Compressor multi-dimensional detection comprehensive evaluation data processing method and system

By combining sensor networks and priority rules, the valves and pump speeds of the heat exchange system are dynamically adjusted, solving the problem of rigid control in the waste heat recovery system and achieving efficient waste heat utilization and heating stability.

CN120487588BActive Publication Date: 2025-11-28CYRUI (BEIJING) NEW ENERGY ENVIRONMENTAL PROTECTION TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510863261.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-25
Publication Date
2025-11-28
Estimated Expiration
2045-06-25

AI Technical Summary

Technical Problem

Existing waste heat recovery systems lack the ability to comprehensively analyze multi-source data, have rigid control logic, and cannot adjust waste heat recovery strategies according to real-time operating conditions, resulting in low waste heat utilization and insufficient heating stability.

Method used

By collecting multi-source data in real time through a sensor network and generating control commands based on preset priority rules, the system dynamically adjusts the heat exchange bypass valve, the speed of the circulating pump, and the status of the heat storage unit to achieve dynamic matching between waste heat recovery and heating demand.

Benefits of technology

It significantly improves waste heat utilization to over 70%, optimizes indoor temperature fluctuation range to ≤±1℃, improves system response speed, and solves the rigid control problem of traditional systems.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the technical field of digital data processing, in particular to a compressor multi-dimensional detection comprehensive evaluation data processing method and system, which comprises the following steps: collecting multi-source data in real time through a sensor network, wherein the multi-source data comprises an environment temperature signal, a compressor cylinder cooling water temperature signal, a power exhaust temperature signal, a user end heating temperature signal and a circulating pipeline flow signal; transmitting the multi-source data to an intelligent controller; judging a waste heat recovery and distribution strategy based on preset priority rules, wherein the priority rules comprise the following: high-temperature waste heat is preferentially directly supplied for heating, and medium- and low-temperature waste heat is stored in a phase-change heat storage unit in stages; generating a control instruction according to the priority rules; and adjusting the opening degree of a heat exchange bypass valve, the circulating pump rotating speed and the heat storage unit start-stop state through digital and electrical signals, so as to realize dynamic matching of waste heat recovery amount, heat storage release amount and heating demand. The application solves the problem that a traditional waste heat utilization system lacks self-adaptive regulation and control capability.
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Description

Technical Field

[0001] This application relates to the technical field of digital data processing, and in particular to a method and system for processing comprehensive evaluation data of multi-dimensional detection of compressors. Background Technology

[0002] Gas reciprocating compressors, as core equipment in oil and gas field gathering and production, generate a large amount of waste heat (such as cylinder liner cooling water and exhaust heat) during operation. Traditional waste heat treatment methods mostly involve direct discharge or simple recovery, which not only wastes energy but also exacerbates carbon emissions. With the increasing demand for energy conservation and emission reduction, the efficient recovery and intelligent utilization of waste heat has become an important research direction.

[0003] Currently, some waste heat recovery systems use a fixed data acquisition and processing method, such as obtaining waste heat temperature information through a single temperature sensor and controlling the start and stop of the heat exchanger based on a preset threshold.

[0004] Existing waste heat data processing methods lack the ability to comprehensively analyze multi-source data (such as ambient temperature, user demand, and compressor operating conditions), and the control logic is rigid, making it impossible to adjust the waste heat recovery strategy according to real-time operating conditions, which greatly restricts the utilization rate of waste heat. Summary of the Invention

[0005] To address at least one of the aforementioned technical problems, this application provides a method and system for processing comprehensive evaluation data of compressor multi-dimensional detection.

[0006] Firstly, this application provides a method for processing comprehensive evaluation data of compressors based on multi-dimensional detection, employing the following technical solutions:

[0007] Multi-source data is collected in real time through a sensor network. The multi-source data includes ambient temperature signal, compressor cylinder cooling water temperature signal, power exhaust temperature signal, user-end heating temperature signal, and circulation pipeline flow signal.

[0008] The multi-source data is transmitted to the intelligent controller, which determines the waste heat recovery and distribution strategy based on preset priority rules. The priority rules include prioritizing direct supply of high-temperature waste heat for heating and storing medium- and low-temperature waste heat in a phase change heat storage unit in stages.

[0009] Control commands are generated based on the priority rules, and the opening degree of the heat exchange bypass valve, the speed of the circulating pump, and the start / stop status of the heat storage unit are adjusted through digital signals to achieve dynamic matching between waste heat recovery, heat storage release and heating demand.

[0010] By adopting the above technical solution, through the real-time collection of multi-source data (including environmental temperature, compressor cooling water temperature, exhaust temperature, user end temperature and flow signal) by the sensor network, and in combination with the preset priority rules (such as high-temperature waste heat direct supply and medium-low temperature waste heat storage), the valve opening, pump speed and heat storage unit state are dynamically adjusted by using the electrical signal, thereby solving the problem of lack of self-adaptive control capability of the traditional waste heat utilization system.

[0011] Specifically, the real-time transmission of multi-source data and the coordination of the priority rules enable the system to quickly respond to environmental temperature changes and user demand fluctuations, avoiding excess or insufficient heat. For example, when the environmental temperature suddenly drops, high-temperature waste heat is preferentially supplied to the user end, and medium-low temperature waste heat is stored in the phase change unit, thereby significantly improving the waste heat utilization rate to more than 70% (30%-50% energy saving compared with the traditional system).

[0012] In addition, the electrical signal directly controls the actuator, reduces human intervention delay, ensures that the indoor temperature fluctuation range is ≤±1℃, and optimizes the user experience.

[0013] In one possible implementation, the priority rules further include:

[0014] When the environmental temperature signal is lower than a first threshold value, the control instruction preferentially closes the heat storage unit valve and increases the circulating pump speed to directly deliver high-temperature waste heat to the user end;

[0015] When the environmental temperature signal is higher than a second threshold value, the control instruction opens the heat storage unit valve and reduces the circulating pump speed to store medium-low temperature waste heat in the phase change heat storage unit.

[0016] By adopting the above technical solution, the heat storage unit valve and circulating pump speed are regulated in stages by setting the environmental temperature threshold values (first threshold value and second threshold value), thereby solving the problem of rigidity of the traditional waste heat recovery mode. For example, when the environmental temperature is lower than the first threshold value (such as -20℃), the heat storage unit valve is closed and the pump speed is increased, and high-temperature waste heat is preferentially delivered to the user end to meet the extreme low-temperature demand; when the environmental temperature is higher than the second threshold value (such as 10℃), the heat storage unit valve is opened and the pump speed is reduced, and the redundant heat is stored in the phase change material. This dynamic switching logic based on environmental conditions avoids excessive occupation of high-temperature waste heat resources by the heat storage unit in low-temperature environments, while maximizing the utilization rate of the heat storage capacity in medium-high temperature environments, thereby significantly reducing the frequency of starting the standby heat source.

[0017] In one possible implementation, the priority rules further include: when it is detected that the compressor load change rate exceeds a preset threshold value, the intelligent controller generates a hierarchical response instruction to synchronously adjust the heat exchange bypass valve opening, circulating pump speed and heat storage unit valve opening and closing state by using the electrical signal, so as to match the waste heat distribution demand under the load fluctuation.

[0018] By adopting the technical scheme, the compressor load change signal is captured in real time through the added redundant sensor and dynamic priority adjustment mechanism, and the rapid charging and discharging strategy of the heat storage unit is triggered based on the load fluctuation amplitude grading. Specifically, when the compressor load suddenly increases, the high-temperature waste heat is directly supplied to the heating loop to relieve the instantaneous demand pressure; when the load suddenly decreases, the heat storage unit valve is immediately opened and the redundant waste heat is stored, and at the same time, the bypass valve opening and the circulating pump speed are adjusted synchronously through the digital and electrical signals to ensure the dynamic balance of heat recovery and distribution, solving the problem that the existing system has a delay in the cooperative response of the waste heat recovery module and the heat storage unit when the compressor load suddenly changes, resulting in a decrease in heat distribution efficiency.

[0019] In a possible implementation manner, the generation of the control instruction further includes: monitoring the heat storage / release rate of the heat storage unit in real time through the digital and electrical signals, generating a standby heat storage module access instruction when the rate is lower than a preset threshold, and closing the current heat storage unit valve to switch to the standby module, and triggering a maintenance reminder signal.

[0020] By adopting the technical scheme, the heat storage efficiency problem caused by the performance degradation of the phase change material is solved by monitoring the heat storage / release rate of the heat storage unit in real time and switching to the standby module when the rate is lower than the threshold. For example, when the temperature gradient sensor detects that the heat storage rate decreases (indicating that the material is aging), the current heat storage valve is immediately closed and the standby module is accessed through the digital and electrical signals, and a maintenance reminder signal is triggered. Thus, the long-term stable operation of the heat storage system is ensured, and the decrease in heating efficiency caused by the performance degradation of the material is avoided.

[0021] In a possible implementation manner, the generation of the control instruction further includes:

[0022] According to the difference between the circulating pipeline flow signal and the user end heating temperature signal, the opening of the heat exchange bypass valve is adjusted in real time to balance the waste heat recovery efficiency and the heating stability.

[0023] By adopting the technical scheme, the opening of the valve is adjusted in real time according to the difference between the circulating pipeline flow signal and the user end temperature, solving the problem of insufficient heating stability caused by system response lag. For example, when the flow signal shows that the circulation is insufficient and the user end temperature is low, the bypass valve opening is increased through the digital and electrical signals to increase the waste heat recovery amount; otherwise, the opening is decreased to avoid overheating. This closed-loop feedback mechanism balances the waste heat recovery efficiency and the heating stability, ensuring that the indoor temperature fluctuation range is ≤±1℃.

[0024] In a possible implementation, the multi-source data further includes an outlet temperature signal of each stage heat exchanger, and the control instruction further includes: switching a state of an independent pipeline valve by a digital and electrical signal according to a temperature difference between the high-temperature waste heat and the medium-low-temperature waste heat, so as to realize physical isolation and priority allocation of a heat transfer path.

[0025] By using the technical solution, the temperature difference between the high-temperature waste heat and the medium-low-temperature waste heat is monitored, and the state of the independent pipeline valve is switched, so that the problem of heat mixing loss of the multi-stage heat exchanger is solved. For example, when the temperature of the high-temperature waste heat is significantly higher than that of the medium-low-temperature waste heat, the mixing valve is closed and the independent pipeline is enabled by the digital and electrical signal, so that the high-temperature waste heat is directly supplied to the user end, and the medium-low-temperature waste heat is stored in the phase change unit. The physical isolation design improves the waste heat cascade utilization rate by 15%-20% and reduces the invalid heat loss.

[0026] In a possible implementation, the multi-source data further includes an ambient humidity signal, and the control instruction further includes: when the ambient humidity signal exceeds a preset threshold, the intermittent opening and closing frequency of a heat exchange bypass valve and the rotating speed of a circulating pump are controlled by a digital and electrical signal, so as to inhibit dewing and maintain the waste heat recovery efficiency.

[0027] By using the technical solution, the ambient humidity signal is introduced, and the intermittent opening and closing frequency of the heat exchange bypass valve is controlled, so that the problem of efficiency reduction caused by dewing of the heat exchanger in a high-humidity environment is solved. For example, when the humidity sensor detects a dewing risk, the rapid opening and closing operation of the heat exchanger bypass valve is triggered by the digital and electrical signal, the airflow flushing frequency is increased to remove the condensed water, and the rotating speed of the circulating pump is increased to accelerate the heat delivery. This design maintains the waste heat recovery efficiency in a high-humidity working condition at more than 90% of the original efficiency.

[0028] In a second aspect, the application provides a compressor multi-dimensional detection comprehensive evaluation data processing system, comprising:

[0029] A sensor network module is configured to collect ambient temperature, compressor cylinder cooling water temperature, power exhaust temperature, user end heating temperature and circulating pipeline flow signal in real time.

[0030] An intelligent controller is in communication connection with the sensor network module, configured to receive the multi-source data and generate a regulation and control instruction based on a preset priority rule, and the priority rule includes high-temperature waste heat priority direct heating and medium-low-temperature waste heat graded storage in a phase change heat storage unit.

[0031] An actuator module includes a heat exchange bypass valve, a circulating pump and a heat storage unit control valve, and the actuator module is in communication connection with the intelligent controller, configured to adjust the valve opening degree, the pump rotating speed and the heat storage unit start-stop state according to the regulation and control instruction, so as to realize dynamic regulation and control of waste heat recovery and heating distribution.

[0032] By adopting the technical solution, the dynamic regulation and control of waste heat recovery and distribution is realized through modular design (sensor network, intelligent controller, and actuator), and the problems of loose system structure and poor collaboration in the traditional system are solved. For example, the sensor network module collects multi-source data in real time and transmits the data to the controller through a communication link, the controller generates a regulation and control instruction and drives the actuator (valve, pump, and heat storage unit) through an electrical signal, and a closed-loop control chain is formed. The integrated architecture shortens the system response time to milliseconds and is easy to extend and link with other energy systems (such as solar energy).

[0033] In a third aspect, the present application provides an electronic device, comprising a memory and a processor, wherein the memory is configured to store computer program code, and the processor is configured to execute the computer program code stored in the memory to implement the method in the first aspect and any possible implementation of the first aspect, or the method in the second aspect and any possible implementation of the second aspect.

[0034] In a fourth aspect, the present application provides a computer readable storage medium, which stores computer program or instructions, and when the computer program or instructions are executed, the method in the first aspect and any possible implementation of the first aspect, or the method in the second aspect and any possible implementation of the second aspect is implemented. BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 A flowchart of a compressor multi-dimensional detection comprehensive evaluation data processing method provided by an embodiment of the present application.

[0036] Figure 2 A structural schematic diagram of a compressor multi-dimensional detection comprehensive evaluation data processing system provided by an embodiment of the present application.

[0037] Figure 3 A structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0038] The technical solutions in the present application will be described below with reference to all the drawings. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments.

[0039] In the description of the embodiments of the present application, unless otherwise specified, " / " represents the meaning of "or", for example, A / B can represent A or B; "and / or" in this document only represents a description of the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which means that there are three cases of A alone, A and B together, and B alone. In addition, in the description of the embodiments of the present application, "plurality" or "multiple" means two or more than two.

[0040] The terms "first", "second", and the like in the following do not by themselves convey any meaning of relative importance or imply referring to the number of features being referred to. Thus, a feature defined with "first", "second" can explicitly or implicitly include one or more of the feature. In the description of the embodiments, the meaning of "a plurality of" is two or more, unless otherwise specified.

[0041] The terms used in the following embodiments are only for the purpose of describing specific embodiments and are not intended to be limiting on the present application. As used in the specification and the appended claims of the application, the singular forms "a", "an" and "the" are intended to include the plural forms as well, e.g., "a" or "an" means one or more, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and / or "comprising", or "includes" and / or "including" when used in this specification, specify the presence of stated features, structures, and / or characteristics, but do not preclude the presence or addition of one or more other features, structures, characteristics, and / or groups thereof.

[0042] Reference in the specification to "one embodiment" or "some embodiments" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the application. The appearances of the phrase "in one embodiment" or "in some embodiments" in various places in the specification are not necessarily all referring to the same embodiment, although it can. The terms "including," "comprising," "having" and variations thereof are meant to encompass the items listed thereafter and equivalents thereof as well as additional items. The terms "a" and "an" are defined as one or more unless explicitly indicated to the contrary.

[0043] The embodiments of the present application provide a compressor multi-dimensional detection comprehensive evaluation data processing method, which is executed by an electronic device. The electronic device can be a physical electronic device, an electronic device cluster or a distributed system composed of multiple physical electronic devices, or a cloud electronic device providing cloud computing services. The embodiments of the present application do not make any limitation here, as shown in the following figure, the method comprises: Figure 1

[0044] S1, collecting multi-source data in real time through a sensor network.

[0045] The multi-source data includes an ambient temperature signal, a compressor cylinder cooling water temperature signal, a power exhaust temperature signal, a user end heating temperature signal, and a circulating pipeline flow signal.

[0046] ​Specifically, the deployment of sensor networks and multi-source data collection are achieved through distributed hardware to realize real-time monitoring. Further, temperature sensors (such as PT100 thermal resistance) and flow sensors (such as electromagnetic flow meters) are installed at the compressor cylinder cooling water outlet, power exhaust pipe, user end radiator inlet and outlet, circulating pipeline key nodes and outdoor environment.

[0047] Among them, the sensors are connected with the data acquisition module through analog signals or Modbus RTU protocol, and the environmental temperature signal, cooling water temperature signal, exhaust temperature signal, user end temperature signal and flow signal are transmitted in real time to the intelligent controller. PLC communicates with the host computer (such as industrial computer) through Ethernet to form a closed loop data link.

[0048] For example, when the outdoor temperature sensor detects a sudden drop in temperature, its signal is transmitted to the PLC through digital and electrical signals, triggering the high-temperature waste heat direct supply instruction, while the medium and low-temperature waste heat storage signal is sent to the heat storage unit control valve through the bus.

[0049] S2, transmit multi-source data to the intelligent controller, and judge the waste heat recovery and distribution strategy based on the preset priority rules.

[0050] Among them, the priority rules include high-temperature waste heat priority direct heating and medium and low-temperature waste heat graded storage to phase change heat storage unit.

[0051] Specifically, the priority rule logic of the intelligent controller is realized through modular program and hardware interface to realize dynamic decision. Further, the PLC built-in function block (such as FB1) predefines the priority rule library, including high-temperature waste heat direct supply threshold (such as exhaust temperature ≥ 150℃), medium and low-temperature waste heat storage threshold (such as cooling water temperature 80-120℃) and environmental temperature grading condition (such as -20℃ ≤ T ≤ 10℃).

[0052] Among them, when the multi-source data is input through the I / O module, the PLC generates control instructions according to the rule library, and sends digital and electrical signals to the actuator through the digital output module.

[0053] For example, when the environmental temperature is lower than -20℃ and the user end temperature is lower than the set value, the PLC outputs high-level signal to the circulating pump frequency converter (such as ABB ACS550), which increases the pump speed to 80% of the rated value, while sending pulse signal to close the heat storage unit electric valve (such as AUMA SAR actuator), to ensure that the high-temperature waste heat is directly supplied to the user end.

[0054] S3, generate control instructions according to the priority rules, adjust the opening of the heat exchange bypass valve, the circulating pump speed and the start and stop state of the heat storage unit through digital and electrical signals, to realize the dynamic matching of waste heat recovery, heat storage release and heating demand.

[0055] Specifically, the dynamic regulation of the actuator is achieved by the precise operation of the electrical and mechanical linkage. Further, the heat exchange bypass valve (such as an electric butterfly valve) and the circulating pump are controlled by the digital output signal of the PLC. The valve opening is adjusted by the PWM signal (such as 0-10V corresponding to 0-100% opening), and the circulating pump speed is controlled by the analog input (4-20mA) of the frequency converter. The storage unit control valve (such as an electric ball valve) is opened and closed by the Modbus TCP instruction.

[0056] For example, when the PLC detects that the storage unit capacity is insufficient, it sends a switching signal to the relay of the standby storage module, triggers the valve switching action, and synchronously notifies the gas boiler controller through the CAN bus to start the preheating process, ensuring seamless connection of the heat source.

[0057] In this embodiment, real-time collection of multi-source data (including environmental temperature, compressor cooling water temperature, exhaust temperature, user end temperature and flow signal) is achieved through a sensor network, and combined with pre-set priority rules (such as high-temperature waste heat direct supply and medium-low temperature waste heat storage), the valve opening, pump speed and storage unit state are dynamically adjusted using electrical and electronic signals, solving the problem of lack of adaptive control capability in traditional waste heat utilization systems.

[0058] Specifically, the real-time transmission of multi-source data and the coordination of priority rules enable the system to quickly respond to changes in environmental temperature and fluctuations in user demand, avoiding excess or insufficient heat.

[0059] For example, when the environmental temperature drops sharply, the high-temperature waste heat is directly supplied to the user end, while the medium-low temperature waste heat is stored in the phase change unit, significantly improving the waste heat utilization rate to more than 70% (compared to traditional systems, energy saving 30%-50%).

[0060] In addition, by directly controlling the actuator with electrical and electronic signals, human intervention delay is reduced, ensuring that the indoor temperature fluctuation range is ≤±1℃, and user experience is optimized.

[0061] In some embodiments, the priority rules in S2 further include:

[0062] S201, when the environmental temperature signal is lower than the first threshold value, the control instruction preferentially closes the storage unit valve and increases the circulating pump speed to directly deliver high-temperature waste heat to the user end.

[0063] Specifically, the priority rule when the environmental temperature is lower than the first threshold value is achieved by the linkage of sensor signals and actuators to realize high-temperature waste heat direct supply. Further, environmental temperature sensors are installed at key outdoor locations, and connected to the analog input module of the intelligent controller through 4-20mA analog signals.

[0064] When the sensor detects a temperature of ≤ -20°C (first threshold value), the PLC sends a high-level signal to the heat storage unit electric valve through the digital output module to close the valve and block the heat storage circuit. At the same time, the PLC sends a 4-20 mA signal to the circulating pump frequency converter through the analog output module to increase the pump speed to 80% of the rated value, and drives the high-temperature waste heat (e.g., power exhaust temperature ≥ 150°C) to be directly supplied to the user's radiator through an independent pipeline.

[0065] For example, in an extremely low temperature scenario, the system receives the load state signal of the compressor PLC in real time through the RS485 bus. If a sudden increase in load is detected, the PLC increases the circulating pump speed to 100% synchronously to ensure sufficient instantaneous supply of high-temperature waste heat.

[0066] S202, when the ambient temperature signal is higher than the second threshold value, the control instruction opens the heat storage unit valve and reduces the circulating pump speed to store the medium and low temperature waste heat in the phase change heat storage unit.

[0067] Specifically, the priority rule when the ambient temperature is higher than the second threshold value is realized by valve switching and pump speed regulation to store medium and low temperature waste heat. Further, when the ambient temperature sensor detects a temperature of ≥ 10°C (second threshold value), the PLC sends an opening instruction to the heat storage unit electric valve through the Modbus TCP protocol, and simultaneously reduces the circulating pump frequency converter speed to 30% of the rated value. The medium and low temperature waste heat (e.g., cylinder cooling water temperature 80-120°C) is recovered by the plate heat exchanger and then transported to the phase change heat storage unit through an independent pipeline.

[0068] The PLC communicates with the heat storage unit temperature transmitter through the Profibus DP protocol to monitor the heat storage state in real time. If the heat storage unit temperature is lower than the melting point of the phase change material (e.g., 60°C), the PLC sends a pulse signal to adjust the bypass valve opening to 50% to divert part of the heat to the buffer tank.

[0069] For example, during the night low valley electricity price period, the system opens the heat storage valve and reduces the pump speed to 20% through the electrical signal to maximize the storage of redundant waste heat and reduce the frequency of starting the gas boiler during the day.

[0070] This dynamic switching logic based on environmental conditions avoids excessive occupation of high-temperature waste heat resources by the heat storage unit in low temperature environments, while maximizing the utilization rate of heat storage capacity in medium and high temperature environments, significantly reducing the frequency of starting the standby heat source.

[0071] In some embodiments, the priority rule in S2 further includes:

[0072] S203、When the compressor load change rate exceeds the preset threshold, the intelligent controller generates a staged response instruction to synchronously adjust the heat exchange bypass valve opening, the circulating pump speed, and the heat storage unit valve opening and closing state through digital electrical signals to match the waste heat distribution demand under load fluctuation.

[0073] Specifically, the staged response to the compressor load mutation is achieved by multi-sensor coordination and actuator linkage to realize dynamic waste heat distribution. Further, a vibration sensor (such as a piezoelectric accelerometer) is installed at the power shaft end of the compressor, which is connected to the high-speed input module of the intelligent controller through a 4-20mA analog signal.

[0074] When the load change rate exceeds the preset threshold (such as 10% / s), the PLC sends a staged instruction through the digital output module:

[0075] If the load increases suddenly, a pulse signal is sent to increase the heat exchange bypass valve opening to 70%, and simultaneously a 4-20mA signal is sent to the circulating pump frequency converter through the analog output module to increase the speed to 90% of the rated value.

[0076] If the load decreases suddenly, a low-level signal is sent to close the heat storage unit valve, and the pump speed is reduced to 30% through the RS485 bus command.

[0077] For example, in the case of sudden change of oil and gas field gathering and transportation conditions, the system receives the real-time power signal of the compressor PLC in real time through the CAN bus. If the load fluctuation continues to exceed the limit, the PLC automatically switches to the standby control strategy, and directly drives the valve and pump through the hard-wired signal to ensure that the response time of waste heat distribution is ≤200ms.

[0078] This design can ensure the dynamic balance of heat recovery and distribution, and solve the problem of delayed response of the waste heat recovery module and the heat storage unit when the compressor load changes suddenly, resulting in reduced heat distribution efficiency.

[0079] Further, the vibration sensor adopts a dual-redundancy design (the main and backup sensors are connected to the DI module and distributed I / O station of the PLC respectively), and when the main sensor signal is abnormal (such as noise interference), the PLC automatically switches to the backup signal and sends a fault code to the field alarm module to trigger the buzzer alarm.

[0080] The heat exchange bypass valve and circulating pump control adopt a master-slave dual-link design. When the main link is delayed due to load mutation, the slave link directly sends on-off signals to the valve and pump through the emergency output terminal of the PLC to ensure uninterrupted execution of the control instruction, and at the same time informs the upper computer through Ethernet to record event logs for subsequent maintenance and analysis.

[0081] Further, the heat storage unit valve (such as an electric ball valve) communicates with the PLC through an independent RS485 bus. When a sudden load reduction is detected, the PLC sends a closing instruction and switches to a bypass loop to temporarily store the redundant waste heat through the buffer tank.

[0082] At the same time, the circulating pump speed is linked to the valve opening degree through an analog signal (0-10V). If the load change rate exceeds 20% / s, the PLC sends a high-priority instruction to force the pump speed to increase to 100% and fully open the bypass valve, ensuring that the high-temperature waste heat is directly supplied to the user end.

[0083] For example, in the working condition of frequent start-stop of the compressor, the system dynamically adjusts the opening and closing frequency of the heat storage unit valve (such as 2-5 times per second) through digital and electrical signals, and realizes smooth transition of heat fluctuation in combination with the capacity feedback signal of the buffer tank, avoiding temperature fluctuation of the user end exceeding ±1℃.

[0084] In some embodiments, the generation of the control instruction in S3 further includes:

[0085] S301, the storage / release rate of the heat storage unit is monitored in real time through digital and electrical signals. When the rate is lower than a preset threshold, an access instruction of a standby heat storage module is generated, and the current heat storage unit valve is closed to switch to the standby module, and a maintenance reminder signal is triggered.

[0086] Specifically, the performance degradation monitoring of the heat storage unit and the switching of the standby module are realized through multi-sensor cooperation and redundant communication link for efficient maintenance. Further, a temperature gradient sensor (such as a K-type thermocouple array) is installed inside the heat storage unit and connected to the analog input module of the intelligent controller through an analog signal.

[0087] Wherein, the PLC calculates the storage / release rate (such as temperature change value ΔT / Δt per unit time) in real time. When the rate is lower than a preset threshold (such as ΔT / Δt<2℃ / min), the PLC sends an on-off signal to close the current heat storage unit electric valve through the digital output module, and simultaneously sends an access instruction to the relay of the standby heat storage module through the Modbus TCP protocol.

[0088] For example, in the aging scenario of the phase change material, the PLC receives the capacity feedback signal of the standby module through the RS485 bus. If it is confirmed that the standby module is ready, the valve is switched to the standby loop, and the sound and light alarm of the scene alarm module is triggered through the CAN bus to prompt the maintenance personnel for maintenance.

[0089] Specifically, by monitoring the storage / release rate of the heat storage unit in real time and switching to the standby module when the rate is lower than the threshold, the problem of decreased heat storage efficiency caused by performance degradation of the phase change material is solved.

[0090] For example, when the temperature gradient sensor detects a decrease in heat storage rate (indicating material aging), the current heat storage valve is immediately closed and the standby module is connected through digital and electrical signals, and a maintenance reminder signal is triggered. Thus, the long-term stable operation of the heat storage system is ensured, and the decrease in heating efficiency caused by material performance degradation is avoided.

[0091] Further, the generation and transmission of the maintenance reminder signal are ensured by multi-protocol redundant communication. Among them, the PLC sends the maintenance reminder signal (such as a JSON format message) to the upper computer monitoring system through Ethernet, and synchronously lights up the red warning light and buzzer of the control cabinet through hard-wired relays.

[0092] Among them, the upper computer pushes the alarm information to the cloud operation and maintenance platform through the OPC UA protocol, and generates a work order record.

[0093] For example, when the heat storage rate is detected to be lower than the threshold value for three times in a row, the PLC sends a shutdown request signal to the compressor control system through the Profibus DP protocol, forcing it to enter maintenance mode, and avoiding heating interruption caused by heat storage failure.

[0094] Further, the seamless switching of the standby heat storage module is ensured by independent control loop and physical isolation design to ensure system continuity. Among them, the standby heat storage module is connected in parallel with the main loop through independent pipelines, and an electric three-way valve is installed at the inlet.

[0095] When the PLC sends a switching instruction, the three-way valve switches to the standby loop through a PWM signal (such as 0-10V corresponding to 0-100% opening), and starts the circulating pump of the standby module through a hard-wired signal.

[0096] For example, during the switching process, the PLC synchronously closes the main loop valve and adjusts the standby pump speed to 50Hz through digital and electrical signals, ensuring that the flow fluctuation is ≤5%. The heat storage unit temperature data is collected by dual-redundant sensors. If the main sensor fails, the PLC automatically switches to the standby signal and updates the control logic through the Modbus RTU protocol to maintain the stability of the switching process.

[0097] In some embodiments, the generation of the control instruction in S3 further includes:

[0098] S302, according to the difference between the circulating pipeline flow signal and the user end heating temperature signal, the opening of the heat exchange bypass valve is adjusted in real time to balance the waste heat recovery efficiency and the heating stability.

[0099] Specifically, the valve controlled by the difference between the circulation pipeline flow and the user end temperature drives the heating stability optimization through closed-loop feedback and digital signal linkage. Further, electromagnetic flow meters are installed at key nodes of the circulation pipeline, and PT100 temperature sensors are deployed at the inlet and outlet of the user end radiator. They are connected to the analog input module and communication module of the intelligent controller through 4-20mA analog signals and Modbus RTU protocol respectively.

[0100] Among them, the PLC calculates the flow signal and the difference between the user end temperature (such as ΔQ=actual value-flow set value, ΔT=actual value-temperature set value) in real time. When ΔQ and ΔT deviate in the same direction (such as insufficient flow and low temperature), the PLC sends a PWM signal to adjust the opening of the heat exchange bypass valve through the digital output module.

[0101] For example, in a low temperature scenario, if the user end temperature drops by 2℃ and the flow is less than 10% of the set value, the PLC sends a PWM signal with a duty cycle of 80% to the valve, and the opening is increased to 60%. At the same time, the analog output module sends a 4-20mA signal to the circulation pump frequency converter to increase the speed to 75%, so as to increase the amount of waste heat recovery.

[0102] Specifically, the valve opening is adjusted in real time according to the difference between the circulation pipeline flow signal and the user end temperature, which solves the problem of insufficient heating stability caused by system response lag.

[0103] This closed-loop feedback mechanism balances the waste heat recovery efficiency and the heating stability, ensuring that the indoor temperature fluctuation range is ≤±1℃.

[0104] Further, the redundant sensor and dual-link communication design ensure the real-time and fault tolerance of the control command. Among them, the flow meter and temperature sensor are configured with main and standby redundancy. The main sensor communicates with the PLC through Profibus DP protocol, and the standby sensor is connected to the distributed I / O station through hard-wired 4-20mA signal.

[0105] Among them, when the main link signal is abnormal (such as communication timeout), the PLC automatically switches to the standby signal, and triggers the alarm relay through the CAN bus to light up the yellow warning light on site. The valve control adopts master-slave dual output: the main link is Modbus TCP command, and the slave link is hard-wired PWM signal (such as 0-10V).

[0106] For example, when the main link is delayed due to extreme load fluctuation, the PLC directly outputs the PWM signal to the valve through the slave link, ensuring that the opening adjustment response time is ≤150ms, while recording the event log through Ethernet for subsequent energy efficiency analysis.

[0107] Further, the coordinated control of valve opening and pump speed achieves dynamic balance through physical isolation and priority allocation. Among them, the heat exchange bypass valve and the circulating pump are connected through independent control circuits: the valve opening is driven by the PWM output module of the PLC, and the pump speed is controlled by the analog output module.

[0108] When it is detected that ΔQ and ΔT continue to deviate, the PLC sends a high-priority instruction to force the valve opening and pump speed to move in a preset ratio (for example, the pump speed increases by 5% for every 10% increase in valve opening).

[0109] For example, when the compressor load suddenly increases, causing excess waste heat supply, the PLC reduces the valve opening to 40% and simultaneously reduces the pump speed to 50% through digital signals, diverting redundant heat to the buffer tank to prevent overheating at the user end. The buffer tank capacity signal is fed back to the PLC through an ultrasonic liquid level sensor, dynamically correcting the control parameters to ensure that the heating stability error is ≤±0.5°C.

[0110] In some embodiments, the multi-source data in S1 also includes outlet temperature signals of each level of heat exchanger, and the control instruction further includes:

[0111] S101, according to the temperature difference between high-temperature waste heat and medium-low-temperature waste heat circuits, switch the state of the independent pipe valve through digital signals to achieve physical isolation and priority allocation of the heat transfer path.

[0112] Specifically, the physical isolation of high-temperature and medium-low-temperature waste heat circuits achieves graded utilization of heat through multi-level temperature monitoring and valve switching logic. Further, K-type thermocouple sensors are installed at the outlet of the high-temperature waste heat circuit (such as the compressor exhaust pipe), and temperature sensors are deployed at the outlet of the medium-low-temperature waste heat circuit (such as the cylinder cooling water pipe), which are connected to the analog input module and communication module of the intelligent controller through 4-20mA analog signals and Modbus RTU protocol respectively.

[0113] Among them, the PLC calculates the temperature difference (such as ΔT = high-temperature circuit temperature - medium-low-temperature circuit temperature) between high-temperature and low-temperature circuits in real time, and when ΔT ≥ 50°C, the PLC sends an on-off signal to close the mixing valve through the digital output module, and simultaneously sends a pulse signal (PWM duty cycle 100%) to open the high-temperature direct supply valve, ensuring that the high-temperature waste heat (≥ 150°C) is directly supplied to the user's radiator through an independent pipe.

[0114] For example, if the high-temperature circuit temperature is detected to be 180°C and the medium-low-temperature circuit is 80°C, the PLC immediately switches the valve state, blocks heat mixing, and stores the medium-low-temperature waste heat in the phase change heat storage unit through the plate heat exchanger, increasing the waste heat utilization rate by 15%-20%.

[0115] Specifically, by monitoring the high-low temperature loop temperature difference and switching the independent pipeline valve state, the problem of heat mixing loss of multi-stage heat exchanger is solved. This physical isolation design improves the utilization rate of waste heat by 15%-20% and reduces the invalid loss of heat.

[0116] Further, the redundant sensor and double communication link design ensure the reliability and real-time performance of temperature difference monitoring. Among them, the temperature sensors of high temperature and medium-low temperature circuits are configured with double redundancy (main and backup K-type thermocouples and PT100), the main sensor communicates with the PLC through Profibus DP protocol, and the backup sensor accesses the distributed I / O station through hardwired 4-20mA signal.

[0117] When the main link signal is abnormal (such as disconnection or out of range), the PLC automatically switches to the backup signal and triggers the fault indicator light of the scene alarm module through the CAN bus.

[0118] Among them, the valve control adopts master-slave dual link: the main link is Modbus TCP instruction control electric valve, and the slave link is hardwired relay direct drive valve emergency action.

[0119] For example, in the communication delay or interference scene, the PLC sends a hardwired signal through the slave link to forcibly close the mixing valve, ensuring that the high-temperature waste heat direct supply response time is ≤100ms.

[0120] Further, the priority allocation of independent pipeline valves is realized through physical isolation and dynamic signal linkage to maximize energy efficiency. Among them, the high-temperature direct supply valve and the medium-low temperature heat storage valve communicate with the PLC through independent bus, and the PLC dynamically allocates control priority according to ΔT:

[0121] When ΔT≥50℃, the high-temperature valve opening is set to 100%, and the medium-low temperature valve is closed;

[0122] When ΔT<50℃, the medium-low temperature valve opening gradually increases to 70%, and the high-temperature valve switches to bypass mode.

[0123] For example, when the compressor load fluctuation causes the high-temperature waste heat to temporarily drop, the PLC adjusts the high-temperature valve opening to 50% through the digital signal, synchronously opens the medium-low temperature valve to 30%, and proportionally distributes the mixed waste heat to the user end and the heat storage unit, avoiding heat waste. Among them, the liquid level sensor of the buffer tank feeds back the capacity data through the Modbus RTU protocol, dynamically corrects the valve opening strategy, and ensures that the heating stability error is ≤±0.8℃.

[0124] In some embodiments, the multi-source data in S1 also includes an environmental humidity signal, and the control instruction further includes:

[0125] S102、When the ambient humidity signal exceeds the preset threshold, the intermittent opening and closing frequency of the heat exchange bypass valve and the circulating pump speed are controlled by the digital signal to suppress dewing and maintain the waste heat recovery efficiency.

[0126] Specifically, the dewing suppression when the ambient humidity exceeds the limit is achieved by the humidity sensor signal and the actuator to maintain the waste heat recovery efficiency. Further, capacitive humidity sensors are installed at the surface of the heat exchanger and key positions outdoors, and the 4-20mA analog signal and Modbus RTU protocol are accessed to the analog input module and communication module of the intelligent controller.

[0127] When the ambient humidity is detected to be ≥80%RH (preset threshold), the PLC sends a PWM signal (duty ratio 10%-90%) through the digital output module to control the intermittent opening and closing frequency of the heat exchange bypass valve (such as 2-5 times per second), and sends a 4-20mA signal to the circulating pump frequency converter through the analog output module to increase the speed to 85% of the rated value.

[0128] For example, in coastal high-humidity areas, if the dewing risk is detected, the PLC synchronously triggers the rapid opening and closing action of the heat exchanger bypass valve, removes the condensed water by air flow flushing, and at the same time, through the Profibus DP protocol, the compressor PLC reduces the exhaust temperature fluctuation to maintain the waste heat recovery efficiency above 90% of the original efficiency.

[0129] Specifically, the ambient humidity signal is introduced and the intermittent opening and closing frequency of the heat exchange bypass valve is controlled, which solves the problem of efficiency decline caused by dewing of the heat exchanger in high-humidity environment. This design maintains the waste heat recovery efficiency in high-humidity conditions above 90% of the original efficiency.

[0130] Further, the redundant humidity monitoring and double-link control design guarantee the system reliability in high-humidity conditions. Among them, the humidity sensor adopts a main-backup redundant configuration, the main sensor communicates with the PLC through the Profibus DP protocol, and the backup sensor accesses the distributed I / O station through the hard-wired 4-20mA signal.

[0131] When the main sensor signal is abnormal (such as drift exceeds the limit), the PLC automatically switches to the backup signal, and triggers the alarm relay through the CAN bus to light up the orange warning light on site.

[0132] The bypass valve control adopts master-slave double-output link: the main link is the Modbus TCP command to control the opening and closing frequency of the valve, and the slave link is the hard-wired PWM signal (0-10V).

[0133] For example, in the communication delay scenario, PLC ensures the opening and closing frequency ≥ 2Hz by directly outputting PWM signals from the link to the valve, and records the humidity exceeding event through Ethernet for subsequent energy efficiency optimization analysis.

[0134] Further, the linkage control of the valve and the pump speed realizes the balance between dew suppression and heat delivery through physical isolation and priority allocation. Among them, the heat exchange bypass valve and the circulating pump are connected through independent control circuits: the opening and closing frequency of the valve is driven by the PWM module of PLC, and the pump speed is controlled by the analog output module.

[0135] When the ambient humidity continues to exceed the threshold value, PLC sends a high-priority instruction to force the valve opening and closing frequency to increase to 5Hz and the pump speed to increase to 90% synchronously.

[0136] For example, in the plum rain season, the system dynamically adjusts the valve action period (such as 200ms on / 200ms off) through electronic signals, combined with the capacity feedback signal of the buffer tank, to smooth the heat delivery fluctuation, ensure that the user end temperature fluctuation ≤±0.5℃, and suppress the dew thickness on the surface of the heat exchanger ≤0.1mm.

[0137] The compressor multi-dimensional detection comprehensive evaluation data processing system provided by the embodiment of the application is introduced below, and the compressor multi-dimensional detection comprehensive evaluation data processing system described below can be correspondingly referred to the compressor multi-dimensional detection comprehensive evaluation data processing method described above.

[0138] Reference Figure 2 The application provides a compressor multi-dimensional detection comprehensive evaluation data processing system, comprising:

[0139] The sensor network module 1 is used for real-time acquisition of ambient temperature, compressor cylinder cooling water temperature, power exhaust temperature, user end heating temperature and circulating pipeline flow signal.

[0140] The intelligent controller 2 is in communication connection with the sensor network module 1, used for receiving the multi-source data and generating a control instruction based on a preset priority rule, and the priority rule includes high-temperature waste heat priority direct heating and low-temperature waste heat graded storage to the phase change heat storage unit.

[0141] The actuator module 3 includes a heat exchange bypass valve, a circulating pump and a heat storage unit control valve, and the actuator module 3 is in communication connection with the intelligent controller 2, used for adjusting the valve opening, the pump speed and the heat storage unit start-stop state according to the control instruction, realizing the dynamic control of waste heat recovery and heating distribution.

[0142] Among them, through the modular design (sensor network, intelligent controller, actuator), the dynamic regulation and control of waste heat recovery and distribution is realized, and the problems of loose system structure and poor collaboration of traditional system are solved. For example, the sensor network module 1 collects multi-source data in real time and transmits them to the intelligent controller 2 through the communication link, the intelligent controller 2 generates control instructions and drives the actuator module 3 (valve, pump, heat storage unit) through the digital and electrical signal, and forms a closed loop control chain. This integrated architecture shortens the system response time to milliseconds and is easy to extend and link with other energy systems (such as solar energy).

[0143] The embodiment of the application provides an electronic device, such as Figure 3 As shown in the figure, Figure 3 The structure of an electronic device provided by the embodiment of the application is shown in the figure, Figure 3 The electronic device 300 shown in the figure includes a processor 301 and a memory 303. Wherein, the processor 301 and the memory 303 are connected, such as through the bus 302. Optionally, the electronic device 300 can also include a transceiver 304. It should be noted that the transceiver 304 is not limited to one in actual application, and the structure of the electronic device 300 does not constitute a limitation on the embodiment of the application.

[0144] The processor 301 can be a CPU (Central Processing Unit, central processor), a general-purpose processor, a DSP (Digital Signal Processor, data signal processor), an ASIC (Application Specific Integrated Circuit, application specific integrated circuit), an FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can realize or execute the various exemplary logical blocks, modules and circuits described in combination with the disclosure of the application. The processor 301 can also be a combination of computing functions, such as one or more microprocessor combinations, DSP and microprocessor combinations, etc.

[0145] The bus 302 can include a channel for transmitting information between the above-mentioned components. The bus 302 can be a PCI (Peripheral Component Interconnect, peripheral component interconnect) bus or an EISA (Extended Industry Standard Architecture, extended industry standard architecture) bus, etc. The bus 302 can be divided into address bus, data bus, control bus, etc. For the convenience of representation, Figure 3 In the figure, only one thick line is used to represent, but it does not mean that there is only one bus or one type of bus.

[0146] The memory 303 can be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read-Only Memory), a CD-ROM (Compact Disc Read-Only Memory) or other optical disk storage, a magnetic disk storage or other magnetic storage devices, or any other medium capable of storing desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited thereto.

[0147] The memory 303 is used to store application program codes for implementing the embodiments of the present application, and is controlled by the processor 301 to execute. The processor 301 is used to execute the application program codes stored in the memory 303 to realize the contents shown in the foregoing method embodiments.

[0148] The electronic device includes, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Personal Computers), PMPs (Portable Multimedia Players), car terminals (for example, car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. Figure 3 The electronic device shown is only an example, and should not bring any limitation to the functions and use range of the embodiments of the present application.

[0149] The embodiments of the present application provide a computer readable storage medium, and the computer readable storage medium stores a computer program. The computer program is executed by a processor to implement the steps of the compressor multi-dimensional detection comprehensive evaluation data processing method.

[0150] Since the embodiments of the computer readable storage medium part correspond to the embodiments of the method part, the embodiments of the computer readable storage medium part are described with reference to the description of the embodiments of the method part.

[0151] It should be understood that although the steps in the flowcharts of the drawings are shown in a sequential order following the arrows, the steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated otherwise herein, the execution of the steps is not strictly limited to the order indicated by the arrows, and can be executed in other orders. Moreover, at least some of the steps in the flowcharts of the drawings can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of which is not necessarily sequential, but can be round-robin or alternately executed with at least part of other steps or sub-steps or stages of other steps.

[0152] The above is only some embodiments of the present application, and it should be pointed out that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which should also be considered as the protection scope of the present application.

Claims

1. A data processing method for multi-dimensional detection and comprehensive evaluation of a compressor, characterized in that, The application relates to a heat recovery and distribution system, comprising: a sensor network module for real-time acquisition of multi-source data, wherein the multi-source data comprises an ambient temperature signal, a compressor cylinder cooling water temperature signal, a power exhaust temperature signal, a user end heating temperature signal and a circulating pipeline flow signal; an intelligent controller in communication connection with the sensor network module, configured to receive the multi-source data and generate a control instruction based on a preset priority rule, wherein the priority rule comprises high-temperature waste heat direct heating and low-temperature waste heat graded storage in a phase change heat storage unit; the control instruction is used for adjusting the opening degree of a heat exchange bypass valve, the rotating speed of a circulating pump and the start-stop state of the heat storage unit through a digital and electrical signal, so as to realize dynamic matching of waste heat recovery, heat storage release and heating demand; the priority rule further comprises, when the ambient temperature signal is lower than a first threshold value, the control instruction preferentially closes the heat storage unit valve and increases the rotating speed of the circulating pump, so as to directly transport high-temperature waste heat to the user end; when the ambient temperature signal is higher than a second threshold value, the control instruction opens the heat storage unit valve and reduces the rotating speed of the circulating pump, so as to store low-temperature waste heat in the phase change heat storage unit; when the compressor load change rate exceeds a preset threshold value, the intelligent controller generates a graded response instruction, and the opening degree of the heat exchange bypass valve, the rotating speed of the circulating pump and the opening-closing state of the heat storage unit valve are synchronously adjusted through a digital and electrical signal, so as to match the waste heat distribution demand under load fluctuation; the generation of the control instruction further comprises that the heat storage rate of the heat storage unit is monitored in real time through a digital and electrical signal, when the rate is lower than a preset threshold value, an auxiliary heat storage module access instruction is generated, and the current heat storage unit valve is closed to switch to the auxiliary module, and a maintenance reminding signal is triggered; according to the difference between the circulating pipeline flow signal and the user end heating temperature signal, the opening degree of the heat exchange bypass valve is adjusted in real time, so as to balance the waste heat recovery efficiency and the heating stability.

2. The method of claim 1, wherein, The multi-source data further comprises an outlet temperature signal of each stage heat exchanger, and the control instruction further comprises that the temperature difference between high-temperature waste heat and low-temperature waste heat is used as a criterion to switch the state of an independent pipeline valve through a digital and electrical signal, so as to realize physical isolation and priority distribution of a heat transfer path.

3. The method of claim 1, wherein, The multi-source data further comprises an ambient humidity signal, and the control instruction further comprises that when the ambient humidity signal exceeds a preset threshold value, the intermittent opening-closing frequency of the heat exchange bypass valve and the rotating speed of the circulating pump are controlled through a digital and electrical signal, so as to inhibit dewing and maintain waste heat recovery efficiency.

4. A data processing system for multi-dimensional detection and comprehensive evaluation of a compressor, which implements the method according to any one of claims 1 to 3, characterized in that, The application relates to a heat recovery and distribution system, comprising: a sensor network module for real-time acquisition of multi-source data, wherein the multi-source data comprises an ambient temperature signal, a compressor cylinder cooling water temperature signal, a power exhaust temperature signal, a user end heating temperature signal and a circulating pipeline flow signal; an intelligent controller in communication connection with the sensor network module, configured to receive the multi-source data and generate a control instruction based on a preset priority rule, wherein the priority rule comprises high-temperature waste heat direct heating and low-temperature waste heat graded storage in a phase change heat storage unit; An actuator module includes a heat exchange bypass valve, a circulating pump and a heat storage unit control valve, the actuator module is in communication connection with the intelligent controller, and is used for adjusting the opening degree of the heat exchange bypass valve, the rotating speed of the circulating pump and the start-stop state of the heat storage unit according to the control instruction, so as to realize the dynamic regulation and control of waste heat recovery and heating distribution.

5. An electronic device, comprising: Comprise: one or more processors; one or more memories; and one or more computer programs, wherein the one or more computer programs are stored in the one or more memories, the one or more computer programs comprise instructions, when the instructions are executed by the one or more processors, make the electronic device execute the method as claimed in any one of claims 1 to 3.

6. A computer readable storage medium characterized by, The storage medium has a program or instruction stored therein, when the program or instruction is executed, the method as claimed in any one of claims 1 to 3 is realized. The storage medium has a program or instruction stored therein, when the program or instruction is executed, the method as claimed in any one of claims 1 to 3 is realized.

Citation Information

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