An intelligent integrated management method and platform

Abstract

The present application relates to an intelligent integrated management method and platform, which obtains the original equipment resource arrangement data in each preset resource management area, obtains the original predetermined position of each original predetermined equipment and the original key monitoring area of ​​each original predetermined equipment, and obtains the actual equipment position image of the current actual equipment at the original predetermined position, and simultaneously obtains the current equipment key monitoring actual area image of each current actual equipment; generates overall equipment parameter matching information, and if it is judged that the current actual equipment does not match the original predetermined equipment according to the overall equipment parameter matching information, generates equipment key detection comparison data according to the original equipment key standard image and the current equipment key monitoring actual area image. The present invention realizes the accurate judgment of the correctness of the equipment placement in the smart factory, and realizes high-quality equipment scheduling, greatly improving management efficiency.

Description

Technical Field

[0001] The present application relates to the field of resource management technology, and in particular to an intelligent integrated management method and platform. Background Art

[0002] With the development of intelligent technology, the concept of smart factory has gradually gained popularity. Smart factory is a new stage of the development of modern factory informatization. It is based on digital factory and uses the technology of Internet of Things and equipment monitoring technology to strengthen information management and service; clearly grasp the production and marketing process, improve the controllability of the production process, reduce manual intervention on the production line, collect production line data in real time and correctly, and reasonably arrange production plans and production schedules. In addition, it integrates emerging technologies such as green and intelligent means and intelligent systems to build a humanized factory with high efficiency, energy saving, green and environmental protection, and comfortable environment.

[0003] In a smart factory, the core is the comprehensive management and governance of equipment in the factory, which includes but is not limited to intelligent monitoring, maintenance and comprehensive scheduling of factory equipment. However, the management of equipment in smart factories on the market is relatively loose and simple. For example, the invention patent with application number CN202111238708.7 discloses a smart factory production system based on the industrial Internet of Things, including a smart factory subsystem and a smart factory master control platform. The smart factory subsystem includes a perception layer, a network layer and an application layer. The smart factory master control platform interacts with multiple smart factory subsystems through the Internet.

[0004] Although this technical solution can theoretically achieve an organic combination of the perception layer and the application layer in an industrial direction and significantly improve the efficiency of smart industrial production, it still has problems of low management efficiency and lack of intelligence. Summary of the invention

[0005] Based on this, it is necessary to provide an intelligent comprehensive management method and platform that can improve management efficiency in response to the above technical problems.

[0006] The technical solution of the present invention is as follows:

[0007] A smart integrated management method, the method comprising:

[0008] Obtain original equipment resource arrangement data in each preset resource management area, wherein the number of the preset resource management areas is multiple, and each of the original equipment resource arrangement data is data corresponding to the original arrangement plan of the original established equipment in each of the preset resource management areas, and the original equipment resource arrangement data includes the original equipment standard image and the original equipment key standard image of the original established equipment; according to the original equipment resource arrangement data, obtain the original established position of each of the original established equipment and the original key monitoring area of ​​each of the original established equipment, and obtain the actual equipment position image of the current actual equipment at the original established position based on the preset CCD acquisition device, and at the same time obtain each of the original key monitoring areas according to the original key monitoring areas The present invention further comprises the following steps: generating an image of the current device key monitoring actual area of ​​the current actual device; generating overall device parameter matching information based on the actual device position image and the original device standard image; and generating a device adjustment instruction if it is judged that the current actual device does not match the original established device based on the overall device parameter matching information; and generating device key detection comparison data based on the original device key standard image and the current device key monitoring actual area image, and generating a comparison parameter display interface based on the device key detection comparison data, wherein the comparison parameter display interface is used to display the device key detection comparison data.

[0009] Further, overall device parameter matching information is generated according to the actual device position image and the original device standard image. If it is determined according to the overall device parameter matching information that the current actual device does not match the original predetermined device, a device adjustment instruction is generated, which specifically includes:

[0010] After acquiring the actual device position image, obtain the preset overall comparison fixed points, overall comparison fixed number and random image comparison number; extract comparison points from the actual device position image and the original device standard image according to the overall comparison fixed points and the overall comparison fixed number, and generate a first comparison image and a second comparison image respectively, wherein the actual device position image corresponds to the first comparison image and the original device standard image corresponds to the second comparison image; compare the first comparison image and the second comparison image, and generate a current actual matching value; extract comparison points from the actual device position image and the original device standard image according to the random image comparison number. Take, and generate a third comparison image and a fourth comparison image respectively, wherein the actual device position image corresponds to the third comparison image, and the original device standard image corresponds to the fourth comparison image; generate a random comparison matching value according to the third comparison image and the fourth comparison image; generate a current actual matching value according to the current actual matching value and the random comparison matching value; judge whether the current actual matching value is greater than or equal to a preset annotated matching value; if it is judged that the current actual matching value is greater than or equal to the annotated matching value, then judge that the current actual device matches the original established device; if it is judged that the current actual matching value is less than the annotated matching value, then judge that the current actual device does not match the original established device.

[0011] Further, according to the random image comparison quantity, comparison points are extracted from the actual device position image and the original device standard image, and a third comparison image and a fourth comparison image are generated respectively, wherein the actual device position image corresponds to the third comparison image and the original device standard image corresponds to the fourth comparison image; specifically including:

[0012] According to the random image comparison quantity, an overall comparison fixed point matching the random image comparison quantity is selected and set as the current comparison reference point; the current extension direction and the current extension distance are respectively generated with the current comparison reference point as the center point; the current randomly selected point is generated according to the current comparison reference point, the current extension direction and the current extension distance; according to the current randomly selected point, comparison points are extracted from the actual device position image and a third comparison image is generated; according to the current randomly selected point, comparison points are extracted from the original device standard image and a fourth comparison image is generated.

[0013] Further, overall device parameter matching information is generated according to the actual device position image and the original device standard image, and if it is determined according to the overall device parameter matching information that the current actual device does not match the original predetermined device, a device adjustment instruction is generated; and then the method further includes:

[0014] If it is determined according to the overall device parameter matching information that the current actual device does not match the original predetermined device, then the actual location device placement record at the original predetermined location is retrieved based on the big data cloud storage module, wherein the actual location device placement record includes a plurality of current historical device images; historical device feature points of each current historical device image are respectively obtained according to the current historical device images; the historical device feature points are input into a preset feature matching reference model, and an actual model of the historical device is generated, wherein the feature matching reference model stores standard feature points and standard device models, the standard feature points correspond to the standard device models one by one, and when the historical device feature points match the standard feature points, the device model corresponding to the historical device feature points is the same as the standard device model corresponding to the standard feature points; the original device model of the original predetermined device is obtained; the actual model of the historical device that matches the original device model is selected from the actual models of the historical devices, and the device corresponding to the selected actual model of the historical device is set as the current tracking device; the current tracking device is sent to the staff so that the current tracking device tracks the current tracking device.

[0015] Furthermore, the current tracking device is sent to a staff member so that the current tracking device tracks the current tracking device, and then the method further includes:

[0016] According to the current tracking device, actual equipment placement history records at other equipment placement areas are obtained; according to each of the actual equipment placement history records, subsequent placement location points of the current tracking device are screened out; according to each of the subsequent placement location points, a tracking device moving path is generated; according to the tracking device moving path, a tracking device scheduling guide is generated, and according to the tracking device scheduling guide, it is sent to a device scheduling personnel, so that the device scheduling personnel can schedule the current tracking device according to the tracking device moving path.

[0017] Furthermore, a smart integrated management platform, the system includes:

[0018] An arrangement data module is used to obtain original equipment resource arrangement data in each preset resource management area, wherein the number of the preset resource management areas is multiple, and each of the original equipment resource arrangement data is data corresponding to the original arrangement plan of the original established equipment in each of the preset resource management areas, and the original equipment resource arrangement data includes the original equipment standard image and the original equipment key standard image of the original established equipment;

[0019] The established equipment module is used to obtain the original established position of each of the original established equipment and the original key monitoring area of ​​each of the original established equipment according to the original equipment resource arrangement data, and obtain the actual equipment position image of the current actual equipment at the original established position based on the preset CCD acquisition device, and at the same time obtain the current equipment key monitoring actual area image of each of the current actual equipment according to the original key monitoring area;

[0020] A standard image module, used to generate overall device parameter matching information according to the actual device position image and the original device standard image, and generate a device adjustment instruction if it is determined according to the overall device parameter matching information that the current actual device does not match the original predetermined device;

[0021] An information judgment module is used to generate device key detection comparison data based on the original device key standard image and the current device key monitoring actual area image if it is judged that the current actual device does not match the original predetermined device based on the overall device parameter matching information, and to generate a comparison parameter display interface based on the device key detection comparison data, wherein the comparison parameter display interface is used to display the device key detection comparison data.

[0022] Furthermore, the standard image module also includes:

[0023] A position image module, used to obtain the preset overall comparison fixed points, overall comparison fixed number and random image comparison number after obtaining the actual device position image;

[0024] an overall comparison module, configured to extract comparison points from the actual device position image and the original device standard image respectively according to the overall comparison fixed points and the overall comparison fixed number, and to generate a first comparison image and a second comparison image respectively, wherein the actual device position image corresponds to the first comparison image, and the original device standard image corresponds to the second comparison image;

[0025] An image comparison module, used for comparing the first comparison image with the second comparison image, and generating a current actual matching value;

[0026] A random image module, used for extracting comparison points from the actual device position image and the original device standard image respectively according to the comparison quantity of the random image, and generating a third comparison image and a fourth comparison image respectively, wherein the actual device position image corresponds to the third comparison image, and the original device standard image corresponds to the fourth comparison image;

[0027] A random comparison module, used for generating a random comparison matching value according to the third comparison image and the fourth comparison image;

[0028] A matching value generating module, used for generating a current actual matching value according to the current actual matching value and the random comparison matching value;

[0029] A marking matching module, used to determine whether the current actual matching value is greater than or equal to a preset marking matching value;

[0030] A matching judgment module, configured to judge that the current actual device matches the original predetermined device if it is judged that the current actual matching value is greater than or equal to the marked matching value; and judge that the current actual device does not match the original predetermined device if it is judged that the current actual matching value is less than the marked matching value;

[0031] The matching judgment module is used for:

[0032] According to the random image comparison quantity, an overall comparison fixed point matching the random image comparison quantity is selected and set as the current comparison reference point; the current extension direction and the current extension distance are respectively generated with the current comparison reference point as the center point; the current randomly selected point is generated according to the current comparison reference point, the current extension direction and the current extension distance; according to the current randomly selected point, comparison points are extracted from the actual device position image and a third comparison image is generated; according to the current randomly selected point, comparison points are extracted from the original device standard image and a fourth comparison image is generated.

[0033] Furthermore, the system also includes a feature matching module.

[0034] The feature matching module is used for:

[0035] If it is determined according to the overall equipment parameter matching information that the current actual equipment does not match the original predetermined equipment, then the actual position equipment placement record at the original predetermined position is retrieved based on the big data cloud storage module, wherein the actual position equipment placement record includes a plurality of current historical equipment placement images; the historical equipment placement feature points of each current historical equipment placement image are respectively obtained according to the current historical equipment placement image; the historical equipment placement feature points are input into a preset feature matching reference model, and an actual model of the historical equipment is generated, wherein the feature matching reference model stores standard feature points and standard equipment models, the standard feature points correspond to the standard equipment models one by one, and when the historical equipment placement feature points match the standard feature points, the equipment model corresponding to the historical equipment placement feature points is the same as the standard equipment model corresponding to the standard feature points; the original equipment model of the original predetermined equipment is obtained; the actual equipment model of the historical equipment matching the original equipment model is selected from the actual equipment models of the historical equipment, and the equipment corresponding to the selected actual equipment model of the historical equipment is set as the current tracking equipment; the current tracking equipment is sent to the staff so that the current tracking equipment tracks the current tracking equipment;

[0036] The feature matching module is used to: obtain actual equipment placement history records in other equipment placement areas based on the current tracking device; screen out subsequent placement location points of the current tracking device based on each of the actual equipment placement history records; generate a tracking device movement path based on each of the subsequent placement location points; generate a tracking device scheduling guide based on the tracking device movement path, and send it to the equipment scheduling personnel based on the tracking device scheduling guide, so that the equipment scheduling personnel can schedule the current tracking device according to the tracking device movement path.

[0037] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps described in the above-mentioned intelligent integrated management method when executing the computer program.

[0038] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned intelligent integrated management method.

[0039] The technical effects achieved by the present invention are as follows:

[0040] The above-mentioned intelligent comprehensive management method and platform obtain the original equipment resource arrangement data in each preset resource management area in turn, wherein the number of the preset resource management areas is multiple, and each of the original equipment resource arrangement data is the data corresponding to the original arrangement plan of the original established equipment in each preset resource management area, and the original equipment resource arrangement data includes the original equipment standard image and the original equipment key standard image of the original established equipment; according to the original equipment resource arrangement data, the original established position of each of the original established equipment and the original key monitoring area of ​​each of the original established equipment are obtained, and based on the preset CCD acquisition device, the actual equipment position image of the current actual equipment at the original established position is obtained, and at the same time, the current equipment key monitoring area of ​​each of the current actual equipment is obtained according to the original key monitoring area. Control actual area image; generate overall equipment parameter matching information according to the actual equipment position image and the original equipment standard image; if it is judged that the current actual equipment does not match the original established equipment according to the overall equipment parameter matching information, generate equipment adjustment instructions; if it is judged that the current actual equipment does not match the original established equipment according to the overall equipment parameter matching information, generate equipment key detection comparison data according to the original equipment key standard image and the current equipment key monitoring actual area image, and generate a comparison parameter display interface according to the equipment key detection comparison data, the comparison parameter display interface is used to display the equipment key detection comparison data. The present invention realizes the accurate judgment of whether the position of equipment in the smart factory is placed correctly, and realizes high-quality equipment scheduling, which greatly improves management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic diagram of a flow chart of an intelligent integrated management method in one embodiment;

[0042] Figure 2 A structural block diagram of an intelligent integrated management platform in one embodiment;

[0043] Figure 3 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0045] In one embodiment, an application scenario of the intelligent integrated management method is provided, and the application scenario includes a terminal device, a manipulator, and a CCD acquisition device that are communicatively connected in sequence, and the manipulator is used to control the CCD acquisition device to acquire images.

[0046] Furthermore, the terminal device obtains original device resource arrangement data in each preset resource management area, wherein the number of the preset resource management areas is multiple, and each of the original device resource arrangement data is data corresponding to the original arrangement plan of the original predetermined equipment in each of the preset resource management areas, and the original device resource arrangement data includes the original device standard image and the original device key standard image of the original predetermined equipment; according to the original device resource arrangement data, the original predetermined position of each of the original predetermined equipment and the original key monitoring area of ​​each of the original predetermined equipment are obtained, and based on the preset CCD acquisition device, the actual device position image of the current actual device at the original predetermined position is obtained, and at the same time, according to the original key monitoring area The domain obtains the current device key monitoring actual area image of each of the current actual devices; generates overall device parameter matching information according to the actual device position image and the original device standard image, and generates a device adjustment instruction if it is judged that the current actual device does not match the original established device according to the overall device parameter matching information; if it is judged that the current actual device does not match the original established device according to the overall device parameter matching information, generates device key detection comparison data according to the original device key standard image and the current device key monitoring actual area image, and generates a comparison parameter display interface according to the device key detection comparison data, and the comparison parameter display interface is used to display the device key detection comparison data.

[0047] Wherein, the CCD acquisition device is specifically a CCD camera.

[0048] In one embodiment, Figure 1 As shown, a smart integrated management method is provided, the method comprising:

[0049] Step S100: Acquire original device resource arrangement data in each preset resource management area, wherein the number of the preset resource management areas is multiple, and each of the original device resource arrangement data is data corresponding to the original arrangement plan of the original established equipment in each of the preset resource management areas, and the original device resource arrangement data includes the original device standard image and the original device key standard image of the original established equipment;

[0050] In this step, in order to realize intelligent retrieval and area management, the preset resource management area is pre-set, and the number of the preset resource management areas is multiple.

[0051] In this embodiment, each of the preset resource management areas corresponds to a different area label, which facilitates data management of each preset resource management area according to the area label. That is, the data corresponding to each preset resource management area has a corresponding area label, which facilitates subsequent traceability between different areas.

[0052] The originally planned equipment refers to the equipment that was originally supposed to be installed, and the original layout plan includes but is not limited to the arrangement and position combination of the originally planned equipment.

[0053] After the original predetermined devices are arranged according to the original arrangement plan, each of the original predetermined devices corresponds to an original device standard image.

[0054] Furthermore, in order to monitor and control the quality of the key core positions of the original established equipment, the key standard image of the original equipment is used to ensure that the key standard image of the original equipment is the image of the core position of the original established equipment. By obtaining the key standard image of the original equipment, it is convenient to determine whether the core position of the original established equipment is intact, that is, to determine whether the original established equipment is damaged due to transportation or other reasons.

[0055] Step S200: acquiring the original predetermined position of each of the original predetermined devices and the original key monitoring area of ​​each of the original predetermined devices according to the original device resource arrangement data, and acquiring the actual device position image of the current actual device at the original predetermined position based on a preset CCD acquisition device, and acquiring the current device key monitoring actual area image of each of the current actual devices according to the original key monitoring area;

[0056] In this embodiment, when position acquisition is performed based on the CCD acquisition device, the CCD acquisition device is driven by a manipulator to perform image acquisition, thereby realizing monitoring and image adjustment of the original key monitoring area. In addition, in order to perform subsequent accurate data comparison, the overall image and key area image are taken, that is, the actual device position image of the current actual device at the original predetermined position is obtained, and at the same time, the current device key monitoring actual area image of each current actual device is obtained according to the original key monitoring area.

[0057] Step S300: generating overall device parameter matching information according to the actual device position image and the original device standard image, and generating a device adjustment instruction if it is determined according to the overall device parameter matching information that the current actual device does not match the original predetermined device;

[0058] Step S400: If it is determined based on the overall device parameter matching information that the current actual device does not match the original predetermined device, device key detection comparison data is generated based on the original device key standard image and the current device key monitoring actual area image, and a comparison parameter display interface is generated based on the device key detection comparison data, and the comparison parameter display interface is used to display the device key detection comparison data.

[0059] In this embodiment, in order to achieve precise, efficient and accurate management and regulation of the current equipment, the overall equipment parameter matching information is generated according to the actual equipment position image and the original equipment standard image. If it is judged according to the overall equipment parameter matching information that the current actual equipment does not match the original established equipment, an equipment adjustment instruction is generated, wherein the equipment adjustment instruction is used to send to relevant staff, thereby achieving convenient and fast location scheduling and placement of the equipment.

[0060] In addition, by determining that the current actual device does not match the original established device, device key detection comparison data is generated according to the original device key standard image and the current device key monitoring actual area image, and a comparison parameter display interface is generated according to the device key detection comparison data. The comparison parameter display interface is used to display the device key detection comparison data, thereby realizing efficient device resource management while also being able to display the data in a humanized manner, that is, by displaying the comparison parameter display interface, the device key detection comparison data can be visually displayed, thereby improving the use effect.

[0061] In one embodiment, step S300: generating overall device parameter matching information according to the actual device position image and the original device standard image, and if it is determined according to the overall device parameter matching information that the current actual device does not match the original predetermined device, generating a device adjustment instruction, specifically includes:

[0062] Step S310: after acquiring the actual device position image, obtaining the preset overall comparison fixed points, overall comparison fixed number and random image comparison number;

[0063] Step S320: extracting comparison points from the actual device position image and the original device standard image respectively according to the overall comparison fixed points and the overall comparison fixed number, and generating a first comparison image and a second comparison image respectively, wherein the actual device position image corresponds to the first comparison image, and the original device standard image corresponds to the second comparison image;

[0064] Step S330: comparing the first comparison image and the second comparison image, and generating a current actual matching value;

[0065] In this embodiment, in order to achieve accurate comparison of data, that is, to achieve accurate comparison of images, pre-set overall comparison fixed points, overall comparison fixed numbers and random image comparison numbers are obtained; wherein the overall comparison fixed points, the overall comparison fixed numbers and the random image comparison numbers are all pre-set.

[0066] The overall comparison fixed points are points on the device that require fixed inspection and comparison, such as the point where the main control device of the device is located, or the point where the outer casing of the device is located, or other important points of the device. In addition, the overall comparison fixed number and the random image comparison number are both pre-set, and the actual value of the random image comparison number is smaller than the overall comparison fixed number.

[0067] Then, according to the overall contrast fixed points and the overall contrast fixed number, contrast points are extracted from the actual device position image and the original device standard image respectively, and a first contrast image and a second contrast image are generated respectively, wherein the actual device position image corresponds to the first contrast image and the original device standard image corresponds to the second contrast image; then, the first contrast image and the second contrast image are compared, and a current actual matching value is generated.

[0068] Step S370: extracting comparison points from the actual device position image and the original device standard image respectively according to the random image comparison quantity, and generating a third comparison image and a fourth comparison image respectively, wherein the actual device position image corresponds to the third comparison image, and the original device standard image corresponds to the fourth comparison image;

[0069] Step S350: generating a random comparison matching value according to the third comparison image and the fourth comparison image;

[0070] Step S360: generating a current actual matching value according to the current actual matching value and the random comparison matching value;

[0071] In this embodiment, comparison points are first extracted from the actual device position image and the original device standard image, and a third comparison image and a fourth comparison image are generated respectively. Then, a random comparison matching value is generated according to the third comparison image and the fourth comparison image, and then a current actual matching value is generated. That is, the current actual matching value and the random comparison matching value are added to generate the current actual matching value.

[0072] Step S370: determining whether the current actual matching value is greater than or equal to a preset marked matching value;

[0073] Step S380: If it is determined that the current actual matching value is greater than or equal to the marked matching value, it is determined that the current actual device matches the original predetermined device; if it is determined that the current actual matching value is less than the marked matching value, it is determined that the current actual device does not match the original predetermined device.

[0074] In this embodiment, it is first determined whether the current actual matching value is greater than or equal to the preset marked matching value; if it is determined that the current actual matching value is greater than or equal to the marked matching value, it is determined that the current actual device matches the original predetermined device; if it is determined that the current actual matching value is less than the marked matching value, it is determined that the current actual device does not match the original predetermined device.

[0075] In one embodiment, step S370: extracting comparison points from the actual device position image and the original device standard image respectively according to the random image comparison quantity, and generating a third comparison image and a fourth comparison image respectively, wherein the actual device position image corresponds to the third comparison image, and the original device standard image corresponds to the fourth comparison image; specifically includes:

[0076] Step S371: selecting an overall comparison fixed point that matches the random image comparison number according to the random image comparison number, and setting it as a current comparison reference point;

[0077] Step S372: Generate a current expansion direction and a current expansion distance respectively with the current comparison reference point as the center point;

[0078] Step S373: generating a current randomly selected point according to the current comparison reference point, the current expansion direction and the current expansion distance;

[0079] In this embodiment, for example, when the specific value of the random image comparison number is 10, 10 overall comparison fixed points are selected, and these 10 overall comparison fixed points are set as current comparison reference points, that is, in step S371: according to the random image comparison number, an overall comparison fixed point matching the random image comparison number is selected, and set as the current comparison reference point.

[0080] Then, the current expansion direction and the current expansion distance are generated respectively with the current comparison reference point as the center point, wherein the current expansion direction takes the current comparison reference point adjacent to the current comparison reference point as the reference direction, such as taking the current comparison reference point as point A, and the current comparison reference point adjacent to the current comparison reference point as point B, then the current expansion direction of point A is the direction deviating 15° from the left of point B, and the current expansion distance is also set with point B as the reference point, such as 122 cm from point B is the current expansion distance.

[0081] Next, based on the current comparison reference point, a point located according to the current extension direction and the current extension distance is the current randomly selected point.

[0082] That is, the currently randomly selected point is a point that is referenced and adjacent to the overall comparison fixed point.

[0083] Step S374: extracting comparison points from the actual device position image according to the current randomly selected point, and generating a third comparison image;

[0084] Step S375: extracting comparison points from the original device standard image according to the current randomly selected points, and generating a fourth comparison image.

[0085] In this embodiment, in order to achieve accurate comparison of data, comparison points are extracted from the actual device position image according to the current randomly selected points, and a third comparison image is generated. Then, comparison points are extracted from the original device standard image according to the current randomly selected points, and a fourth comparison image is generated. Then, by generating the third comparison image and the fourth comparison image, accurate acquisition of the comparison image is achieved.

[0086] In one embodiment, step S300: generating overall device parameter matching information according to the actual device position image and the original device standard image, and generating a device adjustment instruction if it is determined according to the overall device parameter matching information that the current actual device does not match the original predetermined device; and then further comprising:

[0087] Step S510: if it is determined according to the overall device parameter matching information that the current actual device does not match the original predetermined device, then the actual location device placement record at the original predetermined location is retrieved based on the big data cloud storage module, wherein the actual location device placement record includes a plurality of current historical device placement images;

[0088] Among them, the big data cloud storage module is pre-set, and its function is to store data and obtain data matching the stored data from the preset cloud based on big data, and at the same time perform basic error screening on the data. For example, typos that may exist in the actual location equipment placement records can be corrected through the big data cloud storage module, and the big data cloud storage module also has a storage function.

[0089] Step S520: acquiring historical placement device feature points of each current historical placement device image according to the current historical placement device image;

[0090] Step S530: inputting the historical device feature point into a preset feature matching reference model, and generating an actual model of the historical device, wherein the feature matching reference model stores standard feature points and standard device models, the standard feature points correspond to the standard device models one by one, and when the historical device feature point matches the standard feature point, the device model corresponding to the historical device feature point is the same as the standard device model corresponding to the standard feature point;

[0091] In this embodiment, the historical placement device feature points are actual features that characterize the device corresponding to the current historical placement device image, such as the actual features of a computer device being a large screen, or the actual features of a robot arm being grippers and multiple axes, and the actual model is then acquired through the historical placement device feature points.

[0092] Furthermore, the feature matching reference model stores standard feature points and standard equipment models, and the standard feature points correspond to the standard equipment models one by one. When the historically placed equipment feature points are input into the preset feature matching reference model, data comparison is performed. If the historically placed equipment feature points match the standard feature points, the equipment model corresponding to the historically placed equipment feature points is the same as the standard equipment model corresponding to the standard feature points.

[0093] Step S540: obtaining the original device model of the original predetermined device;

[0094] Step S550: Filter out the historical device actual model that matches the original device model from the historical device actual models, and set the device corresponding to the filtered historical device actual model as the currently sought device;

[0095] Step S560: Send the current tracking device to a staff member so that the current tracking device can track the current tracking device.

[0096] In this embodiment, in order to achieve more accurate and convenient data acquisition, the original device model of the original established device is obtained; then, the actual model of the historical device that matches the original device model is screened out from the actual models of each of the historical devices, and the device corresponding to the screened actual model of the historical device is set as the current tracking device; finally, the current tracking device is sent to the staff, so that the current tracking device tracks the current tracking device, thereby facilitating the current tracking device to track the current tracking device.

[0097] In one embodiment, step S560: sending the current tracking device to a staff member so that the current tracking device tracks the current tracking device, and then further comprising:

[0098] Step S561: Acquire actual device placement history records in other device placement areas according to the currently tracked device;

[0099] Step S562: Filtering out subsequent placement locations of the currently sought device according to the actual device placement history records;

[0100] In this embodiment, the other equipment placement areas are other preset resource management areas outside the current area, and each of the preset resource management areas corresponds to a device placement record, that is, the actual equipment placement history record.

[0101] Step S563: generating a moving path of the tracking device according to each of the subsequent placement locations;

[0102] Step S564: Generate a tracking device scheduling guide according to the tracking device moving path, and send the tracking device scheduling guide to a device scheduling personnel according to the tracking device moving path, so that the device scheduling personnel can schedule the current tracking device according to the tracking device moving path.

[0103] In this embodiment, in order to realize the subsequent convenient and rapid tracking of the location information of the device, a tracking device moving path is generated according to each of the subsequent placement locations; then, a tracking device scheduling guide is generated according to the tracking device moving path, and sent to the device dispatcher according to the tracking device scheduling guide, so that the device dispatcher can dispatch the current tracking device according to the tracking device moving path. Compared with the prior art of directly querying the current location, the present invention can more accurately obtain the moving path of the device through real-time historical records, and then accurately query according to the path.

[0104] Furthermore, when querying the device according to the moving path of the tracking device, the actual usage information of the device is obtained at the same time. When the last position of the current tracking device is obtained, multiple pieces of the actual usage information are obtained. Then, the current tracking device can be actually tracked and information processed according to the actual usage information, thereby improving the convenience of subsequent use.

[0105] In one embodiment, Figure 2 As shown, a smart integrated management platform is provided, the system comprising:

[0106] An arrangement data module is used to obtain original equipment resource arrangement data in each preset resource management area, wherein the number of the preset resource management areas is multiple, and each of the original equipment resource arrangement data is data corresponding to the original arrangement plan of the original established equipment in each of the preset resource management areas, and the original equipment resource arrangement data includes the original equipment standard image and the original equipment key standard image of the original established equipment;

[0107] The established equipment module is used to obtain the original established position of each of the original established equipment and the original key monitoring area of ​​each of the original established equipment according to the original equipment resource arrangement data, and obtain the actual equipment position image of the current actual equipment at the original established position based on the preset CCD acquisition device, and at the same time obtain the current equipment key monitoring actual area image of each of the current actual equipment according to the original key monitoring area;

[0108] A standard image module, used to generate overall device parameter matching information according to the actual device position image and the original device standard image, and generate a device adjustment instruction if it is determined according to the overall device parameter matching information that the current actual device does not match the original predetermined device;

[0109] An information judgment module is used to generate device key detection comparison data based on the original device key standard image and the current device key monitoring actual area image if it is judged that the current actual device does not match the original predetermined device based on the overall device parameter matching information, and to generate a comparison parameter display interface based on the device key detection comparison data, wherein the comparison parameter display interface is used to display the device key detection comparison data.

[0110] In one embodiment, the standard image module further includes:

[0111] A position image module, used to obtain the preset overall comparison fixed points, overall comparison fixed number and random image comparison number after obtaining the actual device position image;

[0112] an overall comparison module, configured to extract comparison points from the actual device position image and the original device standard image respectively according to the overall comparison fixed points and the overall comparison fixed number, and to generate a first comparison image and a second comparison image respectively, wherein the actual device position image corresponds to the first comparison image, and the original device standard image corresponds to the second comparison image;

[0113] An image comparison module, used for comparing the first comparison image with the second comparison image, and generating a current actual matching value;

[0114] A random image module, used for extracting comparison points from the actual device position image and the original device standard image respectively according to the comparison quantity of the random image, and generating a third comparison image and a fourth comparison image respectively, wherein the actual device position image corresponds to the third comparison image, and the original device standard image corresponds to the fourth comparison image;

[0115] A random comparison module, used for generating a random comparison matching value according to the third comparison image and the fourth comparison image;

[0116] A matching value generating module, used for generating a current actual matching value according to the current actual matching value and the random comparison matching value;

[0117] A marking matching module, used to determine whether the current actual matching value is greater than or equal to a preset marking matching value;

[0118] A matching judgment module, configured to judge that the current actual device matches the original predetermined device if it is judged that the current actual matching value is greater than or equal to the marked matching value; and judge that the current actual device does not match the original predetermined device if it is judged that the current actual matching value is less than the marked matching value;

[0119] The matching judgment module is used for:

[0120] According to the random image comparison quantity, an overall comparison fixed point matching the random image comparison quantity is selected and set as the current comparison reference point; the current extension direction and the current extension distance are respectively generated with the current comparison reference point as the center point; the current randomly selected point is generated according to the current comparison reference point, the current extension direction and the current extension distance; according to the current randomly selected point, comparison points are extracted from the actual device position image and a third comparison image is generated; according to the current randomly selected point, comparison points are extracted from the original device standard image and a fourth comparison image is generated.

[0121] In one embodiment, the system further comprises a feature matching module, wherein the feature matching module is configured to:

[0122] If it is determined according to the overall equipment parameter matching information that the current actual equipment does not match the original predetermined equipment, then the actual position equipment placement record at the original predetermined position is retrieved based on the big data cloud storage module, wherein the actual position equipment placement record includes a plurality of current historical equipment placement images; the historical equipment placement feature points of each current historical equipment placement image are respectively obtained according to the current historical equipment placement image; the historical equipment placement feature points are input into a preset feature matching reference model, and an actual model of the historical equipment is generated, wherein the feature matching reference model stores standard feature points and standard equipment models, the standard feature points correspond to the standard equipment models one by one, and when the historical equipment placement feature points match the standard feature points, the equipment model corresponding to the historical equipment placement feature points is the same as the standard equipment model corresponding to the standard feature points; the original equipment model of the original predetermined equipment is obtained; the actual equipment model of the historical equipment matching the original equipment model is selected from the actual equipment models of the historical equipment, and the equipment corresponding to the selected actual equipment model of the historical equipment is set as the current tracking equipment; the current tracking equipment is sent to the staff so that the current tracking equipment tracks the current tracking equipment;

[0123] The feature matching module is used to: obtain actual equipment placement history records in other equipment placement areas based on the current tracking device; screen out subsequent placement location points of the current tracking device based on each of the actual equipment placement history records; generate a tracking device movement path based on each of the subsequent placement location points; generate a tracking device scheduling guide based on the tracking device movement path, and send it to the equipment scheduling personnel based on the tracking device scheduling guide, so that the equipment scheduling personnel can schedule the current tracking device according to the tracking device movement path.

[0124] In one embodiment, Figure 3 As shown, a computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps described in the above-mentioned intelligent integrated management method when executing the computer program.

[0125] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned intelligent integrated management method.

[0126] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0127] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0128] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. An intelligent integrated management method, It is characterized in that The method comprises: Obtain original equipment resource arrangement data in each preset resource management area, wherein the number of the preset resource management areas is multiple, and each of the original equipment resource arrangement data is data corresponding to the original arrangement plan of the original established equipment in each of the preset resource management areas, and the original equipment resource arrangement data includes the original equipment standard image and the original equipment key standard image of the original established equipment; according to the original equipment resource arrangement data, obtain the original established position of each of the original established equipment and the original key monitoring area of ​​each of the original established equipment, and obtain the actual equipment position image of the current actual equipment at the original established position based on the preset CCD acquisition device, and at the same time obtain each of the original key monitoring areas according to the original key monitoring areas The present invention further comprises the following steps: generating an image of the current device key monitoring actual area of ​​the current actual device; generating overall device parameter matching information based on the actual device position image and the original device standard image; and generating a device adjustment instruction if it is judged that the current actual device does not match the original established device based on the overall device parameter matching information; and generating device key detection comparison data based on the original device key standard image and the current device key monitoring actual area image, and generating a comparison parameter display interface based on the device key detection comparison data, wherein the comparison parameter display interface is used to display the device key detection comparison data.

2. According to the intelligent integrated management method of claim 1, It is characterized in that Generate overall device parameter matching information according to the actual device position image and the original device standard image, and if it is determined according to the overall device parameter matching information that the current actual device does not match the original predetermined device, generate a device adjustment instruction, specifically including: After acquiring the actual device position image, obtain the preset overall comparison fixed points, overall comparison fixed number and random image comparison number; extract comparison points from the actual device position image and the original device standard image according to the overall comparison fixed points and the overall comparison fixed number, and generate a first comparison image and a second comparison image respectively, wherein the actual device position image corresponds to the first comparison image and the original device standard image corresponds to the second comparison image; compare the first comparison image and the second comparison image, and generate a current actual matching value; extract comparison points from the actual device position image and the original device standard image according to the random image comparison number. Take, and generate a third comparison image and a fourth comparison image respectively, wherein the actual device position image corresponds to the third comparison image, and the original device standard image corresponds to the fourth comparison image; generate a random comparison matching value according to the third comparison image and the fourth comparison image; generate a current actual matching value according to the current actual matching value and the random comparison matching value; judge whether the current actual matching value is greater than or equal to a preset annotated matching value; if it is judged that the current actual matching value is greater than or equal to the annotated matching value, then judge that the current actual device matches the original established device; if it is judged that the current actual matching value is less than the annotated matching value, then judge that the current actual device does not match the original established device.

3. According to the intelligent integrated management method of claim 2, It is characterized in that Extracting comparison points from the actual device position image and the original device standard image respectively according to the random image comparison quantity, and generating a third comparison image and a fourth comparison image respectively, wherein the actual device position image corresponds to the third comparison image, and the original device standard image corresponds to the fourth comparison image; specifically comprising: According to the random image comparison quantity, an overall comparison fixed point matching the random image comparison quantity is selected and set as the current comparison reference point; the current extension direction and the current extension distance are respectively generated with the current comparison reference point as the center point; the current randomly selected point is generated according to the current comparison reference point, the current extension direction and the current extension distance; according to the current randomly selected point, comparison points are extracted from the actual device position image and a third comparison image is generated; according to the current randomly selected point, comparison points are extracted from the original device standard image and a fourth comparison image is generated.

4. According to any one of claims 1 to 3, the intelligent integrated management method, It is characterized in that Generate overall device parameter matching information according to the actual device position image and the original device standard image, and if it is determined according to the overall device parameter matching information that the current actual device does not match the original predetermined device, generate a device adjustment instruction; and then also include: If it is determined according to the overall device parameter matching information that the current actual device does not match the original predetermined device, then the actual location device placement record at the original predetermined location is retrieved based on the big data cloud storage module, wherein the actual location device placement record includes a plurality of current historical device images; historical device feature points of each current historical device image are respectively obtained according to the current historical device images; the historical device feature points are input into a preset feature matching reference model, and an actual model of the historical device is generated, wherein the feature matching reference model stores standard feature points and standard device models, the standard feature points correspond to the standard device models one by one, and when the historical device feature points match the standard feature points, the device model corresponding to the historical device feature points is the same as the standard device model corresponding to the standard feature points; the original device model of the original predetermined device is obtained; the actual model of the historical device that matches the original device model is selected from the actual models of the historical devices, and the device corresponding to the selected actual model of the historical device is set as the current tracking device; the current tracking device is sent to the staff so that the current tracking device tracks the current tracking device.

5. According to the intelligent integrated management method of claim 4, It is characterized in that sending the current tracking device to a worker so that the current tracking device can track the current tracking device, and then further comprising: According to the current tracking device, actual equipment placement history records at other equipment placement areas are obtained; according to each of the actual equipment placement history records, subsequent placement location points of the current tracking device are screened out; according to each of the subsequent placement location points, a tracking device moving path is generated; according to the tracking device moving path, a tracking device scheduling guide is generated, and according to the tracking device scheduling guide, it is sent to a device scheduling personnel, so that the device scheduling personnel can schedule the current tracking device according to the tracking device moving path.

6. An intelligent integrated management platform, It is characterized in that The platform includes: An arrangement data module is used to obtain original equipment resource arrangement data in each preset resource management area, wherein the number of the preset resource management areas is multiple, and each of the original equipment resource arrangement data is data corresponding to the original arrangement plan of the original established equipment in each of the preset resource management areas, and the original equipment resource arrangement data includes the original equipment standard image and the original equipment key standard image of the original established equipment; The established equipment module is used to obtain the original established position of each of the original established equipment and the original key monitoring area of ​​each of the original established equipment according to the original equipment resource arrangement data, and obtain the actual equipment position image of the current actual equipment at the original established position based on the preset CCD acquisition device, and at the same time obtain the current equipment key monitoring actual area image of each of the current actual equipment according to the original key monitoring area; A standard image module, used to generate overall device parameter matching information according to the actual device position image and the original device standard image, and generate a device adjustment instruction if it is determined according to the overall device parameter matching information that the current actual device does not match the original predetermined device; An information judgment module is used to generate device key detection comparison data based on the original device key standard image and the current device key monitoring actual area image if it is judged that the current actual device does not match the original predetermined device based on the overall device parameter matching information, and to generate a comparison parameter display interface based on the device key detection comparison data, wherein the comparison parameter display interface is used to display the device key detection comparison data.

7. According to the intelligent integrated management platform of claim 6, It is characterized in that The standard image module also includes: A position image module, used to obtain the preset overall comparison fixed points, overall comparison fixed number and random image comparison number after obtaining the actual device position image; an overall comparison module, configured to extract comparison points from the actual device position image and the original device standard image respectively according to the overall comparison fixed points and the overall comparison fixed number, and to generate a first comparison image and a second comparison image respectively, wherein the actual device position image corresponds to the first comparison image, and the original device standard image corresponds to the second comparison image; An image comparison module, used for comparing the first comparison image with the second comparison image, and generating a current actual matching value; A random image module, used for extracting comparison points from the actual device position image and the original device standard image respectively according to the comparison quantity of the random image, and generating a third comparison image and a fourth comparison image respectively, wherein the actual device position image corresponds to the third comparison image, and the original device standard image corresponds to the fourth comparison image; A random comparison module, used for generating a random comparison matching value according to the third comparison image and the fourth comparison image; A matching value generating module, used for generating a current actual matching value according to the current actual matching value and the random comparison matching value; A marking matching module, used to determine whether the current actual matching value is greater than or equal to a preset marking matching value; A matching judgment module, configured to judge that the current actual device matches the original predetermined device if it is judged that the current actual matching value is greater than or equal to the marked matching value; and judge that the current actual device does not match the original predetermined device if it is judged that the current actual matching value is less than the marked matching value; The matching judgment module is used for: According to the random image comparison quantity, an overall comparison fixed point matching the random image comparison quantity is selected and set as the current comparison reference point; the current extension direction and the current extension distance are respectively generated with the current comparison reference point as the center point; the current randomly selected point is generated according to the current comparison reference point, the current extension direction and the current extension distance; according to the current randomly selected point, comparison points are extracted from the actual device position image and a third comparison image is generated; according to the current randomly selected point, comparison points are extracted from the original device standard image and a fourth comparison image is generated.

8. According to the intelligent integrated management platform of claim 6, It is characterized in that The platform also includes a feature matching module, The feature matching module is used for: If it is determined according to the overall equipment parameter matching information that the current actual equipment does not match the original predetermined equipment, then the actual position equipment placement record at the original predetermined position is retrieved based on the big data cloud storage module, wherein the actual position equipment placement record includes a plurality of current historical equipment placement images; the historical equipment placement feature points of each current historical equipment placement image are respectively obtained according to the current historical equipment placement image; the historical equipment placement feature points are input into a preset feature matching reference model, and an actual model of the historical equipment is generated, wherein the feature matching reference model stores standard feature points and standard equipment models, the standard feature points correspond to the standard equipment models one by one, and when the historical equipment placement feature points match the standard feature points, the equipment model corresponding to the historical equipment placement feature points is the same as the standard equipment model corresponding to the standard feature points; the original equipment model of the original predetermined equipment is obtained; the actual equipment model of the historical equipment matching the original equipment model is selected from the actual equipment models of the historical equipment, and the equipment corresponding to the selected actual equipment model of the historical equipment is set as the current tracking equipment; the current tracking equipment is sent to the staff so that the current tracking equipment tracks the current tracking equipment; The feature matching module is used to: obtain actual equipment placement history records in other equipment placement areas based on the current tracking device; screen out subsequent placement location points of the current tracking device based on each of the actual equipment placement history records; generate a tracking device movement path based on each of the subsequent placement location points; generate a tracking device scheduling guide based on the tracking device movement path, and send it to the equipment scheduling personnel based on the tracking device scheduling guide, so that the equipment scheduling personnel can schedule the current tracking device according to the tracking device movement path.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program. It is characterized in that When the processor executes the computer program, the steps of the method according to any one of claims 1 to 3 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, It is characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 3 are implemented.

Images