Crane counterweight detection method, system, terminal device and storage medium
By acquiring and analyzing the crane counterweight detection area information, identifying features and calculating counterweight data, the safety issues caused by crane counterweight errors are resolved, and the safety of the crane lifting process is improved.
Patent Information
- Application Number
- CN202211163978.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-09-23
- Publication Date
- 2025-09-05
- Estimated Expiration
- 2042-09-23
AI Technical Summary
Crane rollover accidents during lifting due to incorrect counterweights and lack of effective counterweight analysis lead to poor lifting safety.
By obtaining the counterweight detection area information, identifying feature information, generating counterweight data, and judging whether it meets the preset standards, calculating the counterweight information, analyzing the lifting safety range, providing related information and warnings, and adjusting the counterweight configuration.
It improves the safety of the crane during lifting and ensures the safety and stability of the crane during lifting by accurately obtaining and analyzing counterweight information.
Smart Images

Figure CN115432577B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of engineering equipment technology, and in particular to a crane counterweight detection method, system, terminal device and storage medium. Background Art
[0002] The crane counterweight is used to keep the crane balanced, and its weight is adjusted according to the strength of the crane itself.
[0003] Normally, the counterweights of some large-tonnage cranes are detachable. When lifting small-tonnage objects, less or no counterweight can be hung. However, when lifting large-tonnage objects, all counterweights must be hung, and even a super-lifting device is required. When the crane has a single-sided cantilever or one side is heavier, a counterweight is required on the other side. The counterweight is often replaced by cement blocks or iron blocks. The counterweight is different depending on the balance of each wheel hub. The counterweight is installed to ensure that the wheel hub remains balanced when rolling.
[0004] During the operation of the crane, the wrong counterweight may lead to a crane rollover accident during the lifting process. There is a lack of effective analysis of the crane counterweight, and the lifting safety is poor. Summary of the Invention
[0005] In order to improve the safety of cranes during the lifting process, the present application provides a crane counterweight detection method, system, terminal device and storage medium.
[0006] In a first aspect, the present application provides a crane counterweight detection method comprising the following steps:
[0007] Get the counterweight detection area information;
[0008] Identifying the counterweight detection area information to form feature information corresponding to the counterweight;
[0009] Reading the characteristic information and generating corresponding weight data;
[0010] Determining whether the weight balance data meets the preset weight balance standard;
[0011] If the weight data meets the preset weight standard, the weight data is calculated according to the preset operation rules to generate corresponding weight information;
[0012] If the weight data does not meet the preset weight standard, obtaining corresponding associated information according to the weight data, and generating corresponding weight information according to the associated information;
[0013] The counterweight information is analyzed according to the preset lifting standard to form a corresponding detection result. The specific steps include:
[0014] Get the crane's own weight and the weight of the object being hoisted;
[0015] Acquiring arm opening data according to the crane's own weight, the weight of the hoisted object, and the counterweight information;
[0016] Determining whether the arm opening data meets a preset arm opening standard;
[0017] If the arm opening data meets the preset arm opening standard, the corresponding arm opening range is obtained according to the arm opening data, and the corresponding detection result is formed according to the arm opening range.
[0018] By adopting the above technical solution, the characteristic information corresponding to the counterweight is obtained from the counterweight detection area information, and the characteristic information is then read to generate the current counterweight data corresponding to the crane counterweight. It is further determined whether the counterweight data meets the preset counterweight standard corresponding to the crane counterweight. If it meets the standard, the counterweight data is calculated according to the preset operation rules to obtain the relevant counterweight information of the total weight of the counterweight. If it does not meet the standard, the associated information corresponding to the counterweight is obtained, and the corresponding counterweight information is generated in combination with the obtained associated information. Finally, the current counterweight information is analyzed according to the preset lifting standard to obtain the detection result of the lifting range of the current counterweight of the crane. According to the weight of the lifting target and the lifting range of the crane, a rough estimate is made to decide whether to adjust the crane counterweight, thereby improving the safety of the crane during the lifting process. It is determined whether the arm opening data meets the corresponding preset arm opening standard, so that it is convenient to determine the arm opening range of the crane in combination with the current weight of the hoisted object.
[0019] Optionally, the associated information includes weight attribute information, and if the weight data does not meet the preset weight standard, obtaining corresponding associated information according to the weight data, and generating corresponding weight information according to the associated information includes the following steps:
[0020] If the weight data does not meet the preset weight standard, obtaining corresponding material attributes according to the weight attribute information;
[0021] Determining whether the material properties meet the preset counterweight material standards;
[0022] If the material properties meet the preset counterweight material standard, then obtaining corresponding material physical data and specification data according to the material properties;
[0023] The corresponding weight information is generated by combining the material physical data and the specification data.
[0024] By adopting the above technical solution, when the counterweight data does not meet the preset counterweight standard, the corresponding material physical data and specification data are obtained according to the material properties of the counterweight, thereby improving the efficiency and accuracy of obtaining crane counterweight information.
[0025] Optionally, combining the material physical data and the specification data to generate the corresponding counterweight information includes the following steps:
[0026] Determining whether the counterweight is made of the same material according to the characteristic information;
[0027] If the weights are made of the same material, then the corresponding quantity of the same material is obtained;
[0028] Combining the material physical data, the specification data and the quantity of the same type, generating the corresponding counterweight information;
[0029] If the counterweights are made of different materials, the corresponding target material properties and the corresponding target quantity are obtained;
[0030] According to the target material properties, obtaining corresponding target material physical data and target specification data;
[0031] The corresponding counterweight information is generated by combining the target material physical data, the target specification data and the target quantity.
[0032] By adopting the above technical solution, classification analysis is performed based on whether the current counterweight is made of the same material or different materials, and the corresponding counterweight information is further obtained, thereby facilitating the acquisition of the corresponding counterweight information based on the actual situation of the current counterweight.
[0033] Optionally, before determining whether the material attribute meets the preset counterweight material standard, the method further includes the following steps:
[0034] According to the counterweight attribute information, obtaining corresponding outer contour data;
[0035] Determining whether the outer contour data meets a preset outer contour standard;
[0036] If the outer contour data does not meet the preset outer contour standard, obtaining corresponding target defect data;
[0037] Determine whether the target defect meets the preset lifting standard;
[0038] If the target defect does not meet the preset lifting standard, the target defect is characterized according to the preset hidden danger standard to generate a target hidden danger level;
[0039] According to the target hidden danger level, corresponding warning information is generated.
[0040] By adopting the above technical solution, it is possible to determine whether the outer contour data of the current crane counterweight meets the corresponding preset outer contour standard, and further eliminate the hidden dangers of the current crane counterweight, thereby improving the safety of the crane during the lifting process.
[0041] Optionally, if the weight data meets the preset weight standard, calculating the weight data according to a preset operation rule to generate corresponding weight information includes the following steps:
[0042] If the counterweight data meets the preset counterweight standard, obtaining corresponding weight identification data and counterweight quantity according to the counterweight data;
[0043] identifying the weight identification data and generating a corresponding target weight;
[0044] The counterweight quantity and the target weight are calculated according to the preset operation rules to generate the corresponding counterweight information.
[0045] By adopting the above technical solution, the weight of the current counterweight is identified according to the weight identification data, thereby facilitating the acquisition of the counterweight information of the crane in combination with the corresponding counterweight quantity.
[0046] Optionally, analyzing the counterweight information according to a preset lifting standard to form a corresponding detection result includes the following steps:
[0047] Determining the counterweight force points according to the number of counterweights and the target weight;
[0048] Analyze the counterweight force points according to the preset center of gravity rule to generate the corresponding counterweight center of gravity point;
[0049] Get the weight of the suspended object;
[0050] Constructing a corresponding fitting curve based on the center of gravity of the counterweight and the weight of the suspended object;
[0051] Obtaining the weight range of the suspended object according to the fitting curve;
[0052] The corresponding detection result is generated according to the weight range of the suspended object.
[0053] By adopting the above technical solution, the corresponding lifting fitting curve is constructed in combination with the center of gravity of the counterweight and the weight of the hoisted object, so that the weight range of the hoisted object of the current crane can be determined according to the lifting fitting curve.
[0054] In a second aspect, the present application provides a crane counterweight detection system, comprising:
[0055] An acquisition module is used to obtain the counterweight detection area information;
[0056] An identification module, configured to identify the counterweight detection area information and form characteristic information corresponding to the counterweight;
[0057] A reading module, configured to read the characteristic information and generate corresponding weight data;
[0058] A judgment module, used to judge whether the weight data meets the preset weight standard;
[0059] a calculation module, configured to calculate the weight data according to a preset operation rule and generate corresponding weight information if the weight data meets the preset weight standard;
[0060] A combining module, wherein if the weight data does not meet the preset weight standard, the combining module is used to obtain corresponding associated information according to the weight data, and generate the corresponding weight information in combination with the associated information;
[0061] A formation module is used to analyze the counterweight information according to a preset lifting standard to form a corresponding detection result.
[0062] By adopting the above technical solution, the counterweight detection area information obtained by the identification module is obtained by the acquisition module to form the characteristic information corresponding to the counterweight, and then the characteristic information is read by the reading module to generate the counterweight data corresponding to the current counterweight of the crane. The judgment module further judges whether the counterweight data meets the preset counterweight standard corresponding to the crane counterweight. If it meets the standard, the calculation module calculates the counterweight data according to the preset operation rules to obtain the relevant counterweight information of the total weight of the counterweight. If it does not meet the standard, the corresponding associated information of the counterweight is obtained, and the corresponding counterweight information is generated by combining the associated information through the combination module. Finally, the current counterweight information is analyzed according to the preset lifting standard through the formation module to obtain the detection result of the lifting range of the current counterweight of the crane. According to the weight of the lifting target and the lifting range of the crane, a rough estimate is made to decide whether to adjust the counterweight of the crane, thereby improving the safety of the crane during the lifting process.
[0063] In a third aspect, the present application provides a terminal device that adopts the following technical solution:
[0064] A terminal device includes a memory and a processor, wherein the memory stores computer instructions that can be run on the processor, and when the processor loads and executes the computer instructions, the above-mentioned crane counterweight detection method is adopted.
[0065] By adopting the above technical solution, the above-mentioned crane counterweight detection method is generated into computer instructions and stored in a memory so as to be loaded and executed by a processor, thereby making a terminal device based on the memory and the processor for easy use.
[0066] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:
[0067] A computer-readable storage medium stores computer instructions. When the computer instructions are loaded and executed by a processor, the above-mentioned crane counterweight detection method is adopted.
[0068] By adopting the above technical solution, the above-mentioned crane counterweight detection method is generated into computer instructions and stored in a computer-readable storage medium so as to be loaded and executed by a processor. The computer-readable storage medium facilitates the reading and storage of computer instructions.
[0069] To sum up, the present application includes at least one of the following beneficial technical effects: obtaining characteristic information corresponding to the counterweight from the counterweight detection area information, then reading the characteristic information to generate the counterweight data corresponding to the current crane counterweight, and further judging whether the counterweight data meets the preset counterweight standard corresponding to the crane counterweight; if so, calculating the counterweight data according to the preset operation rules, and obtaining the relevant counterweight information of the total weight of the counterweight; if not, obtaining the associated information corresponding to the counterweight, and generating the corresponding counterweight information in combination with the acquired associated information; finally, analyzing the current counterweight information according to the preset lifting standard, and obtaining the detection result of the lifting range of the crane's current counterweight; making a rough estimate based on the weight of the lifting target and the lifting range of the crane, and deciding whether to adjust the crane counterweight, thereby improving the safety of the crane during the lifting process. BRIEF DESCRIPTION OF THE DRAWINGS
[0070] Figure 1 It is a flow chart of steps S101 to S107 in a crane counterweight detection method of the present application.
[0071] Figure 2 It is a flow chart of steps S201 to S204 in a crane counterweight detection method of the present application.
[0072] Figure 3 It is a flow chart of steps S301 to S306 in a crane counterweight detection method of the present application.
[0073] Figure 4 It is a flow chart of steps S401 to S406 in a crane counterweight detection method of the present application.
[0074] Figure 5 It is a flow chart of steps S501 to S503 in a crane counterweight detection method of the present application.
[0075] Figure 6 It is a flow chart of steps S601 to S606 in a crane counterweight detection method of the present application.
[0076] Figure 7 It is a flow chart of steps S701 to S704 in a crane counterweight detection method of the present application.
[0077] Figure 8 This is a module diagram of a crane counterweight detection system of the present application.
[0078] Description of reference numerals:
[0079] 1. Acquisition module; 2. Identification module; 3. Reading module; 4. Judgment module; 5. Calculation module; 6. Combination module; 7. Formation module. DETAILED DESCRIPTION
[0080] The following is combined with Figure 1-8 This application is described in further detail.
[0081] The embodiment of the present application discloses a method for detecting a crane counterweight, such as Figure 1 As shown, the following steps are included:
[0082] S101. Get the weight detection area information;
[0083] S102. Identify the counterweight detection area information and form feature information corresponding to the counterweight;
[0084] S103. Read the characteristic information and generate the corresponding weight data;
[0085] S104. Determine whether the weight data meets the preset weight standard;
[0086] S105. If the weight data meets the preset weight standard, the weight data is calculated according to the preset operation rules to generate the corresponding weight information;
[0087] S106. If the weight data does not meet the preset weight standard, then obtain the corresponding associated information according to the weight data, and generate the corresponding weight information according to the associated information;
[0088] S107. Analyze the counterweight information according to the preset lifting standard to generate corresponding detection results.
[0089] The counterweight detection area information in steps S101 to S103 refers to the detection image area information corresponding to the counterweight on the crane, the feature information refers to the relevant feature information in the current counterweight detection image area of the crane, and the counterweight data refers to the relevant data corresponding to the counterweight feature information.
[0090] In actual application, several small cameras can be configured on the crane to shoot the crane counterweight from multiple angles. The counterweight image information captured by the several small cameras can be combined to form corresponding counterweight detection area information. The system can identify the counterweight detection area information to form several feature information of the crane counterweight. By identifying several feature information, the counterweight data corresponding to the crane counterweight can be obtained, where the feature information can be information such as the specifications and quantity of the crane counterweight.
[0091] The preset counterweight standard in steps S104 to S106 refers to the counterweight standard information pre-set on the crane counterweight, the preset operation rule refers to the operation rule for obtaining the corresponding counterweight information through the counterweight data, the associated information refers to the relevant configuration information of the counterweight in the counterweight data, and the counterweight information refers to the weight of the crane counterweight and other related information.
[0092] In actual application, when the counterweight data meets the preset counterweight standard, the weight and quantity information of the counterweight can be identified through the collected image information of the counterweight block area, thereby determining the total mass of the current counterweight.
[0093] When the counterweight data does not meet the preset counterweight standard, the crane operator may not follow the crane's safe lifting guidelines and install counterweight blocks that do not meet the corresponding counterweight standard on the crane. As a result, the crane's counterweight may be incorrectly configured, resulting in the risk of the crane tipping over during the lifting process.
[0094] Therefore, when the counterweight data does not meet the preset counterweight standard, the relevant information of the current crane counterweight is obtained and analyzed, and the corresponding counterweight information can be further obtained according to the actual situation of the crane counterweight.
[0095] The preset lifting standard in step S107 refers to the safety standard of the crane during the process of lifting the target heavy object, and the detection result refers to the lifting safety range corresponding to the counterweight information of the current crane counterweight.
[0096] In actual application, the lifting safety range includes the maximum horizontal distance, which refers to the horizontal distance of the crane boom when the hook extends into the direction of the hoisted object under the premise of normal lifting operation, that is, the horizontal distance from the lower axis of the crane boom to the hook. The maximum horizontal distance can be determined by determining the actual situation at the construction site to determine the crane station position and the foundation position of the equipment, the position of the container, etc.
[0097] The crane counterweight detection method provided in this embodiment obtains characteristic information corresponding to the counterweight from the counterweight detection area information, then reads the characteristic information to generate the counterweight data corresponding to the current counterweight of the crane, and further determines whether the counterweight data meets the preset counterweight standard corresponding to the crane counterweight. If so, the counterweight data is calculated according to the preset operation rules to obtain the relevant counterweight information of the total weight of the counterweight. If not, the associated information corresponding to the counterweight is obtained, and the corresponding counterweight information is generated in combination with the obtained associated information. Finally, the current counterweight information is analyzed according to the preset lifting standard to obtain the detection result of the lifting range of the crane's current counterweight. According to the weight of the lifting target and the lifting range of the crane, a rough estimate is made to decide whether to adjust the crane counterweight, thereby improving the safety of the crane during the lifting process.
[0098] In one implementation of this embodiment, Figure 2As shown, the associated information includes weight attribute information. Step S106, i.e., if the weight data does not meet the preset weight standard, then obtaining corresponding associated information according to the weight data, and generating corresponding weight information according to the associated information, includes the following steps:
[0099] S201. If the weight data does not meet the preset weight standard, the corresponding material properties are obtained according to the weight attribute information;
[0100] S202. Determine whether the material properties meet the preset weight material standards;
[0101] S203. If the material properties meet the preset weight material standards, then obtain the corresponding material physical data and specification data according to the material properties;
[0102] S204. Combine the material physical data and specification data to generate corresponding weight information.
[0103] In actual application, material properties refer to the material of the counterweight block and related attribute information, the preset counterweight material standard refers to the material standard that the crane counterweight must meet, the material physical data refers to the relevant physical data of the counterweight material, and the specification data refers to the volume size data of the counterweight.
[0104] It should be noted that crane counterweights are generally made of high-density materials, such as cast iron, PVC, steel, concrete, cement blocks, etc. Large-tonnage cranes are equipped with counterweights when purchased, but crane operators will also make corresponding counterweights for the cranes. Among them, counterweights made of cement blocks must not only conform to the characteristics of the crane, but also be easy to place.
[0105] For example, according to the preset counterweight standard, the surface of the crane counterweight needs to be set with a corresponding bar identification code, and the weight information of the counterweight can be obtained by identifying the bar identification code; the counterweight data of all current counterweight blocks is obtained, and the counterweight data includes the image data of the counterweight block, and the image data includes the surface feature data of the counterweight block. Through the surface feature data, it can be obtained that the corresponding bar identification code is not set on the current counterweight block, so it can be determined that the counterweight data of the counterweight does not meet the corresponding preset counterweight standard.
[0106] Further, the material properties corresponding to the current counterweight block are obtained based on the counterweight attribute information. Through the material properties, it can be obtained that the current counterweight block is cast iron, and the material physical data and specification data of the cast iron are further obtained; among them, the material physical data of cast iron is the density of cast iron. By querying the relevant cast iron counterweight information, its corresponding density is 7.2 tons / cubic meter. The specification data of cast iron is the volume of cast iron. Through the image data of the counterweight block, the volume corresponding to each counterweight block is 0.6 cubic meters. Therefore, the corresponding counterweight information can be obtained by combining the density, volume and quantity of cast iron. The counterweight information is the total weight of all counterweight blocks. It is known that the number of cast iron counterweights is 2, and the total weight of the cast iron counterweights is 7.2×0.6×2=8.64 tons.
[0107] For another example, if it is determined that the material properties of the current counterweight do not meet the preset counterweight material standards, the image data of the current counterweight is directly collected, the actual properties of the current counterweight are obtained through analysis of the system background database, and corresponding prompt information is output based on the actual properties of the current counterweight.
[0108] The crane counterweight detection method provided in this embodiment obtains corresponding material physical data and specification data based on the material properties of the counterweight when the counterweight data does not meet the preset counterweight standard, thereby improving the efficiency and accuracy of obtaining crane counterweight information.
[0109] In one implementation of this embodiment, Figure 3 As shown, step S204, combining the material physical data and specification data to generate corresponding weight information, includes the following steps:
[0110] S301. Determine whether the weight is made of the same material based on the characteristic information;
[0111] S302. If the weight is made of the same material, obtain the corresponding quantity of the same material;
[0112] S303. Combined with material physical data, specification data and similar quantity, generate corresponding weight information;
[0113] S304. If the weight is made of a different material, obtain the corresponding target material properties and the corresponding target quantity;
[0114] S305. According to the target material properties, obtain the corresponding target material physical data and target specification data;
[0115] S306. Generate corresponding counterweight information based on the target material physical data, target specification data and target quantity.
[0116] In actual application, similar materials refer to the same type of counterweight materials, similar quantities refer to the number of counterweight blocks of the same material, target material properties refer to the material properties corresponding to counterweights of different types of materials, target quantities refer to the corresponding quantities of counterweights of different types of materials, target material physical data refer to the relevant physical data corresponding to counterweights of different types of materials, target specification data refer to the volume size data corresponding to counterweights of different types of materials, and counterweight information refers to the total weight of the counterweight.
[0117] For example, based on the characteristic information of the counterweight, it is judged that the current counterweights are all made of the same material, cast iron. The material physical data of the cast iron is further obtained. The material physical data is the density of cast iron 7.2 tons / cubic meter, and the material physical data of cast iron is the volume of cast iron 0.6 cubic meters. The corresponding number of the same type is 3 pieces. Combining the density of cast iron, the volume of cast iron and the number of cast iron, the corresponding total weight is 7.2×0.6×3=12.96 tons.
[0118] For another example, based on the characteristic information of the counterweights, it is judged that the current counterweights are all made of different types of materials. According to the target material properties, they are cast iron and concrete, respectively. The target number of cast iron is further obtained as 2 pieces, and the target number of concrete is 1 piece. Among them, the target material physical data of cast iron is the density of cast iron 7.2 tons / cubic meter, and the target specification data of cast iron is the volume of cast iron 0.6 cubic meter. The target material physical data of concrete is the density of concrete 1.8 tons / cubic meter, and the target specification data of concrete is the volume of concrete 0.6 cubic meter.
[0119] The total weight of the cast iron counterweight blocks is 7.2×0.6×2=8.64 tons, and the total weight of the concrete counterweight blocks is 1.8×0.6×1=1.08 tons, so the total weight of the counterweight is 8.64+1.08=9.72 tons.
[0120] The crane counterweight detection method provided in this embodiment performs classification analysis based on whether the current counterweight is made of the same material or different materials, and further obtains the corresponding counterweight information, thereby facilitating the acquisition of the corresponding counterweight information based on the actual situation of the current counterweight.
[0121] In one implementation of this embodiment, Figure 4 As shown, before step S201, i.e., determining whether the material attribute meets the preset counterweight material standard, the following steps are also included:
[0122] S401. According to the weight attribute information, obtain the corresponding outer contour data;
[0123] S402. Determine whether the outer contour data meets the preset outer contour standard;
[0124] S403. If the outer contour data does not meet the preset outer contour standard, the corresponding target defect data is obtained;
[0125] S404. Determine whether the target defect meets the preset lifting standard;
[0126] S405. If the target defect does not meet the preset lifting standard, the target defect is characterized according to the preset hidden danger standard to generate a target hidden danger level;
[0127] S406. Generate corresponding warning information according to the target hidden danger level.
[0128] In actual application, the outer contour data refers to the outer contour image data of each counterweight, the preset outer contour standard refers to the standard that the outer contour data of the counterweight should comply with, the target defect data refers to the defect data of the counterweight that does not comply with the corresponding preset outer contour standard, the preset lifting standard refers to the relevant safety standards that the crane should follow during the lifting process, the preset hidden danger standard refers to the impact standard of the target defect data of the counterweight on the lifting safety during the crane lifting process, and the target hidden danger level refers to the dangerous hidden danger level corresponding to the target defect data.
[0129] For example, according to the preset outer contour standard, the outer contour of each counterweight cannot have any concave or missing parts. After judging the outer contour data of the current counterweight, it is concluded that the current counterweight does not meet the corresponding preset outer contour standard. The target missing data corresponding to the counterweight is further obtained. Through the target missing data, it can be found that the outer contour of each counterweight has 4 concave or missing parts.
[0130] According to the preset lifting standard, the outer contour of each counterweight during the lifting process of the crane cannot have more than 3 concave missing parts. After judging the target missing data of the current counterweight block, it can be found that the outer contour of each counterweight has 4 concave missing parts. It can be determined that the target defect does not meet the corresponding preset lifting standard.
[0131] Further according to the preset hidden danger standards, it can be obtained that 3 concave and missing parts on the outer contour of each counterweight are level one hidden dangers, 4 concave and missing parts on the outer contour of each counterweight are level two hidden dangers, and more than 4 concave and missing parts on the outer contour of each counterweight are level three hidden dangers. The danger level of level three hidden dangers is greater than that of level two hidden dangers, and the danger level of level two hidden dangers is greater than that of level one hidden dangers. Therefore, the target defect data can be determined to be a level two hidden danger, and corresponding warning information can be generated based on the level two hidden dangers.
[0132] For another example, after judging the outer contour data of the current counterweight block and finding that the current counterweight block meets the corresponding preset outer contour standard, the system continues to collect the outer contour data of the counterweight block through the imaging device.
[0133] For another example, according to the target missing data, there are two concave missing parts in the outer contour of each counterweight. After judging the target missing data of the current counterweight block, it can be determined that the target defect meets the corresponding preset lifting standard. Then, the two concave missing parts of the outer contour of the current counterweight block are collected, and corresponding early warning prompt information is generated based on the two concave missing parts.
[0134] The crane counterweight detection method provided in this embodiment determines whether the outer contour data of the current crane counterweight meets the corresponding preset outer contour standard, and can further eliminate hidden dangers of the current crane counterweight, thereby improving the safety of the crane during the lifting process.
[0135] In one implementation of this embodiment, Figure 5 As shown, step S105, that is, if the weight data meets the preset weight standard, the weight data is calculated according to the preset operation rules to generate the corresponding weight information, including the following steps:
[0136] S501. If the weight data meets the preset weight standard, the corresponding weight identification data and weight quantity are obtained according to the weight data;
[0137] S502. Identify weight identification data and generate the corresponding target weight;
[0138] S503. Calculate the counterweight quantity and target weight according to preset operation rules, and generate corresponding counterweight information.
[0139] In actual application, weight identification data refers to the information identification data configured on each counterweight, the number of counterweights refers to the number of current counterweight blocks, the target weight refers to the weight corresponding to a single counterweight block, the preset operation rules refer to the relevant operation rules for deriving the corresponding counterweight information based on the number of counterweights and the target weight, and the counterweight information refers to the total weight of the counterweights.
[0140] For example, according to the preset counterweight standard, the counterweight block needs to be equipped with an identification tag containing the corresponding counterweight block information. After judging the counterweight data of the current counterweight block, each counterweight is equipped with a corresponding weight identification tag, and it can be determined that the counterweight block meets the preset counterweight standard. Further, by reading the weight identification tag, the weight identification data of each counterweight is obtained, and the target weight is 5 tons, and the number of counterweights is 5 pieces. According to the preset calculation rules, the target weight is multiplied by the corresponding number of counterweights to generate a total weight of 25 tons.
[0141] The crane counterweight detection method provided in this embodiment identifies the weight of the current counterweight based on the weight identification data, thereby facilitating acquisition of the crane counterweight information in combination with the corresponding counterweight quantity.
[0142] In one implementation of this embodiment, Figure 6As shown, step S107 is to analyze the counterweight information according to the preset lifting standard to form a corresponding detection result, which includes the following steps:
[0143] S601. Determine the weight bearing point based on the number of weights and the target weight;
[0144] S602. Analyze the counterweight force point according to the preset center of gravity rules and generate the corresponding counterweight center of gravity point;
[0145] S603. Get the weight of the object being hoisted;
[0146] S604. Combine the center of gravity of the counterweight and the weight of the hoisted object to construct a corresponding hoisting fitting curve;
[0147] S605. Obtain the weight range of the hoisted object according to the hoisting fitting curve;
[0148] S606. Generate corresponding detection results according to the weight range of the suspended object.
[0149] In actual application, the counterweight force point refers to the force point of the counterweight of the crane during the lifting process, the preset center of gravity rule refers to the rule for deriving the corresponding center of gravity point based on the counterweight force point, the counterweight center of gravity point refers to the center of gravity point of the counterweight during the lifting process, the weight of the hoisted object refers to the weight of the target object being lifted by the crane during the lifting process, the lifting fitting curve refers to the fitting curve formed by point projection based on the weight of the counterweight and the weight of the hoisted object, and the weight range of the hoisted object refers to the weight range of the target object that can be lifted based on the total weight of the current counterweight.
[0150] For example, if the current number of crane counterweights and the corresponding target weight are known, the force points of the counterweights can be determined, and the force points of the counterweights can be further analyzed according to the preset center rules. The center of gravity of the counterweights can be constructed through relevant algorithms. Then, the system collects relevant data, calculates the total weight of the counterweight block and the weight of the hoisted object, and then fits the corresponding hoisting fitting curve. The relevant range of the weight of the hoisted object can be determined based on the hoisting fitting curve.
[0151] The crane counterweight detection method provided in this embodiment combines the counterweight center of gravity and the weight of the hoisted object to construct a corresponding hoisting fitting curve, thereby facilitating the determination of the current crane's hoisted object weight range based on the hoisting fitting curve.
[0152] In one implementation of this embodiment, Figure 7 As shown, step S107 is to analyze the counterweight information according to the preset lifting standard to form a corresponding detection result, which includes the following steps:
[0153] S701. Get the crane's own weight and the weight of the object being hoisted;
[0154] S702. Get the arm opening data based on the crane's own weight, the weight of the object being hoisted, and the counterweight information;
[0155] S703. Determine whether the arm opening data meets the preset arm opening standard;
[0156] S704. If the arm opening data meets the preset arm opening standard, the corresponding arm opening range is obtained according to the arm opening data, and a corresponding detection result is formed according to the arm opening range.
[0157] In actual application, the arm opening data refers to the maximum arm opening angle and distance of the crane, the preset arm opening standard refers to the arm opening standard that should be met during the crane lifting process, and the arm opening range refers to the length and distance that the crane arm can open.
[0158] For example, the crane's own weight is A, the weight of the counterweight is B, the maximum arm opening distance is X, and the weight of the hoisted object is Y. According to the preset arm opening standard, (A+B)*3>X*Y. Once A, B and Y are known, the numerical range of X can be displayed, thereby knowing the maximum arm opening angle and distance of the crane arm.
[0159] The maximum boom opening angle and distance of the crane boom can be used to determine the maximum angle and maximum distance the boom can be extended based on the current counterweight during the lifting process, thereby determining its safe lifting range.
[0160] The crane counterweight detection method provided in this embodiment determines whether the arm opening data meets the corresponding preset arm opening standard, thereby facilitating the determination of the crane's arm opening range in combination with the current weight of the hoisted object.
[0161] The present application also discloses a crane counterweight detection system. Figure 8 Shown, including:
[0162] Acquisition module 1, used to obtain counterweight detection area information;
[0163] Identification module 2, used to identify the counterweight detection area information and form feature information corresponding to the counterweight;
[0164] Reading module 3, used to read characteristic information and generate corresponding weight data;
[0165] The judging module 4 is used to judge whether the weight data meets the preset weight standard;
[0166] Calculation module 5, if the weight data meets the preset weight standard, the calculation module 5 is used to calculate the weight data according to the preset operation rules and generate corresponding weight information;
[0167] Combining module 6, if the weight data does not meet the preset weight standard, combining module 6 is used to obtain corresponding associated information according to the weight data, and generate corresponding weight information in combination with the associated information;
[0168] The forming module 7 is used to analyze the counterweight information according to the preset lifting standard to form a corresponding detection result.
[0169] The crane counterweight detection system provided in this embodiment identifies the counterweight detection area information obtained by the acquisition module 1 according to the identification module 2, so as to form the characteristic information corresponding to the counterweight, and then reads the characteristic information through the reading module 3 to generate the counterweight data corresponding to the current counterweight of the crane, and further determines whether the counterweight data meets the preset counterweight standard corresponding to the crane counterweight through the judgment module 4. If it meets the standard, the counterweight data is calculated according to the preset operation rules by the calculation module 5 to obtain the relevant counterweight information of the total weight of the counterweight. If it does not meet the standard, the corresponding associated information of the counterweight is obtained, and the corresponding counterweight information is generated by combining the associated information through the combination module 6. Finally, the current counterweight information is analyzed according to the preset lifting standard by the formation module 7 to obtain the detection result of the lifting range of the current counterweight of the crane. According to the weight of the lifting target and the lifting range of the crane, a rough estimate is made to decide whether to adjust the counterweight of the crane, thereby improving the safety of the crane during the lifting process.
[0170] It should be noted that the crane counterweight detection system provided in the embodiment of the present application also includes various modules and / or corresponding sub-modules corresponding to the logical functions or logical steps of any of the above-mentioned crane counterweight detection methods, to achieve the same effects as each logical function or logical step, and the details will not be repeated here.
[0171] An embodiment of the present application also discloses a terminal device, including a memory, a processor, and computer instructions stored in the memory and capable of running on the processor, wherein when the processor executes the computer instructions, any one of the crane counterweight detection methods in the above embodiments is adopted.
[0172] Among them, the terminal device can be a computer device such as a desktop computer, a laptop computer or a cloud server, and the terminal device includes but is not limited to a processor and a memory. For example, the terminal device can also include input and output devices, network access devices and buses, etc.
[0173] Among them, the processor can adopt a central processing unit (CPU). Of course, according to actual usage, other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. can also be adopted. The general-purpose processor can adopt a microprocessor or any conventional processor, etc., and this application does not impose any restrictions on this.
[0174] Among them, the memory can be an internal storage unit of the terminal device, such as the hard disk or memory of the terminal device, or it can be an external storage device of the terminal device, such as a plug-in hard disk, smart memory card (SMC), secure digital card (SD) or flash memory card (FC) equipped on the terminal device, etc., and the memory can also be a combination of the internal storage unit and the external storage device of the terminal device. The memory is used to store computer instructions and other instructions and data required by the terminal device. The memory can also be used to temporarily store data that has been output or is to be output. This application does not impose any restrictions on this.
[0175] Among them, through this terminal device, any one of the crane counterweight detection in the above embodiments is stored in the memory of the terminal device, and is loaded and executed on the processor of the terminal device for easy use.
[0176] An embodiment of the present application further discloses a computer-readable storage medium, and the computer-readable storage medium stores computer instructions, wherein when the computer instructions are executed by a processor, any one of the crane counterweight detection methods in the above embodiments is adopted.
[0177] Among them, computer instructions can be stored in computer-readable media, computer instructions include computer instruction codes, computer instruction codes can be in source code form, object code form, executable files or certain middleware forms, etc. Computer-readable media include any entity or device that can carry computer instruction codes, recording media, USB flash drives, mobile hard drives, magnetic disks, optical disks, computer memories, read-only memories (ROMs), random access memories (RAMs), electrical carrier signals, telecommunication signals and software distribution media, etc. It should be noted that computer-readable media include but are not limited to the above-mentioned components.
[0178] Among them, through this computer-readable storage medium, any one of the crane counterweight detection methods in the above embodiments is stored in the computer-readable storage medium, and is loaded and executed on the processor to facilitate the storage and application of the above method.
[0179] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.
Claims
1. A crane counterweight detection method, characterized in that: The following steps are involved: Get the counterweight detection area information; Identifying the counterweight detection area information to form feature information corresponding to the counterweight; Reading the characteristic information and generating corresponding weight data; Determining whether the weight balance data meets the preset weight balance standard; If the counterweight data meets the preset counterweight standard, the counterweight data is calculated according to a preset operation rule to generate corresponding counterweight information, and the specific steps include: if the counterweight data meets the preset counterweight standard, obtaining corresponding weight identification data and counterweight quantity according to the counterweight data; identifying the weight identification data to generate a corresponding target weight; calculating the counterweight quantity and the target weight according to the preset operation rule to generate the corresponding counterweight information; If the weight data does not meet the preset weight standard, obtaining corresponding associated information according to the weight data, and generating corresponding weight information according to the associated information; Analyze the counterweight information according to the preset lifting standard to form a corresponding test result; Analyzing the counterweight information according to the preset lifting standard to form a corresponding detection result includes the following steps: Determining the counterweight force points according to the number of counterweights and the target weight; Analyze the counterweight force points according to the preset center of gravity rule to generate the corresponding counterweight center of gravity point; Get the weight of the suspended object; Combining the center of gravity of the counterweight and the weight of the hoisted object, constructing a corresponding hoisting fitting curve; Obtaining the weight range of the hoisted object according to the hoisting fitting curve; Generating the corresponding detection result according to the weight range of the suspended object; Get the crane's own weight and the weight of the object being hoisted; Acquiring arm opening data according to the crane's own weight, the weight of the hoisted object, and the counterweight information; Determining whether the arm opening data meets a preset arm opening standard; If the arm opening data meets the preset arm opening standard, the corresponding arm opening range is obtained according to the arm opening data, and the corresponding detection result is formed according to the arm opening range.
2. A crane counterweight detection method according to claim 1, characterized in that: The associated information includes weight attribute information. If the weight data does not meet the preset weight standard, obtaining corresponding associated information according to the weight data, and generating corresponding weight information according to the associated information includes the following steps: If the weight data does not meet the preset weight standard, obtaining corresponding material attributes according to the weight attribute information; Determining whether the material properties meet the preset counterweight material standards; If the material properties meet the preset counterweight material standard, then obtaining corresponding material physical data and specification data according to the material properties; The corresponding weight information is generated by combining the material physical data and the specification data.
3. A crane counterweight detection method according to claim 2, characterized in that: The step of combining the material physical data and the specification data to generate the corresponding weight information comprises the following steps: Determining whether the counterweight is made of the same material according to the characteristic information; If the weights are made of the same material, then the corresponding quantity of the same material is obtained; Combining the material physical data, the specification data and the quantity of the same type, generating the corresponding counterweight information; If the counterweights are made of different materials, the corresponding target material properties and the corresponding target quantity are obtained; According to the target material properties, obtaining corresponding target material physical data and target specification data; The corresponding counterweight information is generated by combining the target material physical data, the target specification data and the target quantity.
4. A crane counterweight detection method according to claim 2, characterized in that: Before determining whether the material properties meet the preset counterweight material standard, the following steps are also included: According to the counterweight attribute information, obtaining corresponding outer contour data; Determining whether the outer contour data meets a preset outer contour standard; If the outer contour data does not meet the preset outer contour standard, obtaining corresponding target defect data; Determine whether the target defect meets the preset lifting standard; If the target defect does not meet the preset lifting standard, the target defect is characterized according to the preset hidden danger standard to generate a target hidden danger level; According to the target hidden danger level, corresponding warning information is generated.
5. A crane counterweight detection system, characterized in that: include: An acquisition module (1) is used to obtain counterweight detection area information; An identification module (2) is used to identify the counterweight detection area information and form characteristic information corresponding to the counterweight; A reading module (3) is used to read the characteristic information and generate corresponding weight data; A judging module (4) is used to judge whether the weight data meets the preset weight standard; A calculation module (5), if the counterweight data meets the preset counterweight standard, the calculation module (5) is used to calculate the counterweight data according to a preset operation rule and generate corresponding counterweight information, and the specific steps include: if the counterweight data meets the preset counterweight standard, obtaining corresponding weight identification data and counterweight quantity according to the counterweight data; identifying the weight identification data and generating a corresponding target weight; calculating the counterweight quantity and the target weight according to the preset operation rule and generating the corresponding counterweight information; A combining module (6), if the weight data does not meet the preset weight standard, the combining module (6) is used to obtain corresponding associated information based on the weight data, and generate corresponding weight information in combination with the associated information; A forming module (7) is used to analyze the counterweight information according to a preset lifting standard to form a corresponding detection result; the analyzing the counterweight information according to the preset lifting standard to form a corresponding detection result includes the following steps: determining the counterweight force point according to the counterweight quantity and the target weight; analyzing the counterweight force point according to a preset center of gravity rule to generate a corresponding counterweight center of gravity point; obtaining the weight of the suspended object; constructing a corresponding lifting fitting curve based on the counterweight center of gravity point and the weight of the suspended object; obtaining the range of the suspended object weight according to the lifting fitting curve; and forming the corresponding detection result according to the range of the suspended object weight; the analyzing the counterweight information according to the preset lifting standard to form a corresponding detection result includes the following steps: obtaining the deadweight of the crane and the weight of the suspended object; obtaining arm opening data according to the deadweight of the crane, the weight of the suspended object and the counterweight information; judging whether the arm opening data meets the preset arm opening standard; if the arm opening data meets the preset arm opening standard, obtaining the corresponding arm opening range according to the arm opening data, and forming the corresponding detection result according to the arm opening range.
6. A terminal device comprising a memory and a processor, characterized in that: The memory stores computer instructions that can be run on the processor. When the processor loads and executes the computer instructions, the crane counterweight detection method according to any one of claims 1 to 4 is adopted.
7. A computer-readable storage medium storing computer instructions, characterized in that: When the computer instructions are loaded and executed by the processor, the crane counterweight detection method according to any one of claims 1 to 4 is adopted.
Citation Information
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