiler within the time threshold, and compares and analyzes the usage parameter value with the preset usage parameter value threshold value stored in the heat supply management platform. If the usage parameter value is greater than the preset usage parameter value threshold value, the greater portion is marked as the heat source risk assessment value YX;

[0017] The usage status value of the high-temperature ultra-high-pressure circulating fluidized bed boiler within the interception time threshold is compared with the preset usage status value threshold recorded and stored in the heat supply management platform, and the part of the usage status value greater than the preset usage status value threshold is marked as the usage abnormal value SY, and the furnace change risk coefficient M is obtained by the formula, and the furnace change risk coefficient M is compared with the preset furnace change risk coefficient threshold recorded and stored in the heat supply management platform;

[0018] If the ratio between the furnace variation risk coefficient M and the preset furnace variation risk coefficient threshold is greater than or equal to 1, a thermal management signal is generated; if the ratio between the furnace variation risk coefficient M and the preset furnace variation risk coefficient threshold is less than 1, an alarm signal is generated.

[0019] The beneficial effects of the present invention are:

[0020] 1. The present invention collects data of a high-temperature and ultra-high-pressure circulating fluidized bed boiler during use, analyzes and processes the high-temperature and ultra-high-pressure circulating fluidized bed boiler step by step from the outside to the inside from the two perspectives of external recording information and internal archived information, and compares the data of each stage within the time threshold with the threshold pre-stored in the heating management platform. First, the internal archived information is linked to generate a damage management risk coefficient based on this, and based on the preliminary management warning of the supervisor, the current risk trend of the high-temperature and ultra-high-pressure circulating fluidized bed boiler is quickly understood. Secondly, the external recording information is linked to generate a damage maintenance signal, and the heating alarm processing unit reminds the management personnel to promptly deal with the abnormalities existing in the high-temperature and ultra-high-pressure circulating fluidized bed boiler at this stage to maintain the stability and safety of the overall regional heating.

[0021] 2. The present invention uses a safety judgment unit to conduct an in-depth analysis of the generated damage management risk coefficient in combination with the maintenance value of the high-temperature and ultra-high-pressure circulating fluidized bed boiler, explores the abnormalities of the high-temperature and ultra-high-pressure circulating fluidized bed boiler that have not yet appeared based on multi-terminal data, and combines the internal thresholds of the heating management platform for comparison and analysis to generate relevant judgment and evaluation coefficients. The comprehensive evaluation unit compares the received judgment and evaluation coefficients with the actual use parameters of the high-temperature and ultra-high-pressure circulating fluidized bed boiler, and conducts diversified collaborative analysis in combination with the thresholds within the heating management platform, and accordingly reminds the management personnel to handle and maintain in a timely manner through the heating alarm unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 It is a system flow diagram of the present invention;

[0024] Figure 2 This is a reference diagram for local analysis of the system of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] Example 1: Please refer to Figure 1 - Figure 2 As shown, this embodiment is a regional heating management system based on multi-terminal data analysis, including a heating management platform, which is communicatively connected to a thermal comprehensive data acquisition unit, a regional device thermal risk assessment unit, an operation analysis unit, a safety judgment unit, a comprehensive assessment unit and a heating alarm processing unit.

[0027] When the heat supply management platform generates a supervision instruction, the supervision instruction is sent to the heat comprehensive data acquisition unit. The heat comprehensive data acquisition unit collects the internal archive information and external record information of the high-temperature and ultra-high-pressure circulating fluidized bed boiler in the heat collection management area according to the supervision instruction generated by the heat supply management platform. The internal archive information includes the damage assessment value and the damage management value, and the external record information protection includes the operating environment impact value and the component damage degree value;

[0028] The internal archive information and the external record information are sent to the regional device thermal risk assessment unit and the operation analysis unit respectively. After receiving the internal archive information, the regional device thermal risk assessment unit immediately analyzes the internal archive information to obtain the damage control risk coefficient, and sends the damage control risk coefficient R to the comprehensive assessment unit.

[0029] The regional device thermal risk assessment unit analyzes the internal archived information to obtain the damage risk coefficient of the high-temperature and ultra-high-pressure circulating fluidized bed boiler. The damage risk coefficient is obtained by intercepting the damage assessment value and damage management value of the high-temperature and ultra-high-pressure circulating fluidized bed boiler within the time threshold. The time threshold is expressed as the duration between the start time and the end time of the high-temperature and ultra-high-pressure circulating fluidized bed boiler. The damage assessment value is expressed as the damaged area value and emergency management value of the high-temperature and ultra-high-pressure circulating fluidized bed boiler. The damaged area value and emergency management value are marked as SH and YJ, respectively.

[0030] According to the formula The damage control risk coefficient is obtained, where a1 and a2 are preset proportional factor coefficients of the damaged area value and the emergency management value respectively, a1 and a2 are both positive numbers greater than zero, a3 is the preset correction factor coefficient, and its value is 1.886, R is the damage control risk coefficient, and the size of the coefficient is a specific value obtained by quantifying each parameter to facilitate subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding coefficient for each group of sample data by technical personnel in this field, as long as it does not affect the proportional relationship between the parameter and the quantified value.

[0031] After receiving the external record information, the operation analysis unit immediately analyzes the external record information to obtain an external damage maintenance signal, and sends the external damage maintenance signal to the heating alarm processing unit. The operation analysis unit intercepts the operation environment impact value within the time threshold. The operation environment impact value is represented by the range part of the corresponding value in the regional environmental parameter that exceeds the preset threshold, and the range value obtained by the interval scaling processing of the range part corresponding to the preset threshold in the regional environmental parameter;

[0032] The regional environmental parameters include the internal and external temperature difference and the air flow rate. The internal and external temperature difference is expressed as the difference between the peak values ​​of the outdoor temperature and the indoor temperature in the heating area environment. The air flow rate is expressed as the ratio of the alternating flow rates of the indoor air and the outdoor air in the heating area. It should be noted that the larger the numerical value of the operating environment impact value, the higher the risk of high-temperature and ultra-high-pressure circulating fluidized bed boiler heating operation.

[0033] The operation analysis unit again intercepts the component damage degree value within the time threshold. The component damage degree value is expressed as the range value obtained by scaling the data interval of the number of body cracks and the number of local high-temperature overflow points generated by the external connection components of the high-temperature and ultra-high-pressure circulating fluidized bed boiler under the influence of temperature difference and continuous high temperature, and then the simplified range value obtained by scaling the data interval with the component life loss value. The component life loss value is expressed as the service life range value of the component under high-temperature and high-pressure load operation under normal conditions. It should be noted that the larger the value of the component damage degree value, the higher the risk of heating operation of the high-temperature and ultra-high-pressure circulating fluidized bed boiler.

[0034] The operating environment impact value and component damage degree value are compared with the preset operating environment impact value threshold and preset component damage degree value threshold stored in the heating management platform:

[0035] If the operating environment impact value is less than the preset operating environment impact value threshold, and the component damage degree value is less than the preset component damage degree value threshold, no signal is generated.

[0036] If the operating environment impact value is greater than or equal to the preset operating environment impact value threshold, and the component damage degree value is greater than or equal to the preset component damage degree value threshold, an external damage maintenance signal is generated, and the external damage maintenance signal is sent to the heating alarm processing unit. When the heating alarm processing unit receives the external damage maintenance signal, it is displayed on the display screen of the main control room in the text style of "area number *** / furnace external damage / external damage range *** / alarm level **". The supervisor quickly selects the corresponding processing plan option according to the preset emergency event processing plan within the heating management platform, and notifies the management personnel of the relevant areas accordingly, and quickly rushes to the scene to perform maintenance on the high-temperature and ultra-high-pressure circulating fluidized bed boiler that generates the external damage maintenance signal.

[0037] Embodiment 2: This embodiment is a regional heating management system based on multi-terminal data analysis. After receiving the damage risk coefficient R, the safety judgment unit analyzes the high-temperature and ultra-high-pressure circulating fluidized bed boiler maintenance value to generate a judgment evaluation coefficient Q, and sends the judgment evaluation coefficient Q to the comprehensive evaluation unit.

[0038] The safety judgment unit intercepts the damage risk coefficient R of the high-temperature and ultra-high-pressure circulating fluidized bed boiler within the time threshold, the operating environment impact value and the component damage degree value in the operation analysis unit, and the maintenance value of the high-temperature and ultra-high-pressure circulating fluidized bed boiler. The maintenance value is expressed as the range value obtained by scaling the number of maintenance times and the number of maintenance areas of the high-temperature and ultra-high-pressure circulating fluidized bed boiler within the time threshold. The number of maintenance areas is expressed as the separate area of ​​the damaged area of ​​the ultra-high-pressure circulating fluidized bed boiler that is processed and repaired one by one after planning. The operating environment impact value, the component damage degree value and the maintenance value are marked as YH, BS and WG respectively, and the judgment evaluation coefficient Q is obtained according to the formula;

[0039] According to the formula The judgment and evaluation coefficient Q is obtained, where b1, b2, b3 and b4 are preset weight factor coefficients of damage control risk coefficient, operating environment impact value, component damage degree value and maintenance value respectively, b1, b2, b3 and b4 are all positive numbers greater than zero, b5 is the preset fault tolerance factor coefficient, and its value is 2.182, Q is the operation impact assessment coefficient, and the judgment and evaluation coefficient Q is sent to the comprehensive evaluation unit.

[0040] The comprehensive evaluation unit compares the received judgment evaluation coefficient Q with the use abnormal value SY, and generates a heat management signal and an alarm signal and sends them to the heating alarm processing unit.

[0041] The comprehensive assessment unit captures the usage parameter value of the high-temperature and ultra-high-pressure circulating fluidized bed boiler within the time threshold. The usage parameter value indicates the number of values ​​corresponding to the heating information that exceed the preset threshold. The heating information includes steam temperature value and fuel input ratio value. The usage parameter value is compared and analyzed with the preset usage parameter value threshold entered and stored in the heating management platform. If the usage parameter value is greater than the preset usage parameter value threshold, the greater part is marked as the heat source risk assessment value YX. It should be noted that the larger the value of the heat source risk assessment value YX, the higher the heating operation risk of the high-temperature and ultra-high-pressure circulating fluidized bed boiler.

[0042] The usage status value of the high-temperature and ultra-high-pressure circulating fluidized bed boiler within the interception time threshold is expressed as the number of usage status parameters that exceed the preset threshold. The usage status parameters include energy consumption fluctuation value and emission range floating value. The usage status value is compared with the preset usage status value threshold entered and stored in the heating management platform. The part of the usage status value greater than the preset usage status value threshold is marked as the usage abnormality value SY, and the furnace change risk coefficient M is obtained by the formula. It should be noted that the larger the value of the furnace change risk coefficient M, the higher the heating operation risk of the high-temperature and ultra-high-pressure circulating fluidized bed boiler.

[0043] According to the formula The furnace change risk coefficient is obtained, where c1, c2 and c3 are the heat source risk assessment value, the use abnormal value and the preset influence factor coefficient of the abnormal value, respectively, c4 is the compensation factor coefficient, c1, c2, c3 and c4 are all positive numbers greater than zero, and M is the furnace change risk coefficient.

[0044] Compare the furnace change risk factor M with the preset furnace change risk factor threshold value stored in the heating management platform:

[0045] If the ratio between the furnace change risk coefficient M and the preset furnace change risk coefficient threshold is greater than or equal to 1, a thermal management signal is generated and sent to the heating alarm processing unit. When the heating alarm processing unit receives the thermal management signal, it is displayed on the display screen of the main control room in the text style of "Area Number *** / Thermal Management / Alarm Level **". The supervisor quickly selects the corresponding processing plan option according to the preset emergency event processing plan in the heating management platform, and notifies the managers of the relevant areas accordingly.

[0046] If the ratio between the furnace change risk coefficient M and the preset furnace change risk coefficient threshold is less than 1, an alarm signal is generated and sent to the heating alarm processing unit. When the heating alarm processing unit receives the alarm signal, it is displayed on the display screen of the main control room in the text style of "area number *** / abnormal alarm / alarm level **". The supervisor quickly selects the corresponding processing plan option according to the preset emergency event processing plan in the heating management platform, and notifies the management personnel of the relevant areas accordingly.

[0047] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0048] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above are only preferred specific implementations of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, make equivalent replacements or changes, which should be covered within the protection scope of the present invention.

Claims

1. A regional heating management system based on multi-terminal data analysis, including a heating management platform, characterized in that: The heating management platform is communicatively connected with a thermal comprehensive data acquisition unit, a regional device thermal risk assessment unit, an operation analysis unit, a safety judgment unit, a comprehensive assessment unit and a heating alarm processing unit; The thermal comprehensive data acquisition unit collects internal archive information and external record information of the high-temperature and ultra-high-pressure circulating fluidized bed boiler in the heat collection management area according to the supervision instructions generated by the heat supply management platform. The internal archive information includes the damage assessment value and the damage management value, and the external record information protection includes the operating environment impact value and the component damage degree value. The internal archive information and the external record information are sent to the regional device thermal risk assessment unit and the operation analysis unit respectively; After receiving the internal archive information, the regional device thermal risk assessment unit immediately analyzes the internal archive information to obtain the damage control risk coefficient, and sends the damage control risk coefficient R to the comprehensive assessment unit; After receiving the external record information, the operation analysis unit immediately analyzes the external record information to obtain an external damage maintenance signal, and sends the external damage maintenance signal to the heating alarm processing unit; After receiving the damage management risk coefficient R, the safety judgment unit analyzes the high-temperature and ultra-high-pressure circulating fluidized bed boiler maintenance value to generate a judgment evaluation coefficient Q, and sends the judgment evaluation coefficient Q to the comprehensive evaluation unit. The comprehensive evaluation unit compares the received judgment evaluation coefficient Q with the abnormal value SY, and generates a thermal management signal and an alarm signal and sends them to the heating alarm processing unit.

2. The regional heating management system based on multi-terminal data analysis according to claim 1 is characterized in that: The regional device thermal risk assessment unit analyzes the internal archived information to obtain the damage management risk coefficient of the high-temperature and ultra-high-pressure circulating fluidized bed boiler. The damage management risk coefficient is obtained by intercepting the damage assessment value and the damage management value of the high-temperature and ultra-high-pressure circulating fluidized bed boiler within a time threshold. The damage assessment value is expressed as the damaged area value and emergency management value of the high-temperature and ultra-high-pressure circulating fluidized bed boiler. The damaged area value and the emergency management value are marked as SH and YJ, respectively, and the damage management risk coefficient R is obtained according to the formula.

3. The regional heating management system based on multi-terminal data analysis according to claim 1 is characterized in that: The operation analysis unit captures the operation environment impact value within the time threshold, and the operation environment impact value is expressed as the range part of the regional environmental parameter whose corresponding value exceeds the preset threshold, and the range value obtained by interval scaling processing of the range part corresponding to the regional environmental parameter that exceeds the preset threshold. The regional environmental parameters include the internal and external temperature difference value and the air flow rate value. The internal and external temperature difference value is expressed as the difference between the peak values ​​of the outdoor temperature and the indoor temperature in the heating area environment, and the air flow rate value is expressed as the ratio of the alternating flow rates of the indoor area air and the outdoor air in the heating area.

4. The regional heating management system based on multi-terminal data analysis according to claim 3 is characterized in that: The operation analysis unit again intercepts the component damage degree value within the time threshold. The component damage degree value is expressed as the range value obtained by scaling the data interval of the number of body cracks and the number of local high-temperature overflow points generated when the external connection components of the high-temperature and ultra-high-pressure circulating fluidized bed boiler are affected by temperature difference and continuous high temperature, and then the simplified range value obtained by scaling the data interval with the component life loss value. The component life loss value is expressed as the service life range value of the component under high-temperature and high-pressure load operation in a normal state.

5. The regional heating management system based on multi-terminal data analysis according to claim 4 is characterized in that: The operating environment impact value and component damage degree value are compared with the preset operating environment impact value threshold and the preset component damage degree value threshold entered and stored in the heating management platform: if the operating environment impact value is less than the preset operating environment impact value threshold, and the component damage degree value is less than the preset component damage degree value threshold, no signal is generated; if the operating environment impact value is greater than or equal to the preset operating environment impact value threshold, and the component damage degree value is greater than or equal to the preset component damage degree value threshold, an external damage maintenance signal is generated.

6. The regional heating management system based on multi-terminal data analysis according to claim 1, characterized in that: The safety judgment unit intercepts the damage risk coefficient R of the high-temperature and ultra-high-pressure circulating fluidized bed boiler within the time threshold, the operating environment impact value and the component damage degree value in the operation analysis unit, and the maintenance value of the high-temperature and ultra-high-pressure circulating fluidized bed boiler. The maintenance value is expressed as the range value obtained after the data interval scaling processing of the number of maintenance times and the number of maintenance areas of the high-temperature and ultra-high-pressure circulating fluidized bed boiler within the time threshold. The operating environment impact value, the component damage degree value and the maintenance value are marked as YH, BS and WG respectively, and the judgment evaluation coefficient Q is obtained according to the formula.

7. The regional heating management system based on multi-terminal data analysis according to claim 1, characterized in that: The comprehensive assessment unit intercepts the usage parameter value of the high-temperature ultra-high-pressure circulating fluidized bed boiler within the time threshold, compares and analyzes the usage parameter value with the preset usage parameter value threshold value stored in the heat supply management platform, and if the usage parameter value is greater than the preset usage parameter value threshold value, the greater portion is marked as the heat source risk assessment value YX; The usage status value of the high-temperature ultra-high-pressure circulating fluidized bed boiler within the interception time threshold is compared with the preset usage status value threshold recorded and stored in the heat supply management platform, and the part of the usage status value greater than the preset usage status value threshold is marked as the usage abnormal value SY, and the furnace change risk coefficient M is obtained by the formula, and the furnace change risk coefficient M is compared with the preset furnace change risk coefficient threshold recorded and stored in the heat supply management platform; If the ratio between the furnace variation risk coefficient M and the preset furnace variation risk coefficient threshold is greater than or equal to 1, a thermal management signal is generated; if the ratio between the furnace variation risk coefficient M and the preset furnace variation risk coefficient threshold is less than 1, an alarm signal is generated.

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