Method, device and system for regulating and controlling electromechanical equipment in multiple areas in building

Abstract

The invention relates to a method, a device and a system for regulating and controlling electromechanical equipment in a plurality of areas in a building. The method comprises the following steps: acquiring the current energy consumption value of the electromechanical equipment under a machine room group control system; obtaining a comparison result of the energy consumption value and a target energy consumption value, and determining a corresponding target data model based on the comparison result and the operation parameters of the electromechanical equipment; wherein the target data model is used for generating a control logic combination so as to control the energy consumption value of the electromechanical equipment under the machine room group control system to meet a preset condition; the control logic combination represents a control parameter combination of each electromechanical device under the machine room group control system; and comparing the energy consumption values of the electromechanical devices in any two regions in the plurality of regions based on the target data models, and adjusting the target data model corresponding to the relatively high energy consumption value based on the target data model corresponding to the relatively low energy consumption value. According to the building automatic control system, the problem that the automatic control effect is poor due to the fact that the building automatic control system in the prior art adopts a single-system regional regulation and control mode is solved.

Description

Technical Field

[0001] The present application relates to the field of electromechanical equipment control, and in particular to a method, device and system for controlling electromechanical equipment in multiple areas of a building. Background Art

[0002] Existing building automation systems, such as computer room group control systems, use a single group control system to collect data from various units, sensors, and actuators at the terminal through the main control module, and then send it to the terminal for execution by programming the control logic in the main controller. Then, the host computer software sends a command to change the terminal equipment to the main control module, such as adjusting the pump frequency, host frequency, etc., and then the system is linked to adjust to achieve the purpose of automatic control. It can be seen that the existing single-system regional control method has limited operating data and requires fixed logic to be set in advance. Only by manually adjusting the parameter change program during operation can the system gradually reach a better operating state. The efficiency is too low, resulting in poor automatic control effect. Summary of the invention

[0003] The present application provides a method, device and system for regulating electromechanical equipment in multiple areas of a building, so as to solve the problem that the building automatic control systems in the prior art all adopt a single-system regional regulation method and have poor automatic control effects.

[0004] In the first aspect, the present application provides a method for controlling electromechanical equipment in multiple areas in a building, including: obtaining the current energy consumption value of the electromechanical equipment under the computer room group control system, wherein one computer room group control system corresponds to one area; obtaining a comparison result between the energy consumption value and the target energy consumption value, and determining a corresponding target data model based on the comparison result and the operating parameters of the electromechanical equipment; wherein the target data model is used to generate a control logic combination to control the energy consumption value of the electromechanical equipment under the computer room group control system to meet preset conditions; the control logic combination represents a control parameter combination of each electromechanical equipment under the computer room group control system; comparing the energy consumption values ​​of the electromechanical equipment in any two areas of the multiple areas based on the target data model, and adjusting the target data model corresponding to the higher energy consumption value based on the target data model corresponding to the lower energy consumption value, wherein the electromechanical equipment in any two areas are the same.

[0005] In the second aspect, the present application provides a control device for electromechanical equipment in multiple areas in a building, including: an acquisition module, used to obtain the current energy consumption value of the electromechanical equipment under the computer room group control system, wherein one computer room group control system corresponds to one area; a processing module, used to obtain the comparison result of the energy consumption value and the target energy consumption value, and determine the corresponding target data model based on the comparison result and the operating parameters of the electromechanical equipment; wherein the target data model is used to generate a control logic combination to control the energy consumption value of the electromechanical equipment under the computer room group control system to meet preset conditions; the control logic combination represents the control parameter combination of each electromechanical equipment under the computer room group control system; an adjustment module, used to compare the energy consumption values ​​of the electromechanical equipment in any two areas of the multiple areas based on the target data model, and adjust the target data model corresponding to the higher energy consumption value based on the target data model corresponding to the lower energy consumption value, wherein the electromechanical equipment in any two areas are the same.

[0006] In a third aspect, the present application provides a control system for electromechanical equipment in multiple areas of a building, including the device described in the second aspect.

[0007] In a fourth aspect, the present application provides an electronic device comprising: at least one communication interface; at least one bus connected to the at least one communication interface; at least one processor connected to the at least one bus; and at least one memory connected to the at least one bus, wherein the processor is configured to execute the method for controlling electromechanical equipment in multiple areas in a building as described in the first aspect of the present application.

[0008] In a fifth aspect, the present application further provides a computer storage medium storing computer executable instructions, wherein the computer executable instructions are used to execute the method for controlling electromechanical equipment in multiple areas of a building as described in the first aspect of the present application.

[0009] The above technical solution provided by the embodiment of the present application has the following advantages compared with the prior art: in the embodiment of the present application, after obtaining the energy consumption value of the electromechanical equipment in each computer room group control system, the corresponding target data model is determined according to the comparison result between the energy consumption value and the target energy consumption value, that is, by vertically comparing the energy consumption values ​​of the electromechanical equipment in the same computer room group control system, a target data model that is better for the current computer room group control system is obtained. Furthermore, it is also possible to make a horizontal comparison, that is, to compare the energy consumption values ​​of multiple computer room group control systems with the same electromechanical equipment, and adjust the target data model corresponding to the higher energy consumption value based on the target data model corresponding to the current lower energy consumption value. It can be seen that in the embodiment of the present application, a single single-system regional control method as in the related art is not adopted, but the corresponding target data model can be obtained after horizontal and vertical comparisons across the system to achieve the lowest energy consumption value and further save energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0011] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0012] One or more embodiments are exemplarily described by pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0013] Figure 1 A flow chart of a method for controlling electromechanical equipment in multiple areas of a building provided in an embodiment of the present application;

[0014] Figure 2 A schematic diagram of vertical energy-saving control optimization provided in an embodiment of the present application;

[0015] Figure 3 A schematic diagram of cross-server control of a building automation system with cloud-based adaptive energy-saving control provided in an embodiment of the present application;

[0016] Figure 4 A schematic diagram of horizontal energy-saving control optimization provided in an embodiment of the present application;

[0017] Figure 5 A schematic diagram of the structure of a control device for electromechanical equipment in multiple areas of a building provided in an embodiment of the present application;

[0018] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0020] The disclosure below provides many different embodiments or examples to implement different structures of the present invention. In order to simplify the disclosure of the present invention, the parts and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the present invention. In addition, the present invention can repeat reference numbers and / or letters in different examples. This repetition is for the purpose of simplification and clarity, and does not itself indicate the relationship between the various embodiments and / or settings discussed.

[0021] In order to solve the problem that the building automatic control systems in the prior art all adopt a single system regional control method, and their automatic control effect is poor, the present application provides a control method for electromechanical equipment in multiple areas in a building, such as Figure 1 As shown, the steps of the method include:

[0022] Step 101, obtaining the current energy consumption value of electromechanical equipment in the computer room group control system, wherein one computer room group control system corresponds to one area;

[0023] The building in the embodiment of the present application may be a building in a smart office building, a smart factory, a smart park, a smart hospital, etc., and the building includes multiple areas, each area corresponds to a computer room group control system, and each computer room group control system includes multiple electromechanical equipment, such as servers, lighting equipment, security equipment, air conditioning equipment, communication equipment, etc. The energy consumption value refers to the total energy consumption value of each electromechanical equipment in the current computer room group control system.

[0024] Step 102, obtaining a comparison result between the energy consumption value and the target energy consumption value, and determining a corresponding target data model based on the comparison result and the operating parameters of the electromechanical equipment; wherein the target data model is used to generate a control logic combination to control the energy consumption value of the electromechanical equipment under the computer room group control system to meet a preset condition; the control logic combination represents a control parameter combination of each electromechanical equipment under the computer room group control system;

[0025] In this regard, if the current energy consumption value is lower than the target energy consumption value, the data model determined based on the operating parameters of the current electromechanical equipment is the target data model; if the current energy consumption value is higher than the target energy consumption value, it is necessary to adjust the current operating parameters and then generate the corresponding target data model. It can be seen that the role of the data model in the embodiment of the present application is to compare the energy consumption data of electromechanical equipment in the computer room group control system, such as unit equipment, valves, water pumps, sensors and other equipment operating under different conditions and working conditions, and then obtain a better data source for the control logic, that is, the control logic combination generated by the target data model, which can control the energy consumption value of the electromechanical equipment in the computer room group control system to the expected value and achieve the purpose of energy saving.

[0026] Step 103, comparing the energy consumption values ​​of electromechanical equipment in any two areas of the multiple areas based on the target data model, and adjusting the target data model corresponding to the higher energy consumption value based on the target data model corresponding to the lower energy consumption value, wherein the electromechanical equipment in any two areas are the same.

[0027] The above step 102 is to compare the energy consumption values ​​of the node devices in the same computer room group control system to obtain the target data model, that is, to control the electromechanical equipment in the same computer room group control system vertically. However, in actual application scenarios, there may be multiple computer room group control systems, and the electromechanical equipment in the multiple computer room group control systems are the same. Therefore, in the embodiment of the present application, a horizontal comparison can also be performed. For computer room group control systems with the same electromechanical equipment, it is determined whether their energy consumption values ​​are the same under the same conditions. If they are different, it indicates that the target data model of the computer room group control system with a higher energy consumption value needs to be adjusted, and specifically, it can be adjusted based on the target data model of the computer room group control system with a lower energy consumption value.

[0028] Through the above steps 101 to 103, in the embodiment of the present application, after obtaining the energy consumption value of the electromechanical equipment in each computer room group control system, the corresponding target data model is determined according to the comparison result between the energy consumption value and the target energy consumption value, that is, by vertically comparing the energy consumption values ​​of the electromechanical equipment in the same computer room group control system, a target data model that is better for the current computer room group control system is obtained. Furthermore, it is also possible to compare horizontally, that is, compare the energy consumption values ​​of multiple computer room group control systems with the same electromechanical equipment, and adjust the target data model corresponding to the higher energy consumption value based on the target data model corresponding to the current lower energy consumption value. It can be seen that in the embodiment of the present application, a single single-system regional control method as in the related art is not adopted, but the corresponding target data model can be obtained after horizontal and vertical comparisons across the system to achieve the lowest energy consumption value and further save energy consumption.

[0029] In the embodiment of the present application, the method for obtaining the current energy consumption value of the electromechanical equipment in the computer room group control system involved in the above step 101 may further include:

[0030] Step 11, obtaining the operating parameters of each electromechanical device under the computer room group control system;

[0031] Step 12: determining the energy consumption value based on the operating parameters of the electromechanical equipment.

[0032] In this regard, in a specific example, the electromechanical equipment may include servers, lighting equipment, security equipment, air conditioning equipment, communication equipment, etc. Different application scenarios have different electromechanical equipment, and the energy consumption value of the corresponding electromechanical equipment can be obtained according to actual needs.

[0033] In the embodiment of the present application, if the current energy consumption value is lower than the target energy consumption value, it means that the current operating parameters of the electromechanical equipment are feasible, that is, the corresponding target data model can be generated according to the current operating parameters of the electromechanical equipment. If the current energy consumption value is higher than the target energy consumption value, it means that the operating parameters of the current electromechanical equipment need to be adjusted, and need to be adjusted to the expected value. Based on this, the method of determining the corresponding target data model based on the comparison results and the operating parameters of the electromechanical equipment involved in the above step 102 can further include:

[0034] Step 21, when the comparison result is that the energy consumption is less than or equal to the target energy consumption value, generating a corresponding first target data model based on the current operating parameters of the electromechanical equipment;

[0035] Step 22, when the comparison result is that the energy consumption is greater than the target energy consumption value, adjust the operating parameters of the electromechanical equipment, and generate a second target data model based on the adjusted operating parameters, wherein the second target data model generates a control logic combination to control the energy consumption value of the electromechanical equipment under the computer room group control system to be lower than the current energy consumption value.

[0036] It can be seen that in the embodiment of the present application, vertical data energy-saving adjustment can be performed, that is, the energy consumption value of the computer room group control system is compared with its own energy consumption value until an energy consumption value that meets the expectation is found, and then the corresponding target data model is generated. Further, for the method of adjusting the operating parameters of the electromechanical equipment involved in the above step 22, and generating a second target data model based on the adjusted operating parameters, it can further include:

[0037] Step 31, adjusting the operating parameters of the electromechanical equipment, and generating a first data model based on the adjusted operating parameters, wherein the first data model generates a control logic combination to control the first energy consumption value of the electromechanical equipment under the computer room group control system to be lower than the current energy consumption value;

[0038] Step 32, adjusting the operating parameters of the electromechanical equipment again, and generating a second data model based on the adjusted operating parameters, wherein the second data model generates a control logic combination to control the second energy consumption value of the electromechanical equipment under the computer room group control system to be lower than the first energy consumption value;

[0039] Step 33: determine the second target data model from the second data model.

[0040] In this regard, in a specific example, Figure 2As shown, taking the air-conditioning system as an example, the control mode initially set for the air-conditioning system records the unit operating status, refrigeration system equipment operating status, cooling system operating status, terminal sealing disk, fan, valve and other equipment status, taking the computer room group control as an example; the computer room energy efficiency value and energy consumption value are the final output result data, then the data involved in the computer room operation include unit parameters: such as power on / off, mode, operating frequency, etc.; water pump: start, shut down, operating frequency; valve: opening, opening feedback; sensor: pressure sensor, temperature sensor, humidity sensor; meter: water meter, electricity meter, heat meter, etc. That is, the initial data model can be generated through the above parameters, and the energy consumption data P of the initial data model can be recorded. The energy consumption data of the initial model is compared with the user's target energy consumption data P. When P≤P 目 , this regulation is over, the energy consumption data has met the set target value, and P is set as the target energy consumption value. When P≥P, the system will self-learn the logic between the devices in the initial logic data model, and generate data model 1. The data model generates a control logic combination to regulate the equipment operation status of the entire system, and records the energy consumption data as P1, satisfying P1≤P. At this time, the system takes P1 as the energy consumption target value, continues to perform logic optimization learning, generates data model 2, and then generates a control logic combination to regulate the equipment, records the energy consumption P2, and then compares it, and so on, continuously optimizing until Pn≤Pn-1, so as to achieve continuous optimization of the air-conditioning system and meet the continuous energy saving goals.

[0041] The above is an explanation of the horizontal data comparison in the embodiment of the present application, and the vertical data comparison will be explained below. Based on this, the method involved in the above step 103 of comparing the energy consumption values ​​of electromechanical equipment in any two areas of multiple areas based on the target data model, and adjusting the target data model corresponding to the higher energy consumption value based on the target data model corresponding to the lower energy consumption value, can further include:

[0042] Step 41, determining an area with the same electromechanical equipment among the multiple areas;

[0043] Step 42, selecting any two areas from the same area of ​​electromechanical equipment;

[0044] Step 43, comparing the energy consumption values ​​of the electromechanical equipment in any two areas until the area with the same electromechanical equipment is determined to have the lowest energy consumption value;

[0045] Step 44 , based on the target data model corresponding to the area with the lowest energy consumption value, other target data models corresponding to the same area of ​​the electromechanical equipment are adjusted.

[0046] It can be seen that for a building with multiple areas, the electromechanical equipment in the computer room group control system may also exist in the same area. For the electromechanical equipment in the same area, it is possible to determine which area has a lower energy consumption value through vertical comparison, and then adjust the target data model corresponding to the higher energy consumption value according to the target data model corresponding to the lower energy consumption value. Further, for the target data model corresponding to the area with the lowest energy consumption value involved in the above step 44, the method of adjusting other target data models corresponding to the same area of ​​electromechanical equipment may further include:

[0047] Step 51, comparing the first control logic combination generated by the target data model corresponding to the area with the lowest energy consumption value with the second control logic combination generated by other target data models;

[0048] Step 52, determining different control parameters in the first control logic combination and the second control logic combination;

[0049] Step 53: Adjust other target data models based on different control parameters.

[0050] In this regard, in a specific example, in the control logic combination of the air-conditioning room, the outlet water temperature is the same as T1, the equipment parameters are consistent, the operating frequency of the water pump in system 1 is X1 Hz, the main operating frequency is X2, and the energy consumption is P1. The operating frequency of the water pump in system 2 is Y1 Hz, the main operating frequency is Y2, and the energy consumption is P2. P2<P1, then system 2 horizontally regulates system 1 and changes the equipment operation state to meet the energy consumption optimization requirements. It can be seen that it is the operating frequency comparison coefficient of the main pump and the main machine of the two systems, and then operates after horizontal adjustment to system 1.

[0051] In addition, in an embodiment of the present application, vertical and horizontal data comparisons can be performed simultaneously, that is, after the vertical comparison of the production data model is completed, it is compared with the parameters and energy consumption data of the same equipment in another system across the service to form a comparison ratio value. At this time, the vertical logic group is input through the horizontal ratio value, and the energy consumption data obtained is compared with the energy consumption data of the control logic combination originally generated vertically. If it is better than the newly generated logic control combination, if it is not better, it will be operated according to the vertically generated control logic combination until a better ratio value of energy consumption data appears.

[0052] The present application is explained below in conjunction with the specific implementation of the embodiment of the present application. The specific implementation provides a cloud-based adaptive energy-saving control building automatic control system, such as Figure 3As shown, the system includes: computer room group control, terminal centralized control, photovoltaic energy storage scheduling, intelligent lighting and other systems, and is not limited to a single system control, including cross-system linkage control logic. The data between regions are stored in their respective control logic units in the cloud, and data is integrated across servers to form a multi-system collection of big data cloud platforms, providing a unified source of regional control data. The integrated cloud server includes the following modules:

[0053] System operation parameter and energy consumption data comparison unit: compare the operation status of electromechanical equipment in different areas (including various energy-consuming equipment in the building) and the related energy consumption data to form various data models. The data model is used to compare the energy consumption data of equipment such as units, valves, pumps and sensors under different conditions and working conditions, as a data source for generating better control logic.

[0054] Data storage unit: used to store the basic data model of each area and the data model generated after cross-server comparison. Among them, the existing computer room group control system is that one computer room corresponds to one server, so that the data model of each system is cut independently.

[0055] The cross-service in the embodiment of the present application refers to the network communication of each independent computer room group control system so that the data of the two systems can be interoperable. Specifically, it can be: through different cloud service data models, the data of the same equipment in each link under the same energy consumption is compared horizontally, and then the parameters are adjusted one by one to obtain P adjustment < P original, forming cross-service data adjustment, and the basic data model keeps changing with time, and the P adjustment < P original adjustment is always performed to continuously optimize the energy-saving effect of each service system.

[0056] Logic self-learning unit: used to collect and count the execution of logic control modules in the cloud of each region, and perform systematic statistical analysis according to different system and equipment parameters. The purpose of statistical analysis is to obtain the data correlation of units, execution and sensor equipment under the current control logic to establish a data model.

[0057] To this end, the specific measures can be: according to the initial setting of the control logic, record the operating parameters of each link of the system, and then give the system energy consumption P according to the set energy-saving target, and the changes in dynamic parameters such as the operating time, temperature, pressure, frequency, and rate of each device in the system to achieve the energy-saving stability of the system, and then reversely derive the energy consumption data according to the demand for terminal cooling, and then positively adjust the equipment parameters to repeat the adjustment process.

[0058] Control logic generation unit: used to generate a relatively more energy-saving control logic set through data collection, comparison, analysis, and data model learning of the above units.

[0059] In this regard, in a specific example, the current air conditioning unit operating frequency is 80Hz, the required outlet water temperature is 17 degrees, the water pump operating frequency is 50Hz, and the terminal required temperature is 24 degrees. When the air conditioning terminal temperature is raised by one degree, or the outdoor temperature drops, the data model analyzes that the air conditioning unit operating frequency of 70Hz can meet the outlet water temperature and meet the terminal use, so a new control logic group is generated, and the air conditioning is reduced to 70Hz to achieve energy saving.

[0060] Adaptive matching execution unit: used to self-identify and execute the generated control logic set according to regional characteristics. Among them, self-identification and execution according to regional characteristics means that the generated control logic combination includes the equipment of the unit and each actuator, each device in each area and the point of each device. The logic group will be uniquely identified according to the data tag such as the device ID information and data type, signal transmission method, etc., and then sent to the terminal for execution through hardware devices such as gateways.

[0061] Based on this, vertical data energy-saving control optimization is as follows Figure 2 As shown, taking the air-conditioning system as an example, the control mode initially set for the air-conditioning system records the unit operating status, refrigeration system equipment operating status, cooling system operating status, terminal sealing disk, fan, valve and other equipment status, taking the computer room group control as an example; the computer room energy efficiency value and energy consumption value are the final output result data, then the data involved in the computer room operation include unit parameters: such as power on / off, mode, operating frequency, etc.; water pump: start, shut down, operating frequency; valve: opening, opening feedback; sensor: pressure sensor, temperature sensor, humidity sensor; meter: water meter, electricity meter, heat meter, etc. That is, the initial data model can be generated through the above parameters, and the energy consumption data P of the initial data model can be recorded. The energy consumption data of the initial model is compared with the user's target energy consumption data P. When P≤P 目 , this regulation is over, the energy consumption data has met the set target value, and P is set as the target energy consumption value. When P≥P, the system will self-learn the logic between the devices in the initial logic data model, and generate data model 1. The data model generates a control logic combination to regulate the equipment operation status of the entire system, and records the energy consumption data as P1, satisfying P1≤P. At this time, the system takes P1 as the energy consumption target value, continues to perform logic optimization learning, generates data model 2, and then generates a control logic combination to regulate the equipment, records the energy consumption P2, and then compares it, and so on, continuously optimizing until Pn≤Pn-1, so as to achieve continuous optimization of the air-conditioning system and meet the continuous energy saving goals.

[0062] Vertical data control is based on data comparison and learning based on the data model of a single region. The number of devices, device types, and data volume are limited, and the generated data model type is single. Therefore, horizontal data is dynamically compared, such as Figure 4As shown in the figure, the logical set and data of each area are integrated through the regional cloud to form a cross-server data pool. The equipment operation data, corresponding energy consumption data and operation logic of each cloud are compared horizontally to generate a big data AI model, optimize and update the energy consumption data, and then match the control logic vertically. The control changes are sent to the regional cloud respectively, and finally sent to the terminal device for execution. The operation data of the monitoring area is continuously implemented and uploaded to the fusion data pool. As the data source is enriched and increased, the AI ​​self-learning big data model continuously generates more control logic modules, which are cyclically repeated, so that the building automatic control system can continuously adapt to the dynamic control of building equipment over time and continuously optimize the energy saving of building operation. For the combination of vertical and horizontal, in a specific example, each air-conditioning room system includes unit equipment, execution equipment, and sensor equipment. When the system is automatically operated through the control logic, all the equipment in a room forms a single data model. The model data records the operation status and mode of each device, as well as the energy consumption and energy efficiency value of the entire system. Vertically, the data is compared according to the time axis, the status of individual equipment or local system equipment is dynamically adjusted, and the energy consumption data is monitored to obtain a more energy-saving operation logic combination. Horizontal comparison data means that when the energy efficiency or energy consumption values ​​of two systems are the same during a certain operating period, the differences between the states of the same equipment in the two systems are compared to form a comparison. By referring to the comparison data, a new data model is established, and then the energy consumption data is reversely calculated for comparison, so as to obtain a more energy-saving control logic combination.

[0063] Through the specific implementation of the present application, the problem in the related art that the system is relatively independent, there are few sources of dynamic data, and there is no horizontal data comparison reference. After the initial setting of the system adjustment is completed, it cannot be adjusted with the changes in the environment, so that it cannot meet the original energy-saving target, or the energy-saving effect slowly decreases over time. Through the embodiment of the present application, the system operation data is dynamically adjusted, and the judgment conditions and logical execution of the system units, sensors, and executions are implemented through cloud big data comparison to ensure the energy-saving stability of the system, and reduce the interference of changes in factors such as local environment and system usage habits on the overall energy saving of the system. In addition, it also solves the long-term operation of a set of control logic solidified in the related technology, which needs to be analyzed, calculated, and compared manually, and then the control parameters and execution logic are adjusted and changed, and then written into the logic control module through programming. Not only is the efficiency low, but it is also affected by human factors, and the intelligent and automatic control effects are not good, and the operating energy consumption is uncontrolled. Through the comparison and automatic change of multiple logics in the embodiment of the present application, control is implemented for the target energy-saving effect, human management factors are eliminated, and AI automatic control is realized to meet the intelligent energy-saving control needs of the building automatic control system.

[0064] Corresponding to the above Figure 1 , the embodiment of the present application provides a control device for electromechanical equipment in multiple areas of a building, such as Figure 5As shown, the device comprises:

[0065] The acquisition module 502 is used to obtain the current energy consumption value of the electromechanical equipment in the computer room group control system, wherein one computer room group control system corresponds to one area;

[0066] The processing module 504 is used to obtain the comparison result between the energy consumption value and the target energy consumption value, and determine the corresponding target data model based on the comparison result and the operating parameters of the electromechanical equipment; wherein the target data model is used to generate a control logic combination to control the energy consumption value of the electromechanical equipment under the computer room group control system to meet the preset conditions; the control logic combination represents the control parameter combination of each electromechanical equipment under the computer room group control system;

[0067] The adjustment module 506 is used to compare the energy consumption values ​​of electromechanical equipment in any two areas of multiple areas based on the target data model, and adjust the target data model corresponding to the higher energy consumption value based on the target data model corresponding to the lower energy consumption value, wherein the electromechanical equipment in any two areas is the same.

[0068] In an embodiment of the present application, after obtaining the energy consumption value of the electromechanical equipment in each computer room group control system, the corresponding target data model is determined according to the comparison result between the energy consumption value and the target energy consumption value, that is, by vertically comparing the energy consumption values ​​of the electromechanical equipment in the same computer room group control system, a target data model that is better for the current computer room group control system is obtained. Furthermore, it is also possible to make a horizontal comparison, that is, compare the energy consumption values ​​of multiple computer room group control systems with the same electromechanical equipment, and adjust the target data model corresponding to the higher energy consumption value based on the target data model corresponding to the current lower energy consumption value. It can be seen that in the embodiment of the present application, a single single-system regional control method as in the related art is not adopted, but the corresponding target data model can be obtained after horizontal and vertical comparisons across the system to achieve the lowest energy consumption value and further save energy consumption.

[0069] In an optional implementation manner of an embodiment of the present application, the processing module in the embodiment of the present application may further include: a first processing unit, used to generate a corresponding first target data model based on the current operating parameters of the electromechanical equipment when the comparison result is that the energy consumption is less than or equal to the target energy consumption value; a second processing unit, used to adjust the operating parameters of the electromechanical equipment when the comparison result is that the energy consumption is greater than the target energy consumption value, and generate a second target data model based on the adjusted operating parameters, wherein the second target data model generates a control logic combination to control the energy consumption value of the electromechanical equipment under the computer room group control system to be lower than the current energy consumption value.

[0070] In an optional implementation manner of an embodiment of the present application, the second processing unit in the embodiment of the present application may further include: a first processing subunit, used to adjust the operating parameters of the electromechanical equipment, and generate a first data model based on the adjusted operating parameters, wherein the first data model generates a control logic combination to control the first energy consumption value of the electromechanical equipment under the computer room group control system to be lower than the current energy consumption value; a second processing subunit, used to adjust the operating parameters of the electromechanical equipment again, and generate a second data model based on the adjusted operating parameters, wherein the second data model generates a control logic combination to control the second energy consumption value of the electromechanical equipment under the computer room group control system to be lower than the first energy consumption value; a first determination subunit, used to determine the second data model as a second target data model.

[0071] In an optional implementation manner of the embodiment of the present application, the adjustment module in the embodiment of the present application may further include: a first determination unit, used to determine areas with the same electromechanical equipment among multiple areas; a selection unit, used to select any two areas from the areas with the same electromechanical equipment; a processing unit, used to compare the energy consumption values ​​of the electromechanical equipment in any two areas until the area with the lowest energy consumption value is determined from the areas with the same electromechanical equipment; an adjustment unit, used to adjust other target data models corresponding to the same areas with electromechanical equipment based on the target data model corresponding to the area with the lowest energy consumption value.

[0072] In an optional implementation manner of the embodiment of the present application, the adjustment unit in the embodiment of the present application may further include: a comparison subunit, used to compare the first control logic combination generated by the target data model corresponding to the area with the lowest energy consumption value with the second control logic combination generated by other target data models; a second determination subunit, used to determine the different control parameters in the first control logic combination and the second control logic combination; an adjustment subunit, used to adjust other target data models based on different control parameters.

[0073] In an optional implementation manner of the embodiment of the present application, the acquisition module in the embodiment of the present application may further include: an acquisition unit for acquiring the operating parameters of each electromechanical equipment under the computer room group control system; and a second determination unit for determining the energy consumption value based on the operating parameters of the electromechanical equipment.

[0074] like Figure 6 As shown, an embodiment of the present application provides an electronic device, including a processor 611, a communication interface 612, a memory 613 and a communication bus 614, wherein the processor 611, the communication interface 612, and the memory 613 communicate with each other through the communication bus 614.

[0075] Memory 613, used for storing computer programs;

[0076] In one embodiment of the present application, the processor 611 is used to execute the program stored in the memory 613 to implement the method for controlling electromechanical equipment in multiple areas of a building provided by any of the aforementioned method embodiments, and the role it plays is similar and will not be repeated here.

[0077] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of a method for controlling electromechanical equipment in multiple areas of a building as provided in any of the aforementioned method embodiments are implemented.

[0078] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0079] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a general hardware platform, and of course, by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the relevant technology can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0080] It should be understood that the terms used herein are only for the purpose of describing specific example embodiments and are not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms "one", "an" and "said" as used herein may also be meant to include plural forms. The terms "include", "comprise", "contain", and "have" are inclusive, and therefore specify the existence of stated features, steps, operations, elements and / or parts, but do not exclude the existence or addition of one or more other features, steps, operations, elements, parts, and / or combinations thereof. The method steps, processes, and operations described herein are not interpreted as necessarily requiring them to be performed in the specific order described or illustrated, unless the execution order is clearly indicated. It should also be understood that additional or alternative steps may be used.

[0081] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for controlling electromechanical equipment in multiple areas of a building, characterized in that: include: Obtain the current energy consumption value of electromechanical equipment in the computer room group control system, where one computer room group control system corresponds to one area; Obtaining a comparison result between the energy consumption value and the target energy consumption value, and determining a corresponding target data model based on the comparison result and the operating parameters of the electromechanical equipment; wherein the target data model is used to generate a control logic combination to control the energy consumption value of the electromechanical equipment under the computer room group control system to meet a preset condition; the control logic combination represents a control parameter combination of each electromechanical equipment under the computer room group control system; The energy consumption values ​​of electromechanical equipment in any two areas of the multiple areas are compared based on the target data model, and the target data model corresponding to the higher energy consumption value is adjusted based on the target data model corresponding to the lower energy consumption value, wherein the electromechanical equipment in any two areas are the same.

2. The method according to claim 1, characterized in that Determining a corresponding target data model based on the comparison result and the operating parameters of the electromechanical equipment includes: When the comparison result is that the energy consumption is less than or equal to the target energy consumption value, generating a corresponding first target data model based on the current operating parameters of the electromechanical equipment; When the comparison result is that the energy consumption is greater than the target energy consumption value, the operating parameters of the electromechanical equipment are adjusted, and a second target data model is generated based on the adjusted operating parameters, wherein the second target data model generates a control logic combination to control the energy consumption value of the electromechanical equipment under the computer room group control system to be lower than the current energy consumption value.

3. The method according to claim 2, characterized in that Adjusting the operating parameters of the electromechanical equipment and generating a second target data model based on the adjusted operating parameters includes: Adjusting the operating parameters of the electromechanical equipment, and generating a first data model based on the adjusted operating parameters, wherein the first data model generates a control logic combination to control the first energy consumption value of the electromechanical equipment under the computer room group control system to be lower than the current energy consumption value; Adjusting the operating parameters of the electromechanical equipment again, and generating a second data model based on the adjusted operating parameters, wherein the second data model generates a control logic combination to control the second energy consumption value of the electromechanical equipment under the computer room group control system to be lower than the first energy consumption value; The second data model is determined as the second target data model.

4. The method according to claim 1, characterized in that: Comparing the energy consumption values ​​of electromechanical equipment in any two areas of the multiple areas based on the target data model, and adjusting the target data model corresponding to the higher energy consumption value based on the target data model corresponding to the lower energy consumption value includes: determining an area in which electromechanical equipment is identical among the plurality of areas; Select any two areas from the areas where the electromechanical equipment is the same; Comparing the energy consumption values ​​of the electromechanical equipment in any two areas until the area with the same electromechanical equipment is determined to have the lowest energy consumption value; Based on the target data model corresponding to the area with the lowest energy consumption value, other target data models corresponding to the same area of ​​electromechanical equipment are adjusted.

5. The method according to claim 4, characterized in that Based on the target data model corresponding to the area with the lowest energy consumption value, other target data models corresponding to the same area of ​​electromechanical equipment are adjusted, including: Compare the first control logic combination generated by the target data model corresponding to the area with the lowest energy consumption value with the second control logic combination generated by other target data models; Determining different control parameters in the first control logic combination and the second control logic combination; Other target data models are adjusted based on the different control parameters.

6. The method according to claim 1, characterized in that Obtain the current energy consumption value of electromechanical equipment in the computer room group control system, including: Obtaining the operating parameters of each electromechanical device under the computer room group control system; The energy consumption value is determined based on operating parameters of the electromechanical device.

7. A control device for electromechanical equipment in multiple areas of a building, characterized in that: include: An acquisition module is used to obtain the current energy consumption value of electromechanical equipment under the computer room group control system, where one computer room group control system corresponds to one area; A processing module, used to obtain a comparison result between the energy consumption value and the target energy consumption value, and determine a corresponding target data model based on the comparison result and the operating parameters of the electromechanical equipment; wherein the target data model is used to generate a control logic combination to control the energy consumption value of the electromechanical equipment under the computer room group control system to meet a preset condition; the control logic combination represents a control parameter combination of each electromechanical equipment under the computer room group control system; An adjustment module is used to compare the energy consumption values ​​of electromechanical equipment in any two areas of the multiple areas based on the target data model, and adjust the target data model corresponding to the higher energy consumption value based on the target data model corresponding to the lower energy consumption value, wherein the electromechanical equipment in any two areas are the same.

8. A control system for electromechanical equipment in multiple areas of a building, characterized in that: Comprising the device as claimed in claim 7.

9. An electronic device, comprising: at least one communication interface; at least one bus connected to the at least one communication interface; at least one processor coupled to the at least one bus; At least one memory connected to the at least one bus, wherein the processor is configured to execute the method for controlling electromechanical equipment in multiple areas of a building as described in any one of claims 1 to 6.

10. A computer storage medium storing computer executable instructions, wherein the computer executable instructions are used to execute the method for controlling electromechanical equipment in multiple areas of a building as described in any one of claims 1 to 6.

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