CN113010569A - Equipment management method, device and storage medium - Google Patents
Equipment management method, device and storage medium Download PDFInfo
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Abstract
The application discloses a device management method, a device and a storage medium, wherein the method is applied to the device management device and comprises the following steps: acquiring operation data of a plurality of devices; acquiring current operation state information of each device from the operation data; generating a corresponding equipment management scheme based on the current operation state information; managing the corresponding device based on the device management scheme. Therefore, the current operation state is obtained through the operation data of the equipment, and the equipment is managed in real time according to the current operation state, so that the management effect of the equipment can be improved.
Description
Technical Field
The present application relates to the field of device management technologies, and in particular, to a device management method, apparatus, and storage medium.
Background
At present, in the process of daily management and maintenance of equipment, special management personnel are needed to perform related management on the equipment so as to ensure the normal operation of the equipment.
When the managed equipment has a plurality of, managers need to patrol and examine the equipment one by one to judge whether the equipment normally works. When the equipment is patrolled and examined, the working state of the equipment can only be known, so that a manager can not know the working state of the equipment outside the patrolling and examining process in real time. Therefore, the manager cannot manage the working state of the equipment outside the inspection process, cannot know the working state of the equipment in real time and generate a corresponding management method, and the management effect is poor.
Disclosure of Invention
The application provides a device management method, a device and a storage medium, which are used for improving the management effect of devices.
A first aspect of the present application provides a device management method, which is applied to a device management apparatus, and the method includes: acquiring operation data of a plurality of devices; acquiring current operation state information of each device from the operation data; generating a corresponding equipment management scheme based on the current operation state information; the corresponding device is managed based on the device management scheme.
Optionally, the step of generating a corresponding device management scheme based on the current operating state information includes: judging whether the current running state information is consistent with the preset running state information or not; and if not, generating an operation abnormity management scheme corresponding to the equipment.
Optionally, the operation data further includes current operation segment data, and the step of determining whether the current operation state information is consistent with the preset operation state information includes: judging whether the current operation section data and the current operation state information accord with a preset association relation or not; if not, the current running state information is inconsistent with the preset running state information.
Optionally, if the current running segment data and the current running state information do not conform to the preset association relationship, the method further includes: acquiring historical running state information of equipment; judging whether the historical running state information contains current running state information; if not, the current running state information is inconsistent with the preset running state information.
Optionally, before the step of determining whether the current operation state information is consistent with the preset operation state information, the method further includes: acquiring historical operation segment data and historical operation state information of managed equipment; and setting the association relationship between the historical operation period data and the historical operation state information as a preset association relationship.
Optionally, the operation data includes first operation state change trend data in a first time period and second operation state change trend data in a second time period, an end time point of the first time period is a current time point, and the step of obtaining the current operation state information of the managed device according to the operation data includes: judging whether the first operation state change trend data and the second operation state change trend data are in a threshold range or not; if not, current running state information containing equipment running abnormity is generated.
Optionally, the step of obtaining the operation data of the device includes: acquiring first historical operating period data and first historical operating state data of equipment in a first time period, wherein the first time period comprises a plurality of operating periods; and obtaining first operation state change trend data according to the first historical operation stage data and the first historical operation state data, wherein the first operation state change trend data is change trend data of the first historical operation state data along with the first historical operation stage data.
Optionally, the step of obtaining the operation data of the managed device includes: acquiring second historical operating period data and second historical operating state data of the managed device in a second time period, wherein the operating period of the second time period is the same as that of the first time period; and obtaining second running state change trend data according to the second historical running state data and the second historical running state data, wherein the second running state change trend data is change trend data of the second historical running state data along with the second historical running time period information.
Another aspect of the present application provides a device management apparatus, which includes a processor and a memory coupled to the processor, where the memory stores program data, and the program data is used for being executed by the processor to implement any one of the device management methods described above.
Yet another aspect of the application provides a computer storage medium for execution by a processor to implement a device management method as in any one of the above.
The application at least has the beneficial effects that: according to the method and the device, the current operation state is obtained through the operation data of the device, the device is managed in real time according to the current operation state, and the management effect of the device can be improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic flowchart of a first embodiment of a device management method according to the present application;
fig. 2 is a schematic flowchart of a second embodiment of the device management method of the present application;
fig. 3 is a schematic flowchart of a third embodiment of the device management method of the present application;
fig. 4 is a schematic flowchart of a fourth embodiment of the device management method of the present application;
FIG. 5 is a block diagram of an embodiment of a device management apparatus according to the present application;
FIG. 6 is a block diagram of an embodiment of a computer storage medium according to the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first", "second" and "third" in this application are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any indication of the number of technical features indicated. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of the feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise. All directional indications (such as up, down, left, right, front, and rear … …) in the embodiments of the present application are only used to explain the relative positional relationship between the components, the movement, and the like in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indication is changed accordingly. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those skilled in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
The first aspect of the present application provides an apparatus management method, which is applied to an apparatus management device, where the apparatus management device may be a property management terminal. Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a device management method according to a first embodiment of the present application. As shown in fig. 1, the device management method of this embodiment at least includes the following steps:
s101: operational data is acquired for a plurality of devices.
The plurality of devices are managed by the property management terminal, and the managed devices may be the same device or different devices. The device generates operational data, such as energy consumption data, heat generation data, noise data, etc., during operation. The operation data may be operation data in a period of time or operation data at a certain time point.
Specifically, the property management terminal may obtain operation data of the plurality of devices in the operation process, respectively. The property management terminal can establish communication connection with the operation data acquisition device, the operation data acquisition device is used for acquiring operation data in the operation process of the equipment and sending the operation data to the server so that the property management terminal acquires the operation data from the server, or the operation data acquisition device directly sends the operation data to the property management terminal.
For example, the data acquiring means may include heat generation data acquiring means, and may be provided to the managed device to acquire the heat generation data of the managed device by the heat generation data acquiring means. For example, the data acquiring device may include an energy consumption data acquiring device, which may be connected to a device for detecting energy consumption of the managed device, and is configured to acquire the managed energy consumption data.
S102: current operation state information of each device is acquired from the operation data.
After the operation data corresponding to each device is obtained, the current operation state information of each device is judged according to the operation data corresponding to each device, and the current operation state information reflects the current operation state of the device.
Specifically, the operation data is data generated during the operation of the equipment, so that the operation data can reflect the operation state of the equipment. In this embodiment, the operation data may be operation data of a period from a historical time point to a historical time point, may be operation data of a period from a historical time point to a current time point, and may also be operation data of a current time point. The operation data in this step may be operation data of a period from a historical time point to a current time point to reflect current operation state information.
The operation state information may include normal operation state, abnormal operation device, damaged equipment, and the like, and may further specifically include specific operation data information of the equipment. For example, the energy consumption data may reflect the operating power of the device, and when the operating power of the device is greater than the rated power of the device, the operating state information of the device may be acquired to include an abnormal operation.
More specifically, the operation state information of the device includes specific operation data information when the operation is abnormal, such as a heating data range, an energy consumption data range, a noise data range, and the like, and the operation state information having different operation data information is different operation state information.
For example, energy consumption data of the device in the time period of 2:00-3:00 is acquired, and the average power in the time period is found to be larger than the rated power of the device through the energy consumption data, so that the device can be judged to be in overload operation, and the operation state information includes abnormal operation of the device.
S103: and generating a corresponding equipment management scheme based on the current operation state information.
The device is in different running states and needs to be managed through different management schemes, so that the effect of device management is improved. For example, when the device operation state information includes device operation abnormality, a human needs to be dispatched to confirm the field situation. When the device operation state information includes a device damage, the operation of the device needs to be stopped immediately.
Specifically, the device operating state information and the device management scheme may have an association relationship, and the association relationship and the device management scheme may be stored in the property management terminal. After the operation state information of the device is obtained, a corresponding device management scheme can be obtained according to the association relation and the device management scheme.
S104: the corresponding device is managed based on the device management scheme.
And after the device management scheme is acquired, managing the corresponding device according to the acquired device management scheme. If the equipment management scheme obtained in the step is consistent with the equipment management scheme currently applied by the equipment, the equipment management scheme does not need to be changed; if the obtained device management scheme is inconsistent with the device management scheme currently applied by the device, the device management scheme currently applied by the device needs to be replaced by the device management scheme obtained in the step.
After the property management terminal acquires the device management scheme, the corresponding device can be directly managed based on the device management scheme, and the corresponding device can also be managed through other devices or personnel.
The embodiment at least has the following beneficial effects: according to the method and the device, the current operation state can be acquired through the operation data of the device, and the device is managed in real time according to the current operation state, so that the management effect of the device can be improved.
Referring to fig. 2, fig. 2 is a schematic flowchart of a second embodiment of the device management method of the present application, wherein the present embodiment further describes step S103, and the present embodiment may at least include the following steps:
s201: judging whether the current running state information is consistent with the preset running state information or not; if not, go to step S202.
The current operation state information may include a plurality of operation state information, and correspondingly, the preset operation state information may include a plurality of operation state information corresponding to the current operation state information. The preset running state information of multiple running states is running state information when the equipment runs normally.
Specifically, whether each item of running state information in the current running state information is consistent with the running state information corresponding to the preset running state information or not can be judged respectively, and then whether the current running state information is consistent with the preset running state information or not can be judged. And when the two pieces of running state information are equal or the difference value of the two pieces of running state information is within the threshold range, judging that the two pieces of running state information are consistent.
For example, the current operating state information may include energy consumption data information and heating data information, and when the energy consumption data information in the current operating state information is consistent with the energy consumption data information in the preset operating state and the heating data information in the current operating state information is consistent with the heating data information in the preset operating state, it is determined that the current operating state information is consistent with the preset operating state information.
S202: and generating an operation abnormity management scheme corresponding to the equipment.
If the current running state information is inconsistent with the preset running state information, it is indicated that only one item of running state information in the current running state information is inconsistent with the preset running state information. At this time, the operation state of the device includes an operation abnormality, and a management scheme of the operation abnormality is generated accordingly.
Referring to fig. 3, fig. 3 is a schematic flow chart of a third embodiment of the device management method of the present application, which is described based on the second embodiment. As shown in fig. 3, the device management method of this embodiment may at least include:
s301: historical operating period data and historical operating state information of the managed device are obtained.
The historical runtime segment data includes runtime segment data from a historical first time point to a historical second time point. For example, the historical runtime segment data may be yesterday 12: 00-yesterday 13: 00. the historical operating state information comprises historical operating state information of the equipment in a historical operating period, and the historical operating state information can be acquired through historical operating data of the equipment in the historical operating period. For example, by the device at yesterday 12: 00-yesterday 13: and 00, acquiring historical running state information of the equipment according to energy consumption data and heating data.
S302: and setting the association relationship between the historical operation period data and the historical operation state information as a preset association relationship.
The association between the historical runtime segment data and the historical operating state information may be a one-to-one correspondence, for example, at 12 yesterday: 00-yesterday 13:00 corresponds to the first historical operating state information, and then the preset association relationship may be: runtime segment data: 12: 00-13: 00, running state information: heating data X1 and energy consumption data Y1. For example yesterday 13: 00-yesterday 14:00 corresponds to the second historical operating state information, and then the preset association relationship may be: runtime segment data: 13:00-14:00, running state information: heating data X2 and energy consumption data Y2. The first historical operating state information and the second historical operating state information may be the same or different.
Specifically, the property management terminal may store the association relationship in a memory thereof, so as to call the preset association relationship at any time.
S303: and judging whether the current operation section data and the current operation state information accord with a preset association relation.
In the present embodiment, the run data includes current run-time segment data. And judging whether the current operation state information is consistent with the preset operation state information or not by judging whether the current operation section data and the current operation state information accord with the preset association relationship or not.
For example, current runtime segment data: 12: 00-13: 00, current operation state information: heating data X3 and energy consumption data Y3. The preset association relationship is: runtime segment data: 12: 00-13: 00, running state information: heating data X1 and energy consumption data Y1. And if the X1 is equal to the X3 or the difference value is within a first threshold range, and the Y1 is equal to the Y3 or the difference value is within the first threshold range, judging whether the current operation section data and the current operation state information accord with the preset association relationship.
It can be understood that, if the current operation segment data and the current operation state information do not conform to the preset association relationship, the current operation state information is inconsistent with the preset operation state information. If the current running segment data and the current running state information do not accord with the preset association relationship, executing step S304.
S304: and acquiring historical running state information of the equipment.
That is, historical operating state information of the device during the historical operating period is obtained, it is understood that the device may have a plurality of operating state information during the historical operating period.
For example, the plurality of operation state information may include device damage, device normal operation, and device abnormal operation, and the device abnormal operation may include a plurality of historical operation states due to different operation data information. For example, when the operating state information includes an abnormal operating state due to an abnormality in the heat generation data, a plurality of types of operating state information having abnormal operating state information are generated because the heat generation value data information is different.
S305: and judging whether the historical running state information contains the current running state information.
And judging whether all the historical running state information contains current running state information or not, and judging that the equipment runs abnormally when the current running state is inconsistent with the preset running state information.
Although the equipment is abnormally operated, the equipment is still possibly approved by a manager. For example, during a peak period of the usage rate of the device, the manager recognizes this in a short time, although the device generates too much heat. Therefore, if it is determined that the historical operating state information includes the current operating state information of the abnormal operation, since such an operating state (the operating state information included in the historical operating state information) is previously permitted, it is permitted by the manager, that is, it is determined that the current operating state information is consistent with the preset operating state information.
S306: if not, the current running state information is inconsistent with the preset running state information.
If the historical operating state information does not contain the current operating state information with abnormal operation, the device is indicated to have an unprecedented abnormal state, which is not allowed by a manager, namely the current operating state information is judged to be inconsistent with the preset operating state information.
Referring to fig. 4, fig. 4 is a schematic flowchart illustrating a fourth embodiment of a device management method according to the present application. This embodiment is based on the first embodiment, and at least includes the following steps:
s401: acquiring first historical runtime section data and first historical running state data of equipment in a first time period, wherein the first time period comprises a plurality of runtime section data; and acquiring second historical running period data and second historical running state data of the managed device in a second time period, wherein the running period data of the second time period is the same as the running period data of the first time period, and the ending time point of the first time period is the current time point.
Specifically, the ending time point of the first time period is the current time point, and the runtime period data of the second time period is the same as the runtime period data of the first time period, that is, the first time period is a time period including the current time point and later than the second time period, and the first time period is correspondingly the same as the plurality of runtime period data in the second time period.
For example, the first time period is 13:00-15:00, where 15:00 is the current time point, and the first time period may include two runtime period data, for example, 13:00-14:00, 14:00-15: 00. The second period of time may be 13:00-15:00 yesterday and the two runtime period data included in the second period of time may be 13:00-14:00, 14:00-15:00 yesterday.
Based on the above example, it is possible to further acquire the first historical runtime segment data at 13:00-14:00 and the first historical runtime segment data at 14:00-15:00, and acquire the second historical runtime segment data at 13:00-14:00 and the second historical runtime segment data at 14:00-15: 00.
S402: obtaining first running state change trend data according to the first historical running state data and the first historical running state data, wherein the first running state change trend data is change trend data of the first historical running state data along with the first historical running state data; and obtaining second running state change trend data according to the second historical running state data and the second historical running state data, wherein the second running state change trend data is change trend data of the second historical running state data along with the second historical running time period information.
Specifically, the change rate of the first historical operating state data in each of the first historical operating period data may be acquired to represent the first operating state change tendency, and the change rate of the second historical operating state data in each of the second historical operating period data may be acquired to represent the second operating state change tendency. The first historical operating state data and the second historical operating state data may include specific device operating parameter data, such as heat generation data, energy consumption data, noise data, and the like.
For example, if the energy consumption data in the first historical operating period has a change value of 13:00-14:00 of 5 degrees, the rate of change in the first historical operating period can be obtained by dividing 5 degrees by one hour. Accordingly, a rate of change of 14:00-15:00 in the first historical operating period may also be obtained. The first operation state change tendency data may be an average value of change rates of the first historical operation state data in the plurality of first historical operation time period data, or may be a change rate of the first historical operation state data in the plurality of first historical operation time period data. Accordingly, the second operation state variation tendency data may be acquired by the same method.
S403: and judging whether the first operation state change trend data and the second operation state change trend data are in a threshold range.
It may be determined whether a difference between the first operating condition variation tendency data and the second operating condition variation tendency data is within a threshold range.
Specifically, when the first and second operation state change trend data are composed of average values of change rates of the first and second historical operation state data corresponding to the plurality of first and second historical operation period data, a difference value between the average value of the change rates corresponding to the first operation state change trend data and the average value of the change rates corresponding to the second operation state change trend data may be obtained, and whether the difference value is within the threshold range or not may be determined. When the first running state change trend data and the second running state change trend data are composed of the average value of the change rates of the first historical running state data and the second historical running state data corresponding to the first historical running stage data, a plurality of difference values between the change rate of the first historical running state data corresponding to each first historical running stage data and the change rate of the second historical running state data corresponding to the second historical running stage data can be obtained respectively, and whether the plurality of difference values are all in the threshold range or not is judged one by one.
S404: if not, current running state information containing equipment running abnormity is generated.
If the first operation state change trend data and the second operation state change trend data are not in the threshold value range, the abnormal change rate of the operation state data of the equipment in the time period from the past time point to the current time point is indicated.
For example, if the change rate of the heat generation data in the operation state data in the period from the past time point to the present time point is too high and exceeds the change rate threshold of the difference value from the historical change rate, it is determined that the equipment has abnormal heat generation, and if the equipment is abnormal in operation, the current operation state information including the abnormal operation of the equipment is generated.
Referring to fig. 5, fig. 5 is a schematic diagram of a framework of an embodiment of a device management apparatus 50 according to the present application. The device management apparatus 50 includes a memory 51 and a processor 52 coupled to each other, and the processor 52 is configured to execute program instructions stored in the memory 51 to implement the steps of any of the device management method embodiments described above. In a specific implementation scenario, the device management apparatus 50 may include, but is not limited to: a microcomputer, a server, and the electronic device 50 may also include a mobile device such as a notebook computer, a tablet computer, and the like, which is not limited herein. The device management apparatus 50 may be the property management terminal according to the above embodiment.
In particular, the processor 52 is configured to control itself and the memory 51 to implement the steps of any of the above-described embodiments of the device management method. Processor 52 may also be referred to as a CPU (Central Processing Unit). Processor 52 may be an integrated circuit chip having signal processing capabilities. The Processor 52 may also be a general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. In addition, the processor 52 may be commonly implemented by an integrated circuit chip.
Referring to fig. 6, fig. 6 is a block diagram of an embodiment of a computer storage medium 60 according to the present application. The computer storage medium 60 stores program instructions 601 capable of being executed by a processor, the program instructions 601 being for implementing the steps in any of the device management method embodiments described above.
The foregoing description of the various embodiments is intended to highlight various differences between the embodiments, and the same or similar parts may be referred to each other, and for brevity, will not be described again herein.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is merely one type of logical division, and an actual implementation may have another division, for example, a unit or a component may be combined or integrated with another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some interfaces, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Claims (10)
1. A device management method is applied to a device management apparatus, and is characterized by comprising the following steps:
acquiring operation data of a plurality of devices;
acquiring current operation state information of each device from the operation data;
generating a corresponding equipment management scheme based on the current operation state information;
managing the corresponding device based on the device management scheme.
2. The method of claim 1, wherein the step of generating a corresponding device management solution based on the current operating state information comprises:
judging whether the current running state information is consistent with preset running state information or not;
and if not, generating an operation abnormity management scheme corresponding to the equipment.
3. The method of claim 2, wherein the operating data further includes current operating state segment data, and the step of determining whether the current operating state information is consistent with the preset operating state information includes:
judging whether the current operation section data and the current operation state information accord with a preset association relation or not;
if not, the current running state information is inconsistent with the preset running state information.
4. The method of claim 3, wherein if the current runtime segment data and the current running state information do not conform to a preset association relationship, the method further comprises:
acquiring historical running state information of the equipment;
judging whether the historical running state information contains the current running state information;
if not, the current running state information is inconsistent with the preset running state information.
5. The method according to claim 3, wherein before the step of determining whether the current operation state information is consistent with the preset operation state information, the method further comprises:
acquiring historical runtime segment data and historical running state information of the equipment;
and setting the association relationship between the historical operation period data and the historical operation state information as a preset association relationship.
6. The method according to claim 1, wherein the operation data includes first operation state change trend data in a first time period and second operation state change trend data in a second time period, an end time point of the first time period is a current time point, and the step of obtaining the current operation state information of the managed device according to the operation data includes:
judging whether the first operation state change trend data and the second operation state change trend data are in a threshold range or not;
and if not, generating current running state information containing the equipment running abnormity.
7. The method of claim 6, wherein the step of obtaining operational data of the managed device comprises:
acquiring first historical runtime section data and first historical running state data of the equipment in the first time period, wherein the first time period comprises a plurality of runtime section data;
and obtaining first operation state change trend data according to the first historical operation period data and the first historical operation state data, wherein the first operation state change trend data is change trend data of the first historical operation state data along with the first historical operation period data.
8. The method of claim 7, wherein the step of obtaining operational data of the managed device comprises:
acquiring second historical runtime segment data and second historical running state data of the managed device in the second time period, wherein the second historical runtime segment data is the same as the first historical runtime segment data;
and obtaining second running state change trend data according to the second historical running period data and second historical running state data, wherein the second running state change trend data is change trend data of the second historical running state data along with the second historical running period information.
9. A device management apparatus, comprising a processor and a memory coupled to the processor, wherein the memory stores program data for execution by the processor to implement the device management method of any one of claims 1 to 8.
10. A computer storage medium for execution by a processor to perform the device management method of any one of claims 1-8.
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| CN202110260772.9A CN113010569A (en) | 2021-03-10 | 2021-03-10 | Equipment management method, device and storage medium |
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| CN109065135A (en) * | 2018-08-20 | 2018-12-21 | 刘利达 | A kind of management of Hospital Logistic life period of an equipment cloud platform, method and system |
| CN111402106A (en) * | 2020-03-16 | 2020-07-10 | 北京锦鸿希电信息技术股份有限公司 | Device management method, device, system and storage medium |
| CN112101596A (en) * | 2020-09-27 | 2020-12-18 | 广东韶钢松山股份有限公司 | Equipment operation and maintenance method and device, electronic equipment and computer readable storage medium |
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| CN109065135A (en) * | 2018-08-20 | 2018-12-21 | 刘利达 | A kind of management of Hospital Logistic life period of an equipment cloud platform, method and system |
| CN111402106A (en) * | 2020-03-16 | 2020-07-10 | 北京锦鸿希电信息技术股份有限公司 | Device management method, device, system and storage medium |
| CN112101596A (en) * | 2020-09-27 | 2020-12-18 | 广东韶钢松山股份有限公司 | Equipment operation and maintenance method and device, electronic equipment and computer readable storage medium |
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