A general-purpose device facility operating state safety acquisition method, device and system

Abstract

The application discloses a general-purpose equipment operation state safety acquisition method, device and system, relates to the technical field of data processing, and comprises the following steps: acquiring operation state data of general-purpose equipment and environment monitoring data of each monitoring moment; determining adjustable range coefficients of each parameter type based on all adjustable ranges of different parameter types in the operation state data; calculating a number of collaborative control performance values corresponding to a current parameter type based on the adjustable range coefficients and a parameter type sequence corresponding to the adjustable range coefficients; calculating an acquisition necessity degree of a type corresponding to a current implementation environment based on the collaborative control performance values and the environment monitoring data; and filtering data that needs to be calculated or acquired from the operation state data of the general-purpose equipment based on the acquisition necessity degree, so as to regulate and control an acquisition process of the operation state data. The application achieves the technical effect of realizing accurate regulation and control of equipment operation state safety data acquisition.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, specifically to a general method, device, and system for safely collecting the operational status of equipment and facilities. Background Technology

[0002] General-purpose equipment refers to equipment that can be widely used in multiple industries or scenarios. Its functions are relatively universal and not specific to a particular professional field, such as pumps, fans, compressors, and valves. These devices are highly versatile and widely used in industrial production. General-purpose equipment is not limited to a single piece of equipment. To meet the needs of multi-functional processing, it is necessary to configure multi-directional moving parts and complex transmission systems. For example, general-purpose machine tools need to be configured with adjustable fixtures and tooling systems, which are suitable for single-piece or small-batch production scenarios. Adjustable fixture equipment can also be regarded as a type of general-purpose equipment, as they all meet the functional requirements of multiple fields.

[0003] Due to the modular design of general-purpose equipment, the actual operation status safety data acquisition process requires not only analysis of the changes in various parameters within the equipment itself, but also consideration of the collaborative process between multiple systems. This changes the equipment's general adaptability. Currently, in the data acquisition process, analysis is only performed based on the operating parameters under a single usage scenario, which cannot achieve precise control of the equipment's operation status safety data acquisition. Summary of the Invention

[0004] To address the technical problem in related technologies that rely solely on operational parameters under a single usage scenario for analysis, which fails to achieve precise control of equipment operating status safety data collection, this invention provides a universal method, device, and system for collecting equipment and facility operating status safety data.

[0005] The specific technical solution adopted is as follows:

[0006] Acquire operational status data of general-purpose equipment and environmental monitoring data at various monitoring times;

[0007] Based on all adjustable ranges of different parameter types in the operational status data, determine the adjustable range coefficients for each parameter type;

[0008] Based on the adjustable range coefficient and the parameter type order corresponding to the adjustable range coefficient, the collaborative control performance value corresponding to the current parameter type is calculated. The collaborative control performance value is used to represent the control error performance capability of the corresponding parameter type.

[0009] Based on the performance values ​​of collaborative control and environmental monitoring data, the necessity of collecting the corresponding types of environmental data in the current implementation environment is calculated.

[0010] Based on the necessary degree of collection, the data required for calculation or collection is selected from the running state data of the general-purpose device to regulate the collection process of the running state data.

[0011] In a possible implementation of the present application, based on the adjustable range coefficient and the parameter type order corresponding to the adjustable range coefficient, the cooperative control performance value corresponding to the number of current parameter types is calculated, including:

[0012] Based on the parameter type order corresponding to the adjustable range coefficient, the adjustable range coefficients are arranged according to the parameter type order to construct an adjustable vector;

[0013] Based on the adjustable vector and the influence degree of different environmental factors on the adjustable range coefficient, the device general performance coefficient of each parameter type is calculated;

[0014] Based on the device general performance coefficient and the adjustable vector, the cooperative control performance value is calculated.

[0015] In a possible implementation of the present application, based on the adjustable vector and the influence degree of different environmental factors on the adjustable range coefficient, the device general performance coefficient of each parameter type is calculated, including:

[0016] Determine the first adjustable range coefficient corresponding to each parameter type under different environmental factors;

[0017] Calculate the first average value of the absolute value of the difference between the adjustable range coefficient corresponding to each parameter type and the first adjustable range coefficient, and the first absolute value of the difference between the adjustable vector and the preset standard adjustable vector;

[0018] Based on the ratio between the first average value and the first absolute value, the device general performance coefficient of each parameter type is calculated.

[0019] In a possible implementation of the present application, based on the device general performance coefficient and the adjustable vector, the cooperative control performance value is calculated, including:

[0020] Determine the first adjustable vector corresponding to the output data of the output device and the second adjustable vector corresponding to the input data of the input device;

[0021] Calculate the first difference between the first adjustable vector and the adjustable vector of the general-purpose device, and the second difference between the second adjustable vector and the adjustable vector of the general-purpose device;

[0022] Calculate the first sum between the first difference and the second difference and the second average value of the device general performance coefficient corresponding to each parameter type;

[0023] Based on the normalization value between the first sum and the second average value, the cooperative control performance value is calculated.

[0024] In a possible implementation of the present application, the adjustable range coefficient of each parameter type is determined based on all adjustable ranges of different parameter types in the running state data, including:

[0025] The minimum value of the adjustable range and the maximum value of the adjustable range are selected from all adjustable ranges of the parameter types;

[0026] The adjustable range coefficient of each parameter type is calculated based on the normalized value of the difference between the maximum value of the adjustable range and the minimum value of the adjustable range.

[0027] In a possible implementation of the present application, the collection necessity degree of the corresponding type number of the current implementation environment is calculated based on the cooperative control performance value and the environmental monitoring data, including:

[0028] The multiple implementation environments corresponding to the general-purpose device are determined based on the environmental monitoring data;

[0029] The first cooperative control performance value under the implementation environment and the corresponding type number of the implementation environment is determined;

[0030] The average value of the difference between the cooperative control performance value and the first cooperative control performance value is inversely normalized to obtain the collection necessity degree of the corresponding type number of the current implementation environment.

[0031] In a possible implementation of the present application, the data that needs to be calculated or collected is selected from the running state data of the general-purpose device based on the collection necessity degree, including:

[0032] The parameter collection threshold is calculated based on the collection necessity degree corresponding to different implementation environments;

[0033] When the parameter collection threshold of the running state data corresponding to each implementation environment is greater than the final preset threshold, it is determined that the running state data corresponding to the collection necessity degree is the data that needs to be calculated or collected.

[0034] In a possible implementation of the present application, the parameter collection threshold is calculated based on the collection necessity degree corresponding to different implementation environments, including:

[0035] The third difference between the collection necessity degrees corresponding to adjacent real-time environment serial numbers is calculated;

[0036] The ratio between the third difference and the average value of the third difference corresponding to different implementation environments is subtracted from the preset value to calculate the parameter collection threshold.

[0037] To achieve the above-mentioned purpose, a general-purpose device facility running state safety collection device is also provided, and the device comprises:

[0038] The acquisition module is configured to acquire the running state data of the general-purpose device and the environmental monitoring data at each monitoring time point.

[0039] The determination module is configured to determine the adjustable range coefficient of each parameter type based on all adjustable ranges of different parameter types in the running state data.

[0040] The first calculation module is configured to calculate the collaborative control performance value corresponding to the number of parameter types based on the adjustable range coefficient and the sequence of parameter types corresponding to the adjustable range coefficient, wherein the collaborative control performance value is used to represent the control error performance capability of the number of parameter types.

[0041] The second calculation module is configured to calculate the collection necessity degree of the number of types corresponding to the current implementation environment based on the collaborative control performance value and the environmental monitoring data.

[0042] The screening module is configured to screen the data that needs to be calculated or collected from the running state data of the general-purpose device based on the collection necessity degree, so as to regulate the collection process of the running state data.

[0043] To achieve the above-mentioned purpose, a general-purpose device facility running state safety collection system is also provided, which comprises a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements the steps of the general-purpose device facility running state safety collection method when executing the computer program.

[0044] The present application has the following technical effects, including but not limited to:

[0045] By acquiring the running state data of the general-purpose device and the environmental monitoring data at each monitoring time point, and then determining the adjustable range coefficient of each parameter type based on all adjustable ranges of different parameter types in the running state data, and then calculating the collaborative control performance value corresponding to the number of parameter types based on the adjustable range coefficient and the sequence of parameter types corresponding to the adjustable range coefficient, and then determining the collection necessity degree of the number of types corresponding to the current implementation environment based on the collaborative control performance value and the environmental monitoring data, and then screening the data that needs to be calculated or collected from the running state data of the general-purpose device based on the collection necessity degree, so as to regulate the collection process of the running state data, in the present application, the collection necessity degree of the number of different parameter types is calculated by combining the multiple different parameter types in the running state data, the collaborative control performance value corresponding to the number of parameter types, and the different implementation environments in the environmental monitoring data, and then the data that needs to be calculated or collected is screened from the running state data of the general-purpose device based on the collection necessity degree, instead of analyzing the running parameters in a single use scenario, so as to realize the precise regulation and control of the device running state safety data collection. BRIEF DESCRIPTION OF DRAWINGS

[0046] Figure 1 Flowchart of the first embodiment of the general-purpose equipment and facility operation state safety acquisition method of the present application;

[0047] Figure 2 Device structure diagram of the hardware operating environment involved in the embodiment of the present application. DETAILED DESCRIPTION

[0048] It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0049] The embodiment of the present application provides a general-purpose equipment and facility operation state safety acquisition method. In the first embodiment of the general-purpose equipment and facility operation state safety acquisition method of the present application, referring to Figure 1 , the method comprises:

[0050] Step S10, acquiring the operation state data of the general-purpose equipment and the environmental monitoring data of each monitoring time.

[0051] As an example, the acquisition process of the operation state data of the general-purpose equipment can be completed by the data transmission interface of the Internet of Things equipment and the equipment itself. The acquisition steps are as follows:

[0052] 1. Determine the relevant data types of the data input and output interfaces of the general-purpose equipment;

[0053] 2. Synchronously collect the temperature data and related hardware and software detection data of the test process.

[0054] Among them, the environmental detection data can be temperature data, equipment implementation environment data, and environmental factor data involved in the equipment operation process.

[0055] As an example, the operation state data also includes electrical data of the general-purpose equipment, such as parameter adjustment range of all types of equipment parameters.

[0056] As an example, due to the functional use of the equipment itself, the change of the multi-type parameters of the general-purpose equipment will change, and accordingly, the collaborative process between multiple systems will also change the general adaptability analysis of the equipment, for example, the temperature sensor and the automatic holding equipment have obvious differences in solid-state data acquisition and analysis, and the collaborative process between devices actually reduces the general-purpose of the current general-purpose equipment, which is the coupling between multiple device systems, which affects the safety of equipment operation, Therefore, the general adaptability of the general-purpose equipment needs to be analyzed in detail according to the actual use scene, so as to realize the precise regulation and control of the equipment operation state safety data acquisition.

[0057] Step S20, based on all adjustable ranges of different parameter types in the running state data, determine the adjustable range coefficient of each parameter type.

[0058] As an example, the versatility of the device is actually to adapt to more production scenarios, there are multi-system regulation structures, which are related to the actual use of the device. If it is similar to a general sensor, it does not have a corresponding complex performance, and the versatility of the device depends more on the device itself, so there is no influence of the related devices associated with it, and for the analysis of the running state of the device, only the relevant data analysis of itself is needed. For the versatility of the device, it is mainly reflected in the accuracy, breadth and adjustment dimension of multiple parameters that can be adjusted by related devices, that is, the number of parameters that can be adjusted by the device and the interaction between parameters. The more the dimensions, the more complex the conditions that can be adapted, the better the versatility of the device. Based on this, the adjustable range coefficients of each parameter type of the versatile device are calculated based on all adjustable ranges of different parameter types in the running state data.

[0059] Among them, step S20 includes:

[0060] Select the minimum value of the adjustable range and the maximum value of the adjustable range from all parameter types.

[0061] Based on the normalized value of the difference between the maximum value of the adjustable range and the minimum value of the adjustable range, the adjustable range coefficient of each parameter type is calculated.

[0062] As an example, the adjustable range of all parameter types is a preset value. For each parameter type, there can be different adjustment values, that is, there is a corresponding adjustment range. The maximum value of the adjustment range is the maximum value of the adjustable range, and the minimum value of the adjustable range is the same.

[0063] As an example, taking the i-th parameter type as an example, the adjustable range coefficient The calculation method can be:

[0064]

[0065] Among them, represents the adjustable range coefficient of the i-th parameter type, represents the maximum value of the adjustable range of the i-th parameter type, represents the minimum value of the adjustable range of the i-th parameter type, and norm() represents a normalization function. Similarly, the adjustable range coefficients of other parameter types can be calculated.

[0066] ​​​Step S30: Based on the adjustable range coefficient and the parameter type order corresponding to the adjustable range coefficient, calculate the number of collaborative control performance values ​​corresponding to the current parameter type. The collaborative control performance values ​​are used to represent the control error performance capability of the number of parameters corresponding to the parameter type.

[0067] As an example, the adjustable range coefficients of different parameter types are arranged according to the preset parameter types. Based on the parameter type order corresponding to the adjustable range coefficients, an adjustable vector is constructed for all parameter types. Then, based on the changes in the adjustable vector and the changes in the adjustable range coefficients, the collaborative control performance value is obtained. When adjusting the parameters of general-purpose equipment, it is necessary not only to pay attention to the adjustment range of the adjustable parameters of the equipment, but also to determine the number of parameters that need to be adjusted. The collaborative control performance value is used to represent the control error performance capability of the general-purpose equipment when the number of parameter types to be adjusted is k (where k = 1, 4, 6, etc.). However, the larger the collaborative control performance value, the more obvious or stronger the control error performance capability.

[0068] Step S30 includes:

[0069] Step S31: Based on the parameter type order corresponding to the adjustable range coefficients, arrange each adjustable range coefficient in the parameter type order to construct an adjustable vector.

[0070] As an example, based on the adjustable range coefficients of all parameter types and the preset parameter type order, the adjustable range coefficients of all parameter types are used as element values ​​of the corresponding parameter type order to form an adjustable vector. ;

[0071]

[0072] Among them, the adjustable vector of the device When the implementation environment changes, the values ​​of each element will change. That is, the values ​​of the corresponding environmental parameters are obtained by using the corresponding equipment according to the specific implementation environment. For parameters that are not used in the implementation environment, the corresponding element does not have a corresponding adjustable range coefficient value.

[0073] Step S32: Based on the adjustable vector and the degree of influence of different environmental factors on the adjustable range coefficient, calculate the general performance coefficient of the device for each parameter type.

[0074] As an example, the device general performance coefficient is used to measure the degree of general performance of various devices, or the scene adaptation performance. The larger the device general performance coefficient, the better the general performance of the current device.

[0075] Step S32 includes:

[0076] determining the first adjustable range coefficient corresponding to each parameter type under different environmental factors;

[0077] As an example, after calculating the adjustable range coefficient, the environmental factor is taken as a variable, and the adjustable range coefficient corresponding to the parameter type under different environmental factors is calculated, that is, the first adjustable range coefficient.

[0078] calculating the first average value of the absolute value of the difference between the adjustable range coefficient corresponding to each parameter type and the first adjustable range coefficient, and the first absolute value of the difference between the adjustable vector and the preset standard adjustable vector;

[0079] Based on the ratio between the first average value and the first absolute value, the device universal performance coefficient of each parameter type is calculated.

[0080] As an example, taking the i-th parameter type as an example, the device universal performance coefficient The calculation method can be:

[0081]

[0082] Among them, represents the device universal performance coefficient of the i-th parameter type, represents the adjustable range coefficient of the i-th parameter type, represents the adjustable range coefficient of the i-th parameter type under the j-th environmental factor, and n represents the type number of the environmental factors of the universal device, represents the adjustable vector composed of the adjustable range coefficients of all parameter types, represents the device preset standard adjustable vector, represents the first average value, represents the first absolute value.

[0083] Step S33, based on the device universal performance coefficient and the adjustable vector, the cooperative control performance value is calculated.

[0084] As an example, since the actual use of the universal device is to adapt to the needs of the corresponding production environment, the focus is on the data interaction and functional connection between different devices or systems in the production process, and the monitoring process of the safety state will also change the universal adaptability of the device, resulting in the change of the change condition of multiple types of parameters.

[0085] Specifically, the multi-system cooperation process actually reduces the universality of the general-purpose device, which is coupled between multiple device systems. For example, an automated fixture device usually clamps a workpiece and controls the posture accordingly to achieve a corresponding cutting or assembly process. The input and output of its monitoring data are mainly the shape information, position information, and processing information of the workpiece. Not all information data will interact with the automated fixture during the production process. Some types of data will be obtained by the automated fixture device to improve the universality of the device. However, due to the limited types of parameters that can be obtained, some types of data will be missing or the precision will be lost, which will limit the universality of the device.

[0086] Therefore, according to the difference between the device universality performance coefficient and the data interaction of the adjustable vector and the input and output ends, the cooperation performance of the general-purpose device and other devices is determined to obtain the cooperative control performance value.

[0087] In step S33, the following steps are included:

[0088] The first adjustable vector corresponding to the output data of the output device and the second adjustable vector corresponding to the input data of the input device are determined.

[0089] The first difference between the first adjustable vector and the adjustable vector of the general-purpose device, and the second difference between the second adjustable vector and the adjustable vector of the general-purpose device are calculated.

[0090] As an example, by recording the input and output data of all devices and the device universality performance coefficient, the input and output data of the device are regarded as the relevant monitoring parameter types of a device. The first adjustable vector and the second adjustable vector are obtained by forming the adjustable vector with the input data or the output data, and the corresponding universality performance coefficient is calculated.

[0091] As an example, for the specific elements of the adjustable vector of the input and output device, the type of the parameter is obtained through the data input and output interface. The data obtained is definitely the data type that interacts with the current general-purpose device. For the data obtained by the general-purpose device, the more the self-obtained parameter types, the lower the universality limitation of the device.

[0092] Based on this, the analysis of the universality of the device needs to analyze the number of all existing parameter types of the current device in the current implementation environment, that is, the more significant the interaction performance of the input and output device under the existing parameter type and the current device, the less the analysis of the collaborative process between multiple systems on the universality of the universal device reduces the universality of the universal device. The first difference represents the difference in interaction performance between the first adjustable vector corresponding to the output data and the adjustable vector of the universal device, and the second difference is the same.

[0093] As an example, when calculating the first difference or the second difference, a 1 operation needs to be performed on each adjustable vector, that is, a 1 operation is performed on the parameter types that do not correspond to the two adjustable vectors, and then the difference is calculated after the two vectors are equal in length.

[0094] Calculate the first sum between the first difference and the second difference and the second average of the device universality performance coefficient corresponding to each parameter type.

[0095] Based on the normalization value between the first sum and the second average, the collaborative control performance value is calculated.

[0096] As an example, when the number of parameter types is k, the collaborative control performance value The calculation method can be:

[0097]

[0098] wherein, represents the device universality performance coefficient of the i-th parameter type, represents the number of current parameter types, represents the first adjustable vector, represents the second adjustable vector, represents the second average, represents the first sum, which represents the difference in data interaction between the current universal device and the input and output ends, and the smaller the value, the more significant the data interaction, the ratio represents the control error performance of the corresponding type number, and the larger the value, the more obvious the control error performance of the universal device before the value, that is, the stronger the control error ability, and norm() represents the normalization function. Step S40, based on the collaborative control performance value and the environment monitoring data, the acquisition necessity degree of the corresponding type number of the current implementation environment is calculated.

[0099]

[0100] ​As an example, according to the cooperative control performance of each general device at different monitoring moments, the actual reflection of the general device at the monitoring moment is the actual influence of the implementation environment on the number of data types, and the common abnormality detection of all parameter type data can obtain the best analysis result for the safety detection process of the device running state. In actual implementation scenarios, all data types cannot be collected, so further collection necessity judgment is needed to realize the credibility verification of the result from the overall result performance. Therefore, the collection necessity degree of the current implementation environment corresponding type number is calculated.

[0101] Step S40 comprises:

[0102] Based on the environmental monitoring data, the plurality of implementation environments corresponding to the general device is determined.

[0103] The first cooperative control performance value under the implementation environment and the implementation environment corresponding type number is determined.

[0104] The average value of the difference between the cooperative control performance value and the first cooperative control performance value is inversely proportional to the normalization processing, and the collection necessity degree of the current implementation environment corresponding type number is obtained.

[0105] As an example, according to the environmental monitoring data, the plurality of implementation environments corresponding to the general device is determined, wherein different parameter type numbers correspond to different implementation environments, and the actual implementation environment has a certain reference, that is, the collection demand of the corresponding type parameter has a certain reference value.

[0106] As an example, the first cooperative control performance value is the cooperative control performance value under the current implementation environment and the parameter type number corresponding to the current implementation environment.

[0107] As an example, the value of the parameter type number corresponding to the current implementation environment is For example, the collection necessity degree The calculation method can be:

[0108]

[0109] Wherein, represents the cooperative control performance value when the value of the parameter type number is represents the cooperative control performance value of the different implementation environment when the value of the parameter type number is , that is, the first cooperative control performance value, and L is the total amount of the type number of the implementation environment.

[0110] ​Step S50, based on the collection necessity degree, screening the data that needs to be calculated or collected from the running state data of the general equipment, to regulate the collection process of the running state data.

[0111] As an example, the reference of different types of parameters for running state safety analysis needs to be analyzed from the collection necessity degree distribution of the total type number, first, based on the collection necessity degree, calculate the parameter collection threshold, for the implementation environment with collection necessity degree greater than the parameter collection threshold, select the running state data, and then regulate the collection process of the running state data.

[0112] Among them, step S50 includes:

[0113] Step S51, based on the collection necessity degree corresponding to different implementation environments, calculate the parameter collection threshold.

[0114] Among them, step S51 includes:

[0115] Calculate the third difference value between the collection necessity degrees corresponding to adjacent real-time environment serial numbers.

[0116] Subtract the ratio between the third difference value and the average value of the third difference value corresponding to different implementation environments from the preset value to calculate the parameter collection threshold.

[0117] As an example, the value of the parameter type number corresponding to the current implementation environment is For example, the calculation process of the parameter collection threshold can be:

[0118]

[0119] Therefore, represents the obtained parameter collection threshold, represents the value of the parameter type number of the current implementation environment , the collection necessity degree when , the collection necessity degree when -1, represents the total number of type numbers of all implementation environments.

[0120] Step S52, when the parameter collection threshold of the running state data corresponding to each implementation environment is greater than the final preset threshold, it is determined that the running state data corresponding to the collection necessity degree is the data that needs to be calculated or collected.

[0121] As an example, the final preset threshold value can be 0.875, or other values, according to the final preset threshold value 0.875, the running state data type of the corresponding general-purpose device is divided, the corresponding data is directly collected or calculated by using the existing data for the environment type greater than the threshold value, and thus the fine analysis of the general-purpose adaptability of the device is realized, and the precise regulation and control of the device running state safety data collection is completed.

[0122] The application provides a general-purpose device facility running state safety collection method, the application obtains the running state data of the general-purpose device and the environmental monitoring data of each monitoring time, and then determines the adjustable range coefficient of each parameter type based on the adjustable range of all parameter types in the running state data. Then, based on the adjustable range coefficient and the parameter type order corresponding to the adjustable range coefficient, the number of collaborative control performance values corresponding to the current parameter type is calculated. Then, according to the collaborative control performance value and the environmental monitoring data, the collection necessity degree of the type number corresponding to the current implementation environment is determined. Then, according to the collection necessity degree, the data that needs to be calculated or collected is selected from the running state data of the general-purpose device to regulate the collection process of the running state data. In the application, the collection necessity degree of different parameter types is calculated by combining the multiple different parameter types in the running state data, the number of collaborative control performance values corresponding to the parameter type, and the different implementation environments in the environmental monitoring data. Then, the data that needs to be calculated or collected is selected from the running state data of the general-purpose device according to the collection necessity degree, instead of analyzing the running parameters in a single use scenario. Thus, the precise regulation and control of the device running state safety data collection is realized.

[0123] To achieve the above object, the application also provides a general-purpose device facility running state safety collection device, which comprises:

[0124] The acquisition module is configured to acquire the running state data of the general-purpose device and the environmental monitoring data of each monitoring time.

[0125] The determination module is configured to determine the adjustable range coefficient of each parameter type based on the adjustable range of all parameter types in the running state data.

[0126] The first calculation module is configured to calculate the number of collaborative control performance values corresponding to the current parameter type based on the adjustable range coefficient and the parameter type order corresponding to the adjustable range coefficient, and the collaborative control performance value is used to represent the control error performance ability of the parameter type corresponding to the number.

[0127] The second calculation module is configured to calculate the collection necessity degree of the type number corresponding to the current implementation environment based on the collaborative control performance value and the environmental monitoring data.

[0128] The screening module is configured to screen data that needs to be calculated or collected from the operation state data of the general-purpose device based on the necessity of collection, so as to regulate the collection process of the operation state data.

[0129] To achieve the above object, the embodiment of the present application further provides a general-purpose device facility operation state safety collection system, which comprises a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements the steps of the general-purpose device facility operation state safety collection method when executing the computer program.

[0130] Reference Figure 2 , Figure 2 is a device structure diagram of a hardware running environment involved in the embodiment of the present application.

[0131] As Figure 2 shown, the general-purpose device facility operation state safety collection device can comprise a processor 1001, a memory 1003, and a communication bus 1002. The communication bus 1002 is configured to realize the connection communication between the processor 1001 and the memory 1003.

[0132] Optionally, the general-purpose device facility operation state safety collection device can further comprise a user interface, a network interface, a camera, an RF (Radio Frequency, radio frequency) circuit, a sensor, a WiFi module, and the like. The user interface can comprise a display screen (Display) and an input sub-module such as a keyboard (Keyboard). The optional user interface can further comprise a standard wired interface and a wireless interface. The network interface can comprise a standard wired interface and a wireless interface (such as a WI-FI interface).

[0133] Those skilled in the art can understand that Figure 2 the general-purpose device facility operation state safety collection device structure shown in the above embodiment does not constitute a limitation on the general-purpose device facility operation state safety collection device, and can comprise more or fewer components than the diagram, or combine certain components, or different component arrangements.

[0134] As Figure 2 shown, the memory 1003 as a storage medium can comprise an operating system, a network communication module, and a general-purpose device facility operation state safety collection program. The operating system is a program for managing and controlling hardware and software resources of the general-purpose device facility operation state safety collection device, and supports the running of the general-purpose device facility operation state safety collection program and other software and / or programs. The network communication module is configured to realize the communication between the components in the memory 1003, and the communication between other hardware and software in the general-purpose device facility operation state safety collection system.

[0135] In Figure 2 The processor 1001 is configured to execute the general equipment facility operation state safety acquisition program stored in the memory 1003, so as to realize the steps of the general equipment facility operation state safety acquisition method.

[0136] The general equipment facility operation state safety acquisition device embodiment of the present application is basically the same as the above-mentioned general equipment facility operation state safety acquisition method embodiments, and will not be described here.

[0137] It should be noted that in this paper, the term "includes", "contains" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or system including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or includes elements inherent to such process, method, article or system. Without more limitations, the element defined by the sentence "includes a" does not exclude the presence of other identical elements in the process, method, article or system including the element.

[0138] The above-mentioned serial numbers of the embodiments of the present application are only for description, not representing the advantages and disadvantages of the embodiments.

[0139] Through the above description of the embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be realized by means of software and necessary general hardware platform, of course, also can be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a plurality of instructions for making a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) execute the methods described in various embodiments of the present application.

[0140] The above is only the preferred embodiment of the present application, and does not limit the application range of the present application, and any equivalent structure or equivalent process transformation made by using the content of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the application protection range of the present application.

[0141] It should be noted that: the above-mentioned sequence of the embodiments of the present application is only for description, not representing the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0142] The various embodiments described in this specification are presented by way of example, and each embodiment is not inherently more important than any other embodiment. To the extent that any embodiment is directed to a distinct, independently applicable inventive concept, it is to be understood that the inventive concept(s) can be realized in a multitude of alternative ways. Each embodiment is presented for the purpose of enabling a clear and concise description of the inventive concept(s) and for the purpose of enabling a broad, but effective, patentable scope.

Claims

1. A universal method for safely collecting the operating status of equipment and facilities, characterized in that, The method includes: Acquire operational status data of general-purpose equipment and environmental monitoring data at various monitoring times; Based on all adjustable ranges of different parameter types in the aforementioned operational status data, determine the adjustable range coefficient for each parameter type; Based on the parameter type order corresponding to the adjustable range coefficients, the adjustable range coefficients are arranged in the parameter type order to construct an adjustable vector; Determine the first adjustable range coefficient for each parameter type under different environmental factors; Calculate the first average of the absolute values ​​of the differences between the adjustable range coefficients corresponding to each parameter type and the first adjustable range coefficient, and the first absolute value of the difference between the adjustable vector and the preset standard adjustable vector; Based on the ratio between the first average value and the first absolute value, the general performance coefficient of each parameter type is calculated. Determine the first adjustable vector corresponding to the output data of the output device and the second adjustable vector corresponding to the input data of the input device; Calculate a first difference between the first adjustable vector and the adjustable vector of the universal device, and a second difference between the second adjustable vector and the adjustable vector of the universal device; Calculate the first sum between the first difference and the second difference, and the second average value of the general performance coefficients of the equipment corresponding to various parameter types; The collaborative control performance value is calculated based on the normalized value between the first sum and the second average value. Based on the environmental monitoring data, various implementation environments corresponding to the general-purpose equipment are determined; Determine a first collaborative control performance value in the implementation environment and the corresponding number of types in the implementation environment; The average difference between the collaborative control performance value and the first collaborative control performance value is inversely normalized to obtain the necessity of collecting the corresponding type of data in the current implementation environment. Based on the required level of data collection, the data that needs to be measured or collected is selected from the operating status data of the general-purpose equipment, so as to regulate the data collection process of the operating status data.

2. The method for safe collection of operating status of general-purpose equipment and facilities as described in claim 1, characterized in that, The determination of the adjustable range coefficient for each parameter type based on all adjustable ranges of different parameter types in the operational status data includes: Select the minimum and maximum adjustable range values ​​from the adjustable ranges of all parameter types; The adjustable range coefficients for each parameter type are calculated based on the normalized value of the difference between the maximum and minimum adjustable range values.

3. The method for safe acquisition of the operating status of general-purpose equipment and facilities as described in claim 1, characterized in that, The step of filtering out the data that needs to be measured or collected from the operating status data of the general-purpose equipment based on the degree of necessity for data collection includes: Based on the necessary data collection for different implementation environments, the parameter collection threshold is calculated. When the parameter collection threshold of the corresponding operating status data of each implementation environment is greater than the final preset threshold, the operating status data corresponding to the collection necessity is determined to be data that needs to be measured or collected.

4. The method for safe acquisition of the operating status of general-purpose equipment and facilities as described in claim 3, characterized in that, The parameter acquisition thresholds are calculated based on the necessary acquisition levels for different implementation environments, including: Calculate the third difference between the necessary collection levels corresponding to adjacent real-time environment numbers; The parameter acquisition threshold is calculated by subtracting the ratio between the third difference and the average of the third difference corresponding to different implementation environments from a preset value.

5. A universal device for collecting operational status data of equipment and facilities, characterized in that, The apparatus for performing the general equipment and facility operation status safety data acquisition method as described in any one of claims 1 to 4 includes: The acquisition module is used to acquire the operating status data of general-purpose equipment and environmental monitoring data at various monitoring times; The determination module is used to determine the adjustable range coefficient of each parameter type based on all adjustable ranges of different parameter types in the operation status data; The first calculation module is used to calculate the number of collaborative control performance values ​​corresponding to the current parameter type based on the adjustable range coefficient and the parameter type order corresponding to the adjustable range coefficient. The collaborative control performance values ​​are used to represent the control error performance capability of the number of parameters corresponding to the parameter type. The second calculation module is used to calculate the necessity of collecting the corresponding type of environmental data based on the collaborative control performance value and the environmental monitoring data. The filtering module is used to filter out the data that needs to be measured or collected from the operating status data of the general-purpose equipment based on the necessity of the data collection, so as to regulate the data collection process of the operating status data.

6. A universal equipment and facility operation status safety data acquisition system, characterized in that, The system includes a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of the method as described in any one of claims 1 to 4.

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