Heat pump centralized control management system and method based on internet of things platform

Abstract

The application provides a heat pump centralized control management system and method based on an Internet of Things platform, comprising: a data acquisition module for acquiring operation data of a heat pump unit in real time; a data management module for uploading the operation data to a cloud platform and analyzing and processing the operation data according to the cloud platform to obtain an operation state of the heat pump unit; and a coordination control module for generating a coordination management strategy on the cloud platform according to the operation state of the heat pump unit and performing linkage control on the heat pump unit according to the coordination management strategy. The operation data of the heat pump unit is captured and acquired in real time and uploaded to the cloud platform, the cloud platform performs deep analysis on the operation data, thereby effectively generating the coordination management strategy, and then realizing unified management of all heat pump units and guaranteeing intelligent, efficient and refined management of multiple heat pump units.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of device control, in particular to a heat pump centralized control management system and method based on an Internet of Things platform. BACKGROUND

[0002] At present, in the actual application of heat pumps, when controlling multi-split units in large projects, it is particularly important to achieve efficient centralized control of multi-split units in the face of a large number of installed units.

[0003] However, the adjustment or modification of the current centralized logic control strategy often requires direct modification of the program and on-site burning, which is not only tedious and time-consuming, but also complicated in the customization and adjustment process of the centralized logic control strategy, greatly increasing the difficulty and cost of system maintenance. More importantly, this strict consistency requirement between the unit and the controller, as well as the limitation of the connection method, severely restricts the free combination ability of the unit, making it difficult for the system to adapt to diversified application scenarios and changes in demand, often making it difficult to quickly respond and adjust the load strategy, thereby affecting the overall operation efficiency and effect.

[0004] Therefore, in order to overcome the above-mentioned defects, the present application provides a heat pump centralized control management system and method based on an Internet of Things platform. SUMMARY

[0005] The present application provides a heat pump centralized control management system and method based on an Internet of Things platform, which captures and uploads the operation data of the heat pump unit to the cloud platform in real time, and the cloud platform analyzes the operation data in depth, thereby effectively generating a coordination management strategy, and realizing the unified management of all heat pump units, and ensuring the intelligent, efficient and fine management of multiple heat pump units.

[0006] The present application provides a heat pump centralized control management system based on an Internet of Things platform, comprising:

[0007] A data acquisition module for acquiring operation data of the heat pump unit in real time;

[0008] A data management module for uploading the operation data to the cloud platform and analyzing and processing the operation data according to the cloud platform to obtain the operation state of the heat pump unit;

[0009] A coordination control module for generating a coordination management strategy on the cloud platform according to the operation state of the heat pump unit, and for controlling the heat pump unit according to the coordination management strategy.

[0010] Preferably, a heat pump centralized control management system based on an Internet of Things platform, the data acquisition module comprises:

[0011] The monitoring type acquisition unit is configured to acquire a monitoring type for monitoring the heat pump unit, and determine a corresponding monitoring device according to the monitoring type, and obtain a device identifier of the monitoring device;

[0012] The sub-data acquisition package construction unit is configured to construct a sub-data acquisition package according to the device identifier;

[0013] The acquisition unit is configured to acquire operation data of the heat pump unit in real time according to the monitoring device, and read a data identifier of the operation data;

[0014] The data storage unit is configured to match the device identifier with the data identifier, and transmit the operation data into the corresponding sub-data acquisition package according to a matching result, so as to complete acquisition of the operation data of the heat pump unit.

[0015] Preferably, the heat pump centralized control management system based on the Internet of Things platform comprises a data management module, which comprises:

[0016] The adaptation unit is configured to adapt a plurality of heat pump units to an Internet of Things module of a cloud platform;

[0017] The communication unit is configured to acquire a communication protocol when the adaptation is successful, and transmit the operation data to the cloud platform according to the communication protocol;

[0018] The analysis and processing unit is configured to analyze and process the operation data according to the cloud platform, and obtain an operation state of the heat pump unit.

[0019] Preferably, the heat pump centralized control management system based on the Internet of Things platform comprises an adaptation unit, which comprises:

[0020] The communication information acquisition subunit is configured to read communication information of a plurality of heat pump units respectively, wherein the communication information comprises a communication interface and a communication requirement of the heat pump unit;

[0021] The Internet of Things module matching subunit is configured to read a requirement parameter in the communication requirement, and match a target Internet of Things module corresponding to each heat pump unit in a preset Internet of Things module library according to the requirement parameter and the communication interface of the heat pump unit;

[0022] The management interval creation subunit is configured to acquire a unit tag of each heat pump unit respectively, and create a corresponding management interval in the cloud platform according to the unit tag of each heat pump unit, and create a data receiving interval in the cloud platform;

[0023] The distributed connection subunit is configured to perform distributed connection between the data receiving interval and the management interval;

[0024] The data receiving subunit is configured to connect the cloud platform with the target Internet of Things module;

[0025] The docking success judgment subunit is used for judging whether the cloud platform and the target Internet of Things module are docked successfully;

[0026] The alarm reminding unit is used for sending an alarm reminder to the mobile terminal when the cloud platform and the target Internet of Things module fail to dock, and re-docking the cloud platform and the target Internet of Things module;

[0027] The data management subunit is used for reading and identifying the running data based on the data receiving interval when the cloud platform and the target Internet of Things module are docked successfully, and transmitting the reading and identifying result to the corresponding management interval.

[0028] Preferably, a heat pump centralized control management system based on an Internet of Things platform comprises a docking success judgment subunit, which comprises:

[0029] The data receiving subunit is used for:

[0030] transmitting the first real-time running data of the corresponding heat pump unit to the data receiving interval of the cloud platform based on the target Internet of Things module;

[0031] receiving the first real-time running data based on the data receiving interval to obtain second real-time running data;

[0032] The matching subunit is used for:

[0033] matching the first real-time running data with the second real-time running data;

[0034] if the first real-time running data matches the second real-time running data, it is determined that the cloud platform and the target Internet of Things module are docked successfully;

[0035] otherwise, it is determined that the cloud platform and the target Internet of Things module fail to dock.

[0036] Preferably, a heat pump centralized control management system based on an Internet of Things platform comprises an analysis and processing unit, which comprises:

[0037] The data preprocessing subunit is used for obtaining the running data of the heat pump unit, and classifying the running data based on the data source of the running data to obtain a multi-dimensional running data set;

[0038] The analysis and processing unit is used for:

[0039] extracting the data features of each dimension running data set in the multi-dimensional running data set, and determining the data category corresponding to each dimension running data set based on the data features;

[0040] The operation protocol of the heat pump unit is used to determine an analysis factor of each data category during operation of the heat pump unit and a limited index corresponding to the analysis factor, and a multi-dimensional analysis system is constructed based on the analysis factor and the limited index corresponding to the analysis factor;

[0041] The multi-dimensional operation data set is analyzed based on the multi-dimensional analysis system to obtain an equipment state of the heat pump unit under each data category, meanwhile, a subordinate limited relationship between the data categories is determined based on the operation protocol of the heat pump unit, and the equipment state of the heat pump unit under each data category is corrected based on the subordinate limited relationship, and an influence weight of the equipment state under each data category is determined based on a correction result;

[0042] The equipment state of the heat pump unit under each data category after correction is analyzed by weighting based on the influence weight, and a comprehensive state of the heat pump unit at a current time is obtained based on an analysis result of the weighted comprehensive analysis;

[0043] The monitoring and evaluation unit is configured to:

[0044] The comprehensive state of the heat pump unit at different time points within a preset time length is continuously monitored, and the comprehensive state at different time points is sorted based on a time development sequence;

[0045] A state fluctuation feature of the heat pump unit is obtained based on a sorting result, and a performance change trend of the heat pump unit is determined based on the state fluctuation feature, and an operation state of the heat pump unit is obtained based on the performance change trend.

[0046] Preferably, a heat pump centralized control management system based on an Internet of Things platform, a coordination management module, comprising:

[0047] An execution project information acquisition unit is configured to acquire a number of heat pump units in an execution project, and acquire an execution target of each heat pump unit in the execution project and a target weight of each heat pump unit in the execution project;

[0048] A benchmark state range determination unit is configured to determine a benchmark state range of each heat pump unit according to the execution target of each heat pump unit;

[0049] An adjustment direction determination unit is configured to read an operation state of each heat pump unit, and compare the operation state of each heat pump unit with the benchmark state range to determine an adjustment direction of each heat pump unit;

[0050] A coordination management strategy generation unit is configured to generate a coordination management strategy for the heat pump units according to the adjustment direction of each heat pump unit and the target weight of each heat pump unit in the execution project;

[0051] A linkage control unit is configured to:

[0052] Determine the coordination control sequence of each heat pump unit and the execution instruction of each heat pump unit according to the coordination management strategy;

[0053] According to the coordination control sequence and the execution instruction of each heat pump unit, the heat pump units are controlled in linkage.

[0054] Preferably, a heat pump centralized control management system based on an Internet of Things platform, the linkage control unit further comprises:

[0055] Read the start-up or shutdown process of each heat pump unit, and take the first start-up process as a positive output and the first shutdown process as a negative output;

[0056] Pre-set a temperature control period, and set a loading area, an unloading area, a maintaining area and an emergency stop area according to the start-up or shutdown process of each heat pump unit;

[0057] The loading area is used to start one more unit every other temperature control period.

[0058] The unloading area is used to shut down one more unit every other temperature control period.

[0059] The maintaining area is used to maintain the state of the last temperature control period, and one unit is started in the last temperature control period, and the loading is not performed after entering the area.

[0060] The emergency stop area is not affected by the temperature control period, and one unit is unloaded every 5 seconds until all units are shut down.

[0061] Preferably, a heat pump centralized control management system based on an Internet of Things platform further comprises:

[0062] The fault early warning module is used to perform a warning operation when the operating state of the heat pump unit reaches a warning condition.

[0063] The application provides a heat pump centralized control management method based on an Internet of Things platform, comprising:

[0064] Step 1: Real-time collection of operating data of heat pump units;

[0065] Step 2: Upload of the operating data to a cloud platform, and analysis and processing of the operating data according to the cloud platform to obtain an operating state of the heat pump units;

[0066] Step 3: Generation of a coordination management strategy according to the operating state of the heat pump units on the cloud platform, and linkage control of the heat pump units according to the coordination management strategy.

[0067] Compared with the prior art, the application has the following beneficial effects:

[0068] Through real-time capture of operation data of the heat pump unit and uploading to the cloud platform, the cloud platform effectively realizes generation of the coordination management strategy through deep analysis of the operation data, thereby realizing unified management of all heat pump units, and guaranteeing intelligent, efficient and fine management of multiple heat pump units.

[0069] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the application. The objects and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof.

[0070] The technical solutions of the present application will be further described in detail below with the help of the accompanying drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0071] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, illustrate the present application and explain the principles of the present application, and do not constitute a limitation of the present application. In the drawings:

[0072] Figure 1 The structure diagram of the heat pump centralized control management system based on the Internet of Things platform in the embodiment of the present application;

[0073] Figure 2 The project multi-connection schematic diagram in the heat pump centralized control management system based on the Internet of Things platform in the embodiment of the present application;

[0074] Figure 3 The heat pump unit adjustment control diagram in the refrigeration working process in the heat pump centralized control management system based on the Internet of Things platform in the embodiment of the present application;

[0075] Figure 4 The heat pump unit adjustment control diagram in the heating working process in the heat pump centralized control management system based on the Internet of Things platform in the embodiment of the present application;

[0076] Figure 5 The flowchart of the heat pump centralized control management method based on the Internet of Things platform in the embodiment of the present application. DETAILED DESCRIPTION

[0077] The preferred embodiments of the present application will be described below in combination with the accompanying drawings, and it should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and do not limit the present application.

[0078] Embodiment 1: The present embodiment provides a heat pump centralized control management system based on an Internet of Things platform, as shown in the accompanying drawings, comprising: Figure 1

[0079] The data acquisition module is used for real-time acquisition of operation data of the heat pump unit; ​

[0080] a data management module configured to upload operation data to a cloud platform and analyze and process the operation data according to the cloud platform to obtain an operation state of the heat pump unit;

[0081] a coordinated control module configured to generate a coordinated management strategy on the cloud platform according to the operation state of the heat pump unit and perform linkage control on the heat pump unit according to the coordinated management strategy.

[0082] In this embodiment, the operation data of the heat pump unit includes, but is not limited to, key data such as temperature, pressure, energy consumption, downtime or power-off duration.

[0083] In this embodiment, the operation data can be uploaded to the cloud platform by using a standard 4G Internet of Things module. The system can capture and upload the operation data of the unit to the cloud platform in real time. These data are stably transmitted through advanced communication protocols (such as MQTT or CoAP), ensuring the real-time and accuracy of the data.

[0084] In this embodiment, the operation state of the heat pump unit can be the operation state of each component of the heat pump unit, for example, the inlet and outlet temperatures of the evaporator, the operation power of the heat pump unit, etc.

[0085] In this embodiment, the cloud platform can easily access heat pump units of different brands, different models and different tonnages. Only the adaptation of the 4G Internet of Things module in the early stage is required, and the unified management of all units can be realized through the centralized control management platform system. This feature greatly simplifies the management process, reduces the management cost and provides a convenient and efficient solution for the management of multiple units in large projects. The project multi-unit schematic diagram is shown in Figure 2 .

[0086] In this embodiment, the coordinated management strategy is generated on the cloud platform according to the operation state of the heat pump unit, so as to automatically adjust the operation state of the heat pump unit and maximize the overall operation efficiency.

[0087] In this embodiment, the heat pump unit is multiple.

[0088] The working principle and beneficial effects of the above technical solution are as follows: the operation data of the heat pump unit is captured and collected in real time and uploaded to the cloud platform. The cloud platform analyzes the operation data in depth, thereby effectively generating a coordinated management strategy, and then realizing the unified management of all heat pump units and ensuring the intelligent, efficient and fine management of multiple heat pump units.

[0089] Embodiment 2: Based on embodiment 1, this embodiment provides a heat pump centralized control management system based on an Internet of Things platform, a data acquisition module, comprising:

[0090] The monitoring type acquisition unit is configured to acquire a monitoring type for monitoring the heat pump unit, and determine a corresponding monitoring device according to the monitoring type, and obtain a device identifier of the monitoring device;

[0091] The sub-data acquisition package construction unit is configured to construct a sub-data acquisition package according to the device identifier.

[0092] The acquisition unit is configured to acquire operation data of the heat pump unit in real time according to the monitoring device, and read a data identifier of the operation data.

[0093] The data storage unit is configured to match the device identifier with the data identifier, and transmit the operation data into the corresponding sub-data acquisition package according to a matching result, so as to complete acquisition of the operation data of the heat pump unit.

[0094] In this embodiment, the monitoring type can be used to represent the content or aspect of monitoring the heat pump unit, for example, the monitoring type includes temperature monitoring, pressure monitoring, etc.

[0095] In this embodiment, the device identifier can be used to distinguish different monitoring devices.

[0096] In this embodiment, the sub-data acquisition package can be constructed according to the device identifier, and the device identifier of the monitoring device corresponds to the sub-data acquisition package.

[0097] The working principle and beneficial effects of the above technical solution are as follows: by determining the monitoring type, the monitoring device is effectively determined, and then by determining the device identifier of the monitoring device, the establishment of the sub-data acquisition package is realized, so as to effectively realize the effective acquisition of the operation data.

[0098] Embodiment 3: Based on embodiment 1, this embodiment provides a heat pump centralized control management system based on an Internet of Things platform, and a data management module, which comprises:

[0099] The adaptation unit is configured to adapt a plurality of heat pump units to an Internet of Things module of the cloud platform.

[0100] The communication unit is configured to acquire a communication protocol after successful adaptation, and transmit the operation data to the cloud platform according to the communication protocol.

[0101] The analysis and processing unit is configured to analyze and process the operation data according to the cloud platform, and obtain an operation state of the heat pump unit.

[0102] In this embodiment, adapting the plurality of heat pump units to the Internet of Things module of the cloud platform can make the Internet of Things module determined in advance to be able to coordinate, normally communicate and work cooperatively with the heat pump units and the cloud platform.

[0103] In the embodiment, the Internet of Things module can include a hardware interface, a communication protocol data format, etc. The Internet of Things module can be matched with the communication requirements of the heat pump unit, and can also be seamlessly connected with the cloud platform to ensure that data can be accurately, stably and efficiently transmitted, exchanged and processed. The Internet of Things module includes a plurality of Internet of Things modules, and each Internet of Things module corresponds to a heat pump unit.

[0104] In the embodiment, the communication protocol can be used to realize the transmission of the operation data.

[0105] The working principle and beneficial effects of the above technical solution are as follows: by matching the Internet of Things module of the plurality of heat pump units with the cloud platform, the mutual coordination, normal communication and cooperative work between the heat pump units and the cloud platform can be effectively ensured. By obtaining the communication protocol, the transmission of the operation data can be effectively realized, and the analysis and processing of the operation data based on the cloud platform can be realized, thereby effectively ensuring the effectiveness of data transmission.

[0106] Embodiment 4: Based on the embodiment 3, the embodiment 4 provides a heat pump centralized control management system based on an Internet of Things platform, and the adaptation unit includes:

[0107] A communication information acquisition subunit is configured to read the communication information of the plurality of heat pump units, wherein the communication information includes the communication interface and the communication requirements of the heat pump units.

[0108] An Internet of Things module matching subunit is configured to read the requirement parameters in the communication requirements, and match the target Internet of Things module corresponding to each heat pump unit in the preset Internet of Things module library according to the requirement parameters and the communication interface of the heat pump unit.

[0109] A management interval creation subunit is configured to acquire the unit tags of each heat pump unit, and create the corresponding management interval in the cloud platform according to the unit tags of each heat pump unit, and create a data receiving interval in the cloud platform.

[0110] A distributed connection subunit is configured to perform distributed connection between the data receiving interval and the management interval.

[0111] A data receiving subunit is configured to connect the cloud platform with the target Internet of Things module.

[0112] A successful connection judgment subunit is configured to judge whether the cloud platform and the target Internet of Things module are successfully connected.

[0113] An alarm reminding unit is configured to send an alarm reminder to a mobile terminal when the cloud platform and the target Internet of Things module fail to be connected, and re-connect the cloud platform with the target Internet of Things module.

[0114] A data management subunit is configured to read and identify the operation data based on the data receiving interval when the cloud platform is successfully connected with the target Internet of Things module, and transmit the read and identified result to the corresponding management interval.

[0115] In this embodiment, the communication information can be used to represent the communication interface and communication requirement of the heat pump unit.

[0116] In this embodiment, the communication requirement can include a requirement parameter, and the requirement parameter can include a data transmission rate and the like.

[0117] In this embodiment, the unit tag can be used as a representation identifier for distinguishing different heat pump units.

[0118] In this embodiment, the management interval corresponds to the unit tag one by one, and is used to realize the management and analysis of the operation data.

[0119] In this embodiment, the data receiving interval can be used to realize the receiving of the operation data, and the received operation data is transmitted to the corresponding management interval.

[0120] In this embodiment, the alarm reminder can be sending an alarm message to the mobile terminal and the like.

[0121] The working principle and beneficial effects of the above technical solution are as follows: by determining the communication information of a plurality of heat pump units, the corresponding target Internet of Things module of each heat pump unit is effectively determined, the operation data is effectively received by creating a data receiving interval, the operation data is effectively managed and analyzed by constructing a management interval, thereby effectively and meticulously managing different heat pump units, and by performing the connection verification, the accurate transportation of the cloud platform and the target Internet of Things module is effectively ensured, thereby laying a good foundation for data communication.

[0122] Embodiment 5: Based on embodiment 4, this embodiment provides a heat pump centralized control management system based on an Internet of Things platform, and a connection success judgment subunit includes:

[0123] A data receiving subunit is configured to:

[0124] transmit the first real-time operation data of the corresponding heat pump unit to the data receiving interval of the cloud platform based on the target Internet of Things module;

[0125] receive the first real-time operation data based on the data receiving interval to obtain second real-time operation data;

[0126] A matching subunit is configured to:

[0127] match the first real-time operation data with the second real-time operation data;

[0128] If the first real-time running data matches the second real-time running data, it is determined that the cloud platform is successfully interfaced with the target Internet of Things module.

[0129] Otherwise, it is determined that the cloud platform fails to interface with the target Internet of Things module.

[0130] In this embodiment, the first real-time running data can be running data before transmission.

[0131] In this embodiment, the second real-time data can be running data received by the data receiving interval.

[0132] The working principle and beneficial effects of the above technical solution are: by matching the first real-time running data with the second real-time running data, it is effectively determined whether the cloud platform is successfully interfaced with the target Internet of Things module, thereby effectively guaranteeing the accuracy and effectiveness of the interface determination.

[0133] Embodiment 6: Based on embodiment 3, this embodiment provides a heat pump centralized management system based on an Internet of Things platform, an analysis processing unit, comprising:

[0134] A data preprocessing subunit is configured to obtain running data of a heat pump unit, and perform category splitting on the running data based on the data source of the running data to obtain a multi-dimensional running data set.

[0135] The analysis processing unit is configured to:

[0136] extract data features of each dimension running data set in the multi-dimensional running data set, and determine the data category corresponding to each dimension running data set based on the data features;

[0137] determine the analysis factors of each data category in the running process of the heat pump unit and the corresponding limiting indicators of the analysis factors based on the running protocol of the heat pump unit, and construct a multi-dimensional analysis system based on the analysis factors and the corresponding limiting indicators;

[0138] analyze the multi-dimensional running data set based on the multi-dimensional analysis system to obtain the equipment state of the heat pump unit under each data category, determine the subordinate limiting relationship between each data category based on the running protocol of the heat pump unit, and correct the equipment state of the heat pump unit under each data category based on the subordinate limiting relationship, and determine the influence weight of the equipment state under each data category based on the correction result;

[0139] perform weighted comprehensive analysis on the corrected equipment state of the heat pump unit under each data category based on the influence weight, and obtain the comprehensive state of the heat pump unit at the current time based on the weighted comprehensive analysis result.

[0140] The monitoring and evaluation unit is configured to:

[0141] The comprehensive state of the heat pump unit at different time points within a preset time length is continuously monitored, and the comprehensive states at different unit time points are sorted based on the time development sequence;

[0142] The state fluctuation characteristics of the heat pump unit are obtained based on the sorting result, and the performance change trend of the heat pump unit is determined based on the state fluctuation characteristics, and the running state of the heat pump unit is obtained based on the performance change trend.

[0143] In this embodiment, the data source can be a component or a device corresponding to the running data, so as to facilitate the determination of the type of the running data, and thus the category splitting of the running data is realized.

[0144] In this embodiment, the multi-dimensional running data set can be obtained by category splitting the running data according to the data source of the running data.

[0145] In this embodiment, the data characteristics can be the value range distribution of the data in each dimension running data set, and the association relationship and structure between the data, etc.

[0146] In this embodiment, the running protocol can be a standard or rule that needs to be followed by the heat pump unit during running.

[0147] In this embodiment, the analysis factor can be the direction when each data category needs to be analyzed, for example, the running efficiency and running power corresponding to the running data of the heat pump unit, etc.

[0148] In this embodiment, the limited index can be a specific value requirement corresponding to the analysis factor, for example, the running efficiency needs to reach 90%, etc.

[0149] In this embodiment, the multi-dimensional analysis system can be a mechanism capable of analyzing the running data constructed according to the analysis factor and the corresponding limited index.

[0150] In this embodiment, the dependent limited relationship can be an association relationship between different data categories, etc.

[0151] In this embodiment, the influence weight can represent the influence degree of different data categories on the device state, and the greater the value, the more serious the influence on the device state.

[0152] In this embodiment, the preset time length is set in advance.

[0153] In this embodiment, the state fluctuation characteristics can be the change of the comprehensive state of the heat pump unit at different unit time points, for example, stable running or continuous decline of the comprehensive state, etc.

[0154] In this embodiment, the performance change trend is determined according to the comprehensive state fluctuation characteristics, and the stronger the comprehensive state fluctuation is, the more unstable the performance remembered by the heat pump is.

[0155] The working principle and beneficial effects of the above technical solution are: by classifying the operation data of the heat pump unit and analyzing and processing the multi-dimensional operation data set obtained after classification, the equipment state of the heat pump unit under each data category is effectively determined, secondly, by determining the subordinate limiting relationship between different data categories, the equipment state under each data category is corrected according to the subordinate limiting relationship, thereby the comprehensive state of the heat pump unit at the current time is effectively determined, finally, the comprehensive equipment of the heat pump unit at different times is continuously monitored, and the monitoring results are analyzed, the performance change trend of the heat pump unit is analyzed, and the running state of the heat pump unit is effectively locked, thereby the intelligent, efficient and fine management of multiple heat pump units is ensured.

[0156] Embodiment 7: Based on embodiment 1, this embodiment provides a heat pump centralized control management system based on an Internet of Things platform, a coordination management module, comprising:

[0157] An execution project information acquisition unit is configured to acquire the number of heat pump units in an execution project, and acquire the execution target of each heat pump unit in the execution project and the target weight of each heat pump unit in the execution project;

[0158] A reference state range determination unit is configured to determine the reference state range of each heat pump unit according to the execution target of each heat pump unit;

[0159] An adjustment direction determination unit is configured to read the running state of each heat pump unit, and compare the running state of each heat pump unit with the reference state range to determine the adjustment direction of each heat pump unit;

[0160] A coordination management strategy generation unit is configured to generate a coordination management strategy for the heat pump unit according to the adjustment direction of each heat pump unit and the target weight of each heat pump unit in the execution project;

[0161] A linkage control unit is configured to:

[0162] Determine the coordination control sequence of each heat pump unit and the execution instruction of each heat pump unit according to the coordination management strategy;

[0163] Linkage control the heat pump unit according to the coordination control sequence and the execution instruction of each heat pump unit.

[0164] In this embodiment, the execution project can be the current business executed by the heat pump unit.

[0165] In this embodiment, the execution target can be the task and the purpose achieved by each heat pump unit in the execution project.

[0166] In this embodiment, the target weight can be the importance of each heat pump unit in the execution project.

[0167] In this embodiment, the reference state range can be the state corresponding to the normal operation of the heat pump unit.

[0168] The working principle and beneficial effects of the above technical solution are: by determining the execution project, execution target and corresponding number of the heat pump unit, the target weight of each heat pump unit is effectively determined, at the same time, the reference state range of each heat pump unit is obtained, the adjustment direction of each heat pump unit is effectively determined according to the reference state range, finally, the coordination management strategy for the heat pump unit is generated according to the adjustment direction and the target weight of each heat pump unit in the execution project, reliable linkage control of the heat pump unit is realized according to the generated coordination management strategy, and unified management of all heat pump units is realized.

[0169] Embodiment 8: Based on embodiment 7, this embodiment provides a heat pump centralized control management system based on an Internet of Things platform, a linkage control unit, further comprising:

[0170] Read the start-up or shutdown process of each heat pump unit, and take the first start-up process as positive output and the first shutdown process as negative output;

[0171] Pre-set a temperature control period, and set the loading area, unloading area, holding area and emergency stop area according to the start-up or shutdown process of each heat pump unit, respectively;

[0172] The loading area is used to start one more unit every other temperature control period.

[0173] The unloading area is used to turn off one more unit every other temperature control period.

[0174] The holding area is used to maintain the state of the last temperature control period, and one unit is started in the last temperature control period, and loading is not performed after entering the area.

[0175] The emergency stop area is not affected by the temperature control period, and one unit is unloaded every 5 seconds until all units are turned off.

[0176] In this embodiment, the above process follows the first start-first stop principle: each time the unit with the shortest running time (the longest shutdown time) is preferentially loaded, and each time the unit with the longest running time is preferentially unloaded.

[0177] In this embodiment, the number of units turned on is flexibly adjusted according to actual needs, so as to realize the maximization of energy saving while meeting the operation needs. Through intelligent scheduling and precise control, the overall operation process becomes more efficient and environmentally friendly, bringing significant economic benefits and social value to the enterprise.

[0178] In this embodiment, the specific examples are: the refrigeration working process heat pump unit adjustment control diagram is as shown in Figure 3 , and the heating working process heat pump unit adjustment control diagram is as shown in Figure 4 .

[0179] The working principle and beneficial effects of the above technical solution are: through intelligent scheduling and precise control, the overall operation process becomes more efficient and environmentally friendly, avoiding the problem of long-term overload operation of a single unit, ensuring the balanced allocation of the running time of each unit, and prolonging the service life of the unit.

[0180] Embodiment 9: Based on embodiment 1, this embodiment provides a heat pump centralized control management system based on an Internet of Things platform, further comprising:

[0181] A fault early warning module is configured to perform a warning operation when the operating state of the heat pump unit reaches a warning condition.

[0182] In this embodiment, the warning condition is set in advance.

[0183] The working principle and beneficial effects of the above technical solution are: through real-time monitoring of the operating state of the unit and data analysis, potential faults can be discovered and warned in time, and detailed fault information and processing suggestions are provided; in addition, the system also provides rich data analysis and visualization tools to help users intuitively understand the operating conditions, energy consumption distribution and failure rate of the unit, and provide strong support for subsequent maintenance, optimization and decision-making.

[0184] Embodiment 10: This embodiment provides a heat pump centralized control management method based on an Internet of Things platform, as shown in Figure 5 , comprising:

[0185] Step 1: Real-time collection of operating data of the heat pump unit;

[0186] Step 2: uploading the operating data to a cloud platform and analyzing and processing the operating data according to the cloud platform to obtain the operating state of the heat pump unit;

[0187] Step 3: generating a coordinated management strategy on the cloud platform according to the operating state of the heat pump unit, and performing linkage control on the heat pump unit according to the coordinated management strategy.

[0188] The working principle and beneficial effects of the above technical solution are: through real-time capture of the operation data of the heat pump unit and uploading to the cloud platform, the cloud platform analyzes the operation data in depth, thereby effectively realizing the generation of the coordination management strategy, and realizing the unified management of all heat pump units, and guaranteeing the intelligent, efficient and fine management of multiple heat pump units.

[0189] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application also intends to include these modifications and variations.

Claims

1. A heat pump centralized control and management system based on an Internet of Things (IoT) platform, characterized in that, include: The data acquisition module is used to collect real-time operating data of the heat pump unit; The data management module is used to upload operational data to the cloud platform and analyze and process the operational data based on the cloud platform to obtain the operating status of the heat pump unit. The coordination and control module is used to generate coordination and management strategies on the cloud platform based on the operating status of the heat pump unit, and to perform linkage control on the heat pump unit according to the coordination and management strategies. The coordination and control module includes: The project information acquisition unit is used to acquire the number of heat pump units in the project, and to acquire the execution target of each heat pump unit in the project and the target weight of each heat pump unit in the project. The reference state range determination unit is used to determine the reference state range of each heat pump unit according to the execution target of each heat pump unit. The adjustment direction determination unit is used to read the operating status of each heat pump unit, compare the operating status of each heat pump unit with the reference state range, and determine the adjustment direction of each heat pump unit. The coordination management strategy generation unit is used to generate a coordination management strategy for each heat pump unit based on the adjustment direction of each heat pump unit and the target weight of each heat pump unit in the project. The linkage control unit is used for: The coordination and control sequence of each heat pump unit and the execution instructions of each heat pump unit are determined according to the coordination and management strategy. The heat pump units are controlled in a coordinated manner according to the control sequence and the execution instructions of each heat pump unit. The linkage control unit also includes: Read the start-up or shutdown process of each heat pump unit, and take one start-up process as a positive output and one shutdown process as a negative output; The temperature control cycle is preset, and the following zones are set according to the start-up or shutdown process of each heat pump unit: loading zone, unloading zone, holding zone, and emergency stop zone. The loading zone is used to activate an additional unit every other temperature control cycle. The unloading area is used to shut down one more unit every temperature control cycle. The holding zone is used to maintain the state of the previous temperature control cycle within this zone. In the previous temperature control cycle, one unit was started, and no loading is performed after entering this zone. In the emergency stop zone, the temperature control cycle is ineffective; instead, one unit is unloaded every 5 seconds until all units are shut down.

2. The heat pump centralized control and management system based on an Internet of Things platform according to claim 1, characterized in that, The data acquisition module includes: The monitoring type acquisition unit is used to acquire the monitoring type of the heat pump unit, determine the corresponding monitoring device according to the monitoring type, and obtain the device identifier of the monitoring device. Sub-data acquisition package construction unit, used to construct sub-data acquisition packages based on device identifier; The data acquisition unit is used to collect real-time operating data of the heat pump unit from the monitoring device and read the data identifier of the operating data; The data storage unit is used to match the device identifier with the data identifier and transmit the operating data to the corresponding sub-data acquisition package according to the matching result, thereby completing the acquisition of the operating data of the heat pump unit.

3. The heat pump centralized control and management system based on an Internet of Things platform according to claim 1, characterized in that, The data management module includes: An adapter unit is used to adapt several heat pump units to the cloud platform for IoT module compatibility. The communication unit is used to obtain the communication protocol after successful adaptation and transmit the runtime data to the cloud platform according to the communication protocol. The analysis and processing unit is used to analyze and process the operating data based on the cloud platform to obtain the operating status of the heat pump unit.

4. The heat pump centralized control and management system based on an Internet of Things platform according to claim 3, characterized in that, The adapter unit includes: The communication information acquisition subunit is used to read the communication information of several heat pump units respectively. The communication information includes the communication interface and communication requirements of the heat pump units. The IoT module matching subunit is used to read the demand parameters in the communication requirements and match the target IoT module corresponding to each heat pump unit in the preset IoT module library according to the demand parameters and the communication interface of the heat pump unit. The management area creates sub-units to obtain the unit tag of each heat pump unit and create a corresponding management area on the cloud platform based on the unit tag of each heat pump unit. At the same time, a data receiving area is created on the cloud platform. The distributed connection subunit is used to establish a distributed connection between the data receiving area and the management area; The data receiving subunit is used to interface the cloud platform with the target IoT module; The successful docking determination subunit is used to determine whether the cloud platform and the target IoT module have been successfully docked. The alarm notification unit is used to send an alarm notification to the mobile terminal when the cloud platform fails to connect with the target IoT module, and then reconnect the cloud platform with the target IoT module. The data management subunit is used to read and identify the running data based on the data receiving range when the cloud platform and the target IoT module are successfully connected, and then transmit the data to the corresponding management range according to the reading and identification results.

5. A heat pump centralized control and management system based on an Internet of Things platform according to claim 4, characterized in that, Successful docking is determined by the following sub-units: The data receiving subunit is used for: Based on the target IoT module, the first real-time operation data of the corresponding heat pump unit is transmitted to the data receiving area of ​​the cloud platform; The first real-time running data is received according to the data receiving interval to obtain the second real-time running data; IoT module matching subunit, used for: Match the first real-time running data with the second real-time running data; If the first real-time running data matches the second real-time running data, it is determined that the cloud platform and the target IoT module have successfully connected. Otherwise, the connection between the cloud platform and the target IoT module is deemed to have failed.

6. The heat pump centralized control and management system based on an Internet of Things platform according to claim 3, characterized in that, Analysis and processing unit, including: The data preprocessing subunit is used to acquire the operating data of the heat pump unit and to classify the operating data based on its data source to obtain a multi-dimensional set of operating data. Analysis and processing unit, used for: Extract the data features of each dimension of the multi-dimensional running dataset, and determine the data category corresponding to each dimension of the running dataset based on the data features; Based on the operation protocol of the heat pump unit, the analysis factors and corresponding limiting indicators for each data category during the operation of the heat pump unit are determined, and a multi-dimensional analysis system is constructed based on the analysis factors and corresponding limiting indicators. Based on a multi-dimensional analysis system, the multi-dimensional operation data set is analyzed to obtain the equipment status of the heat pump unit under each data category. At the same time, based on the operation protocol of the heat pump unit, the subordinate relationship between each data category is determined, and the equipment status of the heat pump unit under each data category is corrected based on the subordinate relationship. Based on the correction result, the influence weight of the equipment status under each data category is determined. Based on the influence weights, a weighted comprehensive analysis is performed on the corrected equipment status of the heat pump unit under each data category, and the comprehensive status of the heat pump unit at the current moment is obtained based on the weighted comprehensive analysis results. Monitoring and evaluation unit, used for: The overall status of the heat pump unit is continuously monitored at different times within a preset time period, and the overall status at different unit times is sorted according to the time development sequence. Based on the sorting results, the state fluctuation characteristics of the heat pump unit are obtained, and the performance change trend of the heat pump unit is determined based on the state fluctuation characteristics. Based on the performance change trend, the operating status of the heat pump unit is obtained.

7. The heat pump centralized control and management system based on an Internet of Things platform according to claim 1, characterized in that, Also includes: The fault warning module is used to issue a warning when the operating status of the heat pump unit reaches the warning condition.

8. A heat pump centralized control management method based on an Internet of Things platform, characterized in that, include: Step 1: Collect real-time operating data of the heat pump unit; Step 2: Upload the operating data to the cloud platform, and analyze and process the operating data based on the cloud platform to obtain the operating status of the heat pump unit; Step 3: Generate a coordination management strategy on the cloud platform based on the operating status of the heat pump unit, and perform linkage control on the heat pump unit according to the coordination management strategy; Step 3 includes: Obtain the number of heat pump units in the execution project, and obtain the execution target and target weight of each heat pump unit in the execution project; The baseline state range for each heat pump unit is determined based on the execution objectives of each heat pump unit. Read the operating status of each heat pump unit and compare the operating status of each heat pump unit with the reference status range to determine the adjustment direction of each heat pump unit; A coordinated management strategy for the heat pump units is generated based on the adjustment direction of each heat pump unit and the target weight of each heat pump unit in the project. The coordination and control sequence of each heat pump unit and the execution instructions of each heat pump unit are determined according to the coordination and management strategy. The heat pump units are controlled in a coordinated manner according to the control sequence and the execution instructions of each heat pump unit. Read the start-up or shutdown process of each heat pump unit, and take one start-up process as a positive output and one shutdown process as a negative output; The temperature control cycle is preset, and the following zones are set according to the start-up or shutdown process of each heat pump unit: loading zone, unloading zone, holding zone, and emergency stop zone. The loading zone is used to activate an additional unit every other temperature control cycle. The unloading area is used to shut down one more unit every temperature control cycle. The holding zone is used to maintain the state of the previous temperature control cycle within this zone. In the previous temperature control cycle, one unit was started, and no loading is performed after entering this zone. In the emergency stop zone, the temperature control cycle is ineffective; instead, one unit is unloaded every 5 seconds until all units are shut down.

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